25 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 3 cited
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
Jialong Wu, Mirko Meuter, Markus Schoeler +1
Radar-based perception has gained increasing attention in autonomous driving, yet the inherent sparsity of radars poses challenges. Radar raw data often contains excessive noise, w…
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…
cs.CV2015★ 25 cited
Semantic Pose using Deep Networks Trained on Synthetic RGB-D
Jeremie Papon, Markus Schoeler
In this work we address the problem of indoor scene understanding from RGB-D images. Specifically, we propose to find instances of common furniture classes, their spatial extent, a…