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    • 17. 发明授权
    • Method and system for vehicle-to-pedestrian collision avoidance
    • US11443633B2
    • 2022-09-13
    • US17334434
    • 2021-05-28
    • Bastien Beauchamp
    • Bastien Beauchamp
    • H04N5/44G08G1/16H04W4/029H04W76/50H04W4/40
    • A method and a system for vehicle-to-pedestrian collision avoidance system, the system comprising participants consisting of Long-Term Evolution (LTE)-capable user equipment (UE) terminals physically linked to at least one vehicle and at least one pedestrian; wherein a spatiotemporal positioning of the terminals is determined from Long Term Evolution (LTE) cellular radio signals mediated by Long-Term Evolution (LTE) cellular base stations (BS) and a Location Service Client (LCS) server including an embedded Artificial Intelligence algorithm comprising a Recurrent Neural Network (RNN) algorithm and analyzes the spatiotemporal positioning of the terminals and determines the likely future trajectory and communicates the likely future trajectory of the participants to the terminals physically linked to the pedestrian; the terminals physically linked to the pedestrian include an embedded Artificial Intelligence algorithm comprising a Conditional Random Fields (CRFs) algorithm to determine if the likely future trajectory of the pedestrian is below a vehicle-to-pedestrian proximity threshold limit and, if this condition is reached, communicates a collision-avoidance emergency signal to the at least one pedestrian and/or vehicle that meet the proximity threshold limit.
    • 18. 发明授权
    • Autonomous positioning system for in interchangeable camera devices
    • US11412149B1
    • 2022-08-09
    • US17069656
    • 2020-10-13
    • Mehul Gandhi
    • Mehul Gandhi
    • H04N5/74H04N5/44H04N5/64H04N5/232H04N5/225G06V10/22
    • The invention provides a positioning system that autonomously and continuously positions interchangeable camera devices on the subject as they move allowing the camera device to leverage its native functionality without modification or connectivity to the MTDS. The embodiments of the MTDS are configured to attach and align varying size of digital cameras, video cameras, mobile devices with a camera, or smart assistants with an embedded camera, action camera, webcam or laptop with embedded camera to the stand. The MTDS tracks the movements of the user during any video conference, photography or videography session. The MTDS includes a sensor, separate from the camera on the camera device, that sends the sensor data stream to a microcontroller in the stand and a machine learning co-processor detects the presence of a person. As the speaker or subject (user) moves, the MTDS tracks their movements and directs motors in the stand to pan or tilt the stand to orient the camera device's camera at the user. Through movement of the stand, the speaker or user stays centered in the camera frame. No data connections or software integrations are required to operate the MTDS.