EMS Annual Meeting Abstracts
Vol. 18, EMS2021-310, 2021
https://doi.org/10.5194/ems2021-310
EMS Annual Meeting 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Autonomous driving in adverse winter weather conditions

Marjo Hippi1, Timo Sukuvaara2, Kari Mäenpää3, Toni Perälä4, and Daria Stepanova5
Marjo Hippi et al.
  • 1Finnish Meteorological Institute, Helsinki, Finland (marjo.hippi@fmi.fi)
  • 2Finnish Meteorological Institute, Helsinki, Finland (timo.sukuvaara@fmi.fi)
  • 3Finnish Meteorological Institute, Helsinki, Finland (kari.maenpaa@fmi.fi)
  • 4Finnish Meteorological Institute, Helsinki, Finland (toni.perala@fmi.fi)
  • 5Finnish Meteorological Institute, Helsinki, Finland (daria.stepanova@fmi.fi)

Autonomous driving can be challenging especially in winter conditions when road surface is covered by icy and snow or visibility is low due to precipitation, fog or blowing snow. These harsh weather and road conditions set up very important requirements for the guidance systems of autonomous cars. In the normal conditions autonomous cars can drive without limitations but otherwise the speed must be reduced, and the safety distances increased to ensure safety on the roads. 

Autonomous driving needs very precise and real-time weather and road condition information. Data can be collected from different sources, like (road) weather models, fixed road weather station network, weather radars and vehicle sensors (for example Lidars, radars and dashboard cameras). By combining the all relevant weather and road condition information a weather-based autonomous driving mode system is developed to help and guide autonomous driving. The driving mode system is dividing the driving conditions from perfect conditions to very poor conditions. In between there are several steps with slightly alternate driving modes depending for example snow intensity and friction. In the most challenging weather conditions, automatic driving must be stopped because the sensors guiding the driving are disturbed by for example heavy snowfall or icy road.

Finnish Meteorological Institute is testing autonomous driving in the Arctic vehicular test track in Sodankylä, Northern Finland. The test track is equipped with road weather observation system network including road weather stations, IoT sensors measuring air temperature and humidity along with various communication systems. Also, tailored road weather services are produced to the test track, like precise road weather model calculations and very accurate radar precipitation observations and nowcasting. The developed weather-based autonomous driving system is tested on Sodankylä test track among other arctic autonomous driving testing.

This study presents the Sodankylä Arctic vehicular test track environment and weather-based autonomous driving mode system that is developed at the Finnish Meteorological Institute.

How to cite: Hippi, M., Sukuvaara, T., Mäenpää, K., Perälä, T., and Stepanova, D.: Autonomous driving in adverse winter weather conditions, EMS Annual Meeting 2021, online, 6–10 Sep 2021, EMS2021-310, https://doi.org/10.5194/ems2021-310, 2021.

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