Invention Grant
- Patent Title: Neural network based modeling and simulation of non-stationary traffic objects for testing and development of autonomous vehicle systems
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Application No.: US16709790Application Date: 2019-12-10
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Publication No.: US11772663B2Publication Date: 2023-10-03
- Inventor: Samuel English Anthony
- Applicant: Perceptive Automata, Inc.
- Applicant Address: US MA Somerville
- Assignee: PERCEPTIVE AUTOMATA, INC.
- Current Assignee: PERCEPTIVE AUTOMATA, INC.
- Current Assignee Address: US MA Somerville
- Agency: FENWICK & WEST LLP
- Main IPC: B60W50/00
- IPC: B60W50/00 ; G05D1/00 ; B60W40/04 ; B60W60/00 ; G06N3/08 ; G08G1/01 ; G06V20/56

Abstract:
A system performs modeling and simulation of non-stationary traffic entities for testing and development of modules used in an autonomous vehicle system. The system uses a machine learning based model that predicts hidden context attributes for traffic entities that may be encountered by a vehicle in traffic. The system generates simulation data for testing and development of modules that help navigate autonomous vehicles. The generated simulation data may be image or video data including representations of traffic entities, for example, pedestrians, bicyclists, and other vehicles. The system may generate simulation data using generative adversarial neural networks.
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