activity
20192023
most citedA Lightweight Machine Learning Pipeline for LiDAR-simulation

6 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 3 cited

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,…

eess.SP2023

A Realistic Radar Ray Tracing Simulator for Hand Pose Imaging

Johanna Bräunig, Christian Schüßler, Vanessa Wirth +3

With the increasing popularity of human-computer interaction applications, there is also growing interest in generating sufficiently large and diverse data sets for automatic radar…

eess.SP2023★ 6 cited

Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by exploiting Ray Meta Data of a Radar Ray Tracing Simulator

Christian Schüßler, Marcel Hoffmann, Vanessa Wirth +4

In this work a novel radar simulation concept is introduced that allows to simulate realistic radar data for Range, Doppler, and for arbitrary antenna positions in an efficient way…

cs.CV2022★ 6 cited

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…

cs.CV2019

LumiPath -- Towards Real-time Physically-based Rendering on Embedded Devices

Laura Fink, Sing Chun Lee, Jie Ying Wu +6

With the increasing computational power of today's workstations, real-time physically-based rendering is within reach, rapidly gaining attention across a variety of domains. These…