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Chapter

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Title

Combining photometric and depth data for lightweight and robust visual odometry

Authors

[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Year of publication

2013

Chapter type

paper

Publication language

english

Abstract

EN This paper presents a visual odometry system for mobile robots that works on RGB-D data from a Kinect/Xtion class sensor, and reports experimental results of evaluating this system on publicly available data. The aim of the presented research was to build a lightweight RGB-D visual odometry system, which can run in real-time on-board of such robots as walking machines that have limited computing resources. The proposed approach is based on tracking FAST keypoints over a sequence of RGB frames to establish correspondences between the photometric features in selected keyframes of the RGB-D data stream, and then on using the readily available depth data to map these features into 3D coordinates. The approach is tested on publicly available data, demonstrating satisfying performance with very low requirements as to the computing resources.

Pages (from - to)

125 - 130

DOI

10.1109/ECMR.2013.6698831

URL

https://ieeexplore.ieee.org/document/6698831

Book

European Conference on Mobile Robots (ECMR), Barcelona, Spain, 25-27 Sept. 2013

Presented on

6th European Conference on Mobile Robots 2013 (ECMR), 25-27.09.2013, Barcelona, Spain

Publication indexed in

WoS (15)

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