4 citations · 5 across the 6 of their papers we have counts for
7 papers
Multi-objective path tracking control for car-like vehicles with differentially bounded n-smooth output
Karin Festl, Michael Stolz, Daniel Watzenig
When designing path tracking controllers for car-like vehicles, two main aspects are the tracking performance and the characteristics of the actuation signal. Our work bases on an…
Performance of Graph Database Management Systems as route planning solutions for different data and usage characteristics
Karin Festl, Patrick Promitzer, Daniel Watzenig +1
Graph databases have grown in popularity in recent years as they are able to efficiently store and query complex relationships between data. Incidentally, navigation data and road…
Dual-Weight Particle Filter for Radar-Based Dynamic Bayesian Grid Maps
Max Peter Ronecker, Michael Stolz, Daniel Watzenig
Through constant improvements in recent years radar sensors have become a viable alternative to lidar as the main distancing sensor of an autonomous vehicle. Although robust and wi…
An Inverse Optimal Control Approach for Trajectory Prediction of Autonomous Race Cars
Rudolf Reiter, Florian Messerer, Markus Schratter +2
This paper proposes an optimization-based approach to predict trajectories of autonomous race cars. We assume that the observed trajectory is the result of an optimization problem…
Extraction and Assessment of Naturalistic Human Driving Trajectories from Infrastructure Camera and Radar Sensors
Dominik Notz, Felix Becker, Thomas Kühbeck +1
Collecting realistic driving trajectories is crucial for training machine learning models that imitate human driving behavior. Most of today's autonomous driving datasets contain o…
Pedestrian Collision Avoidance System for Scenarios with Occlusions
Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer +1
Safe autonomous driving in urban areas requires robust algorithms to avoid collisions with other traffic participants with limited perception ability. Current deployed approaches r…
Safe learning-based optimal motion planning for automated driving
Zlatan Ajanovic, Bakir Lacevic, Georg Stettinger +2
This paper presents preliminary work on learning the search heuristic for the optimal motion planning for automated driving in urban traffic. Previous work considered search-based…