Review of Intelligent Vehicle Driving Risk Assessment in Multi-Vehicle Interaction Scenarios
Review of Intelligent Vehicle Driving Risk Assessment in Multi-Vehicle Interaction Scenarios
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DOI：
10.3390/wevj14120348
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发表时间：
2023-12
影响因子：
2.3
通讯作者：
Xiaoxia Xiong;Shiya Zhang;Yuexia Chen
中科院分区：
文献类型：
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作者：
Xiaoxia Xiong;Shiya Zhang;Yuexia Chen
随着人工智能技术和智能制造技术的快速突破，汽车智能化已成为研究热点，并取得了很大进展。然而，人们对智能汽车仍然持怀疑态度，特别是在复杂的多车交互环境中驾驶时。多车相互作用通常涉及更多的车辆运动的不确定性和更高的驾驶风险，因此值得更多的研究关注和努力。针对复杂多车交互场景下的安全评估问题，总结了智能车辆相关数据采集方法、车辆交互机制和驾驶风险评估方法的研究现状。分析了现有评价方法的局限性和发展前景。本文的研究结果可为智能车辆在真实多车场景下及时、准确地进行驾驶风险评估提供参考，有助于提高智能车辆的安全驾驶技术水平。
With the rapid breakthroughs in artificial intelligence technology and intelligent manufacturing technology, automotive intelligence has become a research hotspot, and much progress has been made. However, a skeptical attitude is still held towards intelligent vehicles, especially when driving in a complex multi-vehicle interaction environment. The interaction among multi-vehicles generally involves more uncertainties in vehicle motion and entails higher driving risk, and thus deserves more research concerns and efforts. Targeting the safety assessment issue of complex multi-vehicle interaction scenarios, this article summarizes the existing literature on the relevant data collection methodologies, vehicle interaction mechanisms, and driving risk evaluation methods for intelligent vehicles. The limitations of the existing assessment methods and the prospects for their future development are analyzed. The results of this article can provide a reference for intelligent vehicles in terms of timely and accurate driving risk assessment in real-world multi-vehicle scenarios and help improve the safe driving technologies of intelligent vehicles.