The Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China
Ke Wang, Gang Li, Junlan Chen, Yan Long, Tao Chen, Long Chen, Qin, Xia

TL;DR
This paper reviews the current state of autonomous vehicle technology in China, focusing on pedestrian safety, behavioral challenges, and the need for tailored solutions to improve AV adaptability to Chinese urban pedestrians.
Contribution
It provides a comprehensive analysis of Chinese pedestrian behaviors, evaluates current AV technologies, and highlights specific challenges and research directions for improving AV-pedestrian interactions in China.
Findings
AVs struggle with occluded pedestrians in urban environments.
Chinese pedestrians show low acceptance of autonomous vehicles.
Need for research on human-machine interaction and pedestrian detection.
Abstract
China is the world's largest automotive market and is ambitious for autonomous vehicles (AVs) development. As one of the key goals of AVs, pedestrian safety is an important issue in China. Despite the rapid development of driverless technologies in recent years, there is a lack of researches on the adaptability of AVs to pedestrians. To fill the gap, this study would discuss the adaptability of current driverless technologies to China urban pedestrians by reviewing the latest researches. The paper firstly analyzed typical Chinese pedestrian behaviors and summarized the safety demands of pedestrians for AVs through articles and open database data, which are worked as the evaluation criteria. Then, corresponding driverless technologies are carefully reviewed. Finally, the adaptability would be given combining the above analyses. Our review found that autonomous vehicles have trouble in…
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