AUTONOMOUS VEHICLE SIMULATION SYSTEM FOR ANALYZING MOTION PLANNERS

    公开(公告)号:US20250053171A1

    公开(公告)日:2025-02-13

    申请号:US18932073

    申请日:2024-10-30

    Applicant: TUSIMPLE, INC.

    Abstract: An autonomous vehicle simulation system for analyzing motion planners is disclosed. A particular embodiment includes: receiving map data corresponding to a real world driving environment; obtaining perception data and configuration data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating simulated perception data for each of the plurality of simulated dynamic vehicles based on the map data, the perception data, and the configuration data; receiving vehicle control messages from an autonomous vehicle control system; and simulating the operation and behavior of a real world autonomous vehicle based on the vehicle control messages received from the autonomous vehicle control system.

    SYSTEM AND METHOD FOR AUTONOMOUS VEHICLE CONTROL TO MINIMIZE ENERGY COST

    公开(公告)号:US20240085900A1

    公开(公告)日:2024-03-14

    申请号:US18510352

    申请日:2023-11-15

    Applicant: TUSIMPLE, INC.

    CPC classification number: G05D1/0005 B60R16/0236 G01C21/3469 G05D1/0088

    Abstract: A system and method for autonomous vehicle control to minimize energy cost are disclosed. A particular embodiment includes: generating a plurality of potential routings and related vehicle motion control operations for an autonomous vehicle to cause the autonomous vehicle to transit from a current position to a desired destination; generating predicted energy consumption rates for each of the potential routings and related vehicle motion control operations using a vehicle energy consumption model; scoring each of the plurality of potential routings and related vehicle motion control operations based on the corresponding predicted energy consumption rates; selecting one of the plurality of potential routings and related vehicle motion control operations having a score within an acceptable range; and outputting a vehicle motion control output representing the selected one of the plurality of potential routings and related vehicle motion control operations.

    SYSTEM AND METHOD FOR USING HUMAN DRIVING PATTERNS TO MANAGE SPEED CONTROL FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20220197283A1

    公开(公告)日:2022-06-23

    申请号:US17654224

    申请日:2022-03-09

    Applicant: TuSimple, Inc.

    Abstract: A system and method for using human driving patterns to manage speed control for autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to desired human driving behaviors; training a human driving model module using a reinforcement learning process and the desired human driving behaviors; receiving a proposed vehicle speed control command; determining if the proposed vehicle speed control command conforms to the desired human driving behaviors by use of the human driving model module; and validating or modifying the proposed vehicle speed control command based on the determination.

    TWO-LEVEL PATH PLANNING FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20210403032A1

    公开(公告)日:2021-12-30

    申请号:US16912444

    申请日:2020-06-25

    Applicant: TUSIMPLE, INC.

    Abstract: Described is a two-level optimal path planning process for autonomous tractor-trailer trucks which incorporates offline planning, online planning, and utilizing online estimation and perception results for adapting a planned path to real-world changes in the driving environment. In one aspect, a method of navigating an autonomous vehicle includes determining, by an online server, a current vehicle state of the autonomous vehicle in a mapped driving area. The method includes receiving, by the online server from an offline path library, a path for the autonomous driving vehicle through the mapped driving area from the current vehicle state to a destination vehicle state, and receiving fixed and moving obstacle information. The method includes adjusting the path to generate an optimized path that avoids the fixed and moving obstacles and ends at a targeted final vehicle state, and navigating the autonomous vehicle based on the optimized path.

    AUTONOMOUS VEHICLE SIMULATION SYSTEM FOR ANALYZING MOTION PLANNERS

    公开(公告)号:US20190163181A1

    公开(公告)日:2019-05-30

    申请号:US15827452

    申请日:2017-11-30

    Applicant: TuSimple

    Abstract: An autonomous vehicle simulation system for analyzing motion planners is disclosed. A particular embodiment includes: receiving map data corresponding to a real world driving environment; obtaining perception data and configuration instructions and data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating simulated perception data for each of the plurality of simulated dynamic vehicles based on the map data, the perception data, and the configuration instructions and data; receiving vehicle control messages from an autonomous vehicle control system; and simulating the operation and behavior of a real world autonomous vehicle based on the vehicle control messages received from the autonomous vehicle control system.

    PERCEPTION SIMULATION FOR IMPROVED AUTONOMOUS VEHICLE CONTROL

    公开(公告)号:US20240192089A1

    公开(公告)日:2024-06-13

    申请号:US18424318

    申请日:2024-01-26

    Applicant: TuSimple, Inc.

    CPC classification number: G01M17/00 B60W30/00

    Abstract: A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: configuring a sensor noise modeling module to produce simulated sensor errors or noise data with a configured degree, extent, and timing of simulated sensor errors or noise based on a set of modifiable parameters; using the simulated sensor errors or noise data to generate simulated perception data by simulating errors related to constraints of one or more of a plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

    SYSTEM AND METHOD FOR AUTONOMOUS VEHICLE CONTROL TO MINIMIZE ENERGY COST

    公开(公告)号:US20220317680A1

    公开(公告)日:2022-10-06

    申请号:US17807709

    申请日:2022-06-17

    Applicant: TUSIMPLE, INC.

    Abstract: A system and method for autonomous vehicle control to minimize energy cost are disclosed. A particular embodiment includes: generating a plurality of potential routings and related vehicle motion control operations for an autonomous vehicle to cause the autonomous vehicle to transit from a current position to a desired destination; generating predicted energy consumption rates for each of the potential routings and related vehicle motion control operations using a vehicle energy consumption model; scoring each of the plurality of potential routings and related vehicle motion control operations based on the corresponding predicted energy consumption rates; selecting one of the plurality of potential routings and related vehicle motion control operations having a score within an acceptable range; and outputting a vehicle motion control output representing the selected one of the plurality of potential routings and related vehicle motion control operations.

    SYSTEM AND METHOD FOR USING HUMAN DRIVING PATTERNS TO DETECT AND CORRECT ABNORMAL DRIVING BEHAVIORS OF AUTONOMOUS VEHICLES

    公开(公告)号:US20210309210A1

    公开(公告)日:2021-10-07

    申请号:US17350297

    申请日:2021-06-17

    Applicant: TuSimple, Inc.

    Abstract: A system and method for using human driving patterns to detect and correct abnormal driving behaviors of autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to a normal driving behavior safe zone; receiving a proposed vehicle control command; comparing the proposed vehicle control command with the normal driving behavior safe zone; and issuing a warning alert if the proposed vehicle control command is outside of the normal driving behavior safe zone. Another embodiment includes modifying the proposed vehicle control command to produce a modified and validated vehicle control command if the proposed vehicle control command is outside of the normal driving behavior safe zone.

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