基于立体视觉的月球车运动估计算法

为了满足月球车自主导航的需要,提出了一种仅仅依靠月球车视觉系统提供的图像序列实现月球车六自由度运动状态估算的定位方法。对尺度不变特征转换点(Scale invariantfeature transform,SIFT)特征点跟踪匹配方法和运动参数估计方法进行了研究。在特征跟踪匹配时,引入了两个新的匹配约束条件以准确建立月球车运动前后环境特征点的对应关系。根据获得的特征点对应关系求解月球车的运动参数时,提出了一种鲁棒的估计方法,即首先用随机抽样一致性(Random sampling consensus,RANSCN)结合单位四元数方法剔除数据中的误匹配点,并求出车体运动参数的预估值,然后以此预估值并利用Levenberg-Marquardt非线性优化算法对运动参数进行精确求解。最后,通过模拟场地试验验证了该运动参数估计算法的有效性。

Stereovision based ego-motion estimation algorithm for lunar rover

A new 6-DoF state ego-motion estimation algorithm was presented based on the lunar rover stereovision image sequence to realize the autonomous navigation of the rover.A scale invariant feature transform SIFT feature tracking and matching method was proposed and studied.2 new matching and restraint conditions were introduced to establish the accurate environment feature correspondence before and after the motion of the rover.A robust estimation technique was proposed to solve the motion parameters of the rov...