A
Sensor Fusion Layer to Cope with Reduced Visibility in SLAM
Journal of Intelligent and Robotic
Systems, 80(3), pp. 401-422, Springer, Dec. 2015. DOI: 10.1007/s10846-015-0180-8
Mapping
and navigating with mobile robots in scenarios with reduced visibility, e.g.
due to smoke, dust, or fog, is still a big challenge nowadays. In spite of the
tremendous advance on Simultaneous Localization and Mapping (SLAM) techniques
for the past decade, most of current algorithms fail in those environments
because they usually rely on optical sensors providing dense range data, e.g.
laser range finders, stereo vision, LIDARs, RGB-D, etc., whose measurement
process is highly disturbed by particles of smoke, dust, or steam. This article
addresses the problem of performing SLAM under reduced visibility conditions by
proposing a sensor fusion layer which takes advantage from complementary
characteristics between a laser range finder (LRF) and an array of sonars. This
sensor fusion layer is ultimately used with a state-of-the-art SLAM technique
to be resilient in scenarios where visibility cannot be assumed at all times.
Special attention is given to mapping using commercial off-the-shelf (COTS)
sensors, namely arrays of sonars which, being usually available in robotic
platforms, raise technical issues that were investigated in the course of this
work. Two sensor fusion methods, a heuristic method and a fuzzy logic-based
method, are presented and discussed, corresponding to different stages of the
research work conducted. The experimental validation of both methods with two
different mobile robot platforms in smoky indoor scenarios showed that they
provide a robust solution, using only COTS sensors, for adequately coping with
reduced visibility in the SLAM process, thus decreasing significantly its
impact in the mapping and localization results obtained.
Keywords ─ SLAM; reduced visibility; sensor
fusion; ROS.
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@ARTICLE(Santos_et_al_15,
AUTHOR
= "J. M. Santos, M. S. Couceiro, D. Portugal, and
R. P. Rocha",
TITLE = "A Sensor Fusion Layer to Cope with Reduced Visibility in SLAM",
JOURNAL = "Journal of Intelligent and Robotic Systems",
VOLUME = "80",
NUMBER = "3",
YEAR = "2015",
MONTH = "Dec.",
PAGES = "401-422"
)
Last
update: 21/12/2015
Copyright ©
2015 Rui P. Rocha, Dept. of Electrical and Computer Engineering,