TECHNIQUES TO DETECT THEFT OF GOODS IN VEHICLES

    公开(公告)号:US20240083387A1

    公开(公告)日:2024-03-14

    申请号:US18510515

    申请日:2023-11-15

    Applicant: TUSIMPLE, INC.

    Abstract: Techniques are described for determining an occurrence of theft in a vehicle. An example processor implemented method comprises receiving, by a computer located in an autonomous vehicle and at a first time, a first torque value that indicates a first amount of torque applied by an engine of the autonomous vehicle to drive the autonomous vehicle, receiving, at a second time that is later in time than the first time, a second torque value that indicates a second amount of torque applied by the engine of the autonomous vehicle, determining that a difference between a first value and a second value is greater than a pre-determined value, where the first value and the second value are functions of at least the first torque value and at least the second value respectively, and displaying, in response to the determining, a message that indicates a theft detection in the autonomous vehicle.

    VEHICLE POWERTRAIN INTEGRATED PREDICTIVE DYNAMIC CONTROL FOR AUTONOMOUS DRIVING

    公开(公告)号:US20220242413A1

    公开(公告)日:2022-08-04

    申请号:US17164207

    申请日:2021-02-01

    Applicant: TUSIMPLE, INC.

    Abstract: Devices, systems, and methods for integrated predictive dynamic control of a vehicle powertrain in an autonomous vehicle are described. An example method for controlling a vehicle includes generating, based on performing an optimization on a blended smooth wheel domain fuel consumption map subject to a modified torque availability constraint, one or more wheel domain control commands, converting the one or more wheel domain control commands to one or more powertrain-executable engine domain control commands, and transmitting the one or more powertrain-executable engine domain control commands to a powertrain of the vehicle, the powertrain configured to operate a plurality of gears, wherein the one or more powertrain-executable engine domain control commands enable the vehicle to track a reference kinematic trajectory associated with a vehicle speed driving plan within a predetermined tolerance.

    PREDICTIVE ANTI-LAG BRAKING CONTROL FOR AUTONOMOUS DRIVING

    公开(公告)号:US20240017702A1

    公开(公告)日:2024-01-18

    申请号:US18341560

    申请日:2023-06-26

    Applicant: TUSIMPLE, INC.

    CPC classification number: B60T8/172 B60T2270/88

    Abstract: Devices, systems, and methods for predictive anti-lag braking control for autonomous vehicles are described. An example method of controlling a vehicle includes receiving, from a controller, a first plurality of values indicative of a brake wheel torque demand associated with a deceleration profile of the vehicle, deriving, based on the first plurality of values and a steady-state brake model, a second plurality of values indicative of a brake pressure demand, wherein an input to the steady-state brake model comprises the brake pressure demand and at least one previous brake wheel torque demand, and wherein an output of the steady-state brake system comprises a current brake wheel torque demand, generating, based on the second plurality of values and at least the steady-state model, a plurality of brake control commands, and controlling, using the plurality of brake control commands, the air brake system.

    WIND GUST DETECTION BY AN AUTONOMOUS VEHICLE

    公开(公告)号:US20220126867A1

    公开(公告)日:2022-04-28

    申请号:US17504856

    申请日:2021-10-19

    Applicant: TUSIMPLE, INC.

    Abstract: An autonomous vehicle includes a detection system for identifying the presence changes in wind incident on the autonomous vehicle, particularly wind gusts. The detection system may include one or more wind sensors, particularly those configured to detect wind incident on the vehicle from a direction that is transverse or perpendicular to the direction of motion of the autonomous vehicle. Additionally, systems may be present that correlate the detected wind gusts to changes in the behavior of the autonomous vehicle. The autonomous vehicle may react to the detected wind gusts by altering the vehicle's trajectory, by stopping the vehicle, or by communicating with a control center for further instructions.

    VISIBILITY CONDITION DETERMINATIONS FOR AUTONOMOUS DRIVING OPERATIONS

    公开(公告)号:US20220024492A1

    公开(公告)日:2022-01-27

    申请号:US16938251

    申请日:2020-07-24

    Applicant: TUSIMPLE, INC.

    Abstract: Techniques are described for determining visibility conditions of an environment in which an autonomous vehicle is operated and performing driving related operations based on the visibility conditions. An example method of adjusting driving related operations of a vehicle includes determining, by a computer located in an autonomous vehicle, a visibility related condition of an environment in which the autonomous vehicle is operating, adjusting, based at least on the visibility related condition, a set of one or more values of one or more variables associated with a driving related operation of the autonomous vehicle, and causing the autonomous vehicle to be driven to a destination by causing the driving related operation of one or more devices located in the autonomous vehicle based on at least the set of one or more values.

    DATA-DRIVEN CONTROL FOR AUTONOMOUS DRIVING
    10.
    发明公开

    公开(公告)号:US20240028040A1

    公开(公告)日:2024-01-25

    申请号:US18477012

    申请日:2023-09-28

    Applicant: TUSIMPLE, INC.

    CPC classification number: G05D1/0221 G05D1/0246 G05D1/0219

    Abstract: Techniques are described to determine parameters and/or values for a control model that can be used to operate an autonomous vehicle, such as an autonomous semi-trailer truck. For example, a method of obtaining a data-driven model for autonomous driving may include obtaining data associated with a first set of variables that characterize movements of an autonomous vehicle over time and commands provided to the autonomous vehicle over time, determining, using at least the first set of data, non-zero values and an associated second set of variables that describe a control model used to perform an autonomous driving operation of the autonomous vehicle, and calculating values for a feedback controller that describes a transfer function used to perform the autonomous driving operation of the autonomous vehicle driven on a road.

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