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Road detection using support vector machine based on online learning and evaluation
Beijing Institute of Technology, China.
Beijing Institute of Technology, China.
Beijing Institute of Technology, China.
Beijing Institute of Technology, China.
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2010 (English)In: 2010 IEEE intelligent vehicles symposium (IV 2010), Piscataway, N.J.: IEEE Press, 2010, 256-261 p.Conference paper, Published paper (Refereed)
Abstract [en]

Road detection is an important problem with application to driver assistance systems and autonomous, self-guided vehicles. The focus of this paper is on the problem of feature extraction and classification for front-view road detection. Specifically, we propose using Support Vector Machines (SVM) for road detection and effective approach for self-supervised online learning. The proposed road detection algorithm is capable of automatically updating the training data for online training which reduces the possibility of misclassifying road and non-road classes and improves the adaptability of the road detection algorithm. The algorithm presented here can also be seen as a novel framework for self-supervised online learning in the application of classification-based road detection algorithm on intelligent vehicle. ©2010 IEEE.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2010. 256-261 p.
Keyword [en]
Detection algorithms;Feature extraction;Machine learning;Mobile robots;Remotely operated vehicles;Road vehicles;Support vector machine classification;Support vector machines;Vehicle detection;Vehicle driving;driver information systems;feature extraction;image classification;object detection;support vector machines;vehicles;SVM;autonomous self-guided vehicles;driver assistance systems;feature extraction;front-view road detection;intelligent vehicle;road detection algorithm;self-supervised online learning;support vector machine;training data;
National Category
Robotics
Identifiers
URN: urn:nbn:se:hh:diva-20829DOI: 10.1109/IVS.2010.5548086Scopus ID: 2-s2.0-77956543066ISBN: 978-142447866-8 OAI: oai:DiVA.org:hh-20829DiVA: diva2:586705
Conference
2010 IEEE Intelligent Vehicles Symposium, IV 2010, La Jolla, CA., USA, 21-24 June, 2010
Available from: 2013-01-12 Created: 2013-01-12 Last updated: 2013-02-20Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf