Work

AuthSim: Toward Authentic and Effective Safety-Critical Scenario Generation for Autonomous Driving Tests

Year: 2025

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2025.3586608

Authors: Yukuan Yang, Xucheng Lu, Zhili Zhang, Zepeng Wu, Guoqi Li, Lingzhong Meng, Zhiming Ding, Yunzhi Xue

Institutions: Chinese Academy of Sciences, Institute of Software, Beijing University of Posts and Telecommunications, Institute of Automation

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Yunnan Province

Awards: G3766337052, G4758827337

OpenAlex ID: W4413553311

FWCI: 0.993

Cites: 49

Cited by: 4

Related to: 10