Liu et al., 2024 - Google Patents
Research on Automatic Driving Hazard Cutting Scene Based on Real Driving DataLiu et al., 2024
- Document ID
- 1735266215420629912
- Author
- Liu S
- Wei B
- Zhao P
- Hu X
- Publication year
- Publication venue
- 2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE)
External Links
Snippet
With the continuous development of autonomous driving technology, it has become increasingly important to study the response capabilities of autonomous driving systems in dangerous scenarios. As a typical scene in autonomous driving, the cut-in scenario requires …
- 238000011160 research 0 title abstract description 17
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/80—Technologies aiming to reduce green house gasses emissions common to all road transportation technologies
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP3533681B1 (en) | Method for detecting safety of driving behavior, apparatus and storage medium | |
Goyani et al. | Investigation of traffic conflicts at unsignalized intersection for reckoning crash probability under mixed traffic conditions | |
CN113487874B (en) | System and method for collecting, identifying and classifying following behavior scene data | |
CN108765235A (en) | Automatic driving vehicle test scene construction method and test method based on the destructing of traffic accident case | |
CN108230676A (en) | A kind of intersection pedestrian's street crossing methods of risk assessment based on track data | |
CN110675656A (en) | Intelligent vehicle lane change early warning method based on instantaneous risk identification | |
Pi et al. | Automotive platoon energy-saving: A review | |
CN105825669A (en) | System and method for identifying urban expressway traffic bottlenecks | |
WO2022213542A1 (en) | Method and system for clearing information-controlled intersection on basis of lidar and trajectory prediction | |
Hu et al. | Mining and comparative analysis of typical pre-crash scenarios from IGLAD | |
CN114267173B (en) | Multisource data fusion method, device and equipment for space-time characteristics of expressway | |
CN113554877A (en) | Long uphill traffic flow stability improving method based on variable speed limit | |
CN115081508A (en) | Traffic running risk parallel simulation system based on traffic digital twins | |
Li et al. | The role of traffic conflicts in roundabout safety evaluation: A review | |
Liu et al. | Research on Automatic Driving Hazard Cutting Scene Based on Real Driving Data | |
CN114692713A (en) | Driving behavior evaluation method and device for automatic driving vehicle | |
CN112686127A (en) | GM-HMM-based driver overtaking intention identification method | |
CN113128847A (en) | Entrance ramp real-time risk early warning system and method based on laser radar | |
CN114814825B (en) | Vehicle track sensing and state extraction method based on radar and video fusion | |
Xing et al. | Research on gender difference of car following behavior based on natural driving data | |
Zhang et al. | Virtual validation method for automated driving vehicles based on traffic accident | |
CN118097978B (en) | Intelligent traffic information acquisition system and method | |
CN117238131B (en) | Traffic flow characteristic analysis method in Internet of vehicles environment | |
CN114354219B (en) | Test method and device for automatic driving vehicle | |
CN112927514B (en) | Motor vehicle yellow light running behavior prediction method and system based on 3D laser radar |