During the 4-7 November, the 21st IEEE International Conference on Intelligent Transportation Systems was held in Maui, Hawaii, USA. Thomas Rosenstatter from the Chalmers University of Technology reported on several interesting talks at the conference.
For you who are interested to have a grab on the keynotes, please continue reading. For you who are interesting in reading the entire report, please see the full report HERE.
Summary of the keynotes:
The keynotes were held by Jeff Schneider from Uber’s Advanced Technologies Group, David Anderson from the U.S. Department of Energy and Arnaud de La Fortelle from MINES ParisTech.
Jeff Schneider started his talk with an emphasis that the number of deadly accidents has increased in the U.S. in 2016 and 2017 since 2008. This increase is mainly caused by human drivers who are either not able to comprehend the current traffic situation or are distracted by other thoughts. Schneider focused his talk on the evolution of artificial intelligence in the automotive domain by first talking about the advantages and disadvantages of supervised learning and deep learning, also called imitation learning. Both approaches suffer from the problem to define safety cases, which is also the reason why AI is not applied in safety-critical systems.
David Andersson focused on how the society and technology change by highlighting that 75 percent of the population will live in urban mega-areas, that the population is still growing and aging.
Arnaud de La Fortelle presented the challenges about globalization and localization of Cooperative ITS (C-ITS). The biggest challenge in mobility is the different needs of different cities. “Paris is not San Francisco or Shanghai”, they all need to develop/adopt their own local policies.
Author’s declaration: Note that these summaries in the report are interpretations of the talks and may differ from the presenter’s view.
