75 citations · 169 across the 10 of their papers we have counts for
10 papers
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…
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…
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing
Phillip Karle, Felix Fent, Sebastian Huch +2
Reliable detection and tracking of surrounding objects are indispensable for comprehensive motion prediction and planning of autonomous vehicles. Due to the limitations of individu…
EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application
Phillip Karle, Tobias Betz, Marcin Bosk +31
While current research and development of autonomous driving primarily focuses on developing new features and algorithms, the transfer from isolated software components into an ent…
RACECAR -- The Dataset for High-Speed Autonomous Racing
Amar Kulkarni, John Chrosniak, Emory Ducote +6
This paper describes the first open dataset for full-scale and high-speed autonomous racing. Multi-modal sensor data has been collected from fully autonomous Indy race cars operati…
DeepSTEP -- Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles
Sebastian Huch, Florian Sauerbeck, Johannes Betz
Autonomous vehicles demand high accuracy and robustness of perception algorithms. To develop efficient and scalable perception algorithms, the maximum information should be extract…
RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps
Florian Sauerbeck, Benjamin Obermeier, Martin Rudolph +1
In this paper, we present a novel method for integrating 3D LiDAR depth measurements into the existing ORB-SLAM3 by building upon the RGB-D mode. We propose and compare two methods…
Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom
Johannes Betz, Hongrui Zheng, Zirui Zang +8
Although robotics courses are well established in higher education, the courses often focus on theory and sometimes lack the systematic coverage of the techniques involved in devel…
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge
Johannes Betz, Tobias Betz, Felix Fent +16
For decades, motorsport has been an incubator for innovations in the automotive sector and brought forth systems like disk brakes or rearview mirrors. Autonomous racing series such…
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits
Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz +15
Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Auton-omous Motorsports will participate…