基于直线特征提取匹配搜救机器人的同步定位与地图构建

针对搜救机器人在灾后特征环境下同步定位与地图构建问题,提出了改进动态阈值分裂合并算法,与固定阈值算法相比提高了直线拟合的准确性。推导出匹配条件参数,通过比较始末点距离解决了误匹配,提高了匹配精度。在此基础上,进行全局定位计算。利用最小二乘法进行滤波处理,提高了定位精度。通过仿真与模拟现场实验表明,本文方法能使提取的直线更准确地反映实际地形环境,完成二维栅格地图的实时创建任务。

Rescue robot simultaneous localization and mapping based on extraction and matching of line features

To solve the problem of simultaneous localization and mapping by rescue robot in line feature post-disaster environment,an improved dynamic threshold algorithm is proposed based on the split-and-merge principle.Compared with the fixed threshold method,the proposed method improves the accuracy of straight line fitting.The parameters of matching conditions and state matrix are deduced.Mismatching problem can be solved by calculating and comparing the distance between initial point and end point,thus improving the accuracy of line feature matching.On this basis,global location calculation is carried out and least square filter is employed to improve accuracy of location.The simulation and experiment demonstrate that the proposed method has high accuracy to reflect the actual terrain environment and the ability of real-time mapping.