The 35th IEEE Intelligent Vehicles Symposium took place in June 2 – 5, 2024, in Jeju Shinhwa World, Jeju Island, Korea.

The IEEE Intelligent Vehicles Symposium (IV) was a premier conference sponsored by the IEEE Intelligent Transportation Systems Society (ITSS). Researchers, engineers, practitioners, and students, from industry, universities and government agencies were invited to present their latest work and to discuss research and applications for intelligent vehicles and vehicle-infrastructure cooperation.

During the IV 2024, a diverse array of 532 research papers in the main conference and 15 workshops and 5 tutorials was presented. These presentations offered valuable insights into the latest standards and technologies shaping the future of intelligent vehicles.

EVENTS project was represented by both UULM & TECNALIA colleagues:

TECNALIA colleagues submitted and presented two papers, as of below:

  • Enhancing Motion Prediction by a Cooperative Framework, by Javier Araluce, Alberto Justo, Asier Arizala, Leonardo Gonzalez and Sergio Dıaz. Paper is available here. The paper was presented in a form of a poster by Mr. Javier Araluce. Poster presentation is available hereMr. Javier Araluce delivered also an oral presentation. His presentation is available here.
  • SimBusters: Bridging Simulation Gaps in Intelligent Vehicles Perception, by Alberto Justo, Javier Araluce, Javier Romera, Mario Rodriguez-Arozamena, Leonardo Gonzalez and Sergio Dıaz. Paper is available here. The paper was presented in a form of a poster by Mr. Alberto Justo. Poster presentation is available here. Mr. Alberto Justo delivered also an oral presentation. His presentation is available here.

UULM colleagues submitted and presented two papers, as of below:

  • Self-Assessment for Multi-Object Tracking Based on Subjective Logic, by Thomas Griebel, Nikolas Dehler, Alexander Scheible, Michael Buchholz, and Klaus Dietmayer.  Paper  will be available here soon! The paper was presented in a form of a poster by Mr. Thomas Griebel. Poster presentation is available here.  (*The authors are involved in the two EU projects EVENTS and PoDIUM).
  • A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking, by Robin Dehler, Martin Herrmann, Jan Strohbeck, Michael Buchholz. Paper  will be available here soon! The paper was presented in a form of a poster by Mr. Robin Dehler. Poster presentation is available here. (*The authors are involved in the two EU projects EVENTS and PoDIUM and the German project AUTOtech.agil).