Dr. Stefano Severi gave a presentation on intelligent transportation systems automation. He discussed how current autonomous vehicles like Google's and Tesla's have limitations because they only rely on intelligence without awareness of the surrounding environment, which has led to accidents. The solution is to use hybridization and data fusion techniques to provide geo-temporal awareness by integrating information from sensors like GPS, radar, cameras and lidar as well as vehicle-to-everything communication. This improved awareness is important for automation to function properly in the complex real world.
2. Page 2
ITS AUTOMATION: AN OLD DREAM…
Kitt (Knight Rider) Google Self Driving Car (Waymo) Tesla
…EVER GOING TO BE TRUE?
3. Page 3
STUDY CASE 1
Google Self Driving Car
§ In case of danger, ordered to stop.
§ It was effectively stopping… but where?
§ Stop as soon as the danger is detected, no other
information taken into account.
§ àACCIDENTS!
4. Page 4
STUDY CASE 2
Tesla fatal crash (Florida)
§ May 2016
§ Summer afternoon
§ White sky
§ White truck turning right
§ Insufficient information
§ àFATAL ACCIDENT!
5. Page 5
WHY DOES THIS HAPPEN?
Because we live in a non-ideal world
Life is strongly non-linear
6. Page 6
SOLUTION
Intelligence (what I do) for automation does not suffice It requires Awareness (what I do related to what happens
around)
21. Page 21
TAKE HOME MESSAGES
1. Automation is made for a strongly non linear world
2. Artificial Intelligence is not the only essential feature for automation
3. Geo-temporal awareness is as much as important
4. Awareness comes from sensed information
5. Diversity is fundamental with respect to sensed information
6. Awareness is improved from exchanged information
7. Architectural designs shall take into account all of the previous
Presentation title28/11/17
22. Page 22
Dr. Stefano Severi
Jacobs University Bremen
Campus Ring 1
28759 Bremen
Germany
+49 421 200 3272
s.severi@jacobs-university.de
CONTACT