Paper Info
Title
A computer vision-aided motion sensing algorithm for mobile robot's indoor navigation
Abstract
This paper presents the design and analysis of a computer vision-aided motion sensing algorithm for wheeled mobile robot's indoor navigation. The algorithm is realized using two vision cameras attached on a wheeled mobile robot. The first camera is positioned at front-looking direction while the second camera is positioned at downward-looking direction. An algorithm is developed to process the images acquired from the cameras to yield the mobile robot's positions and orientations. The proposed algorithm is implemented on a wheeled mobile robot for real-world effectiveness testing. Results are compared and shown the accuracy of the proposed algorithm. At the end of the paper, an artificial landmark approach is introduced to improve the navigation efficiency. Future work involved implementing the proposed artificial landmark for indoor navigation applications with minimized accumulated errors.
Year
DOI
Venue
2016
10.1109/AMC.2016.7496383
2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)
Keywords
Field
DocType
Vision-Aided Navigation,Indoor Motion Sensing,Mobile Robot
Robot control,Computer vision,Computer science,Algorithm,Artificial intelligence,Mobile robot navigation,Robot vision systems,Landmark,Mobile robot,Mobile telephony,Motion sensing
Conference
ISSN
Citations 
PageRank 
1943-6572
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
mamadou diop1124.88
Lee-Yeng Ong221.73
Tien Sze Lim363.11
Lim Chot Hun463.11