Remote safe driving methods and systems

    公开(公告)号:US11292480B2

    公开(公告)日:2022-04-05

    申请号:US16569640

    申请日:2019-09-12

    Applicant: TuSimple, Inc.

    Abstract: Disclosed are devices, systems and methods for remote safe driving. One exemplary method includes detecting an emergency situation, and in response to the detecting the emergency situation, switching operation of the vehicle to a low-power operation mode that comprises shutting down a subset of vehicular components, and periodically transmitting a location of the vehicle to a remote monitoring center. Another exemplary method includes selecting at least one of a set of vehicular driving actions, and transmitting, over a secure connection, the at least one of the set of vehicular driving actions to the vehicle, wherein the set of vehicular driving actions is generated based on a classification of driver behavior.

    Neural network architecture system for deep odometry assisted by static scene optical flow

    公开(公告)号:US10671083B2

    公开(公告)日:2020-06-02

    申请号:US15703879

    申请日:2017-09-13

    Applicant: TuSimple, Inc.

    Abstract: A system for visual odometry is disclosed. The system includes: an internet server, comprising: an I/O port, configured to transmit and receive electrical signals to and from a client device; a memory; one or more processing units; and one or more programs stored in the memory and configured for execution by the one or more processing units, the one or more programs including instructions for: extracting representative features from a pair input images in a first convolution neural network (CNN) in a visual odometry model; merging, in a first merge module, outputs from the first CNN; decreasing feature map size in a second CNN; generating a first flow output for each layer in a first deconvolution neural network (DNN); merging, in a second merge module, outputs from the second CNN and the first DNN; generating a second flow output for each layer in a second DNN; and reducing accumulated errors in a recurrent neural network (RNN).

    Monitoring system for autonomous vehicle operation

    公开(公告)号:US12122398B2

    公开(公告)日:2024-10-22

    申请号:US17722110

    申请日:2022-04-15

    Applicant: TUSIMPLE, INC.

    Abstract: An apparatus is provided to comprise: at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to: receive, from an electronic control unit of a vehicle, a test result comprising a result of a self test performed by the electronic control unit; analyze the received test result to determine a vehicle status, the vehicle status comprising a status indicator and status information to be included in a report; periodically transmit, to a remote system according to a first time period, a report including the vehicle status, a duration of the first time period being dependent on the vehicle status; receive, from the remote system, a control command; and in response to the control command being received, implement the control command.

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