6G Visible Providing Advanced Weather Services for Autonomous Driving

Business Finland 6G Visible project’s objective is the development of 6G-era service and architecture solutions utilizing autonomous and semi-autonomous driving, with both physical and logical computational elements and with use cases for real-life verification and validation. Finnish Meteorological Institute is focusing especially on weather- and safety-related services for autonomous vehicles. We are tailoring our road weather services for the special needs of autonomous driving, keeping in mind that autonomous vehicles are more sensitive to the harsh winter weather conditions and benefit from more accurate weather information considering the sensor systems of each vehicle. Employing weather radar-based nowcasting of more accurate short-term precipitation forecasting benefits autonomous traffic, especially in cases of heavy local precipitation by re-routing/route planning and avoiding heaviest precipitation. Evaluation of autonomous vehicles’ sensor systems’ sensitivity to harsh weather conditions allows for weather forecasting based on the real vulnerability of each vehicle.

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Published
2024-12-13
DOI
https://doi.org/10.3390/info15120805
Citations
1
Primary Topic
Traffic Prediction and Management Techniques
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article
Field-Weighted Citation Impact
0.27

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6G Visible Providing Advanced Weather Services for Autonomous Driving

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6G Visible Providing Advanced Weather Services for Autonomous Driving

Kari Mäenpää, Heikki Myllykoski, Timo Sukuvaara, Hanna Honkanen, Virve Karsisto, Ari Pikkarainen, Etienne Sebag
article en
1 citations

Abstract

Business Finland 6G Visible project’s objective is the development of 6G-era service and architecture solutions utilizing autonomous and semi-autonomous driving, with both physical and logical computational elements and with use cases for real-life verification and validation. Finnish Meteorological Institute is focusing especially on weather- and safety-related services for autonomous vehicles. We are tailoring our road weather services for the special needs of autonomous driving, keeping in mind that autonomous vehicles are more sensitive to the harsh winter weather conditions and benefit from more accurate weather information considering the sensor systems of each vehicle. Employing weather radar-based nowcasting of more accurate short-term precipitation forecasting benefits autonomous traffic, especially in cases of heavy local precipitation by re-routing/route planning and avoiding heaviest precipitation. Evaluation of autonomous vehicles’ sensor systems’ sensitivity to harsh weather conditions allows for weather forecasting based on the real vulnerability of each vehicle.

InformationVol. 15(12)
Finnish Meteorological Institute (FI), Statistics Finland (FI), University of Helsinki (FI)
Helsingin Yliopisto, Oulun Yliopisto, Business Finland
Openalex Percentile: Top 41%
Traffic Prediction and Management Techniques
0.27
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