Proceedings ArticleDOI
Vision-based rain sensing with an in-vehicle camera
Steffen Gormer,Anton Kummert,Su-Birm Park,Peter Egbert +3 more
- pp 279-284
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TLDR
A novel rain sensing concept based on an automotive in-vehicle camera for Driver Assistance Systems (DAS) is developed to enhance applicability and first experimental experiences show promising results.Abstract:
An intelligent wiper speed adjustment system can be found in most middle and upper class cars. A core piece of this gadget is the rain sensor on the windshield. With the upcoming number of cars being equipped with an in-vehicle camera for vision-based applications the call for integrating all sensors in the area of the rearview mirror into one device rises to reduce the number of parts and variants. In this paper, functionality of standard rain sensors and different vision-based approaches are explained and a novel rain sensing concept based on an automotive in-vehicle camera for Driver Assistance Systems (DAS) is developed to enhance applicability. Hereby, the region at the bottom of the field of view (FOV) of the imager is used to detect raindrops, while the upper part of the image is still usable for other vision-based applications. A simple algorithm is set up to keep the additional processing time low and to quantitatively gather the rain intensity. Mechanisms to avoid false activations of the wipers are introduced. First experimental experiences based on real scenarios show promising results.read more
Citations
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References
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Proceedings ArticleDOI
Rainy weather recognition from in-vehicle camera images for driver assistance
Hiroyuki Kurihata,Tomokazu Takahashi,Ichiro Ide,Yoshito Mekada,Hiroshi Murase,Y. Tamatsu,T. Miyahara +6 more
TL;DR: A weather recognition method from in-vehicle camera images that uses a subspace method to judge rainy weather by detecting raindrops on the windshield and promising results for rainfall judgment from detection results.
Proceedings ArticleDOI
Raindrop Detection from In-Vehicle Video Camera Images for Rainfall Judgment
Hiroyuki Kurihata,Tomokazu Takahashi,Yoshito Mekada,Ichiro Ide,Hiroshi Murase,Yukimasa Tamatsu,Takayuki Miyahara +6 more
TL;DR: A method to detect raindrops from in-vehicle camera images and recognize rainfall using time-series information is proposed and detected precisely enough for automatic wiper control by the proposed method.
Proceedings ArticleDOI
Development of Vision based Control Smart Windwhield Wiper System for Intelligent Vehicle
TL;DR: In this paper, a vision-based smart windshield wiper system that can automatically adjust its speed and intermittent interval according to the amount of water drops on the windshield is presented. But the system employs various image processing algorithms to detect water drops and fuzzy logic to determine the speed and the interval of the wiper.
Journal ArticleDOI
Blurry when wet: animating raindrop behavior
Yonggao Yang,X. Wang,M. Beheshti +2 more
TL;DR: This method applies a partial-distortion method to approximate water droplets and their visual effects on a windshield and can achieve realistic, real-time animation on typical end-user PCs.
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