Internship 2025: Autonomous Driving

Autoren:	Mazen Mohamed Hussein Shaaban
Art:	Praxissemester
Dauer:	15.10.2025 bis 04.02.2026
Modul:	Internship/Exchange Semester, ELE-B-2-5.01
Arbeitszeit:	39,83 h/w, Anwesenheitspflicht im Labor
Betreuer:	Prof. Dr.-Ing. Schneider
Prüfungsform:	Modulabschlussprüfung als Hausarbeit (Praxisbericht, Umfang 20 Seiten) und mündliche Prüfungsleistung (Präsentation, 15 Minuten)
Mitarbeiter:	Marc Ebmeyer, Tel. 847
Begrüßung:	15.10.25 um 8:30 Uhr im Büro von Marc Ebmeyer

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

1. Program the Jetson Nano on the JetRacer/JetRacer:_ROS_AI_Kit model based via MATLAB^®/Simulink
2. Read the sensor data (LiDAR, Video).
3. Steer and change throttle.
4. Evaluation of the solutions using a morphological box (Zwicky box)
5. Implementation the most promising solution with MATLAB^®
6. Realise autonomous lane keeping. Optional add
   1. avoid obstacles
   2. traffic sign detection
   3. right of way at intersections
   4. autonomous parking
7. Set up requirements for the system
8. Research on solutions for the task
9. Evaluate the results based on technical features
10. Discussion of the results
11. Testing of the system requirements - proof of functionality
12. 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
• Information on Praxissemester
• Student work with Prof. Schneider
• Requirements for a scientific work

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