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A method for following unmarked roads
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
2005 (English)In: 2005 IEEE Intelligent Vehicles Symposium Proceedings, NEW YORK, NY: IEEE , 2005, 650-655 p.Conference paper, Published paper (Refereed)
Abstract [en]

Road-following for ground vehicles has been widely studied and the solutions normally tracks line markings or a salient road edge. Most of the presented approaches are thus based on geometric or spectral models and does a fit of image data to the model to ensure robustness. For operation on unmarked roads under highly varying weather and light conditions a strategy is presented which is based on a probabilistic generative model. The method is evaluated on a number of test scenes and compared to well known methods from the literature.

Place, publisher, year, edition, pages
NEW YORK, NY: IEEE , 2005. 650-655 p.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-43144DOI: 10.1109/IVS.2005.1505177ISI: 000235518700108Scopus ID: 2-s2.0-33745935403ISBN: 0-7803-8961-1 (print)OAI: oai:DiVA.org:kth-43144DiVA: diva2:448231
Conference
IEEE Intelligent Vechicles Symposium. Las Vegas, NV. JUN 06-08, 2005
Note
QC 20111014Available from: 2011-10-14 Created: 2011-10-13 Last updated: 2011-10-14Bibliographically approved

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Ramström, OlaChristensen, Henrik I.
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Citation style
  • apa
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