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CN103809598B - A kind of rotor wing unmanned aerial vehicles based on three layers of isosceles triangle polychrome landing ramp autonomous landing system - Google Patents

A kind of rotor wing unmanned aerial vehicles based on three layers of isosceles triangle polychrome landing ramp autonomous landing system Download PDF

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CN103809598B
CN103809598B CN201410089860.7A CN201410089860A CN103809598B CN 103809598 B CN103809598 B CN 103809598B CN 201410089860 A CN201410089860 A CN 201410089860A CN 103809598 B CN103809598 B CN 103809598B
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unmanned aerial
wing unmanned
rotor wing
aerial vehicle
landing
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CN103809598A (en
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雷旭升
陆培
邹莹
郭克信
张霄
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Beihang University
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Abstract

A kind of rotor wing unmanned aerial vehicles based on three layers of isosceles triangle polychrome landing ramp autonomous landing system, including rotor wing unmanned aerial vehicle (SRUA), airborne sensor, data processing unit, flight control system, airborne photographic head, landing ramp, ground, wireless image transmission module, wireless data transmission module, ground monitoring station;Airborne sensor includes Inertial Measurement Unit (IMU), GPS, barometer, ultrasonic;Data processing unit merges for the filtering of sensing data;Flight control system completes path planning, it is achieved the high accuracy of rotor wing unmanned aerial vehicle controls;Airborne photographic head carries out the collection of landing ramp image;Landing ramp, ground is red isosceles triangle, blue isosceles triangle, the landing ramp of green isosceles triangle nesting composition;Wireless image transmission module realizes image transmission earthward;Wireless data transmission module realizes rotor wing unmanned aerial vehicle and ground data and the communication of instruction;Ground monitoring station is made up of VPU and display terminal;This invention ensures that the reliability of rotor wing unmanned aerial vehicle navigation information, improve the control accuracy of the autonomous landing of rotor wing unmanned aerial vehicle, and low cost, application are conveniently, have important construction value.

Description

A kind of rotor wing unmanned aerial vehicles based on three layers of isosceles triangle polychrome landing ramp autonomous landing system
Technical field
The present invention relates to the rotor wing unmanned aerial vehicle autonomous landing system of a kind of vision navigation system, can be used for rotor Unmanned plane independent navigation and control, be particularly well-suited to rotor wing unmanned aerial vehicle landing place fix, navigation accuracy want Ask higher military and civilian field.
Background technology
Rotor wing unmanned aerial vehicle has the advantages such as size little, low cost, maneuverability, it is possible to realize taking off vertically The functions such as landing, hovering, super low altitude flight, in terms of military, civilian and scientific research, application prospect is the widest General.
Rotor wing unmanned aerial vehicle takes off and the research of airmanship is the most deep, and yields good result. But the high accuracy navigation control method of landing phases is still the focus of research at present, domestic also in playing step Section.Accurate elevation information is the basis realizing the autonomous landing of rotor wing unmanned aerial vehicle safety and stability, to rotor without Man-machine performance has material impact.Owing to rotor wing unmanned aerial vehicle Airborne Inertial element height direction is unstable, Limited by its size, weight, cost etc., generally by barometertic altimeter, output positioning height complete Ball alignment system (GPS), ultrasonic survey high module equal-volume device little and low in energy consumption obtains accurately Elevation information.Barometertic altimeter carries out corresponding height based on atmospheric pressure with the rule of height change and solves Calculating, its simple in construction and capacity of will are strong, but during rotor wing unmanned aerial vehicle landing, rotor causes air-flow Change, therefore accuracy of measurement is difficult to ensure that.Although gps signal has positional accuracy height, error Will not the advantage such as accumulation in time, but gps signal renewal frequency is slow, and is easily subject to external interference, The especially working environment of many buildings in city, it is easier to eclipse phenomena occurs, thus affects measurement Precision.And ultrasonic can only within 4.2 meters altitude range provide accurate metrical information.
Develop the single camera vision system of comparative maturity at present, it is only necessary to a photographic head and a visual processes Unit, arrives at landing point by detection landing mark vector aircraft.Existing landing ramp mark is mostly shape The polygon combination of shape rule, H type, L-type, T-shaped or circular, its common ground is to be designed to contrast Distinct black and white, in order to can terrestrial reference feature extraction out in the binary conversion treatment of image.Light Line, environment and photographic head quality etc. all can be corresponding in the picture to black and white mark the gray scale of pixel Value causes change in various degree so that black part gray value reduces, and white portion gray value raises, The two difference reduces, and therefore, how landing ramp image to be carried out suitable Threshold segmentation process, to extract Landing ramp characteristic information becomes extremely important and algorithm realization is more complicated.It addition, by visual beacon size Limit, as too remote in rotor wing unmanned aerial vehicle distance landing ramp, landing ramp information fuzzy can be made to increase measurement by mistake Difference, the most closely can cause part landing ramp pattern-information to run off camera fields of view and cause information dropout, therefore regard The scope of heading of vision system has certain restriction.
Summary of the invention
The technology of the present invention solves problem: overcome the deficiency of existing vision guided navigation technology, by means of three layers Isosceles triangle polychrome landing ramp, it is provided that a kind of precision is high, it is wide to measure scope, strong robustness, economy are reliable, The monocular vision auxiliary being easily achieved surveys high rotor wing unmanned aerial vehicle autonomous landing system.
The technical solution of the present invention is: a kind of rotors based on three layers of isosceles triangle polychrome landing ramp are unmanned Machine autonomous landing system, including rotor wing unmanned aerial vehicle (1), airborne sensor (2), data processing unit (3), flight control system (4), airborne photographic head (5), landing ramp, ground (6), wireless Image transmission module (7), wireless data transfer module (8) and ground monitoring station (9);Airborne biography It is unmanned that sensor (2), data processing unit (3), flight control system (4) are loaded in rotor respectively On machine (1), ground monitoring station (9) are by VPU (10) and display terminal (11) group Become, wherein:
Rotor wing unmanned aerial vehicle (1) is that airborne sensor (2), data processing unit (3) and flight control The carrier of system (4), it is rotor wing unmanned aerial vehicle autonomous landing systematic research main body;
Airborne sensor (2) is that Inertial Measurement Unit (IMU), global positioning system (GPS) connect Receipts machine, magnetic compass, barometertic altimeter, ultrasonic;
The hardware core of data processing unit (3) is dsp processor, first the measurement to each sensor Information carries out unruly-value rejecting, coordinate unification pretreatment, completes multiple measurement secondly based on Kalman filtering and believes The fusion of breath, with to navigation information;
Flight control system (4) completes path rule according to navigation information and the mission requirements of rotor wing unmanned aerial vehicle Drawing, method based on adaptive neural network completes control of landing;
Airborne photographic head (5) is fixed on rotor wing unmanned aerial vehicle (1), and camera lens is vertically downward, rotor In unmanned plane descent, the image of landing ramp, photographic head captured in real time ground (6), and by wireless Image transmission module (7) is transferred to ground monitoring station (9);
Landing ramp, ground (6) is as the visual beacon of rotor wing unmanned aerial vehicle, by red isosceles triangle, blue product Font, the landing ramp of green isosceles triangle nesting composition;
Wireless image transmission module (7) is made up of image transmitting terminal and receiving terminal, is both needed to 12V direct current and supplies Electricity, carrier frequency is 1.2GH;Transmitting terminal is fixed on rotor wing unmanned aerial vehicle (1), and receiving terminal is by regarding Frequently capture card is connected with ground monitoring station;
Wireless data transfer module (8) is made up of with data receiver data transmitting terminal equally, is both needed to 5V Direct current supply, carrier frequency is 900MHz, and baud rate is 115200bps;
Ground monitoring station (9) mainly completes to monitor and control task, whole by VPU and display End composition;In order to alleviate airborne load, rotor wing unmanned aerial vehicle autonomous landing system passes through wireless image transmission mould The landing ramp image that airborne photographic head (5) captures is sent to ground monitoring station (9) by block (7), and Carried out image calculation by the VPU at ground monitoring station, obtain vision guided navigation information, then through nothing Line data transmission module (8) is sent to rotor wing unmanned aerial vehicle autonomous landing system;Meanwhile, ground display is eventually End can be real-time display the position of rotor wing unmanned aerial vehicle, attitude, velocity information, to facilitate ground handling people Member sends control instruction according to mission requirements to rotor wing unmanned aerial vehicle.
The principle of the present invention is: landing ramp is placed on the pre-landing point of rotor wing unmanned aerial vehicle, to its size and feature Clicking on rower fixed, typing VPU carries out visual system initialization.Rotor wing unmanned aerial vehicle descent Middle captured in real time landing ramp image, and carry out the Threshold segmentation of image to separate product word based on color characteristic Shape terrestrial reference, and then not bending moment algorithm based on the isosceles triangle terrestrial reference demarcated in advance carries out secondary judgement, passes through After twice filtering based on CF is marked in image definitely, extract the terrestrial reference feature letter in image Breath, can provide current rotor wing unmanned aerial vehicle relative to landing ramp in conjunction with the individual features information in world coordinate system Highly.Vision measures height and carries out adaptive weighted with the measurement information of other height sensors in the same time Average filter, obtains the high-precision navigation information of rotor wing unmanned aerial vehicle.Reliably elevation information send into rotor without Man-machine autonomous landing system, to guide the landing of rotor wing unmanned aerial vehicle safety and stability.
Present invention advantage compared with prior art is:
(1) present invention selects the filtering method of self-adaptive weighted average to carry out the measurement of each height sensor Information fusion, according to the reliability of each height sensor, adjusts the weights of each sensor at any time, it is ensured that Optimal syncretizing effect.Self-adaptive weighted average not only ensure that rotor wing unmanned aerial vehicle autonomous landing system is overall Accuracy in measurement, simultaneously lose star at GPS, landing ramp is blocked in the case of causing visual information to lose efficacy, By its weights are independently updated, still ensure that rotor wing unmanned aerial vehicle autonomous landing system globe area height Reliability.
(2) present invention utilizes color body strikingly color feature to reduce environmental disturbances, simplify figure As Processing Algorithm;Meanwhile, in order to avoid redness that may be present in natural environment, blueness, green is homochromy Information is disturbed, and visual beacon is designed as the isosceles triangle that shape is special;The descending redness of size, blueness, The nested combination of green isosceles triangle pattern so that all have size in the image information of different height section captures Suitably isosceles triangle terrestrial reference, it is ensured that the precision of omnidistance vision guided navigation.Landing ramp is easily manufactured, simple warp Ji, volume is little, light weight, it is simple to carry.
Accompanying drawing explanation
Fig. 1 is the structure composition frame chart of the present invention;
Fig. 2 is the vision algorithm design flow diagram of the present invention;
Fig. 3 is the self-adaptive weighted average filtering figure of the present invention;
Fig. 4 is that information of the present invention transmits schematic diagram;
Detailed description of the invention
As it is shown in figure 1, the invention mainly comprises rotor wing unmanned aerial vehicle (1), airborne sensor (2), number According to processing unit (3), flight control system (4), airborne photographic head (5), landing ramp, ground (6), Wireless image transmission module (7), wireless data transfer module (8) and ground monitoring station (9);Machine Set sensor (2), data processing unit (3), flight control system (4) are loaded in rotor respectively On unmanned plane (1), ground monitoring station (9) are by VPU (10) and display terminal (11) Composition.
Rotor wing unmanned aerial vehicle (1) is that airborne sensor (2), data processing unit (3) and flight control The carrier of system (4), it is rotor wing unmanned aerial vehicle autonomous landing systematic research main body;
Airborne sensor (2) is that Inertial Measurement Unit (IMU), global positioning system (GPS) connect Receipts machine, magnetic compass, barometertic altimeter, ultrasonic;
The hardware core of data processing unit (3) is dsp processor, first the measurement to each sensor Information carries out unruly-value rejecting, coordinate unification pretreatment, completes multiple measurement secondly based on Kalman filtering and believes The fusion of breath, with to navigation information;In terms of elevation information, rotor wing unmanned aerial vehicle autonomous landing system according to The characteristic of height sensor, devises elevation information Fusion Module based on self-adaptive weighted average, obtains Elevation information;
Flight control system (4) completes path rule according to navigation information and the mission requirements of rotor wing unmanned aerial vehicle Drawing, method based on adaptive neural network completes control of landing;
Airborne photographic head (5) is fixed on rotor wing unmanned aerial vehicle (1), and camera lens is vertically downward, rotor In unmanned plane descent, the image of landing ramp, photographic head captured in real time ground (6), and by wireless Image transmission module (7) is transferred to ground monitoring station (9);
Landing ramp, ground (6) is as the visual beacon of rotor wing unmanned aerial vehicle, by red isosceles triangle, blue product Font, the landing ramp of green isosceles triangle nesting composition;
Wireless image transmission module (7) is made up of image transmitting terminal and receiving terminal, is both needed to 12V direct current and supplies Electricity, carrier frequency is 1.2GHz;Transmitting terminal is fixed on rotor wing unmanned aerial vehicle (1), and receiving terminal is by regarding Frequently capture card is connected with ground monitoring station;
Wireless data transfer module (8) is made up of with data receiver data transmitting terminal equally, is both needed to 5V Direct current supply, carrier frequency is 900MHz, and baud rate is 115200bps;
Ground monitoring station (9) mainly completes to monitor and control task, whole by VPU and display End composition;In order to alleviate airborne load, rotor wing unmanned aerial vehicle autonomous landing system passes through wireless image transmission mould The landing ramp image that airborne photographic head (5) captures is sent to ground monitoring station (9) by block (7), and Carried out image calculation by the VPU at ground monitoring station, obtain vision guided navigation information, then through nothing Line data transmission module (8) is sent to rotor wing unmanned aerial vehicle autonomous landing system;Meanwhile, ground display is eventually End can be real-time display the position of rotor wing unmanned aerial vehicle, attitude, velocity information, to facilitate ground handling people Member sends control instruction according to mission requirements to rotor wing unmanned aerial vehicle.
As in figure 2 it is shown, be the vision algorithm design flow diagram of the present invention.Rotor wing unmanned aerial vehicle carries out work of landing Before work, ground monitoring station is carried out at vision according to trichroism isosceles triangle polychrome landing ramp size and camera internal reference Reason system initialization.In figure, HpRepresenting the height in a moment on rotor wing unmanned aerial vehicle, rotor wing unmanned aerial vehicle is certainly For rotor wing unmanned aerial vehicle level point height during main landing system start-up, to one rough estimate value, landing During be the height after Multi-sensor Fusion.After visual system captures real-time landmark image, according to HpValue judges to extract the terrestrial reference pattern of which kind of color, and then selects the image binaryzation method of respective color. Rotor wing unmanned aerial vehicle is when more than 20 meters high-altitude landing, and visual system selects maximum red isosceles triangle conduct Visual beacon, works as HpLess than HRBTime, it is switched to blue logo, at i.e. H near the groundpLess than HBGTime, Then it is switched to the green mark of minimum.Wherein, HRBAnd HBGSize by landing ramp three kinds of isosceles triangles The size of pattern and the focal length of photographic head are determined, in the present invention value of the two be respectively 700cm and 180cm.Utilize the data of the landmark image after bending moment algorithm does not calculates binaryzation, it may be judged whether demarcating Not bending moment in the range of, after being marked in image definitely, carry out terrestrial reference feature extraction, and select corresponding face The height calculation method of color, obtains eye level information, through the revised visual information of attitude angle with airborne Height sensor carries out adaptive-filtering fusion, obtains present fusion height value H.
As it is shown on figure 3, be the self-adaptive weighted average filtering mould for height measurement information of the present invention Block.First, the elevation information measured by each sensor is carried out pretreatment, as coordinate unit is same, flat Sliding filtering is to reject incidental error, then with 4.2 meters for high/low space division boundary line, selects to regard in the high-altitude stage Feel, barometertic altimeter, GPS information carry out self-adaptive weighted average filtering, and the low latitude stage is then above-mentioned Add the high module of ultrasonic survey on the basis of three kinds of height sensors, carry out airborne photographic head, pressure altitude Meter, self-adaptive weighted average filtering ultrasonic, GPS sensor are merged.In Fig. 3, j express time point, H1(j), H2(j), H3(j), H4(j) be respectively the vision corresponding to jth time point, barometer, ultrasonic, The measured value of GPS, w1(j), w2(j), w3(j), w4J () is these four corresponding weights of sensor, then may be used Obtaining the fusion in j moment is highly:
H ( j ) = Σ i = 1 4 w i . ( j ) H i ( j )
In the low latitude stage, according to the measurement characteristics of four sensors, its weight initialization is as follows:
w 1 ( j ) w 2 ( j ) w 3 ( j ) w 4 ( j ) = 60 % 25 % 60 % 15 %
In descent, if visual pattern is not detected by landing ramp by not bending moment algorithm in resolving, Then visual information is invalid, by w1J () is set to 0, otherwise, and w1J () is still 25%.If GPS The quantity of the star received is less than 4, then GPS information exists bigger error, by w4J () is set to 0, Otherwise, w4J () is still 5%.Each moment point is both needed to be updated four weights by following rule:
w 1 ( j ) w 2 ( j ) w 3 ( j ) w 4 ( j ) = w 1 ( j ) / ( w 1 ( j ) + w 2 ( j ) + w 3 ( j ) + w 4 ( j ) ) w 2 ( j ) / ( w 1 ( j ) + w 2 ( j ) + w 3 ( j ) + w 4 ( j ) ) w 3 ( j ) / ( w 1 ( j ) + w 2 ( j ) + w 3 ( j ) + w 4 ( j ) ) w 4 ( j ) / ( w 1 ( j ) + w 2 ( j ) + w 3 ( j ) + w 4 ( j ) )
In the high-altitude stage, ultrasonic metrical information is unavailable, according to the measurement characteristics of other three sensors, Its weight initialization is as follows:
w 1 ( j ) w 2 ( j ) w 3 ( j ) w 4 ( j ) = 60 % 25 % 0 % 15 %
In descent, if visual pattern is not detected by landing ramp by not bending moment algorithm in resolving, Then visual information is invalid, by w1J () is set to 0, otherwise, and w1J () is still 60%.If GPS The quantity of the star received is less than 4, then GPS information exists bigger error, by w4J () is set to 0, Otherwise, w4J () is still 15%.Each moment point is both needed to be updated four weights by following rule:
w 1 ( j ) w 2 ( j ) w 3 ( j ) w 4 ( j ) = w 1 ( j ) / ( w 1 ( j ) + w 2 ( j ) + w 3 ( j ) + w 4 ( j ) ) w 2 ( j ) / ( w 1 ( j ) + w 2 ( j ) + w 3 ( j ) + w 4 ( j ) ) w 3 ( j ) / ( w 1 ( j ) + w 2 ( j ) + w 3 ( j ) + w 4 ( j ) ) w 4 ( j ) / ( w 1 ( j ) + w 2 ( j ) + w 3 ( j ) + w 4 ( j ) )
As shown in Figure 4, for information transmission schematic diagram in rotor wing unmanned aerial vehicle descent.Rotor wing unmanned aerial vehicle drops Captured in real time landing ramp image during falling, and be sent to by the wireless image transmission transmitting terminal of 1.2GHZ Terrestrial wireless image transmitting receiving terminal, and it is sent to ground-based computer visual processes list by video frequency collection card Unit.The elevation information that VPU output vision resolves, and through the modem of 900MHZ It is sent to rotor wing unmanned aerial vehicle autonomous landing system, believes with from other height sensors phase height the most in the same time Breath be filtered merge, and will merge after elevation information feed back to flight control system, to guide rotor The safe independent landing of unmanned plane.Meanwhile, ground monitoring station can realize rotation by wireless system for transmitting data The control command of wing unmanned plane during flying pattern.

Claims (3)

1. rotor wing unmanned aerial vehicles based on a three layers of isosceles triangle polychrome landing ramp autonomous landing system, it is characterised in that including: rotor wing unmanned aerial vehicle (1), airborne sensor (2), data processing unit (3), flight control system (4), airborne photographic head (5), landing ramp, ground (6), wireless image transmission module (7), wireless data transfer module (8) and ground monitoring station (9);Airborne sensor (2), data processing unit (3), flight control system (4) are loaded on rotor wing unmanned aerial vehicle (1) respectively, ground monitoring station (9) is made up of, wherein VPU (10) and display terminal (11):
Rotor wing unmanned aerial vehicle (1) is airborne sensor (2), data processing unit (3) and the carrier of flight control system (4), and it is rotor wing unmanned aerial vehicle autonomous landing systematic research object;
Airborne sensor (2) is Inertial Measurement Unit (IMU), global positioning system (GPS) receiver, magnetic compass, barometertic altimeter, ultrasonic;
The hardware core of data processing unit (3) is dsp processor, and the first measurement information to each sensor carries out unruly-value rejecting, coordinate and unit and unifies pretreatment, completes the fusion of multiple measurement information secondly based on Kalman filtering, to provide navigation information;
Flight control system (4) completes path planning according to navigation information and the mission requirements of rotor wing unmanned aerial vehicle, and method based on adaptive neural network completes control of landing;
Airborne photographic head (5) is fixed on rotor wing unmanned aerial vehicle (1), and camera lens is vertically downward, in rotor wing unmanned aerial vehicle descent, the image of landing ramp, photographic head captured in real time ground (6), and it is transferred to ground monitoring station (9) by wireless image transmission module (7);
Landing ramp, ground (6) is as the visual beacon of rotor wing unmanned aerial vehicle, the landing ramp being made up of red isosceles triangle, blue isosceles triangle, green isosceles triangle nesting;
Wireless image transmission module (7) is made up of image transmitting terminal and receiving terminal, is both needed to 12V direct current supply, and carrier frequency is 1.2GHz;Transmitting terminal is fixed on rotor wing unmanned aerial vehicle (1), and receiving terminal is connected with ground monitoring station by video frequency collection card;
Wireless data transfer module (8) is made up of with data receiver data transmitting terminal equally, is both needed to 5V direct current supply, and carrier frequency is 900MHz, and baud rate is 115200bps;
Ground monitoring station (9) mainly completes to monitor and control task, is made up of VPU and display terminal;In order to alleviate airborne load, the landing ramp image that airborne photographic head (5) captures is sent to ground monitoring station (9) by wireless image transmission module (7) by rotor wing unmanned aerial vehicle autonomous landing system, and carried out image calculation by the VPU at ground monitoring station, obtain vision guided navigation information, then be sent to rotor wing unmanned aerial vehicle autonomous landing system through wireless data transfer module (8);Meanwhile, the display position of rotor wing unmanned aerial vehicle, attitude, the velocity information that ground display terminal can be real-time, to facilitate surface personnel to send control instruction according to mission requirements to rotor wing unmanned aerial vehicle.
A kind of rotor wing unmanned aerial vehicles based on three layers of isosceles triangle polychrome landing ramp the most according to claim 1 autonomous landing system, it is characterized in that: described data processing unit (3) is on the basis of original much information based on Kalman filtering merges, the airborne photographic head that used for rotor wing unmanned aerial vehicle autonomous landing system, barometertic altimeter, ultrasonic, GPS, devise elevation information Fusion Module based on self-adaptive weighted average, it is achieved autonomous landing.
A kind of rotor wing unmanned aerial vehicles based on three layers of isosceles triangle polychrome landing ramp the most according to claim 1 autonomous landing system, it is characterised in that: described landing ramp, ground (6) is as visual beacon;Rotor wing unmanned aerial vehicle is operated in the place that half-tone information is abundant more, and in order to prevent surrounding from introducing noise jamming, the visual beacon in rotor wing unmanned aerial vehicle autonomous landing system is designed as the pure colour of signature;In order to make a distinction with redness that may be present, blueness, green information, again visual beacon is designed as the isosceles triangle of regular shape, use not bending moment algorithm that it is recognized for facilitate;Simultaneously in order to meet the demand of far and near distance high-precision vision navigation, the nested isosceles triangle pattern of final choice three layers is as landing mark, rotor wing unmanned aerial vehicle is when more than 20 meters high-altitude landing, vision resolving is carried out by extracting outer layer large scale redness isosceles triangle characteristic information, when under height in 700cm, carry out vision resolving by extracting middle level blueness isosceles triangle characteristic information, near the ground i.e. height is less than 180cm time, then extract internal layer small size green isosceles triangle characteristic information and carry out vision resolving.
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