一种基于结构特征的单目视觉惯性里程计

A monocular visual inertial odometry based on structural features

针对传统的仅依赖点特征的视觉里程计鲁棒性较差的问题,提出了一种结合点特征、线特征以及结构特征的视觉惯性里程计。结构特征是一个满足曼哈顿世界假设的正交基,可用于描述结构物体包含的平行与正交信息。结构特征的引入为视觉惯性里程计提供了一个全局的约束,可有效减少旋转误差的累计。与此同时,为了保证引入结构特征后系统的实时性,基于线特征匹配关系以及重力方向,提出了一种鲁棒且高效的结构特征提取算法。实验结果表明,相比现有的开源系统,所提出的系统在保证实时性的同时,有效减少了旋转累计误差。

In response to the problem of poor robustness of traditional visual odometers that only rely on point features,a monocular visual inertial odometry that utilize point features,line features and structural features are deduced.The structural feature is an orthonormal basis that satisfy the Manhattan world hypothesis.This feature contains the parallel and orthogonal information of the structural object.The introduction of structural feature provide an overall constrain for visual inertial odometry and can reduce the accumulative error of rotation effectively.Meanwhile,to ensure the real-time performance of the system after the introduction of structural features,a robust and efficient algorithm is proposed to extract structural feature,which is based on the matching relationship of line features and the direction of gravity vector.The experimental results demonstrate that,compared with the existing open source systems,the proposed system can effectively reduce the accumulated rotation error while maintaining the real-time performance.