Organizer: M.Sc. Sina Shafaei
Contact: shafaei (at) in.tum.de
Registration: Via Matching System and Submitted Application
Semester: Winter Semester 2019/20
Target Group: Highly motivated master students interested in research
Time & Location: 13:00-15:00 / 02.09.023 (Kick off session + presentation dates)
- Slides of the kick-off session (18.10.2019): Here
- The first official session of the seminar, for the registered students, will be on 18.10.2019.
- There is no preliminary (pre-course) session for this seminar, registration is only possible by submitting an application of interest over email and respectively applying through matching system.
The main focus of this seminar is to study the emotional awareness in the era of autonomous driving. Emotional awareness covers a wide range of domains from in-cabin comfort and well-being of the occupants to the safety of the passengers and pedestrians. Students will study each one of the aspects which has impact on increasing and maintaining the awareness in detail with covering the state-of-the-art publications during the recent years and together will demonstrate the importance along with the achievements in both science and industry.
In our first session on 18.10.2019 students will form their group (of two members) and we will discuss the available topics. Each group will get assigned to one topic according to their own preference. Groups will collect the necessary materials (state of the art scientific works e.g. scientific publications) within the context of their topic and will perform their research based on the collected resources. Each group will be given 40 minutes on their specified date (are listed in below) to represent the findings, and address the research questions of their own topic. Respectively, they will write and submit a scientific paper (IEEE template) with minimum 6 pages, depicting their findings and the main contribution of their work during seminar.
|C- Effects of Driver and Passengers Emotions on Driving Style (level 3 & 4)||10.01.2020|
|D- Facial-based Approaches for Emotion Recognition in Cabin||10.01.2020|
|E- Audio-based Approaches for Emotion Recognition in Cabin||17.01.2020|
|F- Modeling Driver/Passenger Behavior According to Emotional States for In-Cabin Environment||17.01.2020|