activity
20192023
most citedMGNet: Monocular Geometric Scene Understanding for Autonomous Driving

49 citations · 272 across the 27 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.RO2020★ 7 cited

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…

cs.CV2020★ 25 cited

DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration

Markus Horn, Nico Engel, Vasileios Belagiannis +2

This work addresses the problem of point cloud registration using deep neural networks. We propose an approach to predict the alignment between two point clouds with overlapping da…

eess.SY2020

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…

eess.SY2020★ 4 cited

Enabling automated driving by ICT infrastructure: A reference architecture

Michael Buchholz, Jan Strohbeck, Anna-Maria Adaktylos +11

Information and communication technology (ICT) is an enabler for establishing automated vehicles (AVs) in today's traffic systems. By providing complementary and/or redundant infor…

cs.RO2020

Extended Existence Probability Using Digital Maps for Object Verification

Fabian Gies, Joachim Posselt, Michael Buchholz +1

A main task for automated vehicles is an accurate and robust environment perception. Especially, an error-free detection and modeling of other traffic participants is of great impo…