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Prevention of Snow Accretion on Camera Lenses of Autonomous Vehicles
Technical Paper
2020-01-0105
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
With the rapid development of artificial intelligence, the autonomous vehicles (AV) have attracted considerable attention in the automotive industry. However, different factors negatively impact the adoption of the AVs, delaying their successful commercialization. Accretion of atmospheric icing, especially wet snow, on AV sensors causes blockage on their lenses, making them prone to lose their sight, in turn, increasing potential chances of accidents. In this study, two different designs are proposed in order to prevent snow accretion on the lenses of AVs via air flow across the lens surface. In both designs, lenses made of plain glass and superhydrophobic coated glass surfaces are tested. While some researchers have shown promise of water repellency on superhydrophobic surfaces, more snow accretion is observed on the superhydrophobic surfaces, when compared to the plain glass lenses. In the experiments, snow is formed using a novel snow gun inside a walk-in cold room connected to a wind tunnel that can reach wind speeds of up to 40 mph. It is observed that the air flow over the lens significantly reduces the accretion of snow on the lens and could maintain the lens clean for up to 20 mph wind velocities. However, at LWC values of approximately 28%, the stickiness of the snowflakes increases, enhancing snow accretion on the lenses and translating to significant loss of sight. The high stickiness of the snowflakes along with high wind speeds leads to increased blockage of the AV lenses.
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Authors
- Behrouz Mohammadian - University of Toledo
- Mehdi Sarayloo - University of Toledo
- Jamie Heil - University of Toledo
- Hossein Sojoudi - University of Toledo
- Michael Robertson - Ford Motor Company
- Haiping Hong - Ford Motor Company
- Tommy Tran - Ford Motor Company
- Sunil Patil - Ford Motor Company
- Venkatesh Krishnan - Ford Motor Company
Topic
Citation
Mohammadian, B., Sarayloo, M., Heil, J., Sojoudi, H. et al., "Prevention of Snow Accretion on Camera Lenses of Autonomous Vehicles," SAE Technical Paper 2020-01-0105, 2020, https://doi.org/10.4271/2020-01-0105.Data Sets - Support Documents
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References
- Fagnant , D.J. and Kockelman , K. Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations Transportation Research Part A: Policy and Practice 77 167 181 2015
- Van Brummelen , J. et al. Autonomous Vehicle Perception: The Technology of Today and Tomorrow Transportation Research Part C: Emerging Technologies 89 384 406 2018
- MarkVollrath , S. , Schleicher , and Gelau , C. The Influence of Cruise Control and Adaptive Cruise Control on Driving Behaviour - A Driving Simulator Study Accident Analysis & Prevention 43 3 1134 1139 2011
- Kim , J. , Rajkumar , R.R. , and Jochim , M. Towards Dependable Autonomous Driving Vehicles: A System-Level Approach ACM SIGBED Review 10 1 29 32 2013
- Shi , W. et al. Algorithm and Hardware Implementation for Visual Perception System in Autonomous Vehicle: A Survey Integration 59 148 156 2017
- Snapir , B. et al. A Method for Monthly Mapping of Wet and Dry Snow Using Sentinel-1 and MODIS: Application to a Himalayan River Basin International Journal of Applied Earth Observation and Geoinformation 74 222 230 2019
- Admirat , P. Wet Snow Accretion on Overhead Lines Atmospheric Icing of Power Networks Springer 2008 119 169
- Mohammadian , B. et al.
- Lozowski , E. and Makkonen , L. Fifty Years of Progress in Modelling the Accumulation of Atmospheric Ice on Power Network Equipment Proc. Eleventh International Workshop on Atmospheric Icing on Structures Montreal 2005
- Makkonen , L. Estimation of Wet Snow Accretion on Structures Cold Regions Science and Technology 17 1 83 88 1989
- Makkonen , L. and Wichura , B. Simulating Wet Snow Loads on Power Line Cables by a Simple Model Cold Regions Science and Technology 61 2 73 81 2010
- Admirat , P. and Sakamoto , Y. Wet Snow on Overhead Lines: State-of-Art Proc. of the 4th International Workshop on Atmospheric Icing of Structures Paris 1988
- Sakamoto , Y. Snow Accretion on Overhead Wires Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 358 1776 2941 2970 2000
- Sakamoto , Y. and Miura , A. Comparative Study of Wet Snow Models for Estimating Snow Load on Power Lines Based on General Meteorological Parameters Proc 6th International Workshop on Atmospheric Icing of Structures 1993
- Wakahama , G. Experimental Studies of Snow Accretion on Electric Lines Developed in a Strong Wind Natural Disaster Science 1 1 21 33 1979
- Langmuir , I. and Blodgett , K. A Mathematical Investigation of Water Droplet Trajectories, Vol. 10 Program Press 1945 348 355
- Finstad , K.J. , Lozowski , E.P. , and Gates , E.M. A Computational Investigation of Water Droplet Trajectories Journal of Atmospheric and Oceanic Technology 5 1 160 170 1988
- Szilder , K. Snow Accretion Prediction on an Inclined Cable Cold Regions Science and Technology 157 224 234 2019
- Schmidt , R.A. Threshold Wind-Speeds and Elastic Impact in Snow Transport Journal of Glaciology 26 94 453 467 1980
- Hefny , R. et al. 2009
- Abdelaal et al. 2019