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公开(公告)号:US20250102309A1
公开(公告)日:2025-03-27
申请号:US18974409
申请日:2024-12-09
Applicant: United Parcel Service of America, Inc.
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.
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公开(公告)号:US20240367916A1
公开(公告)日:2024-11-07
申请号:US18769256
申请日:2024-07-10
Applicant: United Parcel Service of America, Inc.
Inventor: Julio GIL , Julian Leland BELL , Youngjun CHOI
Abstract: Disclosed herein are systems, methods, and apparatuses for locating, engaging, and shifting objects. The systems may be used to unload objects from a storage space, e.g., inside a vehicle or facility, including one associated with a logistics network operation. The systems disclosed herein may operate in automated or semi-automated fashion, e.g., at the direction of a control system associated with a computing device. The systems may further utilize shifter mechanisms that each include one or more belt-driven mechanisms and position-changing mechanisms that facilitate the locating, engaging, and shifting of objects in a storage space. The components of these systems may operate independently, or in coordination, thereby increasing the efficiency of an object-handling operation.
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公开(公告)号:US20240005263A1
公开(公告)日:2024-01-04
申请号:US17853748
申请日:2022-06-29
Applicant: United Parcel Service of America, Inc.
Inventor: Youngjun CHOI , Po-Nien LIN , Hyunki LEE
IPC: G06Q10/08
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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