36 citations · 47 across the 4 of their papers we have counts for
10 papers
Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions
Markus Horn, Thomas Wodtko, Michael Buchholz +1
In this work, we propose an approach for extrinsic sensor calibration from per-sensor ego-motion estimates. Our problem formulation is based on dual quaternions, enabling two diffe…
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…
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…
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…
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…
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…