System and method for efficient planning under uncertainty for autonomous vehicles

    公开(公告)号:US12128924B2

    公开(公告)日:2024-10-29

    申请号:US17933587

    申请日:2022-09-20

    CPC classification number: B60W60/0011 G05D1/0088 G05D1/0212

    Abstract: A method for efficient autonomous driving planning includes receiving a current driving-scene data and a predicted driving-scene data. The current driving-scene data is indicative of a current driving scene around a host vehicle. The predicted driving-scene data is indicative of a predicted driving scene around the host vehicle. The predicted driving scene around the host vehicle is different from the current driving scene around the host vehicle. The method further includes converting the current driving-scene data and the predicted driving-scene data into a first scene-graph and a second scene-graph, respectively. The method further includes determining a plurality of scene change metrics using the first scene-graph and the second scene-graph. The method further includes selecting between a first trajectory planning process and a second trajectory planning process based on the plurality of scene change metrics.

    System and method for generating an occlusion map using crowdsourcing

    公开(公告)号:US11815361B2

    公开(公告)日:2023-11-14

    申请号:US17720466

    申请日:2022-04-14

    CPC classification number: G01C21/3833 G01C21/3815 G01C21/3826

    Abstract: A method for generating an occlusion map using crowdsourcing includes receiving occlusion data from a host vehicle. The occlusion data includes a plurality of virtual detection lines each extending from the sensor and intersecting an off-road area. The method further includes marking all non-occluded points that are located inside the off-road area and that are located within a predetermined distance from each plurality of virtual detection lines. The method further includes determining a non-occluded region inside the off-road area using the non-occluded points that have been previously marked inside the off-road area, wherein the non-occluded region is part of non-occlusion data. The method further includes generating an occlusion map using the non-occlusion data. The method further includes transmitting the occlusion map to the host vehicle. The method can also determine an occlusion caused by an elevation peak.

    ALGORITHM TO GENERATE PLANNING-BASED ATTENTION SIGNALS

    公开(公告)号:US20240101107A1

    公开(公告)日:2024-03-28

    申请号:US17935637

    申请日:2022-09-27

    CPC classification number: B60W30/0956 B60W60/0011 B60W2400/00

    Abstract: A method generating planning-based attention signals includes receiving driving-scene data. The driving-scene data is indicative of a driving scene around a host vehicle. The driving-scene data includes map data and localization data. The driving scene includes a plurality of actors. The method further includes converting the driving-scene data into a scene-graph. The method further includes inputting the scene-graph into a deep neural network (DNN). Further, the method includes determining an attention score for each of the plurality of actors using the DNN and the scene-graph. The attention score of each of the plurality of actors represents a priority given to each of the plurality of actors in the driving scene. The method further includes commanding the host vehicle to autonomously drive according to a trajectory determined by taking into account the attention score of each of the plurality of actors.

    SYSTEM AND METHOD FOR GENERATING AN OCCLUSION MAP USING CROWDSOURCING

    公开(公告)号:US20230332919A1

    公开(公告)日:2023-10-19

    申请号:US17720466

    申请日:2022-04-14

    CPC classification number: G01C21/3833 G01C21/3815 G01C21/3826

    Abstract: A method for generating an occlusion map using crowdsourcing includes receiving occlusion data from a host vehicle. The occlusion data includes a plurality of virtual detection lines each extending from the sensor and intersecting an off-road area. The method further includes marking all non-occluded points that are located inside the off-road area and that are located within a predetermined distance from each plurality of virtual detection lines. The method further includes determining a non-occluded region inside the off-road area using the non-occluded points that have been previously marked inside the off-road area, wherein the non-occluded region is part of non-occlusion data. The method further includes generating an occlusion map using the non-occlusion data. The method further includes transmitting the occlusion map to the host vehicle. The method can also determine an occlusion caused by an elevation peak.

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