activity
20192022
most citedSituation-Aware Environment Perception Using a Multi-Layer Attention Map

27 citations · 35 across the 6 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.SP2019

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…

eess.SY2019

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…

eess.SP2019

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…

eess.SP2019

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…

eess.SP2019

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…