SENSOR LAYOUT TECHNIQUES
    11.
    发明公开

    公开(公告)号:US20230266759A1

    公开(公告)日:2023-08-24

    申请号:US18167993

    申请日:2023-02-13

    Applicant: TuSimple, Inc.

    CPC classification number: G05D1/0088 G05D2201/0213

    Abstract: A system installed in a vehicle includes a first group of sensing devices configured to allow a first level of autonomous operation of the vehicle; a second group of sensing devices configured to allow a second level of autonomous operation of the vehicle, the second group of sensing devices including primary sensing devices and backup sensing devices; a third group of sensing devices configured to allow the vehicle to perform a safe stop maneuver; and a control element communicatively coupled to the first group of sensing devices, the second group of sensing devices, and the third group of sensing devices. The control element is configured to: receive data from at least one of the first group, the second group, or the third group of sensing devices, and provide a control signal to a sensing device based on categorization information indicating a group to which the sensing device belongs.

    AUTONOMOUS DRIVING CRASH PREVENTION

    公开(公告)号:US20210403050A1

    公开(公告)日:2021-12-30

    申请号:US17359007

    申请日:2021-06-25

    Applicant: TUSIMPLE, INC.

    Abstract: Autonomous vehicles must accommodate various road configurations such as straight roads, curved roads, controlled intersections, uncontrolled intersections, and many others. Autonomous driving systems must make decisions about the speed and distance of traffic and about obstacles including obstacles that obstruct the view of the autonomous vehicle's sensors. For example, at intersections, the autonomous driving system must identify vehicles in the path of the autonomous vehicle or potentially in the path based on a planned path, estimate the distance to those vehicles, and estimate the speeds of those vehicles. Then, based on those and the road configuration and environmental conditions, the autonomous driving system must decide whether it is safe to proceed along the planned path or not, and when it is safe to proceed.

    PERCEPTION SYSTEM FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20250014305A1

    公开(公告)日:2025-01-09

    申请号:US18891113

    申请日:2024-09-20

    Applicant: TUSIMPLE, INC.

    Abstract: Image processing techniques are described to obtain an image from a camera located on a vehicle while the vehicle is being driven, cropping a portion of the obtained image corresponding to a region of interest, detecting an object in the cropped portion, adding a bounding box around the detected object, determining position(s) of reference point(s) on the bounding box, and determining a location of the detected object in a spatial region where the vehicle is being driven based on the determined one or more positions of the second set of one or more reference points on the bounding box.

    PERCEPTION SYSTEM FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20210397857A1

    公开(公告)日:2021-12-23

    申请号:US16909950

    申请日:2020-06-23

    Applicant: TUSIMPLE, INC.

    Abstract: Image processing techniques are described to obtain an image from a camera located on a vehicle while the vehicle is being driven, cropping a portion of the obtained image corresponding to a region of interest, detecting an object in the cropped portion, adding a bounding box around the detected object, determining position(s) of reference point(s) on the bounding box, and determining a location of the detected object in a spatial region where the vehicle is being driven based on the determined one or more positions of the second set of one or more reference points on the bounding box.

    SYSTEM AND METHOD FOR PROXIMATE VEHICLE INTENTION PREDICTION FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20210370932A1

    公开(公告)日:2021-12-02

    申请号:US17401781

    申请日:2021-08-13

    Applicant: TUSIMPLE, INC.

    Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.

    VERIFICATION MODULE SYSTEM AND METHOD FOR MOTION-BASED LANE DETECTION WITH MULTIPLE SENSORS

    公开(公告)号:US20210033420A1

    公开(公告)日:2021-02-04

    申请号:US17074468

    申请日:2020-10-19

    Applicant: TUSIMPLE, INC.

    Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

    AUDITORY ASSISTANT MODULE FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20200339145A1

    公开(公告)日:2020-10-29

    申请号:US16854848

    申请日:2020-04-21

    Applicant: TuSimple, Inc.

    Abstract: Disclosed are devices, systems and methods for an audio assistant in an autonomous or semi-autonomous vehicle. In one aspect the informational audio assistant receives a first set of data from a vehicle sensor and identifies an object or condition using the data from the vehicle sensor. Audio is generated representative of a perceived danger of an object or condition. A second set of data from the vehicle sensor subsystem is received and the informational audio assistant determines whether an increased danger exists based on a comparison of the first set of data to the second set of data. The informational audio assistant will apply a sound profile to the generated audio based on the increased danger.

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