Road sides recognition in non-structured environments by vision

The present communication deals with a vision system designed to detect and track roadsides on non-marked roads or paths. The initial detection method, mainly adapted to marked roads and briefly presented in this article, is based upon a model driven algorithm. This article presents the major improv...

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Bibliographic Details
Published inIEEE Intelligent Vehicles Symposium, 2004 pp. 329 - 334
Main Authors Aufrere, R., Marion, V., Laneurit, J., Lewandowski, C., Morillon, J., Chapuis, R.
Format Conference Proceeding
LanguageEnglish
Published Piscataway NJ IEEE 2004
Subjects
Applied sciences
Detectors
Exact sciences and technology
Ground, air and sea transportation, marine construction
Image edge detection
Image recognition
Machine vision
Measurement units
Navigation
Organization Charts
Road transportation and traffic
Roads
Robots
Robustness
Tracking
International conference
System design
Vision system
Algorithm
Road side
Improvement
Detector
Road traffic
Detection
Comparative study
Recognition
Adaptation
Quantitative analysis
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Summary:The present communication deals with a vision system designed to detect and track roadsides on non-marked roads or paths. The initial detection method, mainly adapted to marked roads and briefly presented in this article, is based upon a model driven algorithm. This article presents the major improvements we achieved to adapt the approach to the particular context of non marked roads. These improvements are based on the development of a pre-processing step to improve the quality of the images, the transition detector, the recognition criterion. Moreover, the new approach is able to take into account the proprioceptive data provided by an inertial measurement unit. Results obtained show the robustness and the accuracy of the method.
ISBN:9780780383104
0780383109
DOI:10.1109/IVS.2004.1336404