Algorithm keeps autonomous vehicles working in the rain

Aurrigo International has developed a new rainfall algorithm that will help it detect the difference between drops of rain and objects whilst operating in up to 50mm of precipitation per hour.

Alongside new housing to better protect LiDAR sensors, the software breakthrough means the firm’s Auto-DollyTug can move baggage and cargo around airports in intense conditions that previously would have prevented manual operation.

This has been successfully tested in scheduled simulated rain and opportunistic heavy rainfall, both proved by observation and by rain meter readings.

“Traditionally, very heavy rain has presented a significant problem for autonomous vehicles, particularly for LiDAR detection and navigation,” said Simon Brewerton, CTO at Aurrigo International. “AVs using this technology rely on the reflection feedback of laser beams for localisation and object recognition and, in intense weather, the scattering and absorption of laser beams by raindrops can lead to distorted signals, compromising the vehicle's ability to accurately perceive its surroundings.”