LANE PLANNING ARCHITECTURE FOR AUTONOMOUS MACHINE SYSTEMS AND APPLICATIONS

    公开(公告)号:US20230341234A1

    公开(公告)日:2023-10-26

    申请号:US17725175

    申请日:2022-04-20

    IPC分类号: G01C21/36 G01C21/34 B60W60/00

    摘要: In various examples, a lane planner for generating lane planner output data based on a state and probabilistic action space is provided. A driving system—that operates based on a hierarchical drive planning framework—includes the lane planner and other planning and control components. The lane planner processes lane planner input data (e.g., large lane graph, source node, target node) to generate lane planner output data (e.g., expected time rewards). The driving system can also include a route planner (e.g., a first planning layer) that operates to provide the lane planner input data to the lane planner. The lane planner operates as second planning layer that processes the lane planner input data based at least in part on a state and probabilistic action space of the large lane graph and calculates a time cost associated with navigating from a source node to a target node in the large lane graph.

    SAFETY PROCEDURE ANALYSIS FOR OBSTACLE AVOIDANCE IN AUTONOMOUS VEHICLES

    公开(公告)号:US20210325892A1

    公开(公告)日:2021-10-21

    申请号:US17356337

    申请日:2021-06-23

    摘要: In various examples, a current claimed set of points representative of a volume in an environment occupied by a vehicle at a time may be determined. A vehicle-occupied trajectory and at least one object-occupied trajectory may be generated at the time. An intersection between the vehicle-occupied trajectory and an object-occupied trajectory may be determined based at least in part on comparing the vehicle-occupied trajectory to the object-occupied trajectory. Based on the intersection, the vehicle may then execute the first safety procedure or an alternative procedure that, when implemented by the vehicle when the object implements the second safety procedure, is determined to have a lesser likelihood of incurring a collision between the vehicle and the object than the first safety procedure.

    SAFETY PROCEDURE ANALYSIS FOR OBSTACLE AVOIDANCE IN AUTONOMOUS VEHICLES

    公开(公告)号:US20230124848A1

    公开(公告)日:2023-04-20

    申请号:US18083159

    申请日:2022-12-16

    摘要: In various examples, a current claimed set of points representative of a volume in an environment occupied by a vehicle at a time may be determined. A vehicle-occupied trajectory and at least one object-occupied trajectory may be generated at the time. An intersection between the vehicle-occupied trajectory and an object-occupied trajectory may be determined based at least in part on comparing the vehicle-occupied trajectory to the object-occupied trajectory. Based on the intersection, the vehicle may then execute the first safety procedure or an alternative procedure that, when implemented by the vehicle when the object implements the second safety procedure, is determined to have a lesser likelihood of incurring a collision between the vehicle and the object than the first safety procedure.

    Safety procedure analysis for obstacle avoidance in autonomous vehicles

    公开(公告)号:US11079764B2

    公开(公告)日:2021-08-03

    申请号:US16265780

    申请日:2019-02-01

    摘要: In various examples, a current claimed set of points representative of a volume in an environment occupied by a vehicle at a time may be determined. A vehicle-occupied trajectory and at least one object-occupied trajectory may be generated at the time. An intersection between the vehicle-occupied trajectory and an object-occupied trajectory may be determined based at least in part on comparing the vehicle-occupied trajectory to the object-occupied trajectory. Based on the intersection, the vehicle may then execute the first safety procedure or an alternative procedure that, when implemented by the vehicle when the object implements the second safety procedure, is determined to have a lesser likelihood of incurring a collision between the vehicle and the object than the first safety procedure.

    EFFICIENT SAFETY AWARE PATH SELECTION AND PLANNING FOR AUTONOMOUS MACHINE APPLICATIONS

    公开(公告)号:US20240336285A1

    公开(公告)日:2024-10-10

    申请号:US18745919

    申请日:2024-06-17

    IPC分类号: B60W60/00 B60W30/095

    摘要: In various examples, systems and methods are disclosed for weighting one or more optional paths based on obstacle avoidance or other safety considerations. In some embodiments, the obstacle avoidance considerations may be computed using a comparison of trajectories representative of safety procedures at present and future projected time steps of an ego-vehicle and other actors to ensure that each actor is capable of implementing their respective safety procedure while avoiding collisions at any point along the trajectory. This comparison may include filtering out a path(s) of an actor at a time step(s)—e.g., using a one-dimensional lookup—based on spatial relationships between the actor and the ego-vehicle at the time step(s). Where a particular path—or point along the path—does not satisfy a collision-free standard, the path may be penalized more negatively with respect to the obstacle avoidance considerations, or may be removed from consideration as a potential path.

    LANE CHANGE PLANNING AND CONTROL IN AUTONOMOUS MACHINE APPLICATIONS

    公开(公告)号:US20240116538A1

    公开(公告)日:2024-04-11

    申请号:US18545856

    申请日:2023-12-19

    摘要: In various examples, sensor data may be collected using one or more sensors of an ego-vehicle to generate a representation of an environment surrounding the ego-vehicle. The representation may include lanes of the roadway and object locations within the lanes. The representation of the environment may be provided as input to a longitudinal speed profile identifier, which may project a plurality of longitudinal speed profile candidates onto a target lane. Each of the plurality of longitudinal speed profiles candidates may be evaluated one or more times based on one or more sets of criteria. Using scores from the evaluation, a target gap and a particular longitudinal speed profile from the longitudinal speed profile candidates may be selected. Once the longitudinal speed profile for a target gap has been determined, the system may execute a lane change maneuver according to the longitudinal speed profile.