Springer Nature
Smart Innovation, Systems and Technologies
,  volume 187 ,  pages 357-369

Laser rangefinder and monocular camera data fusion for human-following algorithm by pmb-2 mobile robot in simulated gazebo environment

Publication type: Book Chapter
Publication date: 2020-09-02
Springer Nature
scimago Q4
SJR: 0.163
CiteScore: 1.2
Impact factor: —
ISSN: 21903018, 21903026
Abstract
The paper presents a human-following algorithm for an autonomous mobile robot, which is equipped with a 2D laser rangefinder (LRF) and a monocular camera. As a rule, quality of a human tracking by a LRF is reduced in cluttered environments. We used a monocular camera to increase a human-tracking reliability. In contradiction with popular human-tracking algorithms that apply only a 2D LRF, our algorithm does not impose any restrictions on a type of human’s clothes, and our approach does not require a human head and an upper body to be located within a monocular camera field of view. Several human trackers and variations of our algorithm were compared in the Gazebo virtual experiments within a free corridor and an office room environment. The virtual experiments demonstrated that our method successfully improved a human-tracking quality being employed with the human-following virtual PMB-2 robot.
Found 
Found 

Top-30

Journals

1
2
Lecture Notes in Computer Science
Lecture Notes in Computer Science, 2, 20%
Lecture Notes in Computer Science
2 publications, 20%
Sensors
Sensors, 1, 10%
Sensors
1 publication, 10%
Artificial Life and Robotics
Artificial Life and Robotics, 1, 10%
Artificial Life and Robotics
1 publication, 10%
IEEE Access
IEEE Access, 1, 10%
IEEE Access
1 publication, 10%
1
2

Publishers

1
2
3
4
5
6
Institute of Electrical and Electronics Engineers (IEEE)
Institute of Electrical and Electronics Engineers (IEEE), 6, 60%
Institute of Electrical and Electronics Engineers (IEEE)
6 publications, 60%
Springer Nature
Springer Nature, 3, 30%
Springer Nature
3 publications, 30%
MDPI
MDPI, 1, 10%
MDPI
1 publication, 10%
1
2
3
4
5
6
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
10
Share
Cite this
GOST |
Cite this
GOST Copy
Chebotareva E. et al. Laser rangefinder and monocular camera data fusion for human-following algorithm by pmb-2 mobile robot in simulated gazebo environment // Smart Innovation, Systems and Technologies. 2020. Vol. 187. pp. 357-369.
GOST all authors (up to 50) Copy
Chebotareva E., Hsia K., Yakovlev K., Magid E. Laser rangefinder and monocular camera data fusion for human-following algorithm by pmb-2 mobile robot in simulated gazebo environment // Smart Innovation, Systems and Technologies. 2020. Vol. 187. pp. 357-369.
RIS |
Cite this
RIS Copy
TY - GENERIC
DO - 10.1007/978-981-15-5580-0_29
UR - https://doi.org/10.1007/978-981-15-5580-0_29
TI - Laser rangefinder and monocular camera data fusion for human-following algorithm by pmb-2 mobile robot in simulated gazebo environment
T2 - Smart Innovation, Systems and Technologies
AU - Chebotareva, Elvira
AU - Hsia, Kuo-Hsien
AU - Yakovlev, Konstantin
AU - Magid, Evgeni
PY - 2020
DA - 2020/09/02
PB - Springer Nature
SP - 357-369
VL - 187
SN - 2190-3018
SN - 2190-3026
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2020_Chebotareva,
author = {Elvira Chebotareva and Kuo-Hsien Hsia and Konstantin Yakovlev and Evgeni Magid},
title = {Laser rangefinder and monocular camera data fusion for human-following algorithm by pmb-2 mobile robot in simulated gazebo environment},
publisher = {Springer Nature},
year = {2020},
volume = {187},
pages = {357--369},
month = {sep}
}