TRANSITIONING STEERING CONTROL FROM AN AUTONOMOUS VEHICLE TO A DRIVER

    公开(公告)号:US20230202531A1

    公开(公告)日:2023-06-29

    申请号:US18176714

    申请日:2023-03-01

    Applicant: TuSimple, Inc.

    Abstract: Techniques are described for transitioning control of a steering system from an autonomous mode in a vehicle to a driver-controlled mode where the driver can control the steering wheel of the steering system. A method includes receiving values that describe an amount of torque and a direction of torque in response to a torque applied to a steering wheel of a steering system operated in an autonomous mode, determining that the values are either greater than or equal to a threshold value or are less than or equal to a negative of the threshold value, determining that the values are measured over a period of time greater than or equal to a pre-determined amount of time, and transitioning the steering system from being operated in the autonomous mode to being operated in a driver-controlled mode in which the steering system is under manual control.

    VEHICLE SAFETY SYSTEM FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20220126872A1

    公开(公告)日:2022-04-28

    申请号:US17080444

    申请日:2020-10-26

    Applicant: TUSIMPLE, INC.

    Abstract: Devices, systems, and methods for a vehicular safety system in autonomous vehicles are described. An example method for safely controlling a vehicle includes selecting, based on a first control command from a first vehicle control unit, an operating mode of the vehicle, and transmitting, based on the selecting, the operating mode to an autonomous driving system, wherein the first control command is generated based on input from a first plurality of sensors, and wherein the operating mode corresponds to one of (a) a default operating mode, (b) a minimal risk condition mode of a first type that configures the vehicle to pull over to a nearest pre-designated safety location, (c) a minimal risk condition mode of a second type that configures the vehicle to immediately stop in a current lane, or (d) a minimal risk condition mode of a third type that configures the vehicle to come to a gentle stop.

    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.

    MANAGING REDUNDANT STEERING SYSTEM FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20210276615A1

    公开(公告)日:2021-09-09

    申请号:US16810781

    申请日:2020-03-05

    Applicant: TUSIMPLE, INC.

    Abstract: Techniques are described for managing redundant steering system for a vehicle. A method includes sending a first control command that instructs a first motor coupled to a steering wheel in a steering system to steer a vehicle, receiving, after sending the first control command, a speed of the vehicle, a yaw rate of the vehicle, and a steering position of the steering wheel, determining, based at least on the speed and the yaw rate, an expected range of steering angles that describes values within which the first motor is expected to steer the vehicle based on the first control command, and upon determining that the steering position of a steering wheel is outside the expected range of steering angles, sending a second control command that instructs a second motor coupled to the steering wheel in the steering system to steer the vehicle.

    ADAPTIVE ILLUMINATION FOR A TIME-OF-FLIGHT CAMERA ON A VEHICLE

    公开(公告)号:US20210274082A1

    公开(公告)日:2021-09-02

    申请号:US17325135

    申请日:2021-05-19

    Applicant: TUSIMPLE, INC.

    Abstract: Disclosed are devices, systems and methods for capturing an image. In one aspect an electronic camera apparatus includes an image sensor with a plurality of pixel regions. The apparatus further includes an exposure controller. The exposure controller determines, for each of the plurality of pixel regions, a corresponding exposure duration and a corresponding exposure start time. Each pixel region begins to integrate incident light starting at the corresponding exposure start time and continues to integrate light for the corresponding exposure duration. In some example embodiments, at least two of the corresponding exposure durations or at least two of the corresponding exposure start times are different in the image.

    POWER MANAGEMENT SYSTEM FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20210237667A1

    公开(公告)日:2021-08-05

    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.

    VEHICLE WEIGHT DISTRIBUTION DETERMINATION

    公开(公告)号:US20210048333A1

    公开(公告)日:2021-02-18

    申请号:US16989623

    申请日:2020-08-10

    Applicant: TUSIMPLE, INC.

    Abstract: Techniques are described for determining weight distribution of a vehicle. A method of performing autonomous driving operation includes receiving two sets of values from two sets of sensors, where a first set of sensors measure weights or pressures applied on axles of a vehicle, and where a second set of sensors measure pressures in tires of the vehicle. The method performs an error detection and removal operation to remove or filter out any erroneous values from the two sets of values to obtain two sets of filtered values. The method determines one or more values that describe a weight or pressure applied on the axle to obtain the weight distribution of the vehicle based on the first set of filtered values or the second set of filtered values. Based on the obtained weight distribution of the vehicle, the method can determine a driving operation of the vehicle.

    SYSTEM AND METHOD FOR USING TRIPLET LOSS FOR PROPOSAL FREE INSTANCE-WISE SEMANTIC SEGMENTATION FOR LANE DETECTION

    公开(公告)号:US20190065867A1

    公开(公告)日:2019-02-28

    申请号:US15684791

    申请日:2017-08-23

    Applicant: TuSimple

    Abstract: A system and method for using triplet loss for proposal free instance-wise semantic segmentation for lane detection are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on an autonomous vehicle; performing a semantic segmentation operation or other object detection on the received image data to identify and label objects in the image data with object category labels on a per-pixel basis and producing corresponding semantic segmentation prediction data; performing a triplet loss calculation operation using the semantic segmentation prediction data to identify different instances of objects with similar object category labels found in the image data; and determining an appropriate vehicle control action for the autonomous vehicle based on the different instances of objects identified in the image data.

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