188.989 Visual Perception for Autonomous Navigation/Cars/Robots Canceled
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021W, VU, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to classify terms and concepts for camera-based navigation. Students of this course will be able to independently evaluate and read relevant literature in the research area of camera based navigation. In addition, the students gain a first experience in programming and algorithmic implementation of visual odometry algorithms.

Subject of course

We will discuss:

  • Camera geometry
    • Target based calibration
    • Numerical optimization
  • Stereo Cameras
    • Multi View geometry
    • Stereo rectification
    • Stereo Matching
  • Optical flow
    • Optical flow model
    • Dense and sparse methods
  • Visuelle odometry
    • Lie groups and rotation matrices
    • Stereo odometry
    • Monocular  odometrie
  • SLAM
    • Kalman Filter
    • PTAM
    • DTAM

Teaching methods

In order to deepen the understanding of the contents of the lecture, three worksheets will be distributed throughout the course. The worksheets contain 2-3 calculation tasks and 1-2 programming tasks.

Mode of examination

Oral

Additional information

IMPORTANT: The course "Visual Perception for Autonomous Navigation/Cars/Robots" will not take place in winter semester 2021/22. The next semester in which you can attend this course will be summer semester 2022 or winter semester 2022/23 at the latest.

Detailed course information will be presented in a preliminary discussion in the first lecture on the 1st Oct. 2020.

ECTS-Breakdown: 75h:

  • 15h Lectures (5*3h)
  • 45h Programming exercise (3*13h )
  • 13h Test preparation
  • 2h   Test

Lecturers

Institute

Examination modalities

The performance evaluation of the lecture is based on the results of the worksheets and an oral examination at the end of the semester.

Course registration

Begin End Deregistration end
02.09.2021 00:00 17.10.2021 00:00 17.10.2021 00:00

Curricula

Study CodeSemesterPrecon.Info
066 932 Visual Computing

Literature

No lecture notes are available.

Previous knowledge

Requirements:

  • basic programming skills
  • basic knowledge of linear algebra and analysis
  • basic knowledge in image processing

Accompanying courses

Language

English