Intendierte Lernergebnisse
In this seminar, students will get familiar with selected fundamentals of Self-Driving Vehicles. In particular, each student will deeply study one or more papers related to a subject related to data mining and/or pattern recognition in the frame of self-driving vehicles.
Lehrmethodik inkl. Einsatz von eLearning-Tools
GLOBAL PLAN:###########1) Kick-Off Meeting (at Semester begin): introductory presentation, topics selection by the student, brief overview of related papers and documents.1) A comprehensive Tutorial Part on "Fundamentals of DATA ANALYTICS" (3-4 sessions at semester beginn)2) Intermediate presentations (after 3-4 Weeks): here students present their global plannings and their first rough ideas. A related feedback is provided.3) Final presentations: 1st-2nd week of June 4) Final paper/report submission: around last week of June or first half of July
Inhalt/e
Selected topics (not exhaustive):############################ Learning Driver Behavior Models from Traffic Observations for DecisionMaking and Planning# Driver Behavior Profiling Using Smartphones# Modeling the Driving Behavior of Electric Vehicles Using Smartphones and Neural Networks# The Impact of an Anticipatory Eco-Driver Assistant System in Different Complex Driving Situations on the Driver Behavior# Velocity-Based Driver Intent Inference at Urban Intersections in the Presence of Preceding Vehicles# The Attentive Co-Pilot: Towards a Proactive Biologically-Inspired Advanced Driver Assistance System.