Invention Grant
- Patent Title: Object trajectory forecasting
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Application No.: US17460776Application Date: 2021-08-30
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Publication No.: US11887317B2Publication Date: 2024-01-30
- Inventor: Boris Ivanovic , Yifeng Lin , Shubham Shrivastava , Punarjay Chakravarty , Marco Pavone
- Applicant: Ford Global Technologies, LLC , The Board of Trustees of the Leland Stanford Junior University
- Applicant Address: US MI Dearborn
- Assignee: Ford Global Technologies, LLC,The Board of Trustees of the Leland Stanford Junior University
- Current Assignee: Ford Global Technologies, LLC,The Board of Trustees of the Leland Stanford Junior University
- Current Assignee Address: US MI Dearborn; US CA Stanford
- Agency: Bejin Bieneman PLC
- Agent Frank A. Mackenzie
- Main IPC: G06T7/277
- IPC: G06T7/277 ; G06T7/70 ; B60W10/18 ; B60W10/20 ; B60W10/04 ; G08G1/01 ; B60W40/04 ; G06N3/044 ; G06N3/045

Abstract:
A plurality of agent locations can be determined at a plurality of time steps by inputting a plurality of images to a perception algorithm that inputs the plurality of images and outputs agent labels and the agent locations. A plurality of first uncertainties corresponding to the agent locations can be determined at the plurality of time steps by inputting the plurality of agent locations to a filter algorithm that inputs the agent locations and outputs the plurality of first uncertainties corresponding to the plurality of agent locations. A plurality of predicted agent trajectories and potential trajectories corresponding to the predicted agent trajectories can be determined by inputting the plurality of agent locations at the plurality of time steps and the first uncertainties corresponding to the agent locations at the plurality of time steps to a variational autoencoder. The plurality of predicted agent trajectories and the potential trajectories corresponding to the predicted agent trajectories can be output.
Public/Granted literature
- US20230074293A1 OBJECT TRAJECTORY FORECASTING Public/Granted day:2023-03-09
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