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Predicting Driving Conditions for ADAS and AD

Event: AutoSens USA
| Session date: Wednesday 11th June
Session date: Wednesday 11th June
, 2025

Hear from:

Lasse Lumiaho
Lasse Lumiaho
Lasse Lumiaho
Head of Automotive,

Vaisala Xweather

Lasse Lumiaho
Lasse Lumiaho
Lasse Lumiaho
Head of Automotive,

Vaisala Xweather

Modern vehicles are equipped with state-of-the-art sensors for ADAS and AD systems. However, even the most sophisticated sensors have limitations in range and detection capability under various environmental conditions.
Physics-based simulations of weather and road conditions provide additional information, covering the entire road network and detecting phenomena invisible and beyond the range of vehicle sensors. Externally generated road weather forecasts act as an extra sensor, even when no vehicles are present.

The presentation outlines the generic road weather forecasting process, its adaptation for AD/ADAS, and compares the pros and cons of vehicle sensors and forecasts. It also highlights the benefits of using fleet sensor data to enhance forecasts and reviews relevant weather phenomena and their predictability.

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