111 citations
- Technical University of MunichDE4 papers
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cs.CV2021
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
Fabian Duerr, Mario Pfaller, Hendrik Weigel +1
Understanding and interpreting a 3d environment is a key challenge for autonomous vehicles. Semantic segmentation of 3d point clouds combines 3d information with semantics and ther…
cs.CV2018★ 111 cited
Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks
Seyed Majid Azimi, Peter Fischer, Marco Körner +1
The knowledge about the placement and appearance of lane markings is a prerequisite for the creation of maps with high precision, necessary for autonomous driving, infrastructure m…