CLOUD-BASED PLATFORM FOR DETERMINING AND GENERATING OPTIMIZED NAVIGATION INSTRUCTIONS FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20250102309A1

    公开(公告)日:2025-03-27

    申请号:US18974409

    申请日:2024-12-09

    Inventor: Youngjun CHOI

    Abstract: Methods, systems, and computer-readable media are disclosed herein that generate computer-executable instructions that are executed by an autonomous vehicle and cause the autonomous vehicle to follow a specific route to deliver or pickup of an item. Using an inference model, historical data of off-street terrain used for prior deliveries and on-street terrain in map data are leveraged to generate candidate routes for the “last 10 feet” of a delivery. One of the candidate routes is selected by the inference model. Then, computer-executable instructions are generated that, when executed by an autonomous vehicle, cause the autonomous vehicle to follow the selected route and perform the last 10 feet of delivery.

    MACHINE VISION SYSTEM FOR ADVANCEMENT OF TRAILER LOADING/UNLOADING VISIBILITY

    公开(公告)号:US20240005263A1

    公开(公告)日:2024-01-04

    申请号:US17853748

    申请日:2022-06-29

    CPC classification number: G06Q10/08355

    Abstract: Provided are embodiments for providing analytics indicative of object detection or fill-level detection at or near real-time based on video data captured during an unloading or loading process. A computerized system may detect and classify, using an object-detection machine learning (ML) model, an object based on the video data. A computerized system may further determine, using a fill-level ML model, a fill-level of the storage compartment based on a comparison of edges of the storage compartment to a total dimension corresponding to the edge. In this manner, the various implementations described herein provide a technique for computing systems employing image processing and machine learning techniques to a video data stream to generate analytics associated with the unloading or loading process at or near real-time.

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