Physics Department, TUM | Course 0000003438 in SS 2021

General Data

Course Type

practical training

Semester Weekly Hours

6 SWS

Organisational Unit

Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers)

Lecturers

Nikolaus Demmel
Responsible/Coordination: Daniel Cremers
Assistants:
David Schubert

Dates

Mon, 14:00–18:00, virtuell
and 1 singular or moved dates

iCalendar

	Date and Time	Room and Remark
!	Mon, 2021-02-08, 13:00–14:00
	Mon, 2021-04-12, 14:00–18:00
	Mon, 2021-04-19, 14:00–18:00
	Mon, 2021-04-26, 14:00–18:00
	Mon, 2021-05-03, 14:00–18:00
	Mon, 2021-05-10, 14:00–18:00
	Mon, 2021-05-17, 14:00–18:00
	Mon, 2021-05-31, 14:00–18:00
	Mon, 2021-06-07, 14:00–18:00
	Mon, 2021-06-14, 14:00–18:00
	Mon, 2021-06-21, 14:00–18:00
	Mon, 2021-06-28, 14:00–18:00
	Mon, 2021-07-05, 14:00–18:00
	Mon, 2021-07-12, 14:00–18:00

Assignment to Modules

IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:
- Further Modules from Other Disciplines

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks	Vision-based localization, mapping, and navigation has recently seen tremendous progress in computer vision and robotics research. Such methods already have a strong impact on applications in fields such as robotics and augmented reality. In this course, students will develop and implement algorithms for visual navigation. This includes, e.g., simultaneous localization and mapping with monocular, stereo, or RGB-D cameras, (semi-)dense 3D reconstruction, obstacle perception and avoidance. First, we will introduce mathematic preliminaries for SLAM, such as 3D rigid body motion, Lie group and Lie algebra, pin-hole camera models, non-linear optimization, etc. Then we continue with basic SLAM modules: visual odometry, back-end optimization, loop closing and dense mapping. In a first part of the course, students will work on programming exercises to acquire practical experience in fundamental aspects of the topic. Afterwards, students will work in teams on projects related to the topic. Up-to-date info: http://vision.in.tum.de/teaching/ss2021/visnav_ss2021
Links	Additional information TUMonline entry

additional remarks

Vision-based localization, mapping, and navigation has recently seen tremendous progress in computer vision and robotics research. Such methods already have a strong impact on applications in fields such as robotics and augmented reality. In this course, students will develop and implement algorithms for visual navigation. This includes, e.g., simultaneous localization and mapping with monocular, stereo, or RGB-D cameras, (semi-)dense 3D reconstruction, obstacle perception and avoidance. First, we will introduce mathematic preliminaries for SLAM, such as 3D rigid body motion, Lie group and Lie algebra, pin-hole camera models, non-linear optimization, etc. Then we continue with basic SLAM modules: visual odometry, back-end optimization, loop closing and dense mapping. In a first part of the course, students will work on programming exercises to acquire practical experience in fundamental aspects of the topic. Afterwards, students will work in teams on projects related to the topic. Up-to-date info: http://vision.in.tum.de/teaching/ss2021/visnav_ss2021

Links

Additional information
TUMonline entry

Equivalent Courses (e. g. in other semesters)

Semester	Title	Lecturers	Dates
SS 2024	Vision-based Navigation (IN2106, IN4174)	Gladkova, M. Responsible/Coordination: Cremers, D. Assistants: Sinitsyn, D.Solonets, S.	Wed, 14:00–18:00, MI 02.09.023 Wed, 14:00–18:00, MI 00.08.053 Wed, 14:00–18:00, MI 02.09.023
SS 2023	Vision-based Navigation (IN2106, IN4174)	Eisenberger, M. Häfner, B. Responsible/Coordination: Cremers, D. Assistants: Chui, P.Klenk, S.	Mon, 14:00–18:00, MI 02.09.023
WS 2022/3	Vision-based Navigation (IN2106)	Eisenberger, M. Häfner, B. Köstler, L. Wenzel, P. Responsible/Coordination: Cremers, D. Assistants: Chui, P.Klenk, S.Solonets, S.	Mon, 14:00–18:00, MI 02.09.023
SS 2022	Vision-based Navigation (IN2106)	Häfner, B. Wenzel, P. Responsible/Coordination: Cremers, D. Assistants: Chui, P.Klenk, S.	Mon, 14:00–18:00, MI 02.09.023
WS 2021/2	Vision-based Navigation (IN2106)	Eisenberger, M. Häfner, B. Responsible/Coordination: Cremers, D. Assistants: Chui, P.Klenk, S.	Mon, 14:00–18:00, MI 01.06.011
WS 2020/1	Vision-based Navigation (IN2106)	Demmel, N. Schubert, D. Responsible/Coordination: Cremers, D.	Mon, 14:00–18:00, MI 02.05.014 and singular or moved dates
SS 2020	Vision-based Navigation (IN2106)	Sommer, C. Responsible/Coordination: Cremers, D. Assistants: Demmel, N.	Mon, 14:00–16:00, MI 02.09.023
WS 2019/20	Vision-based Navigation (IN2106)	Demmel, N. Responsible/Coordination: Cremers, D.	Mon, 14:00–16:00, MI 00.08.055 Mon, 16:00–18:00, MI 02.05.014 and singular or moved dates
SS 2019	Vision-based Navigation (IN2106)	Sommer, C. Responsible/Coordination: Cremers, D. Assistants: Demmel, N.	Mon, 14:00–18:00, MI 02.09.023
WS 2018/9	Vision-based Navigation (IN2106)	Demmel, N. Häfner, B. Responsible/Coordination: Cremers, D.
SS 2018	Vision-based Navigation (IN2106)	Sommer, C. Responsible/Coordination: Cremers, D.	Mon, 14:00–16:00, MI 02.09.023
WS 2017/8	Vision-based Navigation (IN2106, IN4174)	Cremers, D.
WS 2016/7	Practical Course - Vision-based Navigation (IN2106, IN4174)	Responsible/Coordination: Cremers, D.
WS 2015/6	Vision-based Navigation (IN2106)
SS 2015	Vision-based Navigation (IN2106)

Vision-based Navigation (IN2106)

Course 0000003438 in SS 2021

General Data

Assignment to Modules

Further Information

Equivalent Courses (e. g. in other semesters)