6 citations · 11 across the 5 of their papers we have counts for
5 papers
Physically Based Neural LiDAR Resimulation
Richard Marcus, Marc Stamminger
Methods for Novel View Synthesis (NVS) have recently found traction in the field of LiDAR simulation and large-scale 3D scene reconstruction. While solutions for faster rendering o…
Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving Scenarios
Richard Marcus, Christian Vogel, Inga Jatzkowski +2
An important factor in advancing autonomous driving systems is simulation. Yet, there is rather small progress for transferability between the virtual and real world. We revisit th…
GAN-Based LiDAR Intensity Simulation
Richard Marcus, Felix Gabel, Niklas Knoop +1
Realistic vehicle sensor simulation is an important element in developing autonomous driving. As physics-based implementations of visual sensors like LiDAR are complex in practice,…
A Lightweight Machine Learning Pipeline for LiDAR-simulation
Richard Marcus, Niklas Knoop, Bernhard Egger +1
Virtual testing is a crucial task to ensure safety in autonomous driving, and sensor simulation is an important task in this domain. Most current LiDAR simulations are very simplis…
TGView3D System Description: 3-Dimensional Visualization of Theory Graphs
Richard Marcus, Michael Kohlhase, Florian Rabe
We describe TGView3D, an interactive 3D graph viewer optimized for exploring theory graphs. To exploit the three spatial dimensions, it extends a force-directed layout with a hiera…