System and method for online real-time multi-object tracking

    公开(公告)号:US11295146B2

    公开(公告)日:2022-04-05

    申请号:US16868400

    申请日:2020-05-06

    Applicant: TUSIMPLE, INC.

    Abstract: A system and method for online real-time multi-object tracking is disclosed. A particular embodiment can be configured to: receive image frame data from at least one camera associated with an autonomous vehicle; generate similarity data corresponding to a similarity between object data in a previous image frame compared with object detection results from a current image frame; use the similarity data to generate data association results corresponding to a best matching between the object data in the previous image frame and the object detection results from the current image frame; cause state transitions in finite state machines for each object according to the data association results; and provide as an output object tracking output data corresponding to the states of the finite state machines for each object.

    SYSTEMS AND METHODS FOR DETECTING TRAILER ANGLE

    公开(公告)号:US20220092318A1

    公开(公告)日:2022-03-24

    申请号:US17457885

    申请日:2021-12-06

    Applicant: TuSimple, Inc.

    Abstract: Systems and methods for detecting trailer angle are provided. In one aspect, an in-vehicle control system includes an optical sensor configured to be mounted on a tractor so as to face a trailer coupled to the tractor, the optical sensor further configured to generate optical data indicative of an angle formed between the trailer and the tractor. The system further includes a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive the optical data from the optical sensor, determine at least one candidate plane representative of a surface of the trailer visible in the optical data based on the optical data, and determine an angle between the trailer and the tractor based on the at least one candidate plane.

    TECHNIQUES TO DETECT THEFT OF GOODS IN VEHICLES

    公开(公告)号:US20220073030A1

    公开(公告)日:2022-03-10

    申请号:US17016145

    申请日:2020-09-09

    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.

    Autonomous vehicle simulation system

    公开(公告)号:US11254312B2

    公开(公告)日:2022-02-22

    申请号:US16435437

    申请日:2019-06-07

    Applicant: TUSIMPLE, INC.

    Abstract: Techniques for analysis of autonomous vehicle operations are described. As an example, a method of autonomous vehicle operation includes storing sensor data from one or more sensors located on the autonomous vehicle into a storage medium, performing, based on at least some of the sensor data, a simulated execution of one or more programs associated with the operations of the autonomous vehicle, generating, based on the simulated execution of the one or more programs and as part of a simulation, one or more control signal values that control a simulated driving behavior of the autonomous vehicle, and providing a visual feedback of the simulated driving behavior of the autonomous vehicle on a simulated road.

    DATA-DRIVEN CONTROL FOR AUTONOMOUS DRIVING

    公开(公告)号:US20220026912A1

    公开(公告)日:2022-01-27

    申请号:US16934989

    申请日:2020-07-21

    Applicant: TUSIMPLE, INC.

    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.

    CLASSIFICATION AND PRIORITIZATION OF OBJECTS FOR AUTONOMOUS DRIVING

    公开(公告)号:US20220017113A1

    公开(公告)日:2022-01-20

    申请号:US16933770

    申请日:2020-07-20

    Applicant: TUSIMPLE, INC.

    Abstract: An autonomous vehicle can classify and prioritize agent of interest (AOI) objects located around the autonomous vehicle to manage computational resources. An example method performed by an autonomous vehicle includes determining, based on a location of the autonomous vehicle and based on a map, an area in which the autonomous vehicle is operated, determining, based on sensor data received from sensors located on or in the autonomous vehicle, attributes of objects located around the autonomous vehicle, where the attributes include information that describes a status of the objects located around the autonomous vehicle, selecting, based at least on the area, a classification policy that includes a plurality of rules that are associated with a plurality of classifications to classify the objects, and for each of the objects located around the autonomous vehicle: monitoring an object according to a classification of the object based on the classification policy.

    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.

Patent Agency Ranking