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Authors
Zheng, Chen
Li, Pengfei
Jin, Bu
You, Shanhe
Chan, Ka I
Zhang, Ya-Qin
Zhou, Guyue
Gong, Jiangtao
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Funding
Funding for this research was provided by:
National Science and Technology Infrastructure Program (2023YFB2504400)
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Article History
Received: 15 August 2024
Accepted: 1 February 2026
First Online: 12 February 2026
Competing interests
: Institute for AI Industry Research (AIR), Tsinghua University, has filed a patent application with the China National Intellectual Property Administration (CNIPA) related to the work reported in this manuscript. The application, titled “Method and Apparatus for Autonomous Driving Decision-Making Based on Human Visual Attention Distribution Enhancement” (Application No. 202410785548.5), is currently pending having passed preliminary examination as of February 9, 2026. The inventors listed on the application include C.Z., P.L., and J.G. This patent covers the core methodology presented in this study, specifically the framework for generating pseudo human attention and incorporating these attention priors into autonomous driving decision-making algorithms to enhance performance. The claims of this patent are strictly specific to autonomous decision-making in driving and do not extend to the application of this approach in other domains.
