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1. 发明公开

EP4372715A1 VEHICLE COLLISION THREAT ASSESSMENT 审中-公开转让
公开(公告)号：EP4372715A1
公开(公告)日：2024-05-22
申请号：EP22208086.3
申请日：2022-11-17
申请人： Aptiv Technologies Limited
发明人： SCHAEFER, Maximilian , ZHAO, Kun , BUEHREN, Markus
IPC分类号： G08G1/0962 , B60W30/09 , B60W30/095 , B60W30/14 , B60W60/00 , G08G1/16
CPC分类号： G08G1/166 , G08G1/167 , G08G1/164 , G08G1/09626 , B60W30/0953 , B60W30/0956 , B60W30/09 , B60W30/14 , B60W60/00272 , B60W60/00276
摘要： The present invention relates to a computer implemented method for collision threat assessment of a vehicle, comprising: obtaining (no) context information for the surrounding of the vehicle comprising information about at least one road user; determining (120) ego occupancy information for a plurality of possible future locations of the vehicle at a plurality of future points in time based on the context information; determining (130) road user occupancy information for a plurality of possible future locations of the at least one road user at the plurality of future points in time based on the context information;
fusing (140) the ego occupancy information and the road user occupancy information to obtain fused occupancy information at each future point in time; and determining (150) a collision threat value based on the fused occupancy information. The invention also relates to a corresponding computer system, vehicle and computer program.

2. 发明公开

EP4137845A1 METHODS AND SYSTEMS FOR PREDICTING PROPERTIES OF A PLURALITY OF OBJECTS IN A VICINITY OF A VEHICLE 审中-实审转让
公开(公告)号：EP4137845A1
公开(公告)日：2023-02-22
申请号：EP21191442.9
申请日：2021-08-16
申请人： Aptiv Technologies Limited
发明人： KURBIEL, Thomas , SCHAEFER, Maximilian , ZHAO, Kun , BUEHREN, Markus
IPC分类号： G01S13/72 , G01S13/931 , G01S7/48 , G01S17/931 , G05D1/02 , G06N3/04 , G06V10/82 , G06V20/58
摘要： A computer implemented method for predicting properties of a plurality of objects in a vicinity of a vehicle comprises the following steps carried out by computer hardware components: determining a grid map representation of road users perception data, the road users perception data comprising tracked perception results and/ or untracked sensor intermediate detections; determining a grid map representation of static environment data based on data obtained from a perception system and/or a pre-determined map; and determining the properties of the plurality of objects based on the grid map representation of road users perception data and the grid map representation of static environment data.

3. 发明公开

EP4219259A1 METHOD, COMPUTER SYSTEM AND NON-TRANSITORY COMPUTER READABLE MEDIUM FOR TARGET SELECTION IN THE VICINITY OF A VEHICLE 有权转让
公开(公告)号：EP4219259A1
公开(公告)日：2023-08-02
申请号：EP23151911.7
申请日：2023-01-17
申请人： Aptiv Technologies Limited
发明人： ZHAO, Kun , SCHAEFER, Maximilian , BUEHREN, Markus
IPC分类号： B60W30/095 , B60W60/00
摘要： Computer implemented method for target selection in the vicinity of a vehicle, comprising obtaining vehicle state information, the vehicle state information comprising dynamic information regarding the vehicle, predicting a first trajectory of the vehicle based on the vehicle state information for a first prediction time horizon, detecting road users in the vicinity of the vehicle, determining state information from the detected road users, the state information comprising dynamic information regarding the road users, predicting a second trajectory of the vehicle based on the vehicle state information and the road users state information for the first prediction time horizon and performing a first similarity comparison of the first predicted trajectory and the second predicted trajectory of the vehicle to determine whether the detected road users are a potential target of the vehicle for the first prediction time horizon.

4. 发明公开

EP4219258A1 METHOD, COMPUTER SYSTEM AND NON-TRANSITORY COMPUTER READABLE MEDIUM FOR TARGET SELECTION IN THE VICINTY OF A VEHICLE 无效
公开(公告)号：EP4219258A1
公开(公告)日：2023-08-02
申请号：EP22153827.5
申请日：2022-01-28
申请人： Aptiv Technologies Limited
发明人： ZHAO, Kun , SCHAEFER, Maximilian , BUEHREN, Markus
IPC分类号： B60W30/095 , B60W60/00
摘要： The invention relates to a computer implemented method for target selection in the vicinity of a vehicle. In step 210, the method 200 obtains vehicle state information. In step 220 then a machine-learning algorithm is performed to predict a first trajectory of the vehicle based on the vehicle state information for a first prediction time horizon. The prediction is put out in step 230. In step 240, state information from road users different from the vehicle are obtained. In step 250 a machine-learning algorithm is performed on the road users state information and the vehicle state information to predict a second trajectory of vehicle for the first prediction time horizon. The prediction is put out in step 260. Then, in step 265, a first similarity comparison is performed based on the first predicted trajectory of the vehicle as put out in step 230 and the second predicted trajectory of the vehicle as put out in step 260 to determine whether the road users are a potential target of the vehicle for the first prediction time horizon. In step 270, state information from only one road user, i.e. a first road user, is used as input together with the vehicle state information, on which the machine -learning algorithm is performed in step 280 to predict a third trajectory of the vehicle for the first prediction time horizon, which is put out at 290. Then, in step 295, a second similarity comparison is performed based on the second predicted trajectory of the vehicle as put out in step 260 and the third predicted trajectory of the vehicle as put out in step 290 to determine whether the one road user is a potential target of the vehicle for the first prediction time horizon. This is done based on a relevance threshold previously determined based on first similarity comparison of step 265. These last four steps 270, 280, 290 and 295 may then be repeated based on state information of another one of the road users, i.e. a second, a third and/or a fourth road user together with the vehicle state information to perform a third and/or a fourth similarity comparison.

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