Vehicle weight distribution determination

    公开(公告)号:US12000727B2

    公开(公告)日:2024-06-04

    申请号:US17819304

    申请日:2022-08-11

    Applicant: TUSIMPLE, INC.

    Abstract: Techniques are described for determining weight distribution of a vehicle. A method of performing autonomous driving operation includes determining a vehicle weight distribution that values for each axle of the vehicle that describe weight or pressure applied on a respective axle. The values of the vehicle weight distribution are determined by removing at least one value that is outside a range of pre-determined values from a set of sensor values. The method further includes determining a driving-related operation of the vehicle weight distribution. For example, the driving-related operation may include determining a braking amount for each axle and/or determining a maximum steering angle to operate the vehicle. The method further includes controlling one or more subsystems in the vehicle via an instruction related to the driving-related operation. For example, transmitting the instruction to the one or more subsystems causes the vehicle to perform the driving-related operation.

    ADAPTIVE ILLUMINATION SYSTEM FOR AN AUTONOMOUS VEHICLE

    公开(公告)号:US20230219488A1

    公开(公告)日:2023-07-13

    申请号:US18149901

    申请日:2023-01-04

    Applicant: TuSimple, Inc.

    CPC classification number: B60Q1/143 B60Q2300/054 B60Q2300/42 G06V20/58

    Abstract: A system comprises a headlight mounted on an autonomous vehicle. The headlight is configured to illuminate at least a portion of a road the autonomous vehicle is on. The system further comprises a control device associated with the autonomous vehicle. The processor obtains information about an environment around the autonomous vehicle. The processor determines that at least a portion of the road should be illuminated if the information indicates that an illumination level of the portion of the road is less than a threshold illumination level. The processor adjusts the headlight to illuminate at least the portion of the road in response to determining that at least the portion of the road should be illuminated.

    POWER MANAGEMENT SYSTEM FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20230174005A1

    公开(公告)日:2023-06-08

    申请号:US18161355

    申请日:2023-01-30

    Applicant: TuSimple, Inc.

    CPC classification number: B60R16/0232 G07C5/085 G05D1/0088

    Abstract: A power management system is disclosed for managing power in a vehicle. The system may include a power distribution unit (PDU) communicably coupled to a power controller unit located in the vehicle. The power controller unit comprises a microcontroller configured to: receive, from the PDU, a temperature value that indicates a temperature of the PDU, one or more voltage values from the one or more voltage sensors, or one or more current values from the one or more current sensors, perform a determination that the temperature value, the one or more voltage values, or the one or more current values are below one or more of their respective pre-determined threshold values, and send, after the determination, a health status message to a computer located in the vehicle, where the health status message indicates that the PDU is operating in a safe operating condition.

    Road friction estimation techniques

    公开(公告)号:US11639177B2

    公开(公告)日:2023-05-02

    申请号:US17022875

    申请日:2020-09-16

    Applicant: TUSIMPLE, INC.

    Abstract: Techniques are described for estimating road friction between a road and tires of a vehicle. A method includes receiving, from a temperature sensor on a vehicle, a temperature value that indicates a temperature of an environment in which a vehicle is operated, determining a first range of friction values that quantify a friction between a road and tires of a vehicle based on a function of the temperature value and an extent of precipitation in a region that indicate a hazardous driving condition, obtaining, from the first range of friction values, a value that quantifies the friction between the road and the tires of the vehicle, where the value is obtained based on a driving related behavior of the vehicle, and causing the vehicle to operate on the road based on the value obtained from the first range of friction values.

    Power management system for autonomous vehicles

    公开(公告)号:US11597337B2

    公开(公告)日:2023-03-07

    申请号:US16781936

    申请日:2020-02-04

    Applicant: TUSIMPLE, INC.

    Abstract: A power management system is disclosed for managing power in a vehicle. The system may include a power distribution unit (PDU) communicably coupled to a power controller unit located in the vehicle. The power controller unit comprises a microcontroller configured to: receive, from the PDU, a temperature value that indicates a temperature of the PDU, one or more voltage values from the one or more voltage sensors, or one or more current values from the one or more current sensors, perform a determination that the temperature value, the one or more voltage values, or the one or more current values are below one or more of their respective pre-determined threshold values, and send, after the determination, a health status message to a computer located in the vehicle, where the health status message indicates that the PDU is operating in a safe operating condition.

    Operational testing of autonomous vehicles

    公开(公告)号:US11169513B2

    公开(公告)日:2021-11-09

    申请号:US16370056

    申请日:2019-03-29

    Applicant: TuSimple, Inc.

    Abstract: Disclosed are devices, systems and methods for the operational testing on autonomous vehicles. One exemplary method includes configuring a primary vehicular model with an algorithm, calculating one or more trajectories for each of one or more secondary vehicular models that exclude the algorithm, configuring the one or more secondary vehicular models with a corresponding trajectory of the one or more trajectories, generating an updated algorithm based on running a simulation of the primary vehicular model interacting with the one or more secondary vehicular models that conform to the corresponding trajectory in the simulation, and integrating the updated algorithm into an algorithmic unit of the autonomous vehicle.

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