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TWM614686U - Radar device with automatic calibration - Google Patents

Radar device with automatic calibration Download PDF

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Publication number
TWM614686U
TWM614686U TW110202320U TW110202320U TWM614686U TW M614686 U TWM614686 U TW M614686U TW 110202320 U TW110202320 U TW 110202320U TW 110202320 U TW110202320 U TW 110202320U TW M614686 U TWM614686 U TW M614686U
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Taiwan
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information
vehicle
radar
time
filtered
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TW110202320U
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Chinese (zh)
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鄭瑞正
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磐岳科技股份有限公司
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Priority to TW110202320U priority Critical patent/TWM614686U/en
Publication of TWM614686U publication Critical patent/TWM614686U/en

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Abstract

一種具自動校正之雷達裝置可拆卸地組設於車輛,具自動校正之雷達裝置包括雷達、資訊過濾模組、資訊儲存單元以及運算模組。雷達具有初始角度資訊,雷達持續發射發射訊號後,接受對應的反射訊號並獲得多個環境資訊。資訊過濾模組電性連接雷達,資訊過濾模組接收環境資訊並將環境資訊過濾後得到多個濾後環境資訊。資訊儲存單元電性連接資訊過濾模組,資訊儲存單元接收並儲存濾後環境資訊。運算模組電性連接資訊儲存單元與雷達,運算模組接收濾後環境資訊後並經由運算獲得角度誤差值,運算模組於校正期間,根據角度誤差值調整雷達之初始角度資訊。A radar device with automatic calibration is detachably assembled on a vehicle. The radar device with automatic calibration includes a radar, an information filtering module, an information storage unit and a computing module. The radar has initial angle information. After the radar continuously emits the transmitted signal, it receives the corresponding reflected signal and obtains multiple environmental information. The information filtering module is electrically connected to the radar, and the information filtering module receives environmental information and filters the environmental information to obtain multiple filtered environmental information. The information storage unit is electrically connected to the information filtering module, and the information storage unit receives and stores filtered environmental information. The calculation module is electrically connected to the information storage unit and the radar. The calculation module receives the filtered environment information and obtains the angle error value through calculation. The calculation module adjusts the initial angle information of the radar according to the angle error value during the calibration period.

Description

具自動校正之雷達裝置Radar device with automatic calibration

本創作係關於一種雷達裝置,特別是指一種具自動校正之雷達裝置。This creation is about a radar device, especially a radar device with automatic correction.

雷達通常安裝於車輛上,用以感測車輛周圍的物體,以給予駕駛人警告或是給予駕駛人輔助,並可用於提供即時車輛運動資料給自動駕駛系統,進而提高車輛行駛之安全性。Radar is usually installed on a vehicle to sense objects around the vehicle to warn the driver or provide assistance to the driver, and can be used to provide real-time vehicle motion data to the automatic driving system, thereby improving the safety of the vehicle.

然而前提是雷達是必須安裝在正確的車輛位置上,但實際上雷達因自動駕駛需求觀測精度要求不斷提升,或者安裝於車輛上之雷達受到路面顛簸震動或碰撞,皆會導致雷達感測方向偏移,造成雷達偵測到物體之角度產生誤差,反而給予駕駛人錯誤警告或是給予駕駛人錯誤輔助。此外,當雷達偵測角度發生異常時,都需要回汽車維修廠,由技師進行雷達角度校正,但維修廠缺乏精密的設備。後裝市場與特殊車輛也都有校正安裝精度的困擾。However, the premise is that the radar must be installed in the correct position of the vehicle, but in fact, the radar needs to continuously improve the observation accuracy due to the needs of automatic driving, or the radar installed on the vehicle is subject to road bumps or collisions, which will cause the radar to sense the direction of deviation. Shift, resulting in an error in the angle of the object detected by the radar, but giving the driver a false warning or giving the driver false assistance. In addition, when the radar detection angle is abnormal, it is necessary to return to the car repair shop, and the technician will carry out the radar angle correction, but the repair shop lacks sophisticated equipment. The aftermarket and special vehicles are also troubled by calibration and installation accuracy.

鑒於上述,於一實施例中,提供一種具自動校正之雷達裝置,而且可拆卸地組設於車輛,具自動校正之雷達裝置包括雷達、資訊過濾模組、資訊儲存單元以及運算模組。雷達具有初始角度資訊,雷達持續發射發射訊號後,接受對應的反射訊號並獲得多個環境資訊。資訊過濾模組電性連接雷達,資訊過濾模組接收該些環境資訊並將該些環境資訊過濾後得到多個濾後環境資訊。資訊儲存單元電性連接資訊過濾模組,資訊儲存單元接收並儲存該些濾後環境資訊。運算模組電性連接資訊儲存單元與雷達,運算模組接收該些濾後環境資訊後並經由運算獲得誤差值,運算模組校正期間,根據角度誤差值補償調整雷達之初始角度資訊的偏移。In view of the above, in one embodiment, a radar device with automatic calibration is provided, and is detachably assembled in a vehicle. The radar device with automatic calibration includes a radar, an information filtering module, an information storage unit, and a computing module. The radar has initial angle information. After the radar continuously emits the transmitted signal, it receives the corresponding reflected signal and obtains multiple environmental information. The information filtering module is electrically connected to the radar, and the information filtering module receives the environmental information and filters the environmental information to obtain multiple filtered environmental information. The information storage unit is electrically connected to the information filtering module, and the information storage unit receives and stores the filtered environmental information. The calculation module is electrically connected to the information storage unit and the radar. The calculation module receives the filtered environmental information and obtains the error value through calculation. During the correction period, the calculation module compensates and adjusts the deviation of the initial angle information of the radar according to the angle error value. .

綜上,本創作實施例之具自動校正之雷達裝置,當雷達偵測物體之角度產生誤差時,可根據資訊儲存單元接收並儲存經資訊過濾模組過濾後之多個濾後環境資訊,再透過運算模組接收該些濾後環境資訊後並經由運算獲得角度誤差值,之後根據角度誤差值調整雷達之初始角度資訊,以達到自行校正雷達至正確之初始角度。藉此,由於具有自動校正功能的自動補償系統,能降低雷達裝置安裝精準度的要求,也可同步達到提高雷達用於偵測物體角度之正確性,並讓雷達裝置持續保持在最佳的工作狀態。此外,駕駛人也不需要回汽車維修廠便能自動校正,進而提昇後續維修保養的便利性及駕駛行車之安全性。再者,由於結構簡單,故也可提高生產速度並降低生產設備費用。In summary, the radar device with automatic calibration of this creative embodiment can receive and store multiple filtered environmental information filtered by the information filtering module according to the information storage unit when an error occurs in the angle of the radar detected object. After receiving the filtered environment information through the calculation module, the angle error value is obtained through calculation, and then the initial angle information of the radar is adjusted according to the angle error value to achieve the correct initial angle of the radar to be self-calibrated. As a result, due to the automatic compensation system with automatic correction function, it can reduce the requirements for the accuracy of the installation of the radar device, and can also simultaneously improve the accuracy of the radar used to detect the object angle, and keep the radar device continuously at the best work state. In addition, the driver can automatically calibrate without going back to the car repair shop, thereby improving the convenience of subsequent maintenance and the safety of driving. Furthermore, due to the simple structure, the production speed can be increased and the cost of production equipment can be reduced.

圖1為本創作具自動校正之雷達裝置第一實施例於第一時間之應用示意圖。如圖1所示,具自動校正之雷達裝置1可透過鎖附或卡合等組裝方式,可拆卸地組設於車輛20之前側,在此雖以雷達裝置1組設於車輛20之前側示意,但也可以裝設在車輛20的後側或是旁側,本創作不以此為限。在本實施例中,車輛20為四輪乘用車,四輪乘用車可為一般轎車、休旅車、中大巴士、遊覽車或跑車等。在一些實施例中,車輛20也可為履帶車,履帶車例如為坦克車、半履帶車或雪地車等。Fig. 1 is a schematic diagram of the first embodiment of creating a radar device with automatic calibration at the first time. As shown in Figure 1, the radar device 1 with automatic calibration can be detachably assembled on the front side of the vehicle 20 through assembly methods such as locking or snapping. Here, although the radar device 1 is assembled on the front side of the vehicle 20, it is shown here. , But it can also be installed on the back or side of the vehicle 20, and this creation is not limited to this. In this embodiment, the vehicle 20 is a four-wheel passenger vehicle, which may be a general car, a recreational vehicle, a medium-sized bus, a tourist car, or a sports car, etc. In some embodiments, the vehicle 20 may also be a tracked vehicle. The tracked vehicle is, for example, a tank vehicle, a half-tracked vehicle, or a snowmobile.

如圖1所示,在本實施例中,道路30包括同向車道31、對向車道32以及分隔島46,分隔島46位於同向車道31與對向車道32之間,道路30的兩旁具有靜止的交通號誌41、電子收費42、交通號誌44以及路燈45,道路30的前方具有陸橋43,同向車道31上具有車輛20以及車輛21,對向車道32上具有車輛22。As shown in Figure 1, in this embodiment, the road 30 includes a same lane 31, an opposite lane 32, and a separation island 46. The separation island 46 is located between the same lane 31 and the opposite lane 32. The road 30 has Stationary traffic signs 41, electronic toll collection 42, traffic signs 44 and street lights 45, a land bridge 43 is located in front of the road 30, a vehicle 20 and a vehicle 21 are located on the same lane 31, and a vehicle 22 is located on the opposite lane 32.

再請參閱圖1,縱向為真實世界中,車輛20筆直地行駛於道路30之方向,也就是說縱向即為車輛20之車體軸向。側向為真實世界中,車輛20由對向車道32偏移向同向車道31之方向。縱向速度為真實世界中,車輛20筆直地行駛於道路30之速度,側向速度為真實世界中,車輛20由對向車道32偏移向同向車道31之速度。因此,在真實世界中,當車輛20在第一時間以速度V 1筆直地行駛於同向車道31,車輛20僅具有縱向速度,也就是速度V 1,而不具有側向速度。在本實施例中,由於雷達10之安裝角度正確而不偏移,因此雷達10之軸向即為車輛20之車體軸向。 Please refer to FIG. 1 again. The longitudinal direction is the direction in which the vehicle 20 runs straight on the road 30 in the real world, that is, the longitudinal direction is the body axis of the vehicle 20. The lateral direction is the direction in which the vehicle 20 deviates from the opposite lane 32 to the same lane 31 in the real world. The longitudinal speed is the speed at which the vehicle 20 runs straight on the road 30 in the real world, and the lateral speed is the speed at which the vehicle 20 deviates from the opposite lane 32 to the same lane 31 in the real world. Therefore, in the real world, when the vehicle 20 travels straight in the same lane 31 at the speed V 1 for the first time, the vehicle 20 only has a longitudinal speed, that is, a speed V 1 , and does not have a lateral speed. In this embodiment, since the installation angle of the radar 10 is correct and not offset, the axial direction of the radar 10 is the axial direction of the vehicle body of the vehicle 20.

如圖1所示,在本實施例中,在第一時間下,交通號誌41、電子收費42、陸橋43、交通號誌44以及路燈45分別位於車輛20之前方,分隔島46位於車輛20之左側,車輛22位於車輛20之前方且車輛22之速度V D2與車輛20之速度V 1為反向,車輛21位於車輛20之前方且車輛21之速度V D1與車輛20之速度V 1為同向。 As shown in Figure 1, in this embodiment, at the first time, the traffic sign 41, the electronic toll collection 42, the land bridge 43, the traffic sign 44, and the street lamp 45 are respectively located in front of the vehicle 20, and the separation island 46 is located in the vehicle 20. the left side of the vehicle 22 until the vehicle speed Fangju 20 of 22 vehicle speed V D2 and V 1 of the vehicle 20 is reversed, the vehicle 21 until the vehicle speed 21 of the vehicle 20 Fangju velocity V D1 and V 1 is a vehicle of 20 In the same direction.

圖2為本創作具自動校正之雷達裝置第一實施例之系統架構圖。如圖2所示,在本實施例中,具自動校正之雷達裝置1包括雷達10、資訊過濾模組11、資訊儲存單元12以及運算模組13。Figure 2 is a system architecture diagram of the first embodiment of a radar device with automatic calibration created. As shown in FIG. 2, in this embodiment, the radar device 1 with automatic calibration includes a radar 10, an information filtering module 11, an information storage unit 12 and a computing module 13.

如圖1至圖2所示,在本實施例中,具自動校正之雷達裝置1之雷達10可為調頻連續波雷達(FMCW radar, Frequency modulated continuous waveform radar)。雷達10具有初始角度資訊,初始角度資訊可定義雷達10所判斷參考點之方位(在此參考點即為車輛20以外的其他物體),舉例來說,初始角度資訊可包括雷達方位角或雷達速度,其中,雷達方位角為雷達10偵測參考點後判斷參考點相對於雷達10之方位角,雷達速度為雷達10偵測參考點後判斷參考點相對於雷達10之速度。As shown in FIGS. 1 to 2, in this embodiment, the radar 10 of the radar device 1 with automatic correction may be a frequency modulated continuous wave radar (FMCW radar, Frequency Modulated Continuous Waveform Radar). The radar 10 has initial angle information. The initial angle information can define the azimuth of the reference point judged by the radar 10 (here the reference point is an object other than the vehicle 20). For example, the initial angle information can include the radar azimuth or the radar speed. , Where the radar azimuth is the azimuth angle of the reference point relative to the radar 10 after the radar 10 detects the reference point, and the radar speed is the speed of the reference point relative to the radar 10 after the radar 10 detects the reference point.

如圖1至圖2所示,在本實施例中,在第一時間下,組設於車輛20之前側的雷達10持續發射發射訊號P,並分別將持續發射的多個發射訊號P發射至第一時間環境參考點,第一時間環境參考點包括多個靜態環境參考點與多個動態環境參考點,多個靜態環境參考點可包括交通號誌41、電子收費42、陸橋43、交通號誌44以及路燈45,多個動態環境參考點可包括具有速度V D2之車輛22以及具有速度V D1之車輛21。在一些實施例中,多個靜態環境參考點也可包括其他含金屬成分的靜態物體,多個動態環境參考點也可包括其他含金屬成分的動態物體,但不以含金屬成分為限。 As shown in FIGS. 1 to 2, in this embodiment, at the first time, the radar 10 arranged on the front side of the vehicle 20 continuously transmits the transmission signal P, and transmits the continuously transmitted transmission signals P to The first-time environmental reference point. The first-time environmental reference point includes multiple static environmental reference points and multiple dynamic environmental reference points. The multiple static environmental reference points may include traffic signs 41, electronic toll collection 42, land bridge 43, and traffic numbers. For the log 44 and the street lamp 45, the multiple dynamic environment reference points may include a vehicle 22 with a speed V D2 and a vehicle 21 with a speed V D1. In some embodiments, the multiple static environmental reference points may also include other static objects containing metal components, and the multiple dynamic environmental reference points may also include other dynamic objects containing metal components, but are not limited to metal components.

承上,如圖1至圖2所示,之後組設於車輛20之前側的雷達10接受對應的反射訊號R並獲得第一時間環境資訊。第一時間環境資訊可包括多個靜態環境參考點資訊與多個動態環境參考點資訊。多個靜態環境參考點資訊可包括V R1,V R2,V R3,V R4,V R5R1R2R3R4R5,其中V R1與θ R1分別為雷達10在第一時間所偵測到的交通號誌41之雷達速度之數值以及雷達方位角之數值,V R2與θ R2分別為雷達10在第一時間所偵測到的電子收費42之雷達速度之數值以及雷達方位角之數值,V R3與θ R3分別為雷達10在第一時間所偵測到的陸橋43之雷達速度之數值以及雷達方位角之數值,V R4與θ R4分別為雷達10在第一時間所偵測到的交通號誌44之雷達速度之數值以及雷達方位角之數值,V R5與θ R5分別為雷達10在第一時間所偵測到的路燈45之雷達速度之數值以及雷達方位角之數值。在此雷達速度之數值為雷達10偵測參考點後判斷參考點相對於雷達10之速度之數值。雷達方位角之數值為雷達10偵測參考點後判斷參考點相對於雷達10之方位角之數值。多個動態環境參考點資訊可包括V R7,V R8R7以及θ R8,其中V R7與θ R7分別為雷達10在第一時間所偵測到的車輛21之雷達速度之數值以及雷達方位角之數值,V R8與θ R8分別為雷達10在第一時間所偵測到的車輛22之雷達速度之數值以及雷達方位角之數值。 Continuing, as shown in Figs. 1 to 2, the radar 10 installed on the front side of the vehicle 20 receives the corresponding reflected signal R and obtains the first time environmental information. The first-time environmental information may include multiple static environmental reference point information and multiple dynamic environmental reference point information. Multiple static environmental reference point information can include V R1 , V R2 , V R3 , V R4 , V R5 , θ R1 , θ R2 , θ R3 , θ R4 , θ R5 , where V R1 and θ R1 are radar 10 The value of the radar speed of the traffic sign 41 and the value of the radar azimuth angle detected at the first time. V R2 and θ R2 are respectively the value of the radar speed of the electronic toll 42 detected by the radar 10 at the first time And the value of the radar azimuth angle, V R3 and θ R3 are the radar speed value of the land bridge 43 detected by the radar 10 at the first time and the value of the radar azimuth angle, and V R4 and θ R4 are respectively the radar 10 in the first time. The value of the radar speed of the traffic sign 44 and the value of the radar azimuth angle detected at a time. V R5 and θ R5 are respectively the value of the radar speed of the street light 45 and the radar detected by the radar 10 at the first time. The value of the azimuth angle. Here, the value of the radar speed is the value of the speed of the reference point relative to the radar 10 after the radar 10 detects the reference point. The value of the radar azimuth angle is the value of the azimuth angle of the reference point relative to the radar 10 after the radar 10 detects the reference point. The multiple dynamic environmental reference point information may include V R7 , V R8 , θ R7 and θ R8 , where V R7 and θ R7 are respectively the value of the radar speed and the radar azimuth of the vehicle 21 detected by the radar 10 at the first time The value of the angle, V R8 and θ R8 are respectively the value of the radar speed of the vehicle 22 and the value of the radar azimuth angle detected by the radar 10 at the first time.

如圖1至圖2所示,在本實施例中,在第一時間,資訊過濾模組11電性連接雷達10,資訊過濾模組11接收上述第一時間環境資訊,並且資訊過濾模組11將上述第一時間環境資訊經運算過濾後得到第一時間濾後環境資訊。第一時間濾後環境資訊為上述第一時間環境資訊之多個靜態環境參考點資訊,也就是說資訊過濾模組11將第一時間環境資訊中的多個動態環境參考點資訊濾除,以保留第一時間環境資訊之多個靜態環境參考點資訊。As shown in FIGS. 1 to 2, in this embodiment, at the first time, the information filtering module 11 is electrically connected to the radar 10, the information filtering module 11 receives the first time environmental information, and the information filtering module 11 The first-time filtered environmental information is obtained after the above-mentioned first-time environmental information is filtered by calculation. The first-time filtered environmental information is the multiple static environmental reference point information of the first-time environmental information, that is to say, the information filtering module 11 filters multiple dynamic environmental reference point information in the first-time environmental information to Keep multiple static environmental reference point information for the first time environmental information.

如圖1至圖2所示,車輛20行駛在道路30上,車輛20之雷達10所偵測到的靜態環境參考點通常會多於動態環境參考點,例如在本實施例中,車輛20周圍的動態環境參考點僅有車輛21與車輛22,而靜態環境參考點則包括交通號誌41、電子收費42、陸橋43、交通號誌44以及路燈45。因此上述資訊過濾模組11之運算過濾的方式,可為從雷達10所偵測之各參考點之雷達速度數值中先取得眾數,並透過該眾數以做為判斷靜態環境參考點之依據。其中,眾數之容許誤差可例如為5%。舉例來說,以位於車輛20之前側的雷達裝置1為例,在第一時間下,假設V R1, V R2, V R3以及V R4皆為100 km/hr、V R5為97 km/hr、V R7為10 km/hr及V R8為200 km/hr,則取100 km/hr為眾數,由於97 km/hr在容許誤差5%內,因此判斷交通號誌41、電子收費42、陸橋43、交通號誌44以及路燈45皆為靜態環境參考點。 As shown in FIGS. 1 to 2, the vehicle 20 is traveling on the road 30, and the static environment reference points detected by the radar 10 of the vehicle 20 are usually more than the dynamic environment reference points. For example, in this embodiment, the surrounding area of the vehicle 20 The only dynamic environmental reference points for vehicles 21 and 22, while the static environmental reference points include traffic signs 41, electronic toll collection 42, land bridge 43, traffic signs 44, and street lights 45. Therefore, the calculation filtering method of the information filtering module 11 can be to first obtain the mode from the radar speed value of each reference point detected by the radar 10, and use the mode as the basis for judging the static environment reference point. . Among them, the allowable error of the mode can be, for example, 5%. For example, taking the radar device 1 located on the front side of the vehicle 20 as an example, at the first time, suppose that V R1 , V R2 , V R3 and V R4 are all 100 km/hr, V R5 is 97 km/hr, V R7 is 10 km/hr and V R8 is 200 km/hr, then 100 km/hr is taken as the mode. Since 97 km/hr is within the allowable error of 5%, it is judged that traffic signs 41, electronic toll collection 42, land bridges 43. Traffic signs 44 and street lights 45 are static environmental reference points.

如圖1至圖2所示,在本實施例中,位於車輛20之前側的雷達裝置1的資訊儲存單元12電性連接資訊過濾模組11,資訊儲存單元12接收並儲存第一時間濾後環境資訊。As shown in FIGS. 1 to 2, in this embodiment, the information storage unit 12 of the radar device 1 located in front of the vehicle 20 is electrically connected to the information filtering module 11, and the information storage unit 12 receives and stores the first time filtered Environmental information.

如圖1至圖2所示,運算模組13電性連接資訊儲存單元12與雷達10,運算模組13可接收上述第一時間濾後環境資訊並經由運算,獲得第一時間車輛速度資訊。其中,運算方式可以上述複數個雷達速度與複數個雷達方位角以最小平方法(least squares approach),計算出車輛20的瞬時車輛速度資訊與航行方向。第一時間車輛速度資訊可包括第一時間車輛縱向速度與第一時間車輛橫向速度,其中第一時間車輛縱向速度與第一時間車輛橫向速度分別為在第一時間下,位於車輛20前側之雷達裝置1的運算模組13所計算之車輛20之縱向速度以及橫向速度。運算模組13根據第一時間車輛縱向速度與第一時間車輛橫向速度獲得第一時間車輛偏位角。藉由第一時間車輛偏位角便可計算車輛20之航行方向。例如,在本實施例中,車輛20以速度V 1筆直地行駛於道路30之方向且雷達10之安裝角度不偏移,因此第一時間車輛縱向速度之數值即為速度V 1之數值,而第一時間車輛橫向速度之數值為零且第一時間車輛偏位角之數值為零。藉此,本創作實施例之具自動校正之雷達裝置1,可根據資訊儲存單元12接收並儲存經資訊過濾模組11過濾後之瞬時濾後環境資訊,再透過運算模組13接收上述瞬時濾後環境資訊並經由運算獲得瞬時車輛速度資訊,以判斷車輛20之速度以及車輛20之航行方向。 As shown in FIGS. 1 to 2, the computing module 13 is electrically connected to the information storage unit 12 and the radar 10. The computing module 13 can receive the first time filtered environmental information and obtain the first time vehicle speed information through calculations. Among them, the calculation method can use the least squares approach to calculate the instantaneous vehicle speed information and the navigation direction of the vehicle 20 with the multiple radar velocities and the multiple radar azimuth angles. The first time vehicle speed information may include the first time vehicle longitudinal speed and the first time vehicle lateral speed, where the first time vehicle longitudinal speed and the first time vehicle lateral speed are respectively the radar located in front of the vehicle 20 at the first time The longitudinal speed and lateral speed of the vehicle 20 calculated by the computing module 13 of the device 1. The calculation module 13 obtains the vehicle deflection angle at the first time according to the longitudinal speed of the vehicle at the first time and the lateral speed of the vehicle at the first time. The navigation direction of the vehicle 20 can be calculated based on the vehicle deflection angle at the first time. For example, in this embodiment, the vehicle 20 is traveling straight in the direction of the road 30 at a speed V 1 and the installation angle of the radar 10 does not deviate. Therefore, the value of the longitudinal speed of the vehicle at the first time is the value of the speed V 1 , and The value of the lateral speed of the vehicle at the first time is zero and the value of the vehicle yaw angle at the first time is zero. As a result, the radar device 1 with automatic calibration of the present creative embodiment can receive and store the instantaneous filtered environmental information filtered by the information filtering module 11 according to the information storage unit 12, and then receive the instantaneous filtering through the computing module 13 The post-environment information is also calculated to obtain instantaneous vehicle speed information to determine the speed of the vehicle 20 and the navigation direction of the vehicle 20.

圖3為本創作具自動校正之雷達裝置第二實施例於第一時間之應用示意圖。請參閱圖3,本實施例與第一實施例之差異在於本實施例之雷達10的安裝角度有偏移誤差,因此雷達10之軸向與車輛20之車體軸向不同,並且雷達10之軸向與車輛20之車體軸向之間形成車輛偏位角。由於雷達10於安裝時即存在角度偏移,因而影響雷達10所偵測之參考點的雷達方位角與雷達速度的正確性,進而也影響雷達裝置1所判斷的車輛20之速度以及航向的正確性。也就是說,雖然本實施例與第一實施例所偵測的第一時間環境參考點皆相同,但是由於本實施例之雷達10的安裝角度偏移誤差,因此本實施例之雷達裝置1所獲得的第一時間環境資訊以及第一時間濾後環境資訊會不同於第一實施例之第一時間環境資訊以及第一時間濾後環境資訊,進而影響後續運算模組13的運算。以下就如何利用本實施例之具自動校正之雷達裝置1來進行校正作敘述。Fig. 3 is a schematic diagram of the application of the second embodiment of the radar device with automatic calibration at the first time. 3, the difference between this embodiment and the first embodiment is that the installation angle of the radar 10 of this embodiment has an offset error, so the axial direction of the radar 10 is different from the body axial direction of the vehicle 20, and the difference between the radar 10 A vehicle deflection angle is formed between the axial direction and the axial direction of the vehicle body of the vehicle 20. Since the radar 10 has an angular offset when it is installed, it affects the accuracy of the radar azimuth and radar speed of the reference point detected by the radar 10, and also affects the accuracy of the speed and heading of the vehicle 20 judged by the radar device 1 sex. That is to say, although the first time environmental reference points detected in this embodiment and the first embodiment are the same, due to the offset error of the installation angle of the radar 10 in this embodiment, the radar device 1 in this embodiment is The obtained first-time environment information and the first-time filtered environment information are different from the first-time environment information and the first-time filtered environment information of the first embodiment, and thus affect the operation of the subsequent operation module 13. The following describes how to use the radar device 1 with automatic calibration of this embodiment to perform calibration.

圖4為本創作具自動校正之雷達裝置第二實施例於第二時間之應用示意圖。其中圖4之第二時間為圖3之車輛20在第一時間後持續筆直地行駛於道路30之某一時間。在本實例中,為方便說明係提供二個差異較大的不同時間點為例示作說明,但實際上可能一秒內即可取得多個不同時間點的所需資訊來進行分析判斷。如圖4所示,在第二時間,車輛20以速度V 2筆直地行駛於同向車道31,此時,車輛21與車輛22仍舊位於車輛20之前方,但相較於第一時間車輛22更靠近於車輛20,車輛22之速度V D2’與車輛20之速度V 2為反向,而車輛21之速度V D1’與車輛20之速度V 2為同向。 Fig. 4 is a schematic diagram of the application of the second embodiment of the radar device with automatic calibration at the second time. The second time in FIG. 4 is a certain time when the vehicle 20 in FIG. 3 continues to drive straight on the road 30 after the first time. In this example, for the convenience of explanation, two different time points with large differences are provided as examples for illustration, but in fact, it is possible to obtain the required information at multiple different time points within one second for analysis and judgment. 4, at a second time, the vehicle 20 at a speed V 2 to the straight traveling in the same lane 31, at this time, the vehicle 21 and the vehicle 22 is still located before the vehicle 20 side, but compared to the first time of the vehicle 22 Closer to the vehicle 20, the speed V D2 ′ of the vehicle 22 is opposite to the speed V 2 of the vehicle 20, and the speed V D1 ′ of the vehicle 21 and the speed V 2 of the vehicle 20 are in the same direction.

如圖2與圖4所示,在本實施例中,校正期間為雷達裝置1進行校正作業的一段時間,其中校正期間包含第一時間與第二時間,在第二時間下,雷達10發射發射訊號P至第二時間環境參考點,第二時間環境參考點包括多個靜態環境參考點與多個動態環境參考點,多個靜態環境參考點可包括靜止的電子收費42、陸橋43、交通號誌44、路燈45以及分隔島46,多個動態環境參考點可包括具有速度V D1’之車輛21以及具有速度V D2’之車輛22。 As shown in FIGS. 2 and 4, in this embodiment, the calibration period is a period of time during which the radar device 1 performs calibration operations. The calibration period includes a first time and a second time. At the second time, the radar 10 transmits Signal P to a second time environmental reference point, the second time environmental reference point includes multiple static environmental reference points and multiple dynamic environmental reference points, multiple static environmental reference points may include static electronic toll 42, land bridge 43, traffic number For the log 44, the street lamp 45 and the separation island 46, a plurality of dynamic environmental reference points may include a vehicle 21 having a speed V D1 ′ and a vehicle 22 having a speed V D2 ′.

承上,如圖2與圖4所示,之後組設於車輛20之前側的雷達10接受對應的反射訊號R並獲得第二時間環境資訊。第二時間環境資訊可包括多個靜態環境參考點資訊與多個動態環境參考點資訊。多個靜態環境參考點資訊可包括V R2’, V R3’, V R4’, V R5’, V R6’, θ R2’, θ R3’, θ R4’, θ R5’, θ R6’,其中V R2’與θ R2’分別為雷達10在第二時間所偵測到的電子收費42之雷達速度之數值以及雷達方位角之數值,V R3’與θ R3’分別為雷達10在第二時間所偵測到的陸橋43之雷達速度之數值以及雷達方位角之數值,V R4’與θ R4’分別為雷達10在第二時間所偵測到的交通號誌44之雷達速度之數值以及雷達方位角之數值,V R5’與θ R5’分別為雷達10在第二時間所偵測到的路燈45之雷達速度之數值以及雷達方位角之數值,V R6’與θ R6’分別為雷達10在第二時間所偵測到的分隔島46之雷達速度之數值以及雷達方位角之數值。多個動態環境參考點資訊可包括V R7’, V R8’, θ R7’以及θ R8’,其中V R7’與θ R7’分別為雷達10在第二時間所偵測到的車輛21之雷達速度之數值以及雷達方位角之數值,V R8’與θ R8’分別為雷達10在第二時間所偵測到的車輛22之雷達速度之數值以及雷達方位角之數值。 In addition, as shown in FIGS. 2 and 4, the radar 10 installed on the front side of the vehicle 20 receives the corresponding reflected signal R and obtains the second time environmental information. The second-time environmental information may include multiple static environmental reference point information and multiple dynamic environmental reference point information. Multiple static environmental reference point information can include V R2 ', V R3 ', V R4 ', V R5 ', V R6 ', θ R2 ', θ R3 ', θ R4 ', θ R5 ', θ R6 ', where V R2 'and θ R2 ' are respectively the radar speed value and the radar azimuth value of the electronic toll 42 detected by the radar 10 at the second time. V R3 'and θ R3 ' are respectively the radar 10 at the second time The value of the radar speed and the radar azimuth angle of the detected land bridge 43. V R4 'and θ R4 ' are respectively the value of the radar speed and the radar speed of the traffic sign 44 detected by the radar 10 at the second time The value of the azimuth angle, V R5 'and θ R5 ' are respectively the value of the radar speed and the radar azimuth angle of the street light 45 detected by the radar 10 at the second time, and V R6 'and θ R6 ' are the radar 10 respectively The value of the radar speed and the value of the radar azimuth angle of the separated island 46 detected at the second time. The multiple dynamic environment reference point information may include V R7 ', V R8 ', θ R7 'and θ R8 ', where V R7 ' and θ R7 'are the radars of the vehicle 21 detected by the radar 10 at the second time. The value of the speed and the value of the radar azimuth, V R8 'and θ R8 ' are respectively the value of the radar speed and the value of the radar azimuth of the vehicle 22 detected by the radar 10 at the second time.

如圖2至圖4所示,在本實施例中,資訊過濾模組11接收上述多個環境資訊。具體來說,在第一時間,資訊過濾模組11接收上述第一時間環境資訊,在第二時間,資訊過濾模組11接收上述第二時間環境資訊,並且資訊過濾模組11將上述第一時間環境資訊與上述第二時間環境資訊經運算過濾後得到第一時間濾後環境資訊以及第二時間濾後環境資訊。第一時間濾後環境資訊為上述第一時間環境資訊之多個靜態環境參考點資訊,第二時間濾後環境資訊為上述第二時間環境資訊之多個靜態環境參考點資訊。也就是說資訊過濾模組11分別將第一時間環境資訊中的多個動態環境參考點資訊以及第二時間環境資訊中的多個動態環境參考點資訊濾除,以保留第一時間環境資訊之多個靜態環境參考點資訊以及第二時間環境資訊之多個靜態環境參考點資訊。As shown in FIGS. 2 to 4, in this embodiment, the information filtering module 11 receives the aforementioned multiple environmental information. Specifically, at the first time, the information filtering module 11 receives the aforementioned first-time environmental information, at the second time, the information filtering module 11 receives the aforementioned second-time environmental information, and the information filtering module 11 compares the aforementioned first The time environment information and the above-mentioned second time environment information are calculated and filtered to obtain the first time filtered environment information and the second time filtered environment information. The first-time filtered environmental information is a plurality of static environmental reference point information of the above-mentioned first-time environmental information, and the second-time filtered environmental information is a plurality of static environmental reference point information of the above-mentioned second-time environmental information. That is to say, the information filtering module 11 respectively filters out multiple dynamic environmental reference point information in the first-time environmental information and multiple dynamic environmental reference point information in the second-time environmental information, so as to retain some of the first-time environmental information. Multiple static environment reference point information and multiple static environment reference point information of the second time environment information.

如圖2至圖4所示,資訊儲存單元12接收並儲存多個濾後環境資訊,具體來說,在本實施例中,上述多個濾後環境資訊包括上述本實施例之第一時間濾後環境資訊與第二時間濾後環境資訊。As shown in FIGS. 2 to 4, the information storage unit 12 receives and stores a plurality of filtered environmental information. Specifically, in this embodiment, the plurality of filtered environmental information includes the first time filtering of the above-mentioned embodiment. Post-environmental information and second-time filtered post-environmental information.

如圖2至圖4所示,在本實施例中,運算模組13可接收上述第一時間濾後環境資訊以及上述第二時間濾後環境資訊並分別經由運算,運算方式可為例如最小平方法(least squares approach),藉此,以分別獲得第一時間車輛速度資訊以及第二時間車輛速度資訊。第一時間車輛速度資訊可包括第一時間車輛縱向速度V 1y與第一時間車輛橫向速度V 1x。第二時間車輛速度資訊可包括第二時間車輛縱向速度V 2y與第二時間車輛橫向速度V 2x。其中,第一時間車輛縱向速度V 1y與第一時間車輛橫向速度V 1x分別為在第一時間下,運算模組13所計算之車輛20之縱向速度以及橫向速度,第二時間車輛縱向速度V 2y與第二時間車輛橫向速度V 2x分別為在第二時間下,運算模組13所計算之車輛20之縱向速度以及橫向速度。 As shown in FIGS. 2 to 4, in this embodiment, the calculation module 13 can receive the first time filtered environment information and the second time filtered environment information and perform calculations respectively. The calculation method may be, for example, the least square Method (least squares approach), by which the vehicle speed information at the first time and the vehicle speed information at the second time can be obtained respectively. The first time vehicle speed information may include the first time vehicle longitudinal speed V 1y and the first time vehicle lateral speed V 1x . The second time vehicle speed information may include the second time vehicle longitudinal speed V 2y and the second time vehicle lateral speed V 2x . Among them, the first time vehicle longitudinal speed V 1y and the first time vehicle lateral speed V 1x are respectively the longitudinal speed and lateral speed of the vehicle 20 calculated by the computing module 13 at the first time, and the second time vehicle longitudinal speed V 2y and the second time vehicle lateral speed V 2x are respectively the longitudinal speed and the lateral speed of the vehicle 20 calculated by the computing module 13 at the second time.

承上,在本實施例中,如圖3至圖4所示,由於雷達裝置1尚未校正,因此第一時間車輛縱向速度V 1y與第一時間車輛橫向速度V 1x並非分別指向真實世界中車輛20之縱向速度V 1與車輛20之橫向速度。第二時間車輛縱向速度V 2y與第二時間車輛橫向速度V 2x也並非分別指向真實世界中車輛20之縱向速度V 2以及車輛20之橫向速度,並且第一時間車輛縱向速度V 1y與第二時間車輛縱向速度V 2y分別與車輛20之速度V 1,V 2形成第一時間車輛偏位角ϕ1與第二時間車輛偏位角ϕ2,因此,在本實施例中,雷達裝置1會誤判車輛20是具有偏移或轉彎的運動行為。 In conclusion, in this embodiment, as shown in FIGS. 3 to 4, since the radar device 1 has not been calibrated, the first time vehicle longitudinal speed V 1y and the first time vehicle lateral speed V 1x are not respectively directed to the vehicle in the real world. The longitudinal speed V 1 of 20 and the lateral speed of the vehicle 20. The second time vehicle longitudinal speed V 2y and the second time vehicle lateral speed V 2x do not respectively point to the longitudinal speed V 2 of the vehicle 20 and the lateral speed of the vehicle 20 in the real world, and the vehicle longitudinal speed V 1y and the second time The longitudinal vehicle speed V 2y of the time and the speeds V 1 and V 2 of the vehicle 20 respectively form the vehicle deflection angle ϕ1 at the first time and the vehicle deflection angle ϕ2 at the second time. Therefore, in this embodiment, the radar device 1 will misjudge the vehicle 20 is a movement behavior with offset or turning.

承上,在本實施例中,運算模組13進一步根據第一時間車輛縱向速度V 1y與第一時間車輛橫向速度V 1x以及第二時間車輛縱向速度V 2y與第二時間車輛橫向速度V 2x以分別獲得第一時間車輛偏位角ϕ1以及第二時間車輛偏位角ϕ2,並且比對第一時間車輛偏位角ϕ1與第二時間車輛偏位角ϕ2。由於在本實施例中,車輛20是筆直地行駛於長直的道路30,因此,第一時間車輛偏位角ϕ1與第二時間車輛偏位角ϕ2比對的結果應為相同或近似,運算模組13可取第一時間車輛偏位角ϕ1之數值、第二時間車輛偏位角ϕ2之數值或是第一時間車輛偏位角ϕ1與第二時間車輛偏位角ϕ2之平均數值以獲得一角度誤差值,運算模組13根據上述角度誤差值調整雷達10之上述初始角度資訊。 In conclusion, in this embodiment, the computing module 13 further determines the vehicle longitudinal speed V 1y at the first time and the vehicle lateral speed V 1x at the first time, and the vehicle longitudinal speed V 2y at the second time and the vehicle lateral speed V 2x at the second time. To obtain the vehicle deflection angle ϕ1 at the first time and the vehicle deflection angle ϕ2 at the second time respectively, and compare the vehicle deflection angle ϕ1 at the first time with the vehicle deflection angle ϕ2 at the second time. Since in this embodiment, the vehicle 20 is driving straight on a long straight road 30, the comparison result of the vehicle deflection angle ϕ1 at the first time and the vehicle deflection angle ϕ2 at the second time should be the same or similar. The module 13 can take the value of the vehicle deflection angle ϕ1 at the first time, the value of the vehicle deflection angle ϕ2 at the second time, or the average value of the vehicle deflection angle ϕ1 at the first time and the vehicle deflection angle ϕ2 at the second time to obtain a value. For the angle error value, the calculation module 13 adjusts the initial angle information of the radar 10 according to the angle error value.

圖5為本創作具自動校正之雷達裝置第二實施例於第一時間至第N時間之應用示意圖。其中,圖5的第一時間t1的車輛20與交通號誌44的相對關係以及第二時間t2的車輛20與交通號誌44的相對關係分別為圖3以及圖4中車輛20與交通號誌44的相對位置關係,在此僅以交通號誌44為靜態環境參考點做示例,但靜態環境參考點的選擇不以此為限。如圖5所示,在本實施例中,車輛20在真實世界中是沿著車體軸向C移動,而雷達10之雷達軸A(即雷達之軸向)與車體軸向C非平行,因此形成角度誤差值ψ。FIG. 5 is a schematic diagram of the application of the second embodiment of the radar device with automatic calibration from the first time to the Nth time. Among them, the relative relationship between the vehicle 20 and the traffic sign 44 at the first time t1 in FIG. 5 and the relative relationship between the vehicle 20 and the traffic sign 44 at the second time t2 are shown in FIGS. 3 and 4, respectively. The relative position relationship of 44, here is only the traffic sign 44 as the static environment reference point as an example, but the selection of the static environment reference point is not limited to this. As shown in FIG. 5, in this embodiment, the vehicle 20 moves along the vehicle body axis C in the real world, and the radar axis A (ie the radar axis) of the radar 10 is not parallel to the vehicle body axis C , Thus forming the angle error value ψ.

承上,如圖5所示,在本實施例中,校正期間包含第一時間t1至第N時間tn。雷達裝置1持續地擷取相同的靜態環境參考點資訊,例如,在第一時間t1下,車輛20以速度V 1筆直地朝車體軸向C移動並且雷達10對交通號誌44發射訊號,因此第一時間濾後環境資訊包括V R4,在第二時間t2下,車輛20以速度V 2筆直地朝車體軸向C移動並且雷達10對交通號誌44發射訊號,因此第二時間濾後環境資訊包括V R4’,在第N時間tn下,車輛20以速度V n筆直地朝車體軸向C移動並且雷達10對交通號誌44發射訊號,因此第N時間濾後環境資訊包括V R4’’,其中V R4’’為雷達10在第N時間tn所偵測到的交通號誌44之雷達速度之數值。透過上述多個不同時間點的濾後環境資訊,運算模組13可以速度換算求得每個時間點之間車輛20的移動距離以及每個時間點之間在雷達橫軸方向車輛20的移動距離(例如在第一時間t1與第二時間t2之間,在雷達橫軸方向車輛20的移動距離為距離ΔX1-距離ΔX2。在第一時間t1與第N時間tn之間,在雷達橫軸方向車輛20的移動距離為距離ΔX1-距離ΔXn)。因此,本實施例之雷達裝置1也可透過在第一時間t1、第二時間t2,…以及第N時間tn等多個時間點所獲得的多個濾後環境資訊並應用該些濾後環境資訊做曲線擬合(Curve fitting)即可獲得車輛20的航行路徑以求得角度誤差值ψ,進而達到自行校正雷達10至正確之初始角度。 In conclusion, as shown in FIG. 5, in this embodiment, the calibration period includes the first time t1 to the Nth time tn. The radar device 1 continually extracting the reference point of the same static environment information, for example, at a first time t1, the vehicle speed V 1 at 20 straightly moved axially C 44 emitted radar signals and the vehicle body 10 pairs of traffic signals, Therefore, the filtered environment information at the first time includes V R4 . At the second time t2, the vehicle 20 moves straight toward the vehicle body axis C at a speed V 2 and the radar 10 transmits a signal to the traffic sign 44, so the second time filter after the environmental information comprises a V R4 ', at the N-th time TN, the vehicle speed V n 20 is straightly moved axially C 44 emitted radar signals and the vehicle body 10 pairs of traffic signs, so after filtration N environment information comprises time V R4 ” , where V R4 ” is the value of the radar speed of the traffic sign 44 detected by the radar 10 at the Nth time tn. Through the above-mentioned filtered environment information at different time points, the computing module 13 can calculate the moving distance of the vehicle 20 between each time point and the moving distance of the vehicle 20 in the radar horizontal axis direction between each time point by speed conversion. (For example, between the first time t1 and the second time t2, the moving distance of the vehicle 20 in the radar horizontal axis direction is the distance ΔX1-distance ΔX2. Between the first time t1 and the Nth time tn, in the radar horizontal axis direction The moving distance of the vehicle 20 is a distance ΔX1-distance ΔXn). Therefore, the radar device 1 of this embodiment can also use a plurality of filtered environment information obtained at multiple time points such as the first time t1, the second time t2, ..., and the Nth time tn, and apply the filtered environment Curve fitting of the information can obtain the navigation path of the vehicle 20 to obtain the angle error value ψ, and then the radar 10 can be self-calibrated to the correct initial angle.

綜上,本創作實施例之具自動校正之雷達裝置1,當雷達10偵測物體之角度產生誤差時,可根據資訊儲存單元12接收並儲存經資訊過濾模組11過濾後之多個濾後環境資訊,再透過運算模組13接收上述多個濾後環境資訊後並經由運算獲得角度誤差值,之後根據角度誤差值調整雷達10之初始角度資訊,以達到自行校正雷達10至正確之初始角度。藉此,由於具有自動校正功能的自動補償系統,能降低雷達裝置1安裝精準度的要求,也可同步達到提高雷達10用於偵測物體角度之正確性,並讓雷達裝置1持續保持在最佳的工作狀態。此外,駕駛人也不需要回汽車維修廠便能自動校正,進而提昇後續維修保養的便利性及駕駛行車之安全性。再者,由於結構簡單、又具自動校正補償之能力,故也可提高生產速度並降低生產設備費用。In summary, the radar device 1 with automatic correction of this creative embodiment, when the radar 10 detects the angle of an object, can receive and store multiple filtered results filtered by the information filtering module 11 according to the information storage unit 12 The environmental information is then received through the calculation module 13 to obtain the above-mentioned filtered environmental information and the angle error value is obtained through calculation, and then the initial angle information of the radar 10 is adjusted according to the angle error value, so as to correct the radar 10 to the correct initial angle. . As a result, due to the automatic compensation system with automatic correction function, the requirements for the installation accuracy of the radar device 1 can be reduced, and the accuracy of the angle used by the radar 10 for detecting objects can also be improved simultaneously, and the radar device 1 can continue to be kept at the highest level. Good working condition. In addition, the driver can automatically calibrate without going back to the car repair shop, thereby improving the convenience of subsequent maintenance and the safety of driving. Furthermore, due to the simple structure and the ability of automatic correction and compensation, the production speed can be increased and the cost of production equipment can be reduced.

承上,另外,在本實施例中,校正期間是透過人為判斷車輛20是否筆直地行駛於道路30上,因此,本創作實施例之具自動校正之雷達裝置1,可透過人為駕駛車輛20並判斷車輛20筆直地行駛於道路30上,使組裝於車輛20之雷達10獲得第一時間環境資訊與第二時間環境資訊,第一時間環境資訊與第二時間環境資訊再透過資訊過濾模組11分別過濾為第一時間濾後環境資訊與第二時間濾後環境資訊,再將第一時間濾後環境資訊與第二時間濾後環境資訊經運算模組13運算,獲得角度誤差值,因此,本創作實施例之具自動校正之雷達裝置1,僅須透過駕駛人筆直地行駛於直線道路,便可達到自行校正雷達10偵測物體之角度。In addition, in this embodiment, the calibration period is to manually determine whether the vehicle 20 is driving straight on the road 30. Therefore, the radar device 1 with automatic calibration of this creative embodiment can be used to manually drive the vehicle 20 and It is determined that the vehicle 20 is driving straight on the road 30, so that the radar 10 assembled in the vehicle 20 obtains the first-time environmental information and the second-time environmental information, and the first-time environmental information and the second-time environmental information pass through the information filtering module 11 Filtered into the first time filtered environment information and the second time filtered environment information respectively, and then the first time filtered environment information and the second time filtered environment information are calculated by the calculation module 13 to obtain the angle error value, therefore, The radar device 1 with automatic correction of the present creative embodiment can self-correct the angle of the object detected by the radar 10 only by driving the driver straight on a straight road.

如圖2所示,在本實施例中,具自動校正之雷達裝置1更包括通訊裝置14,通訊裝置14耦接運算模組13與外部裝置15,外部裝置15可為智慧型手機或行車電腦,若外部裝置15為智慧型手機,通訊裝置14可透過藍芽傳輸(Bluetooth transmission)之方式耦接運算模組13與外部裝置15,若外部裝置15為行車電腦,則通訊裝置14可透過控制器區域網路(Controller Area Network,CAN)之傳輸方式耦接運算模組13與外部裝置15。在一些實施例中,也可以在雷達10內建或外接陀螺儀。As shown in FIG. 2, in this embodiment, the radar device 1 with automatic calibration further includes a communication device 14. The communication device 14 is coupled to the computing module 13 and an external device 15. The external device 15 can be a smart phone or a trip computer. If the external device 15 is a smart phone, the communication device 14 can couple the computing module 13 and the external device 15 through Bluetooth transmission. If the external device 15 is a trip computer, the communication device 14 can be controlled by The transmission method of the Controller Area Network (CAN) is coupled to the computing module 13 and the external device 15. In some embodiments, a gyroscope can also be built in or externally connected to the radar 10.

如圖2所示,外部裝置15包括車輛資訊,舉例來說,若外部裝置15為智慧型手機,由於智慧型手機具有陀螺儀感測器,透過陀螺儀感測器可測得智慧型手機本身之偏位角。在本實施例中,智慧型手機是放置於車輛20上,因此也可測得車輛20之偏位角,所以在本實施例中,外部裝置15之車輛資訊包括智慧型手機所測得之車輛20的偏位角。再舉例來說,若外部裝置15為行車電腦,由於行車電腦可持續取得車輛20之方向盤的轉角資訊,因此在本實施例中,外部裝置15之車輛資訊也可包括車輛20之方向盤的轉角資訊。As shown in Figure 2, the external device 15 includes vehicle information. For example, if the external device 15 is a smart phone, since the smart phone has a gyroscope sensor, the smart phone itself can be measured through the gyroscope sensor. The deflection angle. In this embodiment, the smart phone is placed on the vehicle 20, so the deflection angle of the vehicle 20 can also be measured. Therefore, in this embodiment, the vehicle information of the external device 15 includes the vehicle measured by the smart phone Deflection angle of 20. For another example, if the external device 15 is a trip computer, since the trip computer can continuously obtain the steering wheel angle information of the vehicle 20, in this embodiment, the vehicle information of the external device 15 may also include the steering wheel angle information of the vehicle 20 .

如圖2至圖4所示,在本實施例中,多個濾後環境資訊包括瞬時濾後環境資訊,瞬時濾後環境資訊為,在某時間下,資訊過濾模組11經運算過濾後所得到之濾後環境資訊。舉例來說,在第一時間下,資訊過濾模組11經運算過濾後得到第一時間濾後環境資訊,因此,此時的瞬時濾後環境資訊即為第一時間濾後環境資訊。同理,在第二時間下,瞬時濾後環境資訊即為第二時間濾後環境資訊。As shown in FIGS. 2 to 4, in this embodiment, the multiple filtered environment information includes instantaneous filtered environment information. Get the filtered environmental information. For example, at the first time, the information filtering module 11 obtains the first time filtered environment information after calculation and filtering. Therefore, the instantaneous filtered environment information at this time is the first time filtered environment information. Similarly, in the second time, the instantaneously filtered environmental information is the second-time filtered environmental information.

如圖2至圖4所示,在本實施例中,運算模組13可根據瞬時濾後環境資訊求得瞬時車輛偏位角,舉例來說,在第一時間下,瞬時車輛偏位角即為第一時間車輛偏位角ϕ1,也可稱為第一時間車輛航向角度,在第二時間下,瞬時車輛偏位角即為第二時間車輛偏位角ϕ2,也可稱為第二時間車輛航向角度。As shown in Figures 2 to 4, in this embodiment, the computing module 13 can obtain the instantaneous vehicle deflection angle based on the instantaneous filtered environmental information. For example, at the first time, the instantaneous vehicle deflection angle is Is the vehicle deflection angle ϕ1 at the first time, which can also be referred to as the vehicle heading angle at the first time. At the second time, the instantaneous vehicle deflection angle is the vehicle deflection angle ϕ2 at the second time, which can also be referred to as the second time The heading angle of the vehicle.

承上,在一些實施例中,車輛偏位角是自動駕駛輔助(Advanced Driver Assistance Systems; ADAS)在判斷車輛走行軌跡上的重要依據,一般來說,車輛偏位角是由車輛20上的行車電腦取得,例如上述的方向盤轉角資訊。因此,本實施例之第一時間車輛偏位角ϕ1以及第二時間車輛偏位角ϕ2能夠提供自動駕駛輔助額外的車輛偏位角資訊,以驗證車輛偏位角之正確性,使得自動駕駛輔助的安全性提升,進而能採取不同的駕駛策略與警戒區域的調整。In conclusion, in some embodiments, the vehicle deflection angle is an important basis for automatic driving assistance (ADAS) in judging the trajectory of the vehicle. Generally speaking, the vehicle deflection angle is determined by the driving angle of the vehicle 20. The computer obtains, for example, the above-mentioned steering wheel angle information. Therefore, the vehicle deflection angle ϕ1 at the first time and the vehicle deflection angle ϕ2 at the second time in this embodiment can provide additional vehicle deflection angle information for the automatic driving assistance to verify the correctness of the vehicle deflection angle, and enable the automatic driving assistance The safety of the car can be improved, and different driving strategies and adjustments of the warning zone can be adopted.

如圖2至圖4所示,在本實施例中,通訊裝置14接收外部裝置15之車輛資訊並傳送至運算模組13,運算模組13進一步根據瞬時濾後環境資訊與車輛資訊運算獲得角度誤差值。舉例來說,若外部裝置15為智慧型手機,則以車輛資訊為基準,將車輛資訊之智慧型手機所測得之車輛20的偏位角減掉瞬時車輛偏位角,以獲得角度誤差值。再舉例來說,若外部裝置15為行車電腦,則也以車輛資訊為基準,將車輛資訊之車輛20之方向盤的轉角資訊轉換為車輛20之偏位角並減掉瞬時車輛偏位角,以獲得角度誤差值。藉此,本創作實施例之具自動校正之雷達裝置1,可透過外部裝置15耦接於通訊裝置14(例如為智慧型手機時,即如圖2所示)又或者是外部裝置15耦接於運算模組13(例如為行車電腦時,圖未示),基於外部裝置15之車輛資訊為基準,對雷達10所偵測物體之角度做補償,以加速資料收斂,進而加速雷達裝置1之反應時間,此外,也提升雷達裝置1之精確度。As shown in FIGS. 2 to 4, in this embodiment, the communication device 14 receives the vehicle information from the external device 15 and transmits it to the calculation module 13. The calculation module 13 further calculates the angle based on the instantaneous filtered environmental information and the vehicle information. difference. For example, if the external device 15 is a smart phone, the vehicle information is used as a reference, and the deflection angle of the vehicle 20 measured by the smart phone of the vehicle information is subtracted from the instantaneous vehicle deflection angle to obtain the angle error value . For another example, if the external device 15 is a trip computer, it also uses the vehicle information as a basis to convert the steering wheel angle information of the vehicle 20 in the vehicle information into the deflection angle of the vehicle 20 and subtract the instantaneous vehicle deflection angle to Obtain the angle error value. Thereby, the radar device 1 with automatic calibration of this creative embodiment can be coupled to the communication device 14 through the external device 15 (for example, in the case of a smart phone, as shown in FIG. 2), or the external device 15 can be coupled to the communication device 14 In the computing module 13 (for example, when it is a trip computer, not shown in the figure), based on the vehicle information of the external device 15 as a reference, the angle of the object detected by the radar 10 is compensated to accelerate the data convergence, and then accelerate the radar device 1 The reaction time, in addition, also improves the accuracy of the radar device 1.

再請參閱圖2,由於外部裝置15包括車輛資訊,因此,運算模組13透過車輛資訊可間接得知車輛20是否在偏移或轉彎狀態,若車輛20是在偏移或轉彎狀態則暫時停止校正工作。待由車輛資訊得知車輛20為筆直地行駛狀態時,運算模組13再繼續做校正工作。也就是說,在本實施例中,上述校正期間係由該運算模組13根據該車輛資訊決定。Please refer to FIG. 2 again. Since the external device 15 includes vehicle information, the computing module 13 can indirectly know whether the vehicle 20 is in an offset or turning state through the vehicle information. If the vehicle 20 is in an offset or turning state, it will stop temporarily. Correction work. When it is known from the vehicle information that the vehicle 20 is driving straight, the calculation module 13 continues to perform the calibration work. That is to say, in this embodiment, the aforementioned calibration period is determined by the calculation module 13 according to the vehicle information.

承上,藉此,透過外部裝置15的車輛資訊有助於雷達裝置1切換為偵測車輛20軌跡模式(如同上述創作第一實施例)與雷達校正模式(如同上述創作第二實施例),達到資訊快速收斂,讓雷達10快速進入工作。因此本創作實施例之雷達裝置1能在偵測車輛20軌跡模式與雷達校正模式間作自動切換,使得車輛20之雷達10可以在保持最佳工作狀態的同時,也能提供最正確的車輛動態資訊。In conclusion, by this, the vehicle information through the external device 15 helps the radar device 1 to switch between the mode of detecting the trajectory of the vehicle 20 (as in the first embodiment of the above creation) and the radar correction mode (as in the second embodiment of the above creation), To achieve rapid convergence of information, let Radar 10 enter work quickly. Therefore, the radar device 1 of this creative embodiment can automatically switch between the trajectory detection mode of the vehicle 20 and the radar correction mode, so that the radar 10 of the vehicle 20 can maintain the best working condition while also providing the most accurate vehicle dynamics. News.

圖6為本創作具自動校正之雷達裝置第三實施例之安裝示意圖。如圖6所示,車輛20a為商用車,商用車可為貨車、聯結車、遊覽車或巴士,在本實施例中,四個具自動校正之雷達裝置1分別設置於車輛20a之前側的前保險桿、後側之後保險桿以及各旁側,由於商用車之體型較大,也有內輪差的問題,因此在車輛20a之前側、後側以及旁側均分別設置有具自動校正之雷達裝置1,能夠隨時校正,在標定的警戒區正確地偵測危險物體,進而提升行車安全。Figure 6 is a schematic diagram of the installation of a third embodiment of a radar device with automatic calibration. As shown in Figure 6, the vehicle 20a is a commercial vehicle. The commercial vehicle can be a truck, a connected car, a tourist bus or a bus. The bumper, rear rear bumper and each side, due to the large size of commercial vehicles, also have the problem of inner wheel difference. Therefore, the front, rear and side of the vehicle 20a are respectively equipped with radar devices with automatic correction. 1. It can be calibrated at any time, and dangerous objects can be correctly detected in the calibrated warning zone, thereby improving driving safety.

圖7為本創作具自動校正之雷達裝置第四實施例之安裝示意圖。如圖7所示,車輛20b為二輪乘用車,二輪乘用車可為摩托車、速克達、電動摩托車、電動自行車等,在本實施例中,具自動校正之雷達裝置1可拆卸地設置於車輛20b之後側,由於二輪乘用車在使用上較容易受到碰撞,例如駕駛人因雷達裸露在車外,會有被偷竊之虞,有拆卸的需求;並在尋求停車空間時往往會搬移車輛20b,在搬移的過程中與其他車輛碰撞是難以避免的情況,因此,透過將具自動校正之雷達裝置1可拆卸地設置於車輛20b之後側,駕駛人使用完車輛20b後便可將具自動校正之雷達裝置1拆除並妥善保管,以防止具自動校正之雷達裝置1受到損害。而在要使用時裝設至適當位置後,透過上述的自動校正,即可避免安裝誤差所造成的偵測誤差。Fig. 7 is a schematic diagram of the installation of a fourth embodiment of a radar device with automatic calibration. As shown in Fig. 7, the vehicle 20b is a two-wheeled passenger vehicle, which can be a motorcycle, a scooter, an electric motorcycle, an electric bicycle, etc. In this embodiment, the radar device 1 with automatic correction is detachable The ground is installed on the rear side of the vehicle 20b. Since two-wheeled passenger vehicles are more prone to collisions in use, for example, the driver may be stolen because the radar is exposed outside the vehicle, and there is a need for disassembly; and when looking for a parking space, they will often It is inevitable for the moving vehicle 20b to collide with other vehicles during the moving process. Therefore, by detachably installing the radar device 1 with automatic correction on the rear side of the vehicle 20b, the driver can use the vehicle 20b. The radar device 1 with automatic correction is removed and kept properly to prevent the radar device 1 with automatic correction from being damaged. After the garment is set to the proper position, the detection error caused by the installation error can be avoided through the above-mentioned automatic calibration.

1:雷達裝置 10:雷達 11:資訊過濾模組 12:資訊儲存單元 13:運算模組 14:通訊裝置 15:外部裝置 20,20a,20b,21,22:車輛 30:道路 31:同向車道 32:對向車道 41,44:交通號誌 42:電子收費 43:陸橋 45:路燈 46:分隔島 A:雷達軸 C:車體軸向 t1:第一時間 t2:第二時間 tn:第N時間 V 1,V 2,V D1,V D2,V D1’,V D2’,V n:速度 V 1y:第一時間車輛縱向速度 V 1x:第一時間車輛橫向速度 V 2y:第二時間車輛縱向速度 V 2x:第二時間車輛橫向速度 ϕ1:第一時間車輛偏位角 ϕ2:第二時間車輛偏位角 ψ:角度誤差值 P:發射訊號 R:反射訊號 ΔX1,ΔX2,ΔXn:距離1: Radar device 10: Radar 11: Information filtering module 12: Information storage unit 13: Operation module 14: Communication device 15: External device 20, 20a, 20b, 21, 22: Vehicle 30: Road 31: Same lane 32: Opposite lanes 41, 44: Traffic signs 42: Electronic toll collection 43: Land bridge 45: Street lights 46: Separated island A: Radar axis C: Car body axis t1: First time t2: Second time tn: Nth Time V 1 , V 2 , V D1 , V D2 , V D1 ', V D2 ', V n : Speed V 1y : Vehicle longitudinal velocity at the first time V 1x : Vehicle lateral velocity at the first time V 2y : Vehicle at the second time Longitudinal speed V 2x : Lateral speed of the vehicle at the second time ϕ1: Vehicle deflection angle at the first time ϕ2: Vehicle deflection angle at the second time ψ: Angle error value P: Transmitted signal R: Reflected signal ΔX1, ΔX2, ΔXn: distance

[圖1]係本創作具自動校正之雷達裝置第一實施例於第一時間之應用示意圖。 [圖2]係本創作具自動校正之雷達裝置第一實施例之系統架構圖。 [圖3]係本創作具自動校正之雷達裝置第二實施例於第一時間之應用示意圖。 [圖4]係本創作具自動校正之雷達裝置第二實施例於第二時間之應用示意圖。 [圖5]係本創作具自動校正之雷達裝置第二實施例於第一時間至第N時間之應用示意圖。 [圖6]係本創作具自動校正之雷達裝置第三實施例之安裝示意圖。 [圖7]係本創作具自動校正之雷達裝置第四實施例之安裝示意圖。 [Figure 1] is a schematic diagram of the application of the first embodiment of the radar device with automatic calibration in the first time. [Figure 2] is the system architecture diagram of the first embodiment of the radar device with automatic calibration. [Figure 3] is a schematic diagram of the application of the second embodiment of the radar device with automatic calibration in the first time. [Figure 4] is a schematic diagram of the application of the second embodiment of the radar device with automatic calibration in the second time. [Figure 5] is a schematic diagram of the application of the second embodiment of the radar device with automatic calibration from the first time to the Nth time. [Figure 6] is a schematic diagram of the installation of the third embodiment of the radar device with automatic calibration of the present invention. [Figure 7] is a schematic diagram of the installation of the fourth embodiment of the radar device with automatic calibration of the present invention.

1:雷達裝置 1: radar device

10:雷達 10: radar

11:資訊過濾模組 11: Information filtering module

12:資訊儲存單元 12: Information storage unit

13:運算模組 13: Computing module

14:通訊裝置 14: Communication device

15:外部裝置 15: External device

P:發射訊號 P: transmit signal

R:反射訊號 R: Reflected signal

Claims (11)

一種具自動校正之雷達裝置,可拆卸地組設於一車輛,該具自動校正之雷達裝置包括: 一雷達,具有一初始角度資訊,該雷達持續發射一發射訊號後,接受對應的一反射訊號並獲得多個環境資訊; 一資訊過濾模組,電性連接該雷達,該資訊過濾模組接收該些環境資訊並將該些環境資訊過濾後得到多個濾後環境資訊; 一資訊儲存單元,電性連接該資訊過濾模組,該資訊儲存單元接收並儲存該些濾後環境資訊;以及 一運算模組,電性連接該資訊儲存單元與該雷達,該運算模組接收該些濾後環境資訊後並經由運算獲得一角度誤差值,該運算模組於一校正期間,根據該角度誤差值調整該雷達之該初始角度資訊。 A radar device with automatic correction is detachably assembled in a vehicle. The radar device with automatic correction includes: A radar with initial angle information. After the radar continuously emits a transmission signal, it receives a corresponding reflection signal and obtains a plurality of environmental information; An information filtering module electrically connected to the radar, the information filtering module receives the environmental information and filters the environmental information to obtain a plurality of filtered environmental information; An information storage unit electrically connected to the information filtering module, the information storage unit receiving and storing the filtered environmental information; and An arithmetic module is electrically connected to the information storage unit and the radar. The arithmetic module receives the filtered environmental information and obtains an angular error value through calculations. The arithmetic module is based on the angular error during a calibration period. Value to adjust the initial angle information of the radar. 如請求項1所述之具自動校正之雷達裝置,其中該些濾後環境資訊至少包括一第一時間濾後環境資訊與一第二時間濾後環境資訊,該第一時間濾後環境資訊與該第二時間濾後環境資訊分別經由該運算模組運算後獲得一第一時間車輛速度資訊以及一第二時間車輛速度資訊,該運算模組進一步根據該第一時間車輛速度資訊與該第二時間車輛速度資訊運算獲得該角度誤差值。The radar device with automatic calibration according to claim 1, wherein the filtered environment information includes at least a first time filtered environment information and a second time filtered environment information, the first time filtered environment information and The second time filtered environmental information is calculated by the calculation module to obtain a first time vehicle speed information and a second time vehicle speed information, and the calculation module is further based on the first time vehicle speed information and the second time vehicle speed information. Time vehicle speed information is calculated to obtain the angle error value. 如請求項2所述之具自動校正之雷達裝置,更包括一通訊裝置,該通訊裝置耦接該運算模組與一外部裝置,該外部裝置包括一車輛資訊,其中該校正期間由該運算模組根據該車輛資訊決定。The radar device with automatic calibration as described in claim 2, further comprising a communication device coupled to the computing module and an external device, the external device including a vehicle information, wherein the calibration period is determined by the computing module The group decides based on the vehicle information. 如請求項2所述之具自動校正之雷達裝置,其中該第一時間濾後環境資訊及該第二時間濾後環境資訊分別包括多個靜態環境參考點資訊。The radar device with automatic calibration according to claim 2, wherein the first time filtered environment information and the second time filtered environment information respectively include a plurality of static environment reference point information. 如請求項1所述之具自動校正之雷達裝置,更包括一通訊裝置,該些濾後環境資訊包括一瞬時濾後環境資訊,該通訊裝置耦接該運算模組與一外部裝置,該外部裝置包括一車輛資訊,該通訊裝置接收該車輛資訊並傳送至該運算模組,該運算模組進一步根據該瞬時濾後環境資訊與該車輛資訊運算獲得該角度誤差值。The radar device with automatic calibration as described in claim 1, further comprising a communication device. The filtered environment information includes an instantaneous filtered environment information. The communication device is coupled to the arithmetic module and an external device. The device includes a vehicle information, the communication device receives the vehicle information and transmits it to the calculation module, and the calculation module further calculates the angle error value according to the instant filtered environment information and the vehicle information. 如請求項5所述之具自動校正之雷達裝置,其中該校正期間由該運算模組根據該車輛資訊決定。The radar device with automatic calibration according to claim 5, wherein the calibration period is determined by the calculation module according to the vehicle information. 如請求項5所述之具自動校正之雷達裝置,其中該瞬時濾後環境資訊包括多個靜態環境參考點資訊。The radar device with automatic calibration according to claim 5, wherein the instantaneously filtered environmental information includes a plurality of static environmental reference point information. 如請求項3或5所述之具自動校正之雷達裝置,其中該外部裝置為一陀螺儀、一智慧型手機或一行車電腦。The radar device with automatic calibration according to claim 3 or 5, wherein the external device is a gyroscope, a smart phone or a computer in a row of vehicles. 如請求項1所述之具自動校正之雷達裝置,其中該具自動校正之雷達裝置設置於該車輛之前側。The radar device with automatic correction according to claim 1, wherein the radar device with automatic correction is arranged on the front side of the vehicle. 如請求項1所述之具自動校正之雷達裝置,其中該具自動校正之雷達裝置設置於該車輛之後側。The radar device with automatic correction according to claim 1, wherein the radar device with automatic correction is arranged on the rear side of the vehicle. 如請求項1所述之具自動校正之雷達裝置,其中該具自動校正之雷達裝置設置於該車輛之旁側。The radar device with automatic calibration as described in claim 1, wherein the radar device with automatic calibration is arranged on the side of the vehicle.
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