Open space planner profiling tool for autonomous vehicle

    公开(公告)号:US12097887B2

    公开(公告)日:2024-09-24

    申请号:US17398359

    申请日:2021-08-10

    申请人: Baidu USA LLC

    IPC分类号: B60W60/00 B60W50/04 B60W50/00

    摘要: According to various embodiments, systems, methods, and media for evaluating an open space planner in an autonomous vehicle are disclosed. In one embodiment, an exemplary method includes receiving, at a profiling application, a record file recorded by the ADV while driving in an open space using the open space planner, and a configuration file specifying parameters of the ADV; extracting planning messages and prediction messages from the record file, each extracted message being associated with the open space planner. The method further includes generating features from the planning message and the prediction messages in view of the specified parameters of the ADV; and calculating statistical metrics from the features. The statistical metrics are then provided to an automatic tuning framework for tuning the open space planner.

    OPEN SPACE PATH PLANNING USING INVERSE REINFORCEMENT LEARNING

    公开(公告)号:US20210294340A1

    公开(公告)日:2021-09-23

    申请号:US16827452

    申请日:2020-03-23

    申请人: Baidu USA LLC

    IPC分类号: G05D1/02 G05D1/00

    摘要: In one embodiment, a method determines a route from a first location of an autonomous driving vehicle (ADV) to a second location within an open space, the first location being a current location of the ADV. The method determines an objective function based on the route, the objective function having a set of costs for maneuvering the ADV from the first location to the second location. The method determines environmental conditions of the open space and uses the environmental conditions to determine a set of weights, each weight to be applied to a corresponding cost of the objective function. The method optimizes the objective function in view of one or more constraints, such that an output of the objective function reaches minimum while the one or more constraints are satisfied and generates a path trajectory with the optimized objective function to control the ADV autonomously according to the path trajectory.

    Learning based controller for autonomous driving

    公开(公告)号:US11814073B2

    公开(公告)日:2023-11-14

    申请号:US16823141

    申请日:2020-03-18

    申请人: Baidu USA LLC

    IPC分类号: B60W60/00

    摘要: In one embodiment, a control command is generated with an MPC controller, the MPC controller including a cost function with weights associated with cost terms of the cost function. The control command is applied to a dynamic model of an autonomous driving vehicle (ADV) to simulate behavior of the ADV. One or more of the weights are based on evaluation of the dynamic model in response to the control command, resulting in an adjusted cost function of the MPC controller. Another control command is generated with the MPC controller having the adjusted cost function. This second control command can be used to effect movement of the ADV.

    Parking management architecture for parking autonomous driving vehicles

    公开(公告)号:US11183059B2

    公开(公告)日:2021-11-23

    申请号:US16391232

    申请日:2019-04-22

    申请人: Baidu USA LLC

    摘要: According to one embodiment, in response to a request to park an ADV into a parking lot, a remote server is accessed over a network (e.g., a VX2 link) to obtain a list of parking spaces that appear to be available in the parking lot. Based on the list of available parking spaces and the map associated with the parking lot, a route is generated to navigate through at least the available parking spaces. The ADV is driven according to the route to locate at least one of the available parking spaces and to park the ADV into the located available parking space. The centralized server is configured to periodically receive signals from a number of parking lots indicating which of the parking spaces of the parking lots are apparently available.