We proudly attended the 27th IEEE International Conference on Intelligent Transportation Systems (ITSC) 2024 in Edmonton, Canada.
We were thrilled to organize the invited session about Self-Assessment of Perception Systems and are proud to present the following papers that will soon be available on IEEEXplore (ieeexplore.ieee.org) and on OPen Access Repositorium Ulm University (oparu.uni-ulm.de):
➡ Towards an Advanced Self-Monitoring Tracking Module: Leveraging Statistical Hypothesis Tests and Subjective Logic Reasoning (Thomas Griebel)
➡ Self-Monitored Detection Probability Estimation for the Labeled Multi-Bernoulli Filter (Alexander Scheible)
➡ The ADUULM-360 Dataset - a Multi-Modal Dataset for Depth Estimation in Adverse Weather (Markus Schön)
➡ Self-Assessment of Evidential Grid Map Fusion for Robust Motion Planning (Oliver Schumann) https://lnkd.in/eeJ8Tcui
➡ Self-Assessment and Correction of Sensor Synchronization (Thomas Wodtko) https://lnkd.in/e2BjDWRM
Also, we want to thank all participants for the fruitful discussions and a big shout out to all our Co-Authors and our Team at home for this opportunity!
Michael Buchholz and Klaus Dietmayer.
Fundings:
AUTOtech.agil, EVENTSproject22, PoDIUM Project, U-Shift
IEEE International Conference on Intelligent Transportation Systems (ITSC) 2024 in Edmonton, Canada
Ulm University Ulm University
We proudly attended the 27th IEEE International Conference on Intelligent Transportation Systems (ITSC) 2024 in Edmonton, Canada. We were thrilled to organize the invited session about Self-Assessment of Perception Systems and are proud to present the following papers.