基于D-S证据理论的地面灰度检测

Ground surface gray detection based on D-S evidence theory

提出将D-S证据理论应用于智能寻迹机器人的地面灰度检测,并给出了其时空融合结构.通过对D-S证据理论进行改进,同时利用未知前提的先验概率来改善系统决策的模糊性,进一步降低了系统空间和时间的消耗,减小了计算量,有效地改善了系统的稳定性和寻迹的准确性.通过融合检测算例验证了所提方法的有效性.

The D-S(Dempster-Shafer) evidence is proposed for ground surface gray detection of track auto-searching robot,and the structure of its time and space integration is given.By improving the gray detection algorithm based on D-S evidence theory and obtaining the priori probability based on unknown prerequisite,the computing load and the expense of space and time for track auto-searching have been further reduced.Thus,the stability of the system and the accuracy of track searching have been effectively improved...