Seminar: Computer Vision and Deep Learning for Autonomous Driving
PD Dr. Federico Tombari
, Prof. Nassir Navab
, Fabian Manhardt
, Johanna Wald
Seminar Module IN0014
CAMP Seminar Room, 03.13.010
- The slides of the preliminary meeting are available.
- If interested in registering for the Seminar, you can send us your motivation letter (plus relevant courses that you have taken) at cvdlad-w18[at]googlegroups.com. Please note that the official application has to be done via the TUM Matching System.
- 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:
- (Lightweight) Semantic Segmentation
- Scene Understanding
- Multi-modal sensor fusion
- SLAM and 3D reconstruction
- Joint depth and visual odometry prediction
- Synthetic dataset creation
- Car simulators
- 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.
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.
- Written Report: A document of maximum 8 pages is written and submitted one week after the presentation. Please download and use the llncs2e.zip Latex template.
- 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 report must include all references used and must be written completely in your own words
. Copy and paste will not be tolerated. Both report and presentation have to be done in English
List of Topics and Material
A list of papers will be announced here.
The schedule for the paper presentations will be announced here during the semester. Each student is required to attend all presentations.