Invention Grant
- Patent Title: Systems and methods for utilizing machine learning models to reconstruct a vehicle accident scene from video
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Application No.: US17810003Application Date: 2022-06-30
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Publication No.: US11798281B2Publication Date: 2023-10-24
- Inventor: Francesco Sambo , Leonardo Taccari , Marco Boschi , Luca De Luigi , Samuele Salti
- Applicant: Verizon Connect Development Limited
- Applicant Address: IE Dublin
- Assignee: Verizon Connect Development Limited
- Current Assignee: Verizon Connect Development Limited
- Current Assignee Address: IE Dublin
- Main IPC: G06V20/40
- IPC: G06V20/40 ; G06T7/20 ; G06T17/20 ; G07C5/00 ; G08G1/00

Abstract:
A device may receive, from a first vehicle, video data for video captured of a location associated with an accident for a second vehicle, and may process the video data, with a first model, to generate a sparse point cloud of the location associated with the accident. The device may process the video data, with a second model, to generate depth maps for frames of the video data, and may utilize the depth maps with the sparse point cloud to generate a dense point cloud. The device may process the video data, with a third model, to generate a dense semantic point cloud, and may process the dense semantic point cloud, with a fourth model, to determine a dense semantic overhead view of the location associated with the accident. The device may perform actions based on the dense semantic overhead view.
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