A High Fidelity Simulation Framework for Potential Safety Benefits Estimation of Cooperative Pedestrian Perception
| العنوان: | A High Fidelity Simulation Framework for Potential Safety Benefits Estimation of Cooperative Pedestrian Perception |
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| المؤلفون: | Chen, Longrui, Zhang, Yan, Jiang, Wenjie, Gong, Jiangtao, Shen, Jiahao, Chu, Mengdi, Li, Chuxuan, Pan, Yifeng, Shi, Yifeng, Luo, Nairui, Gao, Xu, Yuan, Jirui, Zhou, Guyue, Zhang, Yaqin |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, Computer Science - Robotics, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Robotics (cs.RO), Human-Computer Interaction (cs.HC) |
| الوصف: | This paper proposes a high-fidelity simulation framework that can estimate the potential safety benefits of vehicle-to-infrastructure (V2I) pedestrian safety strategies. This simulator can support cooperative perception algorithms in the loop by simulating the environmental conditions, traffic conditions, and pedestrian characteristics at the same time. Besides, the benefit estimation model applied in our framework can systematically quantify both the risk conflict (non-crash condition) and the severity of the pedestrian's injuries (crash condition). An experiment was conducted in this paper that built a digital twin of a crowded urban intersection in China. The result shows that our framework is efficient for safety benefit estimation of V2I pedestrian safety strategies. The content needs to be modified |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec2c2bd21cd5b342ca2173c0a6d0b4b2 http://arxiv.org/abs/2210.08731 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....ec2c2bd21cd5b342ca2173c0a6d0b4b2 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |