3 papers
cs.CV2020
StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks
Kai Fischer, Martin Simon, Florian Oelsner +3
Robust point cloud registration in real-time is an important prerequisite for many mapping and localization algorithms. Traditional methods like ICP tend to fail without good initi…
cs.CV2019
Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds
Victor Vaquero, Kai Fischer, Francesc Moreno-Noguer +2
Localization and Mapping is an essential component to enable Autonomous Vehicles navigation, and requires an accuracy exceeding that of commercial GPS-based systems. Current odomet…
cs.CV2019
Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks
Stefan Milz, Martin Simon, Kai Fischer +1
We present the first approach for 3D point-cloud to image translation based on conditional Generative Adversarial Networks (cGAN). The model handles multi-modal information sources…