During the interdisciplinary programme of the BMW Summer School 2018, 34 international PhD students, research peers and industry experts shared their visions and discussed current advances and challenges in the field of Emotion-Aware Vehicle Assistants (EVA).
Raitenhaslach/Munich. During the interdisciplinary programme of the BMW Summer School 2018, 34 international PhD students, research peers and industry experts shared their visions and discussed current advances and challenges in the field of Emotion-Aware Vehicle Assistants (EVA).
The BMW Summer School 2018 was jointly set up in cooperation with the Franco-German University (UFA), EURECOM, Technical University of Munich (TUM) and BayFrance under the umbrella of the German French Academy for the Industry of the Future by TUM and the IMT (Institut Mines-Télécom). To mark the 150th anniversary of the TUM, the BMW Summer School was held at the TUM Science & Study Centre Raitenhaslach from 29 July to 3 August 2018. Applicants were invited to submit their research in relevant fields, such as user centric interaction design, in-vehicle sensate environments, cognitive models, data analytics for emotion-aware systems, psychology of passengers in autonomous vehicles, human mind and ethics of emotion-aware systems by 15 May 2018.
Mobility currently dominated by a number of powerful trends.
Advances in artificial intelligence and machine learning are essential for autonomous driving and the rise of fully-connected vehicles as they merge with the Internet of Things. A broad spectrum of smart services for organising personal mobility and providing features that reach well beyond the car are being developed and handled for customers by emerging Intelligent Personal Assistants. The participants in this year’s BMW Summer School had the opportunity to listen, share and learn about research topics and current frontiers in machine intelligence.
Summer School fosters interaction between academic and industry research in three main programme tracks.
In the keynote track, guest speakers such as Alexander Zadorojniy from the IBM Research Lab Haifa and Mohammed Ezz from Affectiva shared and discussed their ideas with participants. In breakout sessions, small student groups discussed topics like machine learning methods in autonomous cars and intelligent mobility services together with research peers and industry experts.
In the poster track, the PhD students presented their own research to the interdisciplinary audience. “While all presentations were great, in this year’s competition on the best research poster, Francesco Walker from University of Twente convinced our scientific committee with his research idea and to-the-point presentation on the benefits of extended peripersonal space during automated driving,” said Dr. Hans-Jörg Vögel, responsible for research into Artificial Intelligence and Cognitive Services at the BMW Group.