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TUM Department of Informatics
Technical University of Munich

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Home Teaching Summer Semester 2019 Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS)

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teaching:ss2019:visnav_ss2019 [2019/01/24 18:34]
Nikolaus Demmel [Course Layout]
teaching:ss2019:visnav_ss2019 [2019/01/25 15:44] (current)
Nikolaus Demmel
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 Please direct questions to [[visnav_ss2019@vision.in.tum.de]] Please direct questions to [[visnav_ss2019@vision.in.tum.de]]
  
-Places will be assigned with the course matching system. Please see http://​docmatching.in.tum.de/​ for important dates. +Places will be assigned with the course matching system. Please see http://​docmatching.in.tum.de/ ​for the general procedure and for important dates.
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-<​html><​font color="​red"><​b>​The pre-meeting is on Friday 25.01.2019 at 15:00 in 02.09.023. The pre-meeting is just informational. Attendance is not required to participate in the course, but please watch this website around the time after the pre-meeting for further instructions about the course matching phase.</​b></​font></​html>​ +
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 +Please check the {{:​teaching:​ss2019:​visnav_ss2019:​premeeting_slides.pdf|slides}} from the pre-meeting,​ and the section on "​Requirements"​ below concerning to see what you should do for the course matching phase.
  
 TUMOnline course entry: https://​campus.tum.de/​tumonline/​wbLv.wbShowLVDetail?​pStpSpNr=950404688 TUMOnline course entry: https://​campus.tum.de/​tumonline/​wbLv.wbShowLVDetail?​pStpSpNr=950404688
  
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-<​html><​font color="​red"><​b>​Below info is from the previous semester, and will be updated in time</​b></​font></​html>​ 
  
 == Date & Location == == Date & Location ==
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 Tutored lab time (project phase) : Mondays from 2pm to 6pm in lab 02.05.014 (other times for free project work available, tbd) \\ Tutored lab time (project phase) : Mondays from 2pm to 6pm in lab 02.05.014 (other times for free project work available, tbd) \\
  
-<​html><​font color="​red"><​b>​The course starts on Monday April 29th 2019, 2:00pm in 02.09.023</​b></​font></​html>​+**The course starts on Monday April 29th 2019, 2:​00pm ​(s.t.) ​in 02.09.023.**
  
  
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 The course will take place in our seminar room 02.09.023 and the lab room 02.05.014. In the beginning phase (5 weeks), there will be introductory lectures in room 02.09.023 and then programming assignments that can be worked on on the lab computers in 02.05.014 (or also on your own laptop of you wish). Programming assignment sheets will be handed out every week and should be solved individually. The course will take place in our seminar room 02.09.023 and the lab room 02.05.014. In the beginning phase (5 weeks), there will be introductory lectures in room 02.09.023 and then programming assignments that can be worked on on the lab computers in 02.05.014 (or also on your own laptop of you wish). Programming assignment sheets will be handed out every week and should be solved individually.
  
-In a second phase, you will work in teams of 2-3 students on a practical problem (project). For the rest of the semester, the group meets weekly with their tutors and presents and discusses their progress. At the end of the course, the teams will present their project in a talk and demonstrate their solutions. They will document their project work in a written report. Both the assignments and the project part will be graded, and together determine the final grade.+In a second phase, you will work in teams of 1-3 students on a practical problem (project). For the rest of the semester, the group meets weekly with their tutors and presents and discusses their progress. At the end of the course, the teams will present their project in a talk and demonstrate their solutions. They will document their project work in a written report. Both the assignments and the project part will be graded, and together determine the final grade.
  
 For more details see //Course Layout// below.\\ For more details see //Course Layout// below.\\
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 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. ​ 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. For example, vision-based autonomous navigation ​for platforms ​such as wheeled robots and quadrocopters,​ or vision-based localization and mapping with handheld devices ​will be tackledThis includes, e.g., simultaneous localization and mapping with monocular, stereo, or RGB-D cameras, (semi-)dense 3D reconstruction, obstacle perception and avoidance, or autonomous path planning and execution.+In this course, students will develop and implement algorithms for visual navigation ​and 3D-reconstruction,​ relevant ​for applications ​such as, autonomous navigation of wheeled robots and quadrocopters,​ or tracking of handheld devices. ​The investigated algorithms includede, e.g., visual odometry, structure from motion, simultaneous localization and mapping with monocular, stereo, or RGB-D cameras, (semi-)dense 3D reconstruction.
  
  
 ===== Course Layout ===== ===== Course Layout =====
  
-  * **Lecture & Exercise **: 2 hours per week lecture session, Mondays from 2pm to 4pm. 2 hours per week tutored exercises, Mondays from 4pm to 6pm. There are 4-5 lecture & exercise sessions. Each week, the exercise for the following week will be announced and the exercise of the current week will be presented to tutors. The exercises must be done in groups of 2--3 students. The groups should be formed on the first lecture day. Students can use our lab computers in room 02.05.014. ** Attendance is mandatory. ** +  * **Lecture & Exercise **: 2 hours per week lecture session, Mondays from 2pm to 4pm. 2 hours per week tutored exercises, Mondays from 4pm to 6pm. There are 5 lecture & exercise sessions. Each week, the exercise for the following week will be announced and has do be handed ​in online by each student individually within ​weeks. Students can use our lab computers in room 02.05.014. ** Attendance is mandatory. ** 
-  * **Project **: Each group will be assigned to a project. Students can work in the lab and consult the tutors ​on Mondays from 2pm to 6pm. ** Attendance to meetings with tutors is mandatory. ** Additional lab time for working freely can be arranged. +  * **Project **: After the initial 5 weeks, student should form groups of 1-2. Each group will be assigned to a project. Students can work in the lab (at any time) and consult the tutors ​in a weekly meeting ​to discuss project progress and next steps. ** Attendance to meetings with tutors is mandatory. ** 
-  * **Presentation and demo **: Each group will be assigned a time slot on one of the last days of the semesterto present their results ​and give a live demo, followed by a Q&A session. The presentation shall be 10 minutes long + 5 minutes questions. \\ +  * **Presentation and demo **: Each group will be assigned a time slot on one of the last days of the semester to present their results, followed by a Q&A session. The presentation shall be 10 minutes long + 5 minutes ​for questions. The presentation should comprise 5-10 slides to explain the project goals and results in to fellow students and may include a short live demo or video. \\ 
-  * **Project Report **: Each group writes a report on their project work (10-12 pages, single column, single-spaced lines, 11pt font size; title page, table of content and references will not be accounted for in the page numbers).+  * **Project Report **: Each group writes a report on their project work (10-12 pages, single column, single-spaced lines, 11pt font size; title page, table of content and references will not be accounted for in the page numbers). ​The report should summarize the project goals, what was implemented,​ and what results were obtained. 
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 ===== Literature ===== ===== Literature =====
  

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching

info@vision.in.tum.de