Advances in AI for Autonomous Driving

Seminar an der Universität des Saarlandes, Fachrichtung Informatik,  LSF 145839


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 (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, and discuss the strength and weaknesses of presented approaches. 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).


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 31.10.2023, 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  September 22 to October 24, 2023. Central assignment of students to the seminar will then be done by the system  on October 26, 2023.

If you are interested in attending specifically this seminar,  we kindly recommend you to

  • send an request by e-mail to the seminar leader to put you on the list of very interested parties (LIP) as soon as possible - the topic list is already available from July 27, 2023 on! Please indicate your full name, enrollment# and free topics in the order of your preference , AND
  • apply for this seminar in the central SIC seminar system with indication of priority  “High” and top rank , AND
  • attend the introduction meeting of this seminar for topic assignment

Assignment of seminar topics will be done in two phases:

  1. Initial assignment: During seminar introduction meeting on 31.10.2023 (16:15-18:00, DFKI NB R +2.31 “Turing 2”)
  2. Late assignment: If there are still free slots (topics) available after the introduction meeting-  pls  check the Topics page - students can apply for them by sending an e-mail (with your full name, enrollment# and a list of free topics in the order of your preference)  to and decision by the seminar leader. “First-come-first-served” assignment  to students with priority for those on the LIP.

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.