Smart city: Difference between revisions

2,863 bytes removed ,  15 March 2021
 
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|ta=MSc. Fabian Wölk (fabian.woelk@cs.uni-goettingen.de), MSc. Weijun Wang (weijun.wang@informatik.uni-goettingen.de), Dr. Tingting Yuan (tingt.yuan@hotmail.com)
|ta=MSc. Fabian Wölk (fabian.woelk@cs.uni-goettingen.de), MSc. Weijun Wang (weijun.wang@informatik.uni-goettingen.de), Dr. Tingting Yuan (tingt.yuan@hotmail.com)
|time=Wed. 14:00-16:00  
|time=Wed. 14:00-16:00  
|place= Room 0.103, Institute for Computer Science (mostly will be online)
|place= mostly will be online
|univz= Lunivz link [https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=270448&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
|univz= Lunivz link [https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=270448&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}
}}
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'''Due to the recent situations in the context of Covid-19, new information will be updated here in time, please check this webpage periodically to get the newest information.
'''Due to the recent situations in the context of Covid-19, new information will be updated here in time, please check this webpage periodically to get the newest information.
'''
'''
'''System Group
'''Warm-up task:
The tutorial [https://drive.google.com/file/d/1WZENpDHlkcxr2N3W1_Q03df1T3byVeu0/view?usp=sharing] on warm-up is given on both StudIP and Wiki page.
Tomorrow(Wednesday) system group students '''need to come to the Institute of Informatic 3.0G''' to get your devices. If needed, I will show you the complete hardware and basic software system for your tasks.
Please press the doorbell.
'''Task 1:
The Task 1 description [https://drive.google.com/file/d/1NJ6l1X4RRKlNPqm_biO_g9LvvVMJexFS/view?usp=sharing] has been published. The deadline is 08/12/2020 and the next online class will be on 09/12/2020 which is different from Vision Group.
'''Vision Group
The tutorial on task 2 is given on StudIP.
The next online meeting is on 23.12.2020 for discussion on task 2 and releasing task 3.
The deadline for the report on task 2 is 21th Dec.
If you have any problem, you can send an email to MSc. Fabian Wölk and Dr. Tingting Yuan.


==General Description==
==General Description==
Computer Networks Group, Institute of Computer Science, Universität Göttingen is collaborating with Göttinger Verkehrsbetriebe GmbH (represented by Dipl. Anne-Katrin Engelmann) and setting up this exciting course.
Computer Networks Group, Institute of Computer Science, Universität Göttingen is collaborating with Göttinger Verkehrsbetriebe GmbH (represented by Dipl. Anne-Katrin Engelmann) and setting up this exciting course.


This course covers two aspects on Smart Cities in the context of public transport: event monitoring and passenger counting.  
This course covers two aspects of Smart Cities in the context of public transport: event monitoring and passenger counting.  


The goal of this course is to:
The goal of this course is to:
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* Presentation: 20%
* Presentation: 20%
  For the final presentation, it should be 
**Present on your work with a slide to the audience (in English).
**Present on your work with a slide to the audience (in English).
**20 minutes of presentation followed by 10 minutes Q &A for one student.
**20 minutes of presentation followed by 10 minutes Q &A for one student.
**30 minutes of presentation followed by 15 minutes Q &A for a team with two students.
**30 minutes of presentation followed by 15 minutes Q &A for a team with two students.
  Suggestions for preparing the slides:  Get your audiences to quickly understand the general idea. Figures, tables, and animations are better than sentences. Don't forget a summary of your ideas and contributions.  
Suggestions for preparing the slides:  Get your audiences to quickly understand the general idea. Figures, tables, and animations are better than sentences. Don't forget a summary of your ideas and contributions.  
  All quoted images, tables and text need to indicate their source.
All quoted images, tables and text need to indicate their source.
  Note: The team needs to clearly introduce the division of their work, and both team members need to present their respective work and answer questions. 
Note: The team needs to clearly introduce the division of their work, and both team members need to present their respective work and answer questions. 




* Final report: 30%
* Final report: 30%
  The report must be written in English according to common guidelines for scientific papers, 10-15 pages for a student and 20-25 pages for a team of content (excluding the table of content, bibliography, etc.).  
The report must be written in English according to common guidelines for scientific papers, 6-8 pages for a student and 12-16 pages for a team of content (excluding bibliography, etc.) in double-column latex.  
  Please note that you can not directly copy content from papers or webpages, as this will be considered plagiarism, and we will treat it seriously. All quoted images and tables need to indicate their source.
Please note that you can not directly copy content from papers or webpages, as this will be considered plagiarism, and we will treat it seriously. All quoted images and tables need to indicate their source.
The source code, data (or URL of data) and a manual should be uploaded with the report.


==Schedule==
==Schedule==
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|-
|-
| align="right"|
| align="right"|
  04.11.2020
  w1
| Lecture I: Course Setup [https://drive.google.com/file/d/1krd4swV3brbSAZwW4VzqVisbtu0IOp5x/view?usp=sharing] & Smart City (Online)
| Lecture I: Course Setup [https://drive.google.com/file/d/1krd4swV3brbSAZwW4VzqVisbtu0IOp5x/view?usp=sharing] & Smart City (Online)
| No
| No
|-
|-
| align="right"|
| align="right"|
  11.11.2020
  w2
| Lecture II: Object Detection [https://drive.google.com/file/d/1Zw6JWEL25Czev4tyPoIuNcgNo4SAFNl7/view?usp=sharing] & System Architecture-Video Analytics [https://drive.google.com/file/d/1YdXExCJnOSpZLRY4UH1ltKWAFHW4sItJ/view?usp=sharing] (Online)
| Lecture II: Object Detection [https://drive.google.com/file/d/1Zw6JWEL25Czev4tyPoIuNcgNo4SAFNl7/view?usp=sharing] & System Architecture-Video Analytics [https://drive.google.com/file/d/1YdXExCJnOSpZLRY4UH1ltKWAFHW4sItJ/view?usp=sharing] (Online)
| Papers (release 10 choose 2)
|
|-
|-
| align="right"|
| align="right"|
  18.11.2020
  w3
| Warm-up: (Vision Group) run Yolo for object detection 
| Warm-up
Warm-up: (System Group) initial and run first demo on [https://developer.nvidia.com/embedded/jetson-nano-developer-kit Jetson nano]
| No
| No
|-
|-
| align="right"|
| align="right"|
  25.11.2020
  w4-5
| Task 1: (Vision Group) train Yolo with a new dataset
Task 1: (System Group)  Various object detection pipeline configuration adjustment
| Task 1 report for Vision Group (deadline: 30.11.2020)
Task 1 report for System Group (deadline: 08.12.2020)
|-
| align="right"|
02.12.2020
| Discussion & Task 2: (Vision Group) Yolo for depth image
Task 1: (System Group) Various object detection pipeline configuration adjustment
|Task 2 report (deadline: 21.12.2020)
|-
| align="right" |
09.12.2020
| Task 2: Yolo for depth image
Discussion & Task 2: (System Group) efficient store image from [https://www.intelrealsense.com/depth-camera-d435/ Intel Realsense] camera on Jetson nano
|
|-
| align="right"|
16.12.2020
| Task 2: Yolo for depth image
Task 2: (System Group) efficient store image from [https://www.intelrealsense.com/depth-camera-d435/ Intel Realsense] camera on Jetson nano
|
|-
| align="right" |
23.12.2020
| Discussion on Task 2
|
|-
| align="right"|
30.12.2020
| Holiday
|
|
Task 1
|Report
|-
|-
| align="right"|
| align="right"|
  06.01.2021
  w6-8
| Holiday
|Task 2
|
|Report
|-
| align="right"|
13.01.2021
| Task 3: (Vision Group) Yolo for different topics
Task 3: (System Group) object detection pipeline configuration for different topics
|
|-
| align="right"|
20.01.2021
| Task 3: Yolo for different topics
Task 3: (System Group) object detection pipeline configuration for different topics
|
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| align="right"|
27.01.2021
| Task 3: Yolo for different topics
Task 3: (System Group) object detection pipeline configuration for different topics
|
|-
| align="right" |
03.02.2021
| Task 3: Yolo for different topics
Task 3: (System Group) object detection pipeline configuration for different topics
|
|-
|-
| align="right" |
| align="right" |
  01.03.2021
  w9-14
| Discussion & Brainstorming
| Task 3
|
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|-
|-
| align="right" |
| align="right" |
  15.03.2021
  15.03
|  Final presentations
|  Final presentations
|
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|-
|-
| align="right" |
| align="right" |
  31.03.2021
  31.03
|  Final report
|  Final report
|
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|-
|-
|}
|}
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