Abstract
Glare poses a major threat in the implementation of Advanced Driver Assistance Systems. The video or image captured by vehicle bound camera can be affected by sun glare at daytime or any artificial light during night hindering the visibility and causing problems for object detection by ADAS. The paper proposes an algorithm that effectively and precisely detects the glare affected regions in video by the method of finding and drawing contours. The simulations are performed in Visual studio platform and the results show that the glare boundaries are detected accurately and detection speed of proposed method is 3 times faster than existing method of Circle Hough Transform.
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Madan, N., Geetha, K.S. (2018). Development of Glare Recognition for Advanced Driver Assistance System. In: Hemanth, D., Smys, S. (eds) Computational Vision and Bio Inspired Computing . Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71767-8_75
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DOI: https://doi.org/10.1007/978-3-319-71767-8_75
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