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teaching:ss2019:visnav_ss2019 [2019/01/14 08:49] Nikolaus Demmel |
teaching:ss2019:visnav_ss2019 [2019/01/25 15:44] 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:// | + | Places will be assigned with the course matching system. Please see http:// |
- | < | + | Please check the {{:teaching: |
- | ---- | + | TUMOnline course entry: https:// |
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- | < | ||
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- | TUMOnline course entry: https:// | ||
== Date & Location == | == Date & Location == | ||
- | Lecture & exercises (assignment phase) : Mondays, lectures approx. 2pm to 4pm (starting 2:00 sharp) in 02.05.014, tutoring of exercises approx. 4pm to 6pm in 02.05.014 \\ | + | Lecture & exercises (assignment phase): Mondays, lectures approx. 2pm to 4pm (starting 2:00 sharp) in 02.09.023, tutoring of exercises approx. 4pm to 6pm in 02.05.014 \\ |
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) \\ | ||
- | < | + | **The course starts on Monday |
== Course Structure == | == Course Structure == | ||
- | The course will take place in the lab room 02.05.014. In the beginning phase (4-5 weeks), there will be introductory lectures in room 02.05.014. Programming assignment sheets | + | 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 |
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+ | In a second phase, | ||
For more details see //Course Layout// below.\\ | For more details see //Course Layout// below.\\ | ||
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Vision-based localization, | Vision-based localization, | ||
- | In this course, students will develop and implement algorithms for visual navigation. For example, vision-based autonomous navigation | + | In this course, students will develop and implement algorithms for visual navigation |
===== 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 |
- | * **Project **: Each group will be assigned to a project. Students can work in the lab and consult the tutors | + | * **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 |
- | * **Presentation and demo **: Each group will be assigned a time slot on one of the last days of the semester, to present their results | + | * **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 |
- | * **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). |
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===== Literature ===== | ===== Literature ===== | ||
- | Relevant courses: | + | A good introduction to many aspects of computer vision relevant for the practical project is the following course, which has recordings on YouTube: |
* Computer Vision II: Multiple View Geometry, http:// | * Computer Vision II: Multiple View Geometry, http:// | ||
The following book also covers many aspects. You should focus on Part II and III and selected background from Part I as needed: | The following book also covers many aspects. You should focus on Part II and III and selected background from Part I as needed: | ||
- | * Timothy D. Barfoot, "State Estimation for Robotics", | + | * Timothy D. Barfoot, "State Estimation for Robotics", |
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- | Free pdf available: http:// | + | |
Less relevant, but still helpful: | Less relevant, but still helpful: | ||
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===== Slides ===== | ===== Slides ===== | ||
- | Additional material can be downloaded from [[teaching:ws2018:visnav_ws2018: | + | Additional material can be downloaded from [[teaching:ss2019:visnav_ss2019: |