Stereo-based Multi-motion Visual Odometry for Mobile Robots
This addresses the need for robust pose estimation in mobile robots operating in dynamic environments, representing an incremental improvement over traditional visual odometry.
The paper tackles the problem of visual odometry being disturbed by moving objects in mobile robots by proposing a stereo-based multi-motion method that simultaneously estimates the poses of the robot and other moving objects, achieving 10 cm position and 3° orientation RMSE for each moving object.
With the development of computer vision, visual odometry is adopted by more and more mobile robots. However, we found that not only its own pose, but the poses of other moving objects are also crucial for the decision of the robot. In addition, the visual odometry will be greatly disturbed when a significant moving object appears. In this letter, a stereo-based multi-motion visual odometry method is proposed to acquire the poses of the robot and other moving objects. In order to obtain the poses simultaneously, a continuous motion segmentation module and a coordinate conversion module are applied to the traditional visual odometry pipeline. As a result, poses of all moving objects can be acquired and transformed into the ground coordinate system. The experimental results show that the proposed multi-motion visual odometry can effectively eliminate the influence of moving objects on the visual odometry, as well as achieve 10 cm in position and 3° in orientation RMSE (Root Mean Square Error) of each moving object.