Programs
- M. Tech. in Automotive Engineering -
- Fellowship In Interventional Pulmonology and Pulmonary Critical care - Fellowship
Publication Type : Conference Proceedings
Publisher : Proceedings of International Conference on Computer Vision and Image Processing: CVIP 2016, Volume 1
Source : Proceedings of International Conference on Computer Vision and Image Processing: CVIP 2016, Volume 1, Springer Singapore, Singapore, p.69–77 (2017)
Url : http://dx.doi.org/10.1007/978-981-10-2104-6_7
ISBN : 9789811021046
Keywords : Blind curves, Collision avoidance, Optical flow, Surveillance
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2017
Abstract : Driving through blind curves, especially in mountainous regions or through roads that have blocked visibility due to the presence of natural vegetation or buildings or other structures is a challenge because of limited visibility. This paper aims to address this problem by the use of surveillance mechanism to capture the images from the blind side of the road through stationary cameras installed on the road and provide necessary information to drivers approaching the blind curve on the other side of the road, thus cautioning about possible collision. This paper proposes a method to tackle blind curves and has been studied for various cases. Notes: cited By 0; Conference of International Conference on Computer Vision and Image Processing, CVIP 2016 ; Conference Date: 26 February 2016 Through 28 February 2016; Conference Code:188049
Cite this Research Publication : S. Lakshmi Sadasivam and Amudha, J., “System Design for Tackling Blind Curves”, in Proceedings of International Conference on Computer Vision and Image Processing: CVIP 2016, Volume 1, B. Raman, Kumar, S., Roy, P. Pratim, and Sen, D., Eds. Singapore: Springer Singapore, 2017, pp. 69–77.