ROUTE-RELATIVE TRAJECTORY GENERATION AND OPTIMIZATION COMPUTATIONS INCORPORATING VEHICLE SIDESLIP

    公开(公告)号:US20240174239A1

    公开(公告)日:2024-05-30

    申请号:US18072056

    申请日:2022-11-30

    Applicant: Zoox, Inc.

    CPC classification number: B60W50/0097 B60W60/001 B60W2520/20

    Abstract: Techniques are discussed for generating and optimizing trajectories for autonomous vehicles using route-relative numerical integration relative to a reference path. A planner component of an autonomous vehicle, for example, can receive or generate a reference path corresponding to a route through an environment. The current vehicle state, sideslip, and vehicle dynamics can be represented in a system of equations, such that the planner component can substantially simultaneously solve for subsequent trajectory states in a single convergence operation. In various examples, the subsequent trajectory states can be used to evaluate and determine candidate trajectories to control the autonomous vehicle to traverse the environment.

    ACTION REFERENCE GENERATION PIPELINE

    公开(公告)号:US20240400096A1

    公开(公告)日:2024-12-05

    申请号:US18204347

    申请日:2023-05-31

    Applicant: Zoox, Inc.

    Abstract: Techniques for accurately predicting and avoiding collisions with objects detected in an environment of a vehicle are discussed herein. A vehicle computing device can implement a model to generate action references usable in a tree search to control the vehicle. For example, the model may represent one or more trajectory generators that modify a baseline trajectory in different ways to output a set of actions trajectories that are usable to define a tree structure. The set of action trajectories can be used by the vehicle computing device for predicting vehicle actions by the vehicle computing device to control the vehicle.

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