网联车辆环境中的协同避撞
Cooperative Collision Avoidance in a Connected Vehicle Environment
AI总结：
本文面向网联车辆安全，利用V2X通信设计可实时运行的协同避撞与决策算法，并在CAV HIL仿真器的四类碰撞风险场景中完成实时验证。
摘要：
网联车辆（CV）技术是学术界和工业界研究最密集的领域之一。车对车（V2V）、车对基础设施（V2I）以及车对行人（V2P）通信能力能够实现关键的态势感知。在某些情况下，由于“非视距”（NLOS）或极端恶劣天气等外部条件，这些车辆通信安全能力可以弥补其他传感器安全能力的不足。网联车辆将帮助城市和州减少交通拥堵、提高燃油效率，并提升车辆与行人的安全性。在道路上，汽车将能够相互通信，自动传输速度、位置和方向等数据，并在碰撞似乎迫在眉睫时相互发送警报。本文的重点是为网联车辆实现协同避撞（CCA）。该研究利用车联万物（V2X）通信技术，为与其他车辆通信的车辆创建了一种可实时实施的避撞算法以及决策机制。研究在具有成本效益的网联自动驾驶车辆（CAV）硬件在环（HIL）仿真器上模拟了四种不同的碰撞风险环境，以使用真实电子控制和通信硬件实时测试整体算法。
英文摘要：
Connected vehicle (CV) technology is among the most heavily researched areas in both the academia and industry. The vehicle to vehicle (V2V), vehicle to infrastructure (V2I) and vehicle to pedestrian (V2P) communication capabilities enable critical situational awareness. In some cases, these vehicle communication safety capabilities can overcome the shortcomings of other sensor safety capabilities because of external conditions such as 'No Line of Sight' (NLOS) or very harsh weather conditions. Connected vehicles will help cities and states reduce traffic congestion, improve fuel efficiency and improve the safety of the vehicles and pedestrians. On the road, cars will be able to communicate with one another, automatically transmitting data such as speed, position, and direction, and send alerts to each other if a crash seems imminent. The main focus of this paper is the implementation of Cooperative Collision Avoidance (CCA) for connected vehicles. It leverages the Vehicle to Everything (V2X) communication technology to create a real-time implementable collision avoidance algorithm along with decision-making for a vehicle that communicates with other vehicles. Four distinct collision risk environments are simulated on a cost effective Connected Autonomous Vehicle (CAV) Hardware in the Loop (HIL) simulator to test the overall algorithm in real-time with real electronic control and communication hardware.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
