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Rain or Snow Detection in Image Sequences Through Use of a Histogram of Orientation of Streaks

Jérémie Bossu, Nicolas Hautière, Jean-Philippe Tarel
2011 International Journal of Computer Vision  
When the presence of rain or of snow is detected, the HOS makes it possible to detect the pixels of rain or of snow in the foreground images, and to estimate the intensity of the precipitation of rain  ...  In this article, a system based on computer vision is presented which detects the presence of rain or snow.  ...  The authors would like to thank the reviewers for very constructive and detailed comments, as well as Eric Dumont for having filmed some of the video sequences.  ... 
doi:10.1007/s11263-011-0421-7 fatcat:ivb3ohfmxfbr3mirq5jnzeuiye

LiDAR Snowfall Simulation for Robust 3D Object Detection [article]

Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool
2022 arXiv   pre-print
Due to the difficulty of collecting and annotating training data in this setting, we propose a physically based method to simulate the effect of snowfall on real clear-weather LiDAR point clouds.  ...  3D object detection is a central task for applications such as autonomous driving, in which the system needs to localize and classify surrounding traffic agents, even in the presence of adverse weather  ...  The work also received funding by the AI-SEE project with national funding from the Austrian Research Promotion Agency (FFG), Business Finland, Federal Ministry of Education and Research (BMBF) and National  ... 
arXiv:2203.15118v1 fatcat:w6ksjhxu5bcwzgh7sknwixjqh4

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

Yuxiao Zhang, Alexander Carballo, Hanting Yang, Kazuya Takeda
2021 arXiv   pre-print
a holistic overview on the obstacles and directions of ADS development in terms of adverse weather driving conditions.  ...  State-of-the-art techniques on perception enhancement with regard to each kind of weather are thoroughly reported.  ...  However, LiDAR upgrade has leading vehicle in snow weather [72]. Images courtesy of always been one of the focuses of the research community. Dr.  ... 
arXiv:2112.08936v1 fatcat:hmgjhywy7rgx3fgrk6yxnu56ie

Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing [article]

Izzeddin Teeti, Valentina Musat, Salman Khan, Alexander Rast, Fabio Cuzzolin, Andrew Bradley
2022 arXiv   pre-print
To this end, we introduce an approach of using synthesised adverse condition datasets in autonomous racing (generated using CycleGAN) to improve the performance of four out of five state-of-the-art detectors  ...  However, recent developments in CycleGAN architectures allow the synthesis of highly realistic scenes in multiple weather conditions.  ...  Acknowledgement The authors would like to thank the OBR Autonomous team for their input and assistance, and Tjeerd Olde Scheper, Peter Ball, Matthias Rolf and Gordana Collier for fruitful discussions and  ... 
arXiv:2201.03246v2 fatcat:4qtppnh2nrb5tnhnxmus4vzudq

Playing for Benchmarks [article]

Stephan R. Richter and Zeeshan Hayder and Vladlen Koltun
2017 arXiv   pre-print
The realism of the collected data is further validated via perceptual experiments.  ...  The benchmark is based on more than 250K high-resolution video frames, all annotated with ground-truth data for both low-level and high-level vision tasks, including optical flow, semantic instance segmentation  ...  Acknowledgements We thank Qifeng Chen for the MTurk experiment code, Fisher Yu for the FCN-ResNet baseline, the authors of PSP-Net for evaluating their system on our data, and Jia Xu and  ... 
arXiv:1709.07322v1 fatcat:4m6glbtwyjfqtcvzsrmcapwita

Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving [article]

Michal Uricar, Pavel Krizek, David Hurych, Ibrahim Sobh, Senthil Yogamani, Patrick Denny
2019 arXiv   pre-print
This paper focuses on the application of GAN in autonomous driving including topics such as advanced data augmentation, loss function learning, semi-supervised learning, etc.  ...  Research on GAN is rapidly growing and there are many variants of the original GAN focusing on various aspects of deep learning.  ...  We would also like to thank the company Borealis AI for the GAN T-shirts which inspired the title of this paper 4 .  ... 
arXiv:1902.03442v1 fatcat:ev4dkg6wq5cjvbuy6htwlojzda

A Quantitative Analysis of Point Clouds from Automotive Lidars Exposed to Artificial Rain and Fog

Karl Montalban, Christophe Reymann, Dinesh Atchuthan, Paul-Edouard Dupouy, Nicolas Riviere, Simon Lacroix
2021 Atmosphere  
Light Detection And Ranging sensors (lidar) are key to autonomous driving, but their data is severely impacted by weather events (rain, fog, snow).  ...  To increase the safety and availability of self-driving vehicles, the analysis of the phenomena of the consequences at stake is necessary.  ...  The 24 channels overlap on the edges to avoid empty scanned spaces. Cepton sensors have stable performances in range variations when it comes to adverse weather conditions [15] .  ... 
doi:10.3390/atmos12060738 fatcat:n5mqsr6upnfzpjk2i7qzeobq6y

RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes [article]

Jiongchao Jin, Arezou Fatemi, Wallace Lira, Fenggen Yu, Biao Leng, Rui Ma, Ali Mahdavi-Amiri, Hao Zhang
2021 arXiv   pre-print
We demonstrate the utility of our new dataset by showing how data augmentation with RaidaR can elevate the accuracy of existing segmentation algorithms.  ...  The RaidaR images cover a wide range of realistic rain-induced artifacts, including fog, droplets, and road reflections, which can effectively augment existing street scene datasets to improve data-driven  ...  Even though data synthesis is a great way to obtain a large amount of reliable segmented data, it has some limitations as they often fail to capture the complex nature of weather and road-specific phenomena  ... 
arXiv:2104.04606v3 fatcat:jm6e3s3mobhwjihn6ufxyterou

A critical review of climate change risk for ski tourism

Robert Steiger, Daniel Scott, Bruno Abegg, Marc Pons, Carlo Aall
2017 Current Issues in Tourism  
With its strong reliance on specific climatic conditions, the ski industry is regarded as the tourism market most directly and immediately affected by climate change.  ...  The extent and timing of these consequences depend on the rate of climate change and the types of adaptive responses by skiers as well as ski tourism destinations and their competitors.  ...  It provides an important competitive advantage during periods of adverse weather, one that is potentially important to overcome substantial losses in season length under climate change.  ... 
doi:10.1080/13683500.2017.1410110 fatcat:sawn5inxvvgnbbbttke3mgxgva

Visibility Enhancement and Fog Detection: Solutions Presented in Recent Scientific Papers with Potential for Application to Mobile Systems

Răzvan-Cătălin Miclea, Vlad-Ilie Ungureanu, Florin-Daniel Sandru, Ioan Silea
2021 Sensors  
This synthesis and technological evolution in the field of sensors, in the field of communications, in data processing, can be the basis of new possibilities for approaching the problems.  ...  Our focus is on the fog phenomenon, and here, we present published research about methods based on image processing, optical power measurement, systems of sensors, etc.  ...  While imaging sensors output reliable results in good weather conditions, their efficiency is decreasing in bad weather conditions such as fog, rain, snow, or glare of the sun.  ... 
doi:10.3390/s21103370 pmid:34066176 fatcat:owkgxijv2bccjn2y3vzoxw2hka

Unsupervised Domain Adaptation of Object Detectors: A Survey [article]

Poojan Oza, Vishwanath A. Sindagi, Vibashan VS, Vishal M. Patel
2021 arXiv   pre-print
However, learning highly accurate models relies on the availability of large-scale annotated datasets.  ...  We believe that this survey shall be valuable to the pattern recognition experts working in the fields of computer vision, biometrics, medical imaging, and autonomous navigation by introducing them to  ...  [121] Adversarial feature learning Image-to-image translation Domain randomization Roychowdhury et al. [61] Khodabandeh et al. [62] Kim et al. [97] D'Innocente et al.  ... 
arXiv:2105.13502v2 fatcat:ozzbbvoflfdvjdewjnjmfajlpa

Connecting Satellite Observations with Water Cycle Variables Through Land Data Assimilation: Examples Using the NASA GEOS-5 LDAS

Rolf H. Reichle, Gabriëlle J. M. De Lannoy, Barton A. Forman, Clara S. Draper, Qing Liu
2013 Surveys in geophysics  
A land data assimilation system (LDAS) can merge satellite observations (or retrievals) of land surface hydrological conditions, including soil moisture, snow, and terrestrial water storage (TWS), into  ...  In theory, the output from such a system is superior to estimates based on the observations or the model alone, thereby enhancing our ability to understand, monitor, and predict key elements of the terrestrial  ...  Acknowledgments The authors thank the organizers of the ISSI Workshop on ''The Earth's Hydrological Cycle'' held February 6-10, 2012 and two anonymous reviewers for their efforts.  ... 
doi:10.1007/s10712-013-9220-8 fatcat:oapsup4nzjh3pfl4np7zpamf54

CoMoGAN: continuous model-guided image-to-image translation [article]

Fabio Pizzati, Pietro Cerri, Raoul de Charette
2021 arXiv   pre-print
CoMoGAN is a continuous GAN relying on the unsupervised reorganization of the target data on a functional manifold.  ...  On all datasets, it outperforms the literature. Our code is available at .  ...  For instance, considering adverse weather phenomena, severe conditions (e.g. thick fog) are always positioned after light ones (i.e. lite fog).  ... 
arXiv:2103.06879v2 fatcat:u5hthxha3vgshoiexnmbv67vxa

PART B: 5th American Caribou Workshop, 19-21 March 1991, Yellowknife, Northwest Territories, Canada

Sven Skjenneberg (ed. in chief)
1991 Rangifer  
The workshop addressed the issue of how ecological theory can be applied to practical caribou management problems.  ...  In addition to that theme, we also chose to highlight cooperative caribou management boards and the conservation and management of woodland caribou.  ...  Acknowledgements We acknowledge the numerous individuals of the Newfoundland and Labrador Wildlife Division who have over the years helped collect research data.  ... 
doi:10.7557/ fatcat:yfyxv6jvbrblxpkktn5h5r6d7a

International Joint Commission [chapter]

2007 Water  
climate variability, let alone climate change.  ...  occur on the lake decreasing the water of oxygen and damaging other organisms (National Assessment Synthesis Team, 2001: 99) .  ...  Scenario Development A scenario is a plausible, coherent, internally consistent description of a possible future state of the world (Carter et al., 1994) ; it is not a prediction or forecast since no  ... 
doi:10.1201/b10990-13 fatcat:7vifxnesjvc5bbcwlkqqlezoe4
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