Invention Grant
- Patent Title: Generative adversarial network enriched driving simulation
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Application No.: US16043706Application Date: 2018-07-24
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Publication No.: US10768629B2Publication Date: 2020-09-08
- Inventor: Hao Song , Jun Peng , Nengxiu Deng , Sinan Xiao , Tao Qin , Tiancheng Lou , Tianyi Li , Xiang Yu , Yubo Zhang
- Applicant: Pony AI Inc.
- Applicant Address: KY Grand Cayman
- Assignee: Pony AI Inc.
- Current Assignee: Pony AI Inc.
- Current Assignee Address: KY Grand Cayman
- Agency: Sheppard Mullin Richter & Hampton LLP
- Main IPC: G05D1/00
- IPC: G05D1/00 ; G05D1/02 ; G06N3/04 ; G06N3/08 ; B60W50/06 ; G06N20/00 ; B60W50/00

Abstract:
A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.
Public/Granted literature
- US20200033866A1 GENERATIVE ADVERSARIAL NETWORK ENRICHED DRIVING SIMULATION Public/Granted day:2020-01-30
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