International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 8, No. 11, 8 Nov. 2016
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Improved Parallel Lane Detection Using Modified Additive Hough Transform
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Author(s)
Amandeep Katru
1,*
Anil Kumar
1
Index Terms
Lane detection, Modified additive Hough transfom, parallelisms, dynamic thresholding
Abstract
Lane detection has recognition in real time vehicular ad-hoc system. That study work concentrate on giving greater efficiency in lane detection by utilizing the additive Hough transform to identify the curve lanes and convert into data parallelism in order to improve the speed of the proposed technique by using fork and join process. To accomplish performance evaluation various metrics is likely to be considered. The performance of lane detection algorithms is generally evaluated in terms of algorithm results and parallel results. Algorithm results is evaluated in terms of accuracy, error rate, execution time ,overhead and parallel results is evaluated in terms of speed, efficiency etc. To complete performance comparison the result of proposed algorithm is going to be compared with existing lane detection algorithms. Intelligent transportation systems are available these days for increasing the safety of the vehicles and reduce incident ratio. A new technique which uses modified additive hough transform is used to reduce the limitations of existing technique. The proposed algorithm has been designed and implemented in MATLAB.
Cite This Paper
Amandeep Katru, Anil Kumar,"Improved Parallel Lane Detection Using Modified Additive Hough Transform", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.8, No.11, pp.10-17, 2016. DOI: 10.5815/ijigsp.2016.11.02
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