DocumentCode
1761383
Title
Detecting Unfocused Raindrops: In-Vehicle Multipurpose Cameras
Author
Cord, Aurelien ; Gimonet, Nicolas
Author_Institution
LIVIC, IFSTTAR, Versailles, France
Volume
21
Issue
1
fYear
2014
fDate
41699
Firstpage
49
Lastpage
56
Abstract
Advanced driver assistance systems (ADASs) based on video cameras are becoming pervasive in today´s automotive industry. However, while most of these systems perform nicely in clear weather conditions, their performances fail drastically in adverse weather and particularly in the rain. We present two novel approaches that aim to detect unfocused raindrops on a car windshield using only images from an in-vehicle camera. Based on the photometric properties of raindrops, the algorithms rely on image processing techniques to highlight them. The results will be used to improve ADAS behavior under rainy conditions. Both approaches are compared with each other and the techniques from the literature.
Keywords
automotive components; driver information systems; photometry; video cameras; video signal processing; ADAS; advanced driver assistance systems; automotive industry; car windshield; image processing techniques; in-vehicle multipurpose cameras; photometric properties; unfocused raindrop detection; video cameras; Automotive components; Autonomous vehicles; Cameras; Driver assistance systems; Image segmentation; Intelligent vehicles; Navigatino; Rain; Shape analysis;
fLanguage
English
Journal_Title
Robotics & Automation Magazine, IEEE
Publisher
ieee
ISSN
1070-9932
Type
jour
DOI
10.1109/MRA.2013.2287451
Filename
6736108
Link To Document