49 citations · 272 across the 27 of their papers we have counts for
6 papers · 1 filter
Subjective Logic-based Identification of Markov Chains and Its Application to CAV's Safety
Johannes Müller, Thomas Griebel, Michael Gabb +1
A reliable estimation of the communication chan-nel which connects automated vehicles is an important steptowards the safety of connected and automated vehicles. The communication…
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…
A Trust Management and Misbehaviour Detection Mechanism for Multi-Agent Systems and its Application to Intelligent Transportation Systems
Johannes Müller, Tobias Meuser, Ralf Steinmetz +1
Cooperative information shared among a multi-agent system (MAS) can be useful to agents to efficiently fulfill their missions. Relying on wrong information, however, can have sever…
A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's Safety
Johannes Müller, Michael Gabb, Michael Buchholz
Use of cooperative information, distributed by road-side units, offers large potential for intelligent vehicles (IVs). As vehicle automation progresses and cooperative perception i…