Abstract
A vision-based road detection technique is important for implementation of a safe driving assistance system. A major problem of vision-based road detection is sensitivity to environmental change, especially illumination change. A novel framework is proposed for robust road detection using a color model with a separable brightness component. Road candidate areas are selected using an adaptive thresholding method, then fast region merging is performed based on a threshold value. Extracted road contours are filtered using edge information. Experimental results show the proposed algorithm is robust in an illumination change environment.
Cite
CITATION STYLE
Nam, J. H., Yang, S. H., Hu, W., & Kim, B. G. (2015). A robust real-time road detection algorithm using color and edge information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9475, pp. 532–541). Springer Verlag. https://doi.org/10.1007/978-3-319-27863-6_49
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