most citedQuantification of Uncertainties in Deep Learning-based Environment Perception

4 citations · 9 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2023★ 2 cited

CASPNet++: Joint Multi-Agent Motion Prediction

Maximilian Schäfer, Kun Zhao, Anton Kummert

The prediction of road users' future motion is a critical task in supporting advanced driver-assistance systems (ADAS). It plays an even more crucial role for autonomous driving (A…

cs.CV2023★ 3 cited

Semantic Segmentation of Radar Detections using Convolutions on Point Clouds

Marco Braun, Alessandro Cennamo, Markus Schoeler +2

For autonomous driving, radar sensors provide superior reliability regardless of weather conditions as well as a significantly high detection range. State-of-the-art algorithms for…