Towards rain detection through use of in-vehicle multipurpose cameras
Abstract
Advanced Driver Assistance Systems (ADAS) based on video camera tends to be generalized in today's automotive. However, if most of these systems perform nicely in good weather conditions, they perform very poorly under adverse weather particularly under rain. We present a novel approach that aims at detecting raindrops on a car windshield using only images from an in-vehicle camera. Based on the photometric properties of raindrops, the algorithm relies on image processing technics to highlight raindrops. Its results can be further used for image restoration and vision enhancement and hence it is a valuable tool for ADAS.
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Cord and Aubert's process requires focusing the camera on the windshield to get clear raindrop representation in the captured image.
“The major issue with the proposed process is that it requires focusing the camera on the windshield to get clear raindrop representation in the captured image.”
From A Review of Detection and Removal of Raindrops in Automotive Vision Systems (2021) · cites this paper as [17]
Cord and Aubert's system showed good results detecting and classifying weather conditions, with minimum misclassifications observed soon after the windshield wiper wipe event.
“The system showed good results detecting and classifying weather conditions, with minimum misclassifications observed soon after the windshield wiper wipe event.”
From A Review of Detection and Removal of Raindrops in Automotive Vision Systems (2021) · cites this paper as [17]
Cites
Garg, K., & Nayar, S. K. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-0028-6 · Cited by 477 · see citing works
Rainy weather recognition from in-vehicle camera images for driver assistance
Kurihata, H., Takahashi, T., Ide, I., Mekada, Y., Murase, H., Tamatsu, Y., & Miyahara, T. (2005) · IEEE Proceedings. Intelligent Vehicles Symposium, 2005. · doi:10.1109/ivs.2005.1505103 · Cited by 177 · see citing works
Video-based raindrop detection for improved image registration
Roser, M., & Geiger, A. (2009) · 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops · doi:10.1109/iccvw.2009.5457650 · Cited by 126 · see citing works
Weather Recognition Based on Images Captured by Vision System in Vehicle
Yan, X., Luo, Y., & Zheng, X. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-01513-7_42 · Cited by 92 · see citing works
Realistic real-time rain rendering
Rousseau, P., Jolivet, V., & Ghazanfarpour, D. (2006) · Computers & Graphics · doi:10.1016/j.cag.2006.03.013 · Cited by 50 · see citing works
Vision-based rain sensing with an in-vehicle camera
Gormer, S., Kummert, A., Park, S.-B., & Egbert, P. (2009) · 2009 IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2009.5164291 · Cited by 43 · see citing works
Detection of unfocused raindrops on a windscreen using low level image processing
Nashashibi, F., de Charrette, R., & Lia, A. (2010) · 2010 11th International Conference on Control Automation Robotics & Vision · doi:10.1109/icarcv.2010.5707398 · Cited by 38 · see citing works
Removal of Adherent Waterdrops from Images Acquired with a Stereo Camera System
Tanaka, Y. (2006) · IEICE Transactions on Information and Systems · doi:10.1093/ietisy/e89-d.7.2021 · Cited by 31 · see citing works
Real-time modeling and rendering of raining scenes
Wang, C., Wang, Z., Zhang, X., et al. (2008) · The Visual Computer · doi:10.1007/s00371-008-0241-0 · Cited by 10 · see citing works
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Detecting unfocused raindrops: In-vehicle multipurpose cameras
Cord, A., & Gimonet, N. (2014) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2013.2287451 · Cited by 35 · see citing works
Self-citationRaindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm
Soboleva, V., & Shipitko, O. (2021) · 2021 IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci50451.2021.9659915 · Cited by 30 · see citing works
A Review of Detection and Removal of Raindrops in Automotive Vision Systems
Hamzeh, Y., & Rawashdeh, S. A. (2021) · Journal of Imaging · doi:10.3390/jimaging7030052 · Cited by 21 · see citing works
“Intensity Gradient-Based Rain Classifier Cord and Aubert [17] proposed a three-level raindrop classifier (no rain, light rain, heavy rain).”
BackgroundInfluential
- Authors
- Cord, A., & Aubert, D.
- Affiliations
- Paris-Est Sup (FR)
- Venue
- 2011 IEEE Intelligent Vehicles Symposium (IV)
- Publisher
- IEEE
- Published
- 2011-06
- Pages
- 833-838
- ISSN
- 1931-0587 (ISSN-L)
- OpenAlex
- W2113031231
- Cited by
- 25
- References
- 9
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 2 · 2021: 3 · 2020: 2 · 2019: 3 · 2017: 1 · 2016: 1 · 2015: 1 · 2014: 3 · 2013: 2 · 2012: 4
- FWCI
- 2.15
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Intelligent Vehicles Symposium (publishedVersion)
- HAL (submittedVersion)
- Funders
- Agence Nationale de la Recherche
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Keywords
- rain detection, raindrop detection, in-vehicle camera, driver assistance systems, adverse weather, photometric properties, image processing, image restoration, vision improvement, windshields
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