Abstract: Next generation automobile industries are aiming for development of vision-based driver assistance system and driver-less vehicle system. In the context of this application, a major challenge lies in the identification of efficient road region segmentation from captured image frames. Recent research work suggests that use of a global feature like vanishing point makes the road detection algorithm more robust and general for all types of roads. The goal of this research work is the reduction of computational complexity involved with voting process for identification of vanishing point. This paper presents an efficient and optimized voter selection strategy to identify vanishing point in general road images. The major outcome of this algorithm is the reduction in computational complexity as well as improvement in efficiency of vanishing point detection algorithm for all types of road images. The key attributes of the methodology are dominant orientation selection, voter selection based on voter location and modified voting scheme, combining dominant orientation and distance based soft voting process. Results of a number of qualitative and quantitative experiments clearly demonstrate the efficiency of proposed algorithm.

Vipul H. Mistry and Ramji Makwana, “Optimized Voting Scheme for Efficient Vanishing Point Detection in General Road Images” International Journal of Advanced Computer Science and Applications(IJACSA), 7(8), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070818

@article{Mistry2016,
title = {Optimized Voting Scheme for Efficient Vanishing Point Detection in General Road Images},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070818},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070818},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {8},
author = {Vipul H. Mistry and Ramji Makwana}
}