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A Study on Scenario Generalization and Optimization for ADS Automotive Data of China (Tianjin) Company, Limited
- Format:
- Book
- Conference/Event
- Author/Creator:
- Zhou, Bolin, author.
- Conference Name:
- SAE 2021 Intelligent and Connected Vehicles Symposium Part II (2021-11-04 : Chongqing, China)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2022
- Summary:
- The development of automated driving systems and functions requires a tremendous amount of testing. The function oriented and data driven approaches made a huge leap forward in the field. As one of the major markets for the automotive industry, China is also evolving as a major player. Any company in any country can benefit from simulation testing with a free standard-suite focusing on simulation and beyond. The complexity of scenarios across the globe with their divergence road users and wide-ranging parameters creates the need for powerful and broadly-applied standards in the future. In this paper, it provided a method with the given cut in examples on how this procedure could be implemented and used in a broader manner
- Notes:
- Vendor supplied data
- Publisher Number:
- 2022-01-7007
- Access Restriction:
- Restricted for use by site license
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