35 citations · 74 across the 12 of their papers we have counts for
6 papers · 1 filter
Efficient Path Planning in Large Unknown Environments with Switchable System Models for Automated Vehicles
Oliver Schumann, Michael Buchholz, Klaus Dietmayer
Large environments are challenging for path planning algorithms as the size of the configuration space increases. Furthermore, if the environment is mainly unexplored, large amount…
Real-Time Spatial Trajectory Planning for Urban Environments Using Dynamic Optimization
Jona Ruof, Max Bastian Mertens, Michael Buchholz +1
Planning trajectories for automated vehicles in urban environments requires methods with high generality, long planning horizons, and fast update rates. Using a path-velocity decom…
Extrinsic Infrastructure Calibration Using the Hand-Eye Robot-World Formulation
Markus Horn, Thomas Wodtko, Michael Buchholz +1
We propose a certifiably globally optimal approach for solving the hand-eye robot-world problem supporting multiple sensors and targets at once. Further, we leverage this formulati…
LMR: Lane Distance-Based Metric for Trajectory Prediction
Julian Schmidt, Thomas Monninger, Julian Jordan +1
The development of approaches for trajectory prediction requires metrics to validate and compare their performance. Currently established metrics are based on Euclidean distance, w…
Tackling Clutter in Radar Data -- Label Generation and Detection Using PointNet++
Johannes Kopp, Dominik Kellner, Aldi Piroli +1
Radar sensors employed for environment perception, e.g. in autonomous vehicles, output a lot of unwanted clutter. These points, for which no corresponding real objects exist, are a…
Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles
Adrian Holzbock, Nicolai Kern, Christian Waldschmidt +2
We present a joint camera and radar approach to enable autonomous vehicles to understand and react to human gestures in everyday traffic. Initially, we process the radar data with…