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This work is supported by National Natural Science Foundation of China, Science Fund for Creative Research Groups (52221005). Corresponding author: Jiawei Wang and Keqiang Li.Jianghong Dong, Chunying Yang, Mengchi Cai, Chaoyi Chen, Qing Xu, Jianqiang Wang and Keqiang Li are with the School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China. (djh20@mails.tsinghua.edu.cn, ycyacademic@gmail.com, {caimengchi,chency2023, qingxu,wjqlws,likq}@tsinghua.edu.cn) Jiawei Wang was with the School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China. He is now with the Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA. (jiawe@umich.edu)
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Human unpredictability is now a feature, not a bug: a mixed-reality testing framework leverages human interaction to generate high-quality corner cases for vehicle-infrastructure cooperation systems.
A new mixed reality testbed lets you plug real human drivers into a CAV simulation, offering unprecedented realism for testing autonomous vehicle interactions.
