DocumentCode
174419
Title
6-DoF velocity estimation using RGB-D camera based on optical flow
Author
Pyojin Kim ; Hyon Lim ; Kim, H.J.
Author_Institution
Sch. of Mech. & Aerosp. Eng., Seoul Nat. Univ., Seoul, South Korea
fYear
2014
fDate
5-8 Oct. 2014
Firstpage
4008
Lastpage
4013
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.
Keywords
Jacobian matrices; estimation theory; image colour analysis; image sequences; mobile robots; robot vision; velocity control; visual servoing; 6DoF velocity estimation; RGB-D benchmark dataset; RGB-D camera; autonomous control; depth images; estimation algorithm; image Jacobian matrix; image-based visual servoing; mobile robots; optical flow; velocity information; vision sensors; Cameras; Detectors; Estimation; Feature extraction; Jacobian matrices; Optical imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location
San Diego, CA
Type
conf
DOI
10.1109/SMC.2014.6974558
Filename
6974558
Link To Document