基于光束平差法的双目视觉里程计研究

机器人自定位是实现机器人自动导航及其他智能行为的前提, 一种基于光束平差法的移动机器人双目视觉里程计可以有效地实现机器人自定位. 为此, 首先采用点模式匹配方法建立相邻图像之间的特征匹配关系, 根据立体视觉算法得到匹配点对的三维对应关系; 然后, 计算摄像机的相对运动参数, 并采用光束平差分段优化算法对其进行优化. 所提出的双目视觉里程计能够避免车轮半径变化、空转、打滑等对里程计测量精度的影响, 相对定位精度较高.

Research on binocular vision odometer based on bundle adjustment method

Self-localization is the premise of navigation and other intelligent behavior for mobile robot. This paper proposes a kind of binocular vision odometer based on the bundle adjustment method. The feature point set is matched based on the point pattern matching method, and the corresponding 3D coordinate is calculated through 3D reconstruction. Then, the relative motion parameter is optimized through segmenting the image sequence into several subsequences according to overlapped regions. The performance of the binocular vision odometer does not depend on the count of rotating shaft, so that the effect of wheel radius, idle running and wheel slipping on the measurement precision can be avoided, and the relative positioning accuracy is higher.