Scene recognition with omnidirectional vision for topological map using lightweight adaptive descriptors

Abstract— Mobile robots rely on their ability of scene recognition to build a topological map of the environment and perform location-related tasks. In this paper, we describe a novel lightweight scene recognition method using an adaptive descriptor which is based on color features and geometric information for omnidirectional vision. Our method enables the robot to add nodes to a topological map automatically and solve the localization problem of mobile robot in realtime. The descriptor of a scene is extracted in the YUV color space and its dimension is adaptive depending on the segmentation result of the panoramic image. Furthermore, the descriptor is invariant to rotation and slight changes of illumination. The robustness of the scene matching and recognition is tested through real experiments in a dynamic indoor environment. The experiment is carried out on a mobile robot equipped with an omnidirectional camera. In our tests, the average processing time is 30 ms for each frame in...

• Type: Conference
• Year: 2009
• Where: IROS
• Authors: Ming Liu, Davide Scaramuzza, Cédric Pradalier, Roland Siegwart, Qijun Chen
• Keywords: IROS 2009, Mobile Robot, Robotics, Scene Recognition, Topological Map