Autonomous Road Surveying

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Fig. 1: Track in the Lab im Labor Autonome Systeme
Autor: Qamar Sajjad
Art: Bachelorarbeit/bachelor thesis
Starttermin: TBD
Abgabetermin: TBD
Betreuer: Prof. Dr.-Ing. Schneider

Einführung

A model car (scale 1:20) equipped with a camera should drive autonomously in the right lane. Usually this is done by image processing. In this bachelor thesis steering angle and video are used to train an artificial intelligence (AI) to drive autonomously on the track (see Fig. 1)

Aufgabenstellung

  1. Familiarization with the topic
  2. Set up requirements for the system
  3. Research on solutions for the task
  4. Implementation in MATLAB® - input are video and steering angle
  5. Evaluation of the solutions using a morphological box ([https://en.wikipedia.org/wiki/Morphological_box Zwicky box)
  6. Implementation the most promising on the JetRacer
  7. CAD design and 3D printing of prism mount for the JetRacer
  8. Prism assembly and recording of the vehicle movement
  9. Evaluate the results based on technical features
  10. Provision of the digital map as a MATLAB® file (.mat)
  11. Use of a Kalman filter to smooth the measured values
  12. Combination of map and dynamic vehicle (mapping)
  13. Discussion of the results
  14. Test and scientific documentation
  15. Proof of functionality as a wiki article with animated gif

Knowledge Requirements

The project requires prior knowledge in some but not all of the following subject areas. If you do not meet the requirements, the task can be individually adapted based on your previous knowledge.

  • Model making (e.g. woodworking, metalworking, CAD, 3D printing)
  • MATLAB®/Simulink
  • Robotics
  • Control technology (line tracker)
  • Document versioning with SVN
  • Documentation with Word and in the HSHL Wiki.

Requirements for scientific work



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