红外与激光工程, 2020, 49 (7): 20190507, 网络出版: 2020-08-19  

天气条件对车载红外辅助驾驶性能的影响

Influences of weather conditions on vehicular infrared assistant driving performance
作者单位
中国华阴兵器试验中心,陕西 华阴 714200
摘要
综合分析车载红外辅助驾驶安全制动过程、红外探测静态性能模型和动态性能模型,建立了辅助驾驶安全行车视距模型;分析了辅助驾驶最大安全车速与路况环境、红外探测性能之间的关系,发现其主要与滑动附着系数和探测距离相关;通过红外探测距离的修正计算,对夜间最大安全车速进行了仿真分析,结果表明良好天气条件下其主要受目标背景温差的影响;以雾天和雨天为重点进行了实例分析,结果表明:雾天主要对探测距离形成影响,特别是能见度小于1 km时影响加剧,能见度500 m时最大安全车速可控制在21 ~25 km/h,雨天对探测距离和滑动附着系数均会形成影响,辅助驾驶应以红外识别条件下的最大安全车速控制为主,降雨强度50 mm/h时最大安全车速可控制在12 ~14 km/h。
Abstract
Based on comprehensive analysis of vehicle infrared assisted driving safety braking process, infrared static detection model and dynamic detection model, the model of visual range for assistant driving safety was established. The relationship between maximum safe speed, road condition, infrared detection performance was analyzed. It is found that it is mainly related to sliding adhesion coefficient and detection distance. Through the correction calculation of infrared detection distance, the maximum safe speed at night was simulated. The results show that it is mainly affected by the temperature difference between target and background. Emphasis is laid on foggy and rainy weather for example analysis. The results show that foggy weather mainly affects the detection distance, especially when the visibility is less than 1 km, and the maximum safe speed need be controlled at 21-25 km/h when the visibility is 5 km. Rainy weather will affect the sliding adhesion coefficient and detection distance. The maximum safe speed control under infrared recognition is the main method for assistant driving. When rainfall intensity is 50 mm/h, the maximum safe speed need be controlled at 12-14 km/h.

王红培, 栾光琦, 田超, 王佳笑, 杨鹏, 孙明昭. 天气条件对车载红外辅助驾驶性能的影响[J]. 红外与激光工程, 2020, 49(7): 20190507. Hongpei Wang, Guangqi Luan, Chao Tian, Jiaxiao Wang, Peng Yang, Mingzhao Sun. Influences of weather conditions on vehicular infrared assistant driving performance[J]. Infrared and Laser Engineering, 2020, 49(7): 20190507.

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