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针对传统传感器存在检测精度低、稳定性差等问题,提出了激光传感器的机器人障碍物检测方法。首先采用视觉传感器采集机器人的前方环境信息,对障碍物图像实现分割、二值化操作,并将宽高限制在易辨识范围内,获取障碍物的粗检测结果,然后采用激光传感器收集障碍物数据,得到障碍物有价值范围特征,通过最小距离法得到障碍物左右拐点获取障碍物与机器人的距离信息,完成机器人障碍物的精确检测,最后仿真实验结果表明,该方法可以提高障碍物的检测精度,而且具有较强的鲁棒性。
Aiming at the problems of low accuracy and poor stability of the traditional sensors, a method of robot obstacle detection based on laser sensors is proposed. Firstly, the visual sensor is used to collect the front environmental information of the robot, to segment and binarize the obstacle image, and to limit the width and height to the range of easy identification, to obtain the rough detection result of the obstacle, then to collect the obstacle data with the laser sensor , The value range of the obstacle is obtained, and the distance information between the obstacle and the robot is obtained by the minimum distance method, and the robot obstacle is accurately detected. Finally, the simulation results show that this method can improve the detection accuracy of the obstacle , But also has strong robustness.