System and method for real world autonomous vehicle trajectory simulation

    公开(公告)号:US10739775B2

    公开(公告)日:2020-08-11

    申请号:US15796765

    申请日:2017-10-28

    Applicant: TuSimple, Inc.

    Abstract: A system and method for real world autonomous vehicle trajectory simulation are disclosed. A particular embodiment includes: receiving training data from a real world data collection system; obtaining ground truth data corresponding to the training data; performing a training phase to train a plurality of trajectory prediction models; and performing a simulation or operational phase to generate a vicinal scenario for each simulated vehicle in an iteration of a simulation, the vicinal scenarios corresponding to different locations, traffic patterns, or environmental conditions being simulated, provide vehicle intention data corresponding to a data representation of various types of simulated vehicle or driver intentions, generate a trajectory corresponding to perception data and the vehicle intention data, execute at least one of the plurality of trained trajectory prediction models to generate a distribution of predicted vehicle trajectories for each of a plurality of simulated vehicles of the simulation based on the vicinal scenario and the vehicle intention data, select at least one vehicle trajectory from the distribution based on pre-defined criteria, and update a state and trajectory of each of the plurality of simulated vehicles based on the selected vehicle trajectory from the distribution.

    System and method for autonomous vehicle control to minimize energy cost

    公开(公告)号:US10678234B2

    公开(公告)日:2020-06-09

    申请号:US15685715

    申请日:2017-08-24

    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 real world autonomous vehicle trajectory simulation

    公开(公告)号:US12242274B2

    公开(公告)日:2025-03-04

    申请号:US18536635

    申请日:2023-12-12

    Applicant: TuSimple, Inc.

    Abstract: A system and method for real world autonomous vehicle trajectory simulation may include: receiving training data from a data collection system; obtaining ground truth data corresponding to the training data; performing a training phase to train a plurality of trajectory prediction models; and performing a simulation or operational phase to generate a vicinal scenario for each simulated vehicle in an iteration of a simulation. Vicinal scenarios may correspond to different locations, traffic patterns, or environmental conditions being simulated. Vehicle intention data corresponding to a data representation of various types of simulated vehicle or driver intentions.

    Perception simulation for improved autonomous vehicle control

    公开(公告)号:US12228472B2

    公开(公告)日:2025-02-18

    申请号:US18424318

    申请日:2024-01-26

    Applicant: TuSimple, Inc.

    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.

    LANE BIAS MANEUVER FOR AUTONOMOUS VEHICLES TO AVOID AN INTRUDING VEHICLE

    公开(公告)号:US20230139551A1

    公开(公告)日:2023-05-04

    申请号:US18048882

    申请日:2022-10-24

    Applicant: TuSimple, Inc.

    Abstract: A system for implementing a lane bias maneuver to avoid a vehicle comprises an autonomous vehicle and a control device associated with the autonomous vehicle. The control device detects a presence of a vehicle from sensor data revied from sensors of the autonomous vehicle. The control device determines a lateral distance between the autonomous vehicle and the vehicle. The control device compares the lateral distance with a threshold distance. The control device determines whether to instruct the autonomous vehicle to perform a lane bias maneuver based on the comparison between the lateral distance and the threshold distance. The lane bias maneuver comprises driving the autonomous vehicle off-center in a current lane traveled by the autonomous vehicle toward an opposite direction with respect to the vehicle until the lateral distance between the autonomous vehicle and the vehicle is at least equal to the threshold distance.

    SYSTEMS AND METHODS FOR AUTONOMOUS ROUTE NAVIGATION

    公开(公告)号:US20230093772A9

    公开(公告)日:2023-03-23

    申请号:US16987175

    申请日:2020-08-06

    Applicant: TuSimple, Inc.

    Abstract: Systems and methods for autonomous lane level navigation are disclosed. In one aspect, a control system for an autonomous vehicle includes a processor and a computer-readable memory configured to cause the processor to receive a partial high-definition (HD) map that defines a plurality of lane segments that together represent one or more lanes of a roadway, the partial HD map including at least a current lane segment. The processor is also configured to generate auxiliary global information for each of the lane segments in the partial HD map. The processor is further configured to generate a subgraph including a plurality of possible routes between the current lane segment and the destination lane segment using the partial HD map and the auxiliary global information, select one of the possible routes for navigation based on the auxiliary global information, and generate lane level navigation information based on the selected route.

    PROACTIVE LANE CHANGE FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20220227390A1

    公开(公告)日:2022-07-21

    申请号:US17150360

    申请日:2021-01-15

    Applicant: TuSimple, Inc.

    Abstract: A system includes an autonomous vehicle (AV) configured to travel along a road and a control device communicatively coupled to the AV. The control device determines that the AV should move from a current lane of the road to an adjacent lane of the road. The control device determines two or more candidate windows into which the AV may move in the adjacent lane. Each candidate window corresponds to a space in the adjacent lane between two vehicles traveling in the adjacent lane. The control device determines that the AV should move into a first candidate window, and, in response to this determination, causes the AV to begin moving along a trajectory leading to the first candidate window (e.g., by accelerating or decelerating).

    System and method for autonomous vehicle control to minimize energy cost

    公开(公告)号:US11366467B2

    公开(公告)日:2022-06-21

    申请号:US16862132

    申请日:2020-04-29

    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.

    AUTONOMOUS VEHICLE SIMULATION SYSTEM FOR ANALYZING MOTION PLANNERS

    公开(公告)号:US20210103283A1

    公开(公告)日:2021-04-08

    申请号:US17126740

    申请日:2020-12-18

    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 areal world autonomous vehicle based on the vehicle control messages received from the autonomous vehicle control system.

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