Detection of Raindrop with Various Shapes on aWindshield
Open accessAbstract
This paper presents the method to detect raindrops with various shapes on a windshield from an in-vehicle single camera. Raindrops on a windshield causes various bad influence for video-based automobile applications, such as pedestrian detection, lane detection and so on. Therefore, it’s important to understand the state of the raindrop on a windshield for a driving safety support system or an automatic driving vehicle. Although conventional methods are considered on isolated spherical raindrops, our method can be applied to raindrops with various shapes, e.g. a band-like shape. In the daytime, our method detects raindrop candidates by examining the difference of the blur between the surrounding areas. We uses the ratio of the edge strength extracted from two kinds of smoothed images as the degree of the blur. At night, bright areas whose intensity does not change so much are detected as raindrops.
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Cites
Restoring an Image Taken through a Window Covered with Dirt or Rain
Eigen, D., Krishnan, D., & Fergus, R. (2013) · 2013 IEEE International Conference on Computer Vision · doi:10.1109/iccv.2013.84 · Cited by 454 · cited 2× · see citing works
“Eigen et al. (Eigen et al., 2013) removed small dirt or raindrops from a corrupt image by predicting a clean output by convolutional neural network.”
BackgroundAnalysis of Rain and Snow in Frequency Space
Barnum, P. C., Narasimhan, S. G., & Takeo Kanade, A. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-008-0200-2 · Cited by 354 · 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
Halimeh, J. C., & Roser, M. (2009) · 2009 IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2009.5164347 · Cited by 76 · cited 2× · see citing works
“(Halimeh and Roser, 2009) proposed the method based on a geometric-photometric model that described the refractive property of a raindrop on a windshield.”
MethodDetection 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 · cited 2× · see citing works
“(Nashashibi et al., 2010) detected unfocus raindrops using the similar characteristics.”
MethodVideo-based water drop detection and removal method for a moving vehicle
Liao, H.-C., Wang, D.-Y., Yang, C.-L., & Shin, J. (2013) · Information Technology Journal · doi:10.3923/itj.2013.569.583 · Cited by 9 · cited 2× · see citing works
“Liao et al. (Liao et al., 2013) detected raindrops on a windshield based on three characteristics that a raindrop exists in the video frames for a period of time, its shape is close to an ellipse and it is bright.”
BackgroundA novel technique for raindrop detection on a car windshield using geometric-photometric model
Sugimoto, M., Kakiuchi, N., Ozaki, N., & Sugawara, R. (2012) · 2012 15th International IEEE Conference on Intelligent Transportation Systems · doi:10.1109/itsc.2012.6338613 · Cited by 6 · cited 2× · see citing works
“(Sugimoto et al., 2012) extended this assumption to a spheroid section.”
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2 of the 9 references couldn’t be matched to a known paper.
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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
“Ishizuka and Onoguchi [37], proposed two algorithms for raindrop detection; one for daytime and the other for night.”
BackgroundMethodInfluentialRaindrop Detection on a Windshield Based on Edge Ratio
Ishizuka, J., & Onoguchi, K. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-53375-9_12 · Cited by 3 · see citing works
Self-citationImage based rainfall amount estimation for auto-wiping of vehicles
Lee, S.-H., Jeon, J. H., Choi, D. Y., et al. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07269-3 · Cited by 1 · see citing works
“Ishizuka et al. [33] defined the degree of blur by reflecting the characteristic that raindrops gradually blur, and detected raindrops by measuring the amount of change.”
BackgroundImproving the performance of automotive vision‐based applications under rainy conditions
Hamzeh, Y., Mohammadi, A., & Rawashdeh, S. A. (2022) · IET Image Processing · doi:10.1049/ipr2.12424 · Cited by 1 · see citing works
Adherent Raindrop Detection Based on Morphological Operations
Fouad, E., & Ezzine, A. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-11928-7_29
- Authors
- Ishizuka, J., & Onoguchi, K.
- Affiliations
- Hirosaki University (JP)
- Venue
- Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods
- Published
- 2016
- Pages
- 475-483
- OpenAlex
- W2344811863
- Cited by
- 5
- References
- 9
- Citations by year
- 2022: 2 · 2021: 1 · 2019: 1 · 2017: 1
- FWCI
- 0.86
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- International Conference on Pattern Recognition Applications and Methods (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Keywords
- raindrop detection, windshields, in-vehicle camera, edge strength, autonomous driving
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