OPTIMIZATION BASED PLANNING SYSTEM

    公开(公告)号:US20230097121A1

    公开(公告)日:2023-03-30

    申请号:US17485041

    申请日:2021-09-24

    Applicant: Zoox, Inc.

    Abstract: Techniques for aggregating costs associated with one or more heat maps to control a vehicle in an environment are discussed herein. A vehicle computing device can implement a model to determine heat maps and respective cost information for different features of the environment based on sensor data. The vehicle computing device can output a planned trajectory for the vehicle based on combining the heat maps. The techniques can also include determining a rationalization or root cause detailing reasons why the planned trajectory was determined.

    Vehicle operation and/or simulation decision registry

    公开(公告)号:US12240484B1

    公开(公告)日:2025-03-04

    申请号:US17184559

    申请日:2021-02-24

    Applicant: Zoox, Inc.

    Abstract: Tracking perception and/or planning component decisions may comprise generating a data structure in association with an output determined by a component. This data structure, along with one or more data structures generated in association with other outputs generated by the same or different components of the vehicle, may be used to determine a trace that identifies component(s) that determined outputs that affected a particular component's generation of an output. This trace and/or factors identified by the data structure may be used to detect a problem with a component; identify a component or output therefrom that may be causing an error; determine a portion of a component that has been activated and a frequency associated therewith; and/or visualize operation of the vehicle associated with activation of particular components, among additional or alternate uses discussed herein.

    TRAJECTORY PLANNING BASED ON TREE SEARCH EXPANSION

    公开(公告)号:US20250108839A1

    公开(公告)日:2025-04-03

    申请号:US18478813

    申请日:2023-09-29

    Applicant: Zoox, Inc.

    Abstract: Techniques for determining a vehicle trajectory that causes a vehicle to navigate in an environment relative to one or more objects are described herein. In some cases, the techniques described herein relate to selectively expanding a tree structure (e.g., a decision tree structure) to efficiently search for simulation data that can be used to evaluate vehicle control trajectories. The tree structure may include state nodes representing observed and/or predicted environment states, and action nodes representing candidate actions the vehicle may take. By selectively and incrementally expanding the tree using estimated state transition probabilities to focus on higher likelihood scenarios, more optimal trajectories can be determined without exhaustively evaluating every possible outcome.

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