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Egomotion Estimation Under Planar Motion with an RGB-D Camera

  • Xuelan MuEmail author
  • Zhixin Hou
  • Yigong Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11935)

Abstract

In this paper, we propose a method for egomotion estimation of an indoor mobile robot under planar motion with an RGB-D camera. Our approach mainly deals with the corridor-like structured scenarios and uses the prior knowledge of the environment: when at least one vertical plane is detected using the depth data, egomotion is estimated with one normal of the vertical plane and one point; when there are no vertical planes, a 2-point homography-based algorithm using only point correspondences is presented for the egomotion estimation. The proposed method then is used in a frame-to-frame visual odometry framework. We evaluate our algorithm on the synthetic data and show the application on the real-world data. The experiments show that the proposed approach is efficient and robust enough for egomotion estimation in the Manhattan-like environments compared with the state-of-the-art methods.

Keywords

Egomotion estimation Indoor scene RGB-D camera Planar motion Visual odometry 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Computer Science and EngineeringNanjing University of Science and TechnologyNanjingPeople’s Republic of China

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