TeachingWs20CVDLAD

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Seminar: Computer Vision and Deep Learning for Autonomous Driving

PD Dr. Federico Tombari, Nikolas Brasch, Shun-Cheng Wu, Mahdi Saleh, Fabian Manhardt, Yanyan Li
Type: Seminar Module IN0014
SWS: 2+0
ECTS: 5 Credits
Location: Zoom meeting
Time: tba
Course Language: English

Announcements

  • You can submit your motivation letter here.
  • Preliminary Meeting: *July 14th, 11:00-11:30am, Zoom meeting PW: 479686 slides

Introduction

  • The seminar includes a selection of the most recent and relevant papers in the field of computer vision and deep learning aimed at autonomous driving.
  • Papers are selected to cover different aspects of the topic:
    • Semantic Segmentation
    • 3D Scene Understanding
    • Multi-modal sensor fusion
    • SLAM and 3D reconstruction
    • 6D object pose estimation / 3D object recognition
    • Joint depth and visual odometry prediction
    • Synthetic dataset creation
    • Generative models for sym-to-real
    • Semi-supervised large-scale dataset annotations
    • Trajectory planning and lane change prediction
  • The full list of papers will be available a few weeks before the beginning of the semester.

Registration

Requirements

In this Master Seminar (formerly Hauptseminar), each student is asked to select one paper from a list. In order to successfully complete the seminar, participants have to fulfill these requirements:

  • Presentation: The selected paper is presented to the other participants (20 minutes presentation 10 minutes questions). Use the CAMP templates for PowerPoint camp-tum-jhu-slides.zip, or Latex: CAMP-latex-template.
  • Blog Post: Will be clarified in the first session.
  • Attendance: Participants have to participate actively in all seminar sessions.

The students are required to attend each seminar presentation which will be held during this course. Each presentation is followed by a discussion and everyone is encouraged to actively participate. The blog post must include all references used and must be written completely in your own words. Copy and paste will not be tolerated. Both blog post and presentation have to be done in English.

List of Topics and Material

A list of papers will be announced here.

Nr Authors Title Topic Conference Link Tutor Student

Schedule

The schedule for the paper presentations will be announced here during the semester. Each student is required to attend all presentations.

Date Time Place Speaker Topic Invited External Talk
Tue, July 14, 2020 11:00-11:30 Zoom meeting PW: 479686 slides Federico Preliminary meeting  


TeachingForm
Title: Computer Vision and Deep Learning for Autonomous Driving
Professor: PD Dr. Federico Tombari
Tutors: Nikolas Brasch, Shun-Cheng Wu, Mahdi Saleh, Fabian Manhardt, Yanyan Li
Type: Hauptseminar
Information: Hauptseminar, SWS: 2, ECTS: 5
Term: 2020WiSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.5 - 14 Jul 2020 - 09:49 - NikolasBrasch

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