论文部分内容阅读
在视觉导航标志线跟踪的智能车辆上加超声波传感器进行避障。智能车辆通过CCD摄像头获取的信息可以跟踪路面标志线行驶。用D-S证据理论和模糊处理的方法对多个超声波传感器的信息进行融合。包括了超声系统的建模和信息的融合。仿真结果给出了在不同环境下,智能车辆的避障运行轨迹,表明该信息处理和融合方法能有效判断障碍物,获得良好的避障导航效果。
Observe obstacle avoidance by adding ultrasonic sensors on the intelligent vehicles tracked by the visual navigation marks. Intelligent vehicles through the CCD camera to obtain the information can track the pavement mark line. The information of multiple ultrasonic sensors is fused by D-S evidence theory and fuzzy processing. Including the ultrasound system modeling and information fusion. The simulation result shows the trajectory of the obstacle avoidance of intelligent vehicles in different environments, which shows that this information processing and fusion method can effectively judge the obstacle and obtain a good obstacle avoidance navigation effect.