Work

Reproduction of stylized lane-changing scenarios based on natural driving data

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE)

DOI: 10.1109/iceace63551.2024.10898805

Authors: Huitong Fu, Zhanqi Li, Zehao Ning, Zhonghai Liu, Quanzhou Liu, Lei Zhang, Tianlu Liu, Shuyong Wang

Institution: China Automotive Technology and Research Center

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: Research and Development

OpenAlex ID: W4408100770

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