7 citations · 8 across the 3 of their papers we have counts for
6 papers
Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors
Johannes Müller, Jan Strohbeck, Martin Herrmann +1
Motion planning at urban intersections that accounts for the situation context, handles occlusions, and deals with measurement and prediction uncertainty is a major challenge on th…
LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association*
Martin Herrmann, Aldi Piroli, Jan Strohbeck +2
Autonomous vehicles need precise knowledge on dynamic objects in their surroundings. Especially in urban areas with many objects and possible occlusions, an infrastructure system b…
Kalman Filter Meets Subjective Logic: A Self-Assessing Kalman Filter Using Subjective Logic
Thomas Griebel, Johannes Müller, Michael Buchholz +1
Self-assessment is a key to safety and robustness in automated driving. In order to design safer and more robust automated driving functions, the goal is to self-assess the perform…
LACI: Low-effort Automatic Calibration of Infrastructure Sensors
Johannes Müller, Martin Herrmann, Jan Strohbeck +2
Sensor calibration usually is a time consuming yet important task. While classical approaches are sensor-specific and often need calibration targets as well as a widely overlapping…
A Risk and Comfort Optimizing Motion Planning Scheme for Merging Scenarios
Johannes Müller, Michael Buchholz
Motion planning for merging scenarios accounting for measurement and prediction uncertainties is a major challenge on the way to autonomous driving. Classical methods subdivide the…
Environment Modeling Based on Generic Infrastructure Sensor Interfaces Using a Centralized Labeled-Multi-Bernoulli Filter
Martin Herrmann, Johannes Müller, Jan Strohbeck +1
Urban intersections put high demands on fully automated vehicles, in particular, if occlusion occurs. In order to resolve such and support vehicles in unclear situations, a popular…