Accelerating neural networks embedded on a microcomputer trained on KITTI

Due to a high contribution of human error in fatal traffic accidents, efforts in research and industry for automating vehicles steadily increased the last 3 decades. To reduce accidents with other road users, automated recognition and classification of road users is crucial. The most accurate models are large convolutional neural networks,...

Concept front-end design of future smart vehicle “pedestrian safety through vehicle design”

Over a third of all traffic relative fatalities and injuries all over the world are pedestrians and with ongoing developments the numbers are expected to rise even further. After years of research and testing in the field of crash safety and combined with legislative stimulation the automotive industry has made significant improvements in...