737 citations
- Universität UlmDE65 papers
- Helmholtz-Institute UlmDE7 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE5 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR3 papers
- Robert Bosch (Netherlands)NL3 papers
- Technical University of DenmarkDK3 papers
- University of CambridgeGB3 papers
- Center for Integrated Quantum Science and TechnologyDE2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- École de management de LyonFR2 papers
- Jet Propulsion LaboratoryUS2 papers
- Robert Bosch (Germany)DE2 papers
Showing 2020Show all
3 papers · 1 filter
cs.CV2020★ 3 cited
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection
Di Feng, Zining Wang, Yiyang Zhou +5
The availability of many real-world driving datasets is a key reason behind the recent progress of object detection algorithms in autonomous driving. However, there exist ambiguity…
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…
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…