A Survey on the Techniques for Traffic Sign Detection and Workzone Identification
Arya Krishnan G1, Nishy Reshmi S2
1Arya Krishnan G, Department of Computer Science and Engineering, LBS Institute of Technology for Women, Poojappura, Trivandrum (Kerala), India.
2Nishy Reshmi S, Department of Computer Science and Engineering, LBS Institute of Technology for Women, Poojappura, Trivandrum (Kerala), India.
Manuscript received on 13 June 2016 | Revised Manuscript received on 20 June 2016 | Manuscript Published on 30 June 2016 | PP: 180-182 | Volume-5 Issue-5, June 2016 | Retrieval Number: E4648065516/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Road Sign Recognition is a field of computer vision. Fast real-time and robust automatic traffic sign detection can significantly increase driving safety and comfort. Automatic detection and recognition of traffic sign is also important for an automated intelligent driving vehicle or for driver assistance systems. This paper provides a comprehensive survey on traffic sign detection and recognition techniques based on image and video data on automated driving vehicles and a comparative study between different methods used by various researchers. This also contains a new challenge faced by an autonomous vehicle that how they respond to an unexpected road conditions, such as highway work zones ,because such unusual events can alter previously known traffic rules and road geometry..
Keywords: Computer Vision, Highway Work Zone Recognition, Traffic Sign Recognition
Scope of the Article: Pattern Recognition