Autonomous Driving: Unterschied zwischen den Versionen
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Änderung 133026 von Ulrich.schneider@hshl.de (Diskussion) rückgängig gemacht. Markierungen: Rückgängigmachung Zurückgesetzt |
Keine Bearbeitungszusammenfassung Markierung: Manuelle Zurücksetzung |
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[[ | [[Datei:TUBS 1702 VOG Carolo-CupWEB 164.jpg|thumb|rigth|500px|Fig. 1: Track in the Lab im Labor Autonome Systeme]] | ||
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= | = Introduction = | ||
A model car (scale 1:10) equipped with a different sensors should | |||
* | * drive autonomously in the right lane, | ||
* | * avoid obstacles, | ||
* | * react on sign and crossroads and | ||
* | * parc autonomously. | ||
Usually this can done by conventional algorithms (image processing, LiDAR object detection and sensor data fusion) or artificial intelligence (AI) (see Fig. 1). Choose a topic, analyze the possible solutions an solve task. | |||
= | = Task list = | ||
# Familiarization with the topic | # Familiarization with the topic | ||
## lane keeping | ## lane keeping | ||
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* Robotics | * Robotics | ||
* Control technology | * Control technology | ||
* | * Sourcecode versioning with SVN | ||
* Documentation with Word and in the HSHL Wiki. | * Documentation with Word and in the HSHL Wiki. | ||
Aktuelle Version vom 4. März 2025, 16:10 Uhr

Autor: | TBD |
Art: | PS, PA, BA, MA |
Starttermin: | TBD |
Abgabetermin: | TBD |
Betreuer: | Prof. Dr.-Ing. Schneider |
Introduction
A model car (scale 1:10) equipped with a different sensors should
- drive autonomously in the right lane,
- avoid obstacles,
- react on sign and crossroads and
- parc autonomously.
Usually this can done by conventional algorithms (image processing, LiDAR object detection and sensor data fusion) or artificial intelligence (AI) (see Fig. 1). Choose a topic, analyze the possible solutions an solve task.
Task list
- Familiarization with the topic
- lane keeping
- avoid obstacles
- traffic sign detection
- right of way at intersections
- autonomous parking
- Set up requirements for the system
- Research on solutions for the task
- Evaluation of the solutions using a morphological box (Zwicky box)
- Implementation the most promising solution with MATLAB®
- Evaluate the results based on technical features
- Discussion of the results
- Testing of the system requirements - proof of functionality
- Scientific documentation as a wiki article with an 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
- Sourcecode versioning with SVN
- Documentation with Word and in the HSHL Wiki.
Requirements for scientific work
- Scientific approach (project plan, etc.), useful article: Create Gantt chart
- Weekly progress reports (informative), update the table Meeting Minutes in conversation with Prof. Schneider
- Project presentation in the wiki
- Daily backup of work results in SVN
- Student work with Prof. Schneider
- Requirements for a scientific work
Repository
- Video:
- Steering angle:
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