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A Review of Detection and Removal of Raindrops in Automotive Vision Systems

Yazan Hamzeh, Samir A. Rawashdeh
2021 Journal of Imaging  
This survey paper describes the main techniques for detecting and removing adherent raindrops from images that accumulate on the protective cover of cameras.  ...  Adherent rain on a vehicle's windshield in the camera's field of view causes distortion that affects a wide range of essential automotive perception tasks, such as object recognition, traffic sign recognition  ...  Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/jimaging7030052 pmid:34460708 pmcid:PMC8321291 fatcat:yyl3ioyoz5avjeyncepv4j4poy

Towards Safer Transportation: a self-supervised learning approach for traffic video deraining [article]

Shuya Zong, Sikai Chen, Samuel Labi
2021 arXiv   pre-print
This study proposes a two-stage self-supervised learning method to remove rain streaks in traffic videos. The first and second stages address intra- and inter-frame noise, respectively.  ...  Video monitoring of traffic is useful for traffic management and control, traffic counting, and traffic law enforcement.  ...  The authors confirm contribution to the paper as follows: all authors contributed to all sections. All authors reviewed the results and approved the final version of the manuscript.  ... 
arXiv:2110.07379v1 fatcat:tiwo4wrsnfa45f5w7gfc4dlu5y

Rain Streaks and Snowflakes Removal for Video Sequences via Motion Compensation and Matrix Completion

Yutong Zhou, Nobutaka Shimada
2020 SN Computer Science  
This paper proposes a three-step method to detect and remove rain streaks, even snowflakes from great majority video sequences, using motion compensation and low-rank matrix completion method.  ...  on two static video sequences and 12.13% on a more challenging dynamic video sequence.  ...  Compliance with Ethical Standards Conflict of interest The authors declare that they have no conflict of interest.  ... 
doi:10.1007/s42979-020-00333-6 fatcat:55jnxg3x4fh3nknlpjlc3otaym

Real-time raindrop detection based on cellular neural networks for ADAS

Fadi Al Machot, Mouhannad Ali, Ahmad Haj Mosa, Christopher Schwarzlmüller, Markus Gutmann, Kyandoghere Kyamakya
2016 Journal of Real-Time Image Processing  
Hence, the automated detection of raindrops has a significant importance for video-based ADAS.  ...  A core aspect of advanced driver assistance systems (ADAS) is to support the driver with information about the current environmental situation of the vehicle.  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s11554-016-0569-z fatcat:4zubx4v24nd7fmccqnrik65ycy

Autonomous Driving in Adverse Weather Conditions: A Survey [article]

Yuxiao Zhang, Alexander Carballo, Hanting Yang, Kazuya Takeda
2021 arXiv   pre-print
However, autonomous driving under adverse weather conditions has been the problem that keeps autonomous vehicles (AVs) from going to level 4 or higher autonomy for a long time.  ...  a holistic overview on the obstacles and directions of ADS development in terms of adverse weather driving conditions.  ...  “A Novel Method for Inferior Mirage gle image haze removal using dark channel prior”. Detection in Video”.  ... 
arXiv:2112.08936v1 fatcat:hmgjhywy7rgx3fgrk6yxnu56ie

A Vision-Based Driver Nighttime Assistance and Surveillance System Based on Intelligent Image Sensing Techniques and a Heterogamous Dual-Core Embedded System Architecture

Yen-Lin Chen, Hsin-Han Chiang, Chuan-Yen Chiang, Chuan-Ming Liu, Shyan-Ming Yuan, Jenq-Haur Wang
2012 Sensors  
In previous studies on detecting vehicles in an image sequence for driving safety, the vehicle detection process is mostly conducted by searching for specific patterns in the images based on typical features  ...  This contrast-based method can effectively detect outdoor objects in a surveillance area using a stationary camera.  ...  The authors would like to appreciate Ching-Chun Lin and Chian-Hao Wei for their helps on performing the experiments.  ... 
doi:10.3390/s120302373 pmid:22736956 pmcid:PMC3376597 fatcat:4hsr3byhufdjzcgzagj3vdacgi

Rain Streaks Elimination Using Image Processing Algorithms

Dinesh Kadam, Amol R. Madane, Krishnan Kutty, Bonde S.V
2019 Signal & Image Processing An International Journal  
While, Rain streak removal from scene is important but a lot of research in this area, robust and real time algorithms is unavailable in the market.  ...  The paper addresses the problem of rain streak removal from videos.  ...  LITERATURE SURVEY Paper [1] has highlighted the algorithm to check the facial expressions of driver who is driving vehicle.  ... 
doi:10.5121/sipij.2019.10303 fatcat:b26l7gjjrzddfpky4uyggzt3sm

Road Scene Content Analysis for Driver Assistance and Autonomous Driving

Melih Altun, Mehmet Celenk
2017 IEEE transactions on intelligent transportation systems (Print)  
This research aims to develop a vision based driver assistance system that achieves scene awareness using video frames obtained from a dashboard camera.  ...  Furthermore, the vehicle path is used in conjunction with the extracted road information to detect deviations from the road surfaces.  ...  Consider the example of vehicle vision: at the lower end we have the raw video stream from a traveling car.  ... 
doi:10.1109/tits.2017.2688352 fatcat:mjp6rvksajbcrknnuesu2hhgnm

UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments [article]

Ye Yuan, Wenhan Yang, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang
2020 arXiv   pre-print
The UG^2+ challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual recognition in various scenarios  ...  Baseline results by cascading existing enhancement and detection models are reported, indicating the highly challenging nature of our new data as well as the large room for further technical innovations  ...  [64] for raindrop removal.  ... 
arXiv:1904.04474v4 fatcat:j4gz3l776bezpb73iaclny4n74

Algorithms for cooperative multisensor surveillance

R.T. Collins, A.J. Lipton, H. Fujiyoshi, T. Kanade
2001 Proceedings of the IEEE  
in a cluttered environment using a distributed network of active video sensors.  ...  The feasibility of real-time video surveillance has been demonstrated within a multicamera testbed system developed on the campus of CMU.  ...  Each SPU consists of a camera [Fig. 2(c)] paired with a (e) (f)  ... 
doi:10.1109/5.959341 fatcat:c4gvuw3pevhcfgm4iefgirwlfe

Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving [article]

Michal Uricar, Ganesh Sistu, Hazem Rashed, Antonin Vobecky, Varun Ravi Kumar, Pavel Krizek, Fabian Burger, Senthil Yogamani
2020 arXiv   pre-print
Wide-angle fisheye cameras are commonly used in automated driving for parking and low-speed navigation tasks.  ...  Four of such cameras form a surround-view system that provides a complete and detailed view of the vehicle.  ...  Antonín Vobecký was supported by the Grant Agency of the Czech Technical University in Prague, grant No. SGS18/205/OHK3/3T/37. All authors would like to thank Valeo for the support of publishing.  ... 
arXiv:1912.02249v3 fatcat:lzc72m6nkrguvffbdqzdsiaede

Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision [article]

Jinli Suo, Weihang Zhang, Jin Gong, Xin Yuan, David J. Brady, Qionghai Dai
2021 arXiv   pre-print
a framework to deeply integrate CI and AI by using the example of self-driving vehicles with high-speed communication, edge computing and traffic planning.  ...  revolution of mobile vision.Starting from the history of mobile vision using digital cameras, this work first introduces the advances of CI in diverse applications and then conducts a comprehensive review  ...  Considering the temporal correlation in video frames, the recurrent neural network has also been a tool [182] [183] for video SCI.  ... 
arXiv:2109.08880v1 fatcat:nbwyxsweljagpb43nzwpk3lf7y

Foreground Scattering Elimination by Inverse Lock-In-Like Spatial Modulation

Yueyu Lin, Sune Svanberg
2020 Vision  
We also apply a new digital imaging processing technique based on a combination of the Interframe Difference and Gaussian Mixture models for digital separation between the objects of interest and the background  ...  Thus, the approach can be denoted as "inverse lock-in-like spatial modulation".  ...  Acknowledgments: We gratefully acknowledge the support of Sailing He, Guofu Zhou, and Karl Åström.  ... 
doi:10.3390/vision4030037 pmid:32823703 pmcid:PMC7558313 fatcat:fkv632f3afa7vi3e3qbhpsonne

A Survey of Context Simulation for Testing Mobile Context-Aware Applications

Chu Luo, Jorge Goncalves, Eduardo Velloso, Vassilis Kostakos
2020 ACM Computing Surveys  
This article aims to give a comprehensive overview of the state-of-the-art context simulation methods for testing mobile context-aware applications.  ...  In particular, this article highlights the technical distinctions and commonalities in previous research conducted across a multiple disciplines, particularly at the intersection of software testing, ubiquitous  ...  ACKNOWLEDGMENTS This work is partially funded by a Samsung Global Research Outreach grant, the ARC Discovery Project DP190102627, and Google.  ... 
doi:10.1145/3372788 fatcat:mpkgpye24jetbkep7hh2bkjf7y

Interpretable Global-Local Dynamics for the Prediction of Eye Fixations in Autonomous Driving Scenarios

Javier Martinez-Cebrian, Miguel-Angel Fernandez-Torres, Fernando Diaz-de-Maria
2020 IEEE Access  
We would like to thank the authors from DR(eye)VE project [49] for the support provided during this work, as well as the Multimedia Processing Group from Universidad Carlos III de Madrid for their entire  ...  ACKNOWLEDGMENT This work has been funded by the National Grant TEC2017-84395-P of the Spanish Ministry of Economy and Competitiveness.  ...  In this work, we assume the use of video cameras.  ... 
doi:10.1109/access.2020.3041606 fatcat:6nbm57vejbdcjd6jfdrhccrzla
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