27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024) took place between 24-27 September 2024, in Edmonton, Canada.
The IEEE International Conference on Intelligent Transportation Systems (ITSC) is an annual flagship conference of the IEEE Intelligent Transportation Systems Society (ITSS). Researchers, engineers, practitioners, and students, from industry, universities and government agencies are invited to present their latest work and to discuss research and applications for intelligent vehicles and vehicle-infrastructure cooperation.
ITSC welcomes articles in the field of intelligent vehicles dealing with new developments in theory and applications, vehicle technologies and demonstrations. It also welcomes proposals for workshops and tutorial sessions to be offered the day before the symposium.
All accepted papers will be included in the proceedings at IEEE Xplore.
EVENTS has a two fold representation:
- A paper entitled “Self-Monitored Detection Probability Estimation for the Labeled Multi-Bernoulli Filter“, was submitted by Alexander Scheible, Thomas Griebel, Michael Buchholz from UULM. The paper was presented by Alexander Scheible and it will be available here soon. The presentation of the aforementioned paper will be also available here soon. This paper was jointly prepared within EVENTS and PoDIUM EU projects.
- EVENTS organized an Invited Session entitled: “Self-Assessment of Perception Systems”. The contributing accepted and presented papers, as part of this session, were:
- A paper entitled “Towards an Advanced Self-Monitoring Tracking Module: Leveraging Statistical Hypothesis Tests and Subjective Logic Reasoning“, was submitted by Thomas Griebel, Alexander Scheible, Michael Buchholz, Klaus Dietmayer. The paper was presented by Thomas Griebel and it will be available here soon. The presentation of the aforementioned paper will be also available here soon. This paper was jointly prepared within EVENTS and PoDIUM EU projects.
- A paper entitled “Integrity Monitoring of 3D Object Detection in Automated Driving Systems using Raw Activation Patterns and Spatial Filtering“, was submitted by Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos and Roger Woodman. The paper was presented by Alireza Ahrabian and it will be available here soon. The presentation of the aforementioned paper will be also available here soon.
- A paper entitled “Deep learning- based covariance estimation for relative pose measurements“, was submitted by Alireza Ahrabian, Nikos Toulios, Quan Nguyen, and Anthony Ohazulike. The paper was presented by Alireza Ahrabian and it will be available here soon. The presentation of the aforementioned paper will be also available here soon.
