TY - JOUR
T1 - Mobile robot self-localization system using single webcam distance measurement technology in indoor environments
AU - Li, I. Hsum
AU - Chen, Ming Chang
AU - Wang, Wei Yen
AU - Su, Shun Feng
AU - Lai, To Wen
PY - 2014/1/27
Y1 - 2014/1/27
N2 - A single-webcam distance measurement technique for indoor robot localization is proposed in this paper. The proposed localization technique uses webcams that are available in an existing surveillance environment. The developed image-based distance measurement system (IBDMS) and parallel lines distance measurement system (PLDMS) have two merits. Firstly, only one webcam is required for estimating the distance. Secondly, the set-up of IBDMS and PLDMS is easy, which only one known-dimension rectangle pattern is needed, i.e., a ground tile. Some common and simple image processing techniques, i.e., background subtraction are used to capture the robot in real time. Thus, for the purposes of indoor robot localization, the proposed method does not need to use expensive high-resolution webcams and complicated pattern recognition methods but just few simple estimating formulas. From the experimental results, the proposed robot localization method is reliable and effective in an indoor environment.
AB - A single-webcam distance measurement technique for indoor robot localization is proposed in this paper. The proposed localization technique uses webcams that are available in an existing surveillance environment. The developed image-based distance measurement system (IBDMS) and parallel lines distance measurement system (PLDMS) have two merits. Firstly, only one webcam is required for estimating the distance. Secondly, the set-up of IBDMS and PLDMS is easy, which only one known-dimension rectangle pattern is needed, i.e., a ground tile. Some common and simple image processing techniques, i.e., background subtraction are used to capture the robot in real time. Thus, for the purposes of indoor robot localization, the proposed method does not need to use expensive high-resolution webcams and complicated pattern recognition methods but just few simple estimating formulas. From the experimental results, the proposed robot localization method is reliable and effective in an indoor environment.
KW - Image-based distance measurement system
KW - Indoor robot localization
KW - Parallel lines distance measurement system
UR - http://www.scopus.com/inward/record.url?scp=84893115641&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893115641&partnerID=8YFLogxK
U2 - 10.3390/s140202089
DO - 10.3390/s140202089
M3 - Article
AN - SCOPUS:84893115641
SN - 1424-8220
VL - 14
SP - 2089
EP - 2109
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
IS - 2
ER -