Researchers are using micro-Doppler radar, neural nets and machine learning to protect drivers from the wild critters that enter the road.
A wild boar can ruin a driver's day - and a lot more. Hitting one of these fast-running (up to 25 mph/40 km/h) and heavy (up to 400 lb/181 kg in the southern U.S.) porkers when they dart into a vehicle's path is a serious threat. Indeed, reducing vehicle-to-animal crashes is a global safety concern, one that is the focus of a novel pioneering research study in Europe.
The project, underway at two German universities, aims to classify and differentiate the potential behavior of moving hazards. The researchers are using micro-Doppler radar complemented by cameras and infra-red (IR) sensors, together with neural networks allied to algorithms developed in a machine-learning system. The combination would warn drivers and other road users of dangers ahead.
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20AVEP11_07
Boaring in on Vehicle-to-Animal Road Safety
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Boaring in on Vehicle-to-Animal Road Safety
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