DocumentCode :
736571
Title :
An embedded visual SLAM algorithm based on Kinect and ORB features
Author :
Fen, Xu ; Zhen, Wang
Author_Institution :
Dept. of Automation, North-China University of Technology, Beijing 100144
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
6026
Lastpage :
6031
Abstract :
This paper introduces a visual SLAM system based on Kinect sensor and ORB features. The RGB image output by the Kinect sensor is processed and Oriented FAST and Rotated BRIEF (ORB) features are extracted for landmark detection. The depth information output by Kinect is processed and repaired using nearest neighbor repairing algorithm to achieve a complete depth map. Locality-sensitive hashing (LSH) algorithm is used during feature association process to improve the mapping speed. Experiments show that the visual SLAM system based on Kinect and ORB feature is feasible and has an acceptable accuracy, with a good potential for indoor robot navigation tasks in an unknown environment.
Keywords :
Decision support systems; Embedded Vision; Intelligent Robot; ORB Feature; Visual SLAM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
Type :
conf
DOI :
10.1109/ChiCC.2015.7260583
Filename :
7260583
Link To Document :
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