Örebro Studies in Technology 68 I
ÖREBRO 2016 2016RA
FA
EL
M
OS
BER
GER
V
is
io
n-b
as
ed H
um
an De
tec
tio
n f
ro
m M
ob
ile Ma
ch
in
ery .
..
issn 1650-8580 isbn 978-91-7529-126-0Vision-based Human Detection
from Mobile Machinery
in Industrial Environments
rafael mosberger
Computer Science
rafael mosberger received his BSc degree (2010) and
MSc degree (2012) in Microengineering from the Swiss Federal Institute of Technology in Lausanne (EPFL) in Switzerland. From 2012 to 2016 he has been a doctoral stu-dent at the Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University in Sweden. During winter 2013 he spent a period of five months as a guest researcher with the Computer Vision Group at RWTH Aachen, Germany. His research interests include computer vision and machine learning with a particular focus on human detection and its applications in mobile robotics.
The problem addressed in this thesis is the detection, localisation and tracking of human workers from mobile industrial machinery using a customised vision system developed at Örebro University. The demand for such sensor systems originates from the fact that many industrial environments represent work spaces that are shared between humans and mobile machinery and where accidents frequently result in serious injuries and fatalities. Addressing this safety issue, the thesis presents a collection of papers which introduce, ana-lyse and evaluate a novel vision-based method for sensing humans equipped with protective high-visibility garments in the neighbourhood of manned or unmanned industrial vehicles. Strong focus has been placed on the industrial applicability of the approach, and the work therefore includes an extensive experimental evaluation in a number of different real-world indoor and out-door work environments.
