知搜-全球专利检索

  1. 登录
  2. 注册

搜索结果

289 条记录 (耗时 0.023 秒)

    Permeable speed constraints
    3.
    发明授权
    Permeable speed constraints 有权

    公开(公告)号：US12116018B2

    公开(公告)日：2024-10-15

    申请号：US17558680

    申请日：2021-12-22

    申请人： WAYMO LLC

    发明人： Jared Stephen Russell ,  Tobias Kunz ,  Anup Menon

    IPC分类号： B60W60/00

    CPC分类号： B60W60/00276 ,  B60W60/00272 ,  B60W2554/4041 ,  B60W2554/4042 ,  B60W2554/4043 ,  B60W2554/801 ,  B60W2554/803 ,  B60W2554/804 ,  B60W2720/10 ,  B60W2720/12

    摘要： The technology relates to planning trajectories for self-driving vehicles in order to transport passengers or cargo from a pickup location to a destination. Trajectory planning includes generating a speed plan for an upcoming portion of the trip in view of one or more constraints. The constraints may be due to proximity to an adjacent vehicle or other road user, and can include projected overlaps between the vehicle and other objects in the vehicle's nearby environment. Certain constraints may be binary or otherwise discontinuous in nature, in which a condition either exists at a given point in time or it does not. Noise in sensor data or prediction models may trigger such binary conditions, which in turn may cause the vehicle to alter the speed plan.

    EFFICIENT SAFETY AWARE PATH SELECTION AND PLANNING FOR AUTONOMOUS MACHINE APPLICATIONS
    4.
    发明公开
    EFFICIENT SAFETY AWARE PATH SELECTION AND PLANNING FOR AUTONOMOUS MACHINE APPLICATIONS 审中-公开

    公开(公告)号：US20240336285A1

    公开(公告)日：2024-10-10

    申请号：US18745919

    申请日：2024-06-17

    申请人： NVIDIA Corporation

    发明人： Julia Ng ,  David Nister ,  Zhenyi Zhang ,  Yizhou Wang

    IPC分类号： B60W60/00 ,  B60W30/095

    CPC分类号： B60W60/00272 ,  B60W30/0953 ,  B60W60/0011 ,  B60W60/0018 ,  B60W2554/4041 ,  B60W2554/4042 ,  B60W2554/80

    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.

    IMAGE SYNTHESIS FOR DISCRETE TRACK PREDICTION
    7.
    发明公开
    IMAGE SYNTHESIS FOR DISCRETE TRACK PREDICTION 审中-公开

    公开(公告)号：US20240253620A1

    公开(公告)日：2024-08-01

    申请号：US18103964

    申请日：2023-01-31

    申请人： Zoox, Inc.

    发明人： Ethan Miller Pronovost

    IPC分类号： B60W30/095

    CPC分类号： B60W30/095 ,  B60W2554/4042 ,  B60W2554/4045 ,  B60W2554/4046 ,  B60W2556/40

    摘要： Techniques for generating discrete track data for object(s) in an environment are described herein. For example, the techniques may include a decoder of a variable autoencoder may generate, based on first latent variable data associated with an object and a first time, first output data representing a first discrete occupancy representation for the object at the first time. A diffusion model may generate, based on the first output data, second latent variable data associated with the object and a second time subsequent to the first time. The decoder may generate, based on the second latent variable data, second output data representing a second discrete occupancy representation for the object at the second time. A track component may generate, based on the first output data and the second output data, track data including a discrete track for the object over at least the first time and the second time.