DocumentCode
83453
Title
Multi-sensor-based online positive learning for drivable region detection
Author
Lee, Hongseok ; Kwak, K. ; Jo, Songhyun
Author_Institution
Dept. of Comput. Sci., KAIST, Daejeon, South Korea
Volume
50
Issue
20
fYear
2014
fDate
September 25 2014
Firstpage
1440
Lastpage
1442
Abstract
A new method for detecting drivable regions in an unrehearsed and unstructured outdoor environment using multi-sensor information is presented. To achieve this goal, two key methods are developed: (i) robust and effective feature definition using colour and geometry and (ii) online learning algorithm using positive samples for detecting drivable regions. With real data sets, the effect of sensor modality is evaluated and is compared the performance of the algorithm to a cluster-based approach.
Keywords
learning (artificial intelligence); navigation; sensor fusion; telecommunication computing; cluster-based approach; drivable region detection; multisensor information; multisensor-based online positive learning; navigation; online learning algorithm; sensor modality; unrehearsed outdoor environment; unstructured outdoor environment;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2014.1302
Filename
6908637
Link To Document