Master Seminar "3D Perception for Autonomous Driving"

Organizer: Walter Zimmer

Contact: walter.zimmer (at) tum.de

Modul: IN2107

Registration: Via Matching System

Type: Master Seminar

Semester: Summer Semester 2022

ECTS: 5.0

Time & Location: Fridays, 9:00 - 11:00 & Online Sessions via Zoom

                                                                            


News

  • Preliminary Meeting:
  • Registration:
    • Please provide a CV and a couple of sentences about yourself and your motivation related to this seminar until February, 15th 2022
    • Please send your documents to "walter.zimmer (at) tum.de" and "bare.luka.zagar (at) tum.de" with the subject line "Master Seminar: 3D Perception for Autonomous Driving" ).
  • Schedule:
    • Friday, April, 29 2022, 09:00 - 10:00 AM (zoom) - Introduction Session
      • Homework: Group formation and selection of preferred topics
    • Friday, May, 06 2022, 09:00 - 10:00 AM (zoom) - Scientific Paper Writing
      • Homework: Collecting materials (scientific papers)
    • Friday, May, 13 2022, 09:00 - 11:00 AM (zoom) - Presentation of collected materials (scientific papers)
      • Homework: Research the State-of-the-Art
    • Friday, May, 27 2022, 09:00 - 11:00 AM (zoom) - Presentation of the State-of-the-Art
      • Homework: Prepare first draft version of the report (State-of-the-Art)
    • Friday, June, 10 2022, 09:00 - 11:00 AM (zoom) - Presentation of report draft
      • Homework: Prepare final draft version of the report (max. 8 pages)
    • Friday, June, 24 2022, 09:00 - 11:00 AM (zoom) - Presentation of final draft
      • Homework: Review the final draft of another group (Peer-Review)
    • Friday, July, 8 2022, 09:00 - 11:00 AM (zoom) - Final draft review presentation
      • Homework: Update your final report based on the peer-review
    • Friday, July, 22 2022, 09:00 - 11:00 AM (zoom) - Submission of final report
      • Homework (optional): Research some conferences/journals for submission
    • Friday, August, 5 2022, 09:00 - 11:00 AM (zoom) - Final seminar (closing)
  • Approach in the seminar:
    • Students will be asked to provide an extensive literature review on the topics, a detailed comparison between recent studies in the direction of the topics given.
    • Throughout the seminar, students need to provide a draft report, a final report, a presentation, and a peer-review on one of the reports submitted by peers.
    • There will be an introductory session, in which the seminar and the topics will be introduced.
  • The slides and topics of this seminar will be linked here after the preliminary meeting.

Content

The ultimate aim of autonomous driving problem is to design self-driving cars that safely and comfortably navigate on the roads without human intervention. Since visual data contains rich information about the environment, this type of data can be utilized for autonomous driving tasks.

In this seminar course, students will investigate different autonomous driving related tasks that involve visual data processing methods. The focus of the given topics are visual feature extraction and learning methods used in the intersection of computer vision and autonomous driving domain.