61 citations · 61 across the 4 of their papers we have counts for
4 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…
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…