activity
20232026
most citedThree-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality

9 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Automated Digital Twin Construction for Highway Scenarios Using LiDAR Point Clouds and OpenStreetMap

Yongqi Zhao, Dong Bi, Paul Kovacevic +4

Accurate road environment modeling is fundamental to the simulation and validation of automated driving systems. However, constructing road maps in standardized formats such as ASA…

cs.RO2024★ 9 cited

Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality

Sven Goblirsch, Marcel Weinmann, Johannes Betz

This work aims to present a three-dimensional vehicle dynamics state estimation under varying signal quality. Few researchers have investigated the impact of three-dimensional road…

cs.RO2024

Accelerating Autonomy: Insights from Pro Racers in the Era of Autonomous Racing - An Expert Interview Study

Frederik Werner, René Oberhuber, Johannes Betz

This research aims to investigate professional racing drivers' expertise to develop an understanding of their cognitive and adaptive skills to create new autonomy algorithms. An ex…

cs.RO2024

FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap

Maximilian Leitenstern, Florian Sauerbeck, Dominik Kulmer +1

Today's software stacks for autonomous vehicles rely on HD maps to enable sufficient localization, accurate path planning, and reliable motion prediction. Recent developments have…

cs.RO2023

Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving

Florian Sauerbeck, Dominik Kulmer, Markus Pielmeier +3

Autonomous vehicles require accurate and robust localization and mapping algorithms to navigate safely and reliably in urban environments. We present a novel sensor fusion-based pi…