Diskussion:Signalverarbeitung mit MATLAB und Künstlicher Intelligenz: Unterschied zwischen den Versionen

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* Worked on person, dog and cat detection with YOLO models
* Worked on person, dog and cat detection with YOLO models
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| 4|| 13.12.24 |* Research on methods of doing lane tracking with AI| ||
| 4|| 13.12.24 || * Research on methods of doing lane tracking with AI||
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|5|| 20.12.24|| ||
|5|| 20.12.24|| ||

Version vom 13. Januar 2025, 11:29 Uhr

# date plan for the next week work progress
1 14.11.2024
  • safety briefing for the lab
  • SVN/Wiki login
  • time report in Sciebo
  • make a mind map of your project and discuss it with Prof. Schneider
  • Done with mind map and shared with Prof. Schneider
  • Got Wiki Author acess from Mr Robin Schröde
2 22.11.2024
  • mind map givs an overview
  • intensify the research
  • project plan and documentation as a gantt-chart
  • discuss research results and project plan with Prof. Schneider
  • Researched on Neurons and how to create an artificial neuron network and Mathlab AI toolkits
  • Included mindmap on project Page as a sub topic
  • Gathering research results to discuss with Prof. Schneider alongside designing of the proejct plan
3 06.12.2024
  • What tasks of an image processing can be done by AI? E.g. Lane Detection
  • Can AI be used to easily set up controllers like Line-Follower?
  • Can AI be used to easily detect objects?
  • Let us identify tasks that are solved in a classic way and with AI.
  • What can the MATLAB Toolboxes be used for?
  • Researched on image processing
  • Researched on how AI image processing works
  • Looked at various image processing task that can be done by AI
  • Worked on circular object detection with Houghs Transform
  • Worked on person, dog and cat detection with YOLO models
4 13.12.24 * Research on methods of doing lane tracking with AI
5 20.12.24
6 27.12.24
7 02.01.2025
8 02.01.2025
  • Results of the training ar not usen
  • use trained network to improve this
  • make a MATLAB-Script that uses the trained NN to drive and produce results
  • research methods for lane tracking with AI
  • write down the results and sources
  • weight the solutions with a Morphological analysis
  • choose the best solution
  • implement it
  • test it
  • dokument everything in Wiki
  • Task 1 not finished
  • input data is wrong, no left curve 100% right is too much, I woukd expect a steering in between -20%-20%