7 citations · 8 across the 4 of their papers we have counts for
6 papers
Extrinsic Camera Calibration with Semantic Segmentation
Alexander Tsaregorodtsev, Johannes Müller, Jan Strohbeck +3
Monocular camera sensors are vital to intelligent vehicle operation and automated driving assistance and are also heavily employed in traffic control infrastructure. Calibrating th…
Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic
Thomas Griebel, Johannes Müller, Paul Geisler +4
Reliable tracking algorithms are essential for automated driving. However, the existing consistency measures are not sufficient to meet the increasing safety demands in the automot…
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…
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…
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…