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Safety Speed Assessment for Driving in Foggy Environment Based on Visibility and Vehicle Brake Performance

机译:基于可见性和车辆制动性能的雾化环境安全速度评估

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Studies show that driving in foggy environment is a security risk, and when driving in foggy environment, the drivers are easy to accelerate unconsciously. The safety information prompted to the driver is mainly from fog lights, road warning signs and the traffic radio. In order to increase the quality of the safety tips to prevent drivers from unintended acceleration and ensure the security of driving in foggy environment, the study proposes a safety speed assessment method for driving in foggy environment, combining the information of driving environment, vehicle’s speed and the multimedia system. The method uses camera which is installed on the front windshield pillar to collect the image about the environment, and uses the dark channel prior theory to calculate the visibility. And by using the environment visibility, the safety speed can be calculated based on the kinematics theory. And it is appropriate for vehicles which have different braking performance. If the vehicle speed is faster than the safety value, the system will alert the driver to pay attention to the current speed. The method is verified by the semi-physical simulation. The results show that the method can effectively prompt the safety speed to ensure the safety of driving in 50-300m low visibility environment. Especially when the visibility is about 50m, the system can warning validly and drivers can make vehicle speed in a safety range, which is helpful for the traffic safety. If combined with the vehicle network, it would greatly improve the accuracy.
机译:研究表明,在有雾的环境中驾驶是一种安全风险,并且在百雾环境中驾驶时,司机很容易无意识加速。提示驾驶员的安全信息主要来自雾灯,道路警告标志和交通无线电。为了提高安全提示的质量,防止驾驶员免于意外的加速并确保在有雾环境中驾驶的安全性,研究提出了一种在有雾环境中驾驶的安全速度评估方法,结合了驾驶环境,车辆速度的信息多媒体系统。该方法使用安装在前挡风玻璃支柱上的摄像头,以收集有关环境的图像,并使用暗通道的先前理论来计算可见性。并且通过使用环境可见性,可以基于运动学理论来计算安全速度。它适用于具有不同制动性能的车辆。如果车速比安全值快,系统会提醒驾驶员注意当前速度。该方法通过半物理仿真验证。结果表明,该方法可以有效提示安全速度,以确保在50-300米的低可见环境中驱动的安全性。特别是当可见性约为50米时,系统可以有效地警告,驾驶员可以在安全范围内进行车辆速度,这有助于交通安全。如果结合车辆网络,它将大大提高准确性。

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