Advances in AI for Autonomous Driving
Seminar an der Universität des Saarlandes, Fachrichtung Informatik, LSF 151044
Scope:
This seminar (AI4AD) is concerned with advances in autonomous driving research from the perspective of AI. In particular, we will take a closer look at selected techniques and systems of (deep learning-based or neuro-symbolic) AI for autonomous driving with focus on pedestrian behavior prediction and collision-free navigation, and discuss their strengths and weaknesses.
The seminar type is classic in the sense that registered participants will present assigned topics. In addition, there will be two dedicated opponents for each presentation of an assigned topic. Participation in the seminar will be graded; please check the requirements page in this regard.
The seminar counts 7 ECTS credit points (CS).
Prerequisites:
This seminar aims primarily at advanced master students in Computer Science who preferably hold a B.Sc. degree in this or related field. Good knowledge in AI (introductory course on AI covering symbolic knowledge representation and reasoning, machine learning, i.p. deep learning, and automated planning) is required.
Selected background paper references are given on the topic page and expected to be read and utilized by registered participants as appropriate. Attendance of the seminar without registration (no presentation and certificate) by anyone who is interested in the topics is, of course, very much welcome subject to available space. The seminar language is English.
Date and Location:
The seminar is held on Tuesday from 16:15 - 18:00.
First session, the seminar introduction meeting with topic assignments is on April 23, 2024, 16:15 - 18:00.
The seminar takes place in-person at DFKI Saarbrücken, SIC Bldg. D3.2, in room “Turing 2” (NB +2.31). Please ask at the DFKI reception for direction to room "Turing 2".
Application and Topic Assignment:
Application for seminars is possible through the central SIC seminar system from March 12, 2024 to April 17, 2024. Central assignment of students to the seminar will then be done by the system on April 19, 2024.
If you are interested in attending specifically this seminar, we kindly recommend you to
Assignment of seminar topics will be done in two phases:
Remark: If you applied for but have not been assigned to the AI4AD seminar by the central SIC seminar system, please note that the assignments issued by this system are formally not binding for any student to take. Besides, it also happens that the system does not assign students to all available places of a seminar such that places may become re-available after the introduction meeting of the seminar. The late assignment of interested students to these places then will be done by the seminar organizers on request on a first-come-first-served basis with priority for students on the LIP (see above) list.