Abstract
Lane Detection and Traffic sign detection are the essential components in ADAS .Although there has been significant quantity of analysis dedicated to the detection of lane detection and sign detection in the past, there is still need robustness in the system. An important challenge in the current algorithm is to cope with the bad weather and illumination. In this paper proposes an improved Hough transform algorithm in order to achieve detection of straight line while for the detection of curved sections, the tracking algorithm is studied. The proposed method uses Hybrid KSVD for removing the noise and Hybrid Lane Detection Algorithm is used for identifying the lanes and CNN based approach is used for the Traffic sign Detection. The proposed method offers better Peak Signal to Noise Ratio (PSNR) and Root Mean Square (RMS) in contrast to the existing methods.
Highlights
A day’s most of the researchers focus on the increasing need for traffic safety systems to reduce the risk of accidents
K-SVD, a dictionary learning algorithm is designed for building sparsely represented dictionaries using singular value decomposition. It is a generalized form of K-means clustering, and it iteratively interchanges between sparse representation of input data and updating the atoms in the dictionary (Aharon et al 2006, Rubinstein et al 2010)
It differs from Continuous Wavelet Transform (CWT), wherein the signal is broken into orthogonal collection of wavelets
Summary
A day’s most of the researchers focus on the increasing need for traffic safety systems to reduce the risk of accidents. Many Driver Assistance systems (DAS) are up-and human drivers are coming forward to work together, e.g. Forward Collision Warning System (FCWS) and on-board Lane Departure Warning System (LDWS). Such systems are used to preventing driver’s mistakes and reduce traffic accidents effectively. Detecting and recognizing traffic signs automatically are important in managing traffic-sign inventory. It involves less effort but offers exact and well-timed results. In the area of Computer Vision, discovery of traffic sign is a current problem of research
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