2 papers
cs.RO2025
DigiT4TAF -- Bridging Physical and Digital Worlds for Future Transportation Systems
Maximilian Zipfl, Pascal Zwick, Patrick Schulz +22
In the future, mobility will be strongly shaped by the increasing use of digitalization. Not only will individual road users be highly interconnected, but also the road and associa…
cs.NE2019
Exploring Deep Spiking Neural Networks for Automated Driving Applications
Sambit Mohapatra, Heinrich Gotzig, Senthil Yogamani +2
Neural networks have become the standard model for various computer vision tasks in automated driving including semantic segmentation, moving object detection, depth estimation, vi…