基于DBSCAN的变电站智能巡检机器人激光导航算法改进

Improved Laser Navigation Algorithm for Substation Intelligent Inspection Robot Based on DBSCAN

预置地图的激光导航是目前变电站智能巡检机器人较为常用的一种导航方式,其优点在于维护成本低,但是容易受到异物的干扰。DBSCAN聚类算法可以正确区分噪声点,利用这个特性,准确区分了变电站内的异物,可以有效提高激光导航的可靠性。

Preset map laser navigation is a common navigation method for substation intelligent patrol robots.Its advantage lies in its low maintenance cost,but it is vulnerable to foreign objects.The DBSCAN clustering algorithm can correctly distinguish the noise points and this feature can accurately distinguish the foreign materials in the substation,which can effectively improve the reliability of laser navigation.