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6-DoF velocity estimation using RGB-D camera based on optical flow

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Author(s)
Kim, PyojinLim, HyonKim, H. Jin
Type
Conference Paper
Citation
2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, pp.4008 - 4013
Issued Date
2014-10-05
Abstract
In this paper, we suggest a new 6-DoF velocity estimation algorithm using RGB and depth images. Autonomous control of mobile robots requires their velocity information. There exist numerous researches on estimating and measuring the velocity. However, more investigations are needed related to vision sensors and depth image. In this work, we propose an algorithm for velocity estimation with an RGB-D sensor based on image jacobian matrix usually used in image-based visual servoing. We validate the performance of the proposed estimation algorithm in various environments with the RGB-D benchmark dataset. The velocity estimation results show the high quality of estimated 6-DoF velocity compared to the ground truth velocity. © 2014 IEEE.
Publisher
Institute of Electrical and Electronics Engineers Inc.
Conference Place
US
San Diego
URI
https://scholar.gist.ac.kr/handle/local/34117
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