Lectures and Student Projects

We predominantly teach in the focus areas of "Autonomous Systems" and "Data Science" in the Bachelor's and Master's degree programs of the Faculty of Computer Science and Engineering:


  • Statistics
  • Signals and Systems
  • Digital Signal Processing
  • Sensors and Actuators
  • Autonomous Systems Design
  • Embedded Systems Design
  • Machine Learning
  • Machine Vision


  • Theoretical Computer Science
  • Artificial Intelligence
  • Advanced Data Mining
  • Intelligent Time Series Analytics
  • Automotive System Design
  • Computer Vision & Deep Learning
  • Data Fusion
  • Motion Planning

Are you fascinated by the possibilities of intelligent systems and want to actively participate in forward-looking projects? At IIS, we offer you the opportunity to bring your ideas and skills into exciting Bachelor's and Master's theses as well as study and research projects. Whether you are at the beginning of your studies or already in advanced semesters, we have suitable topics and challenges for you.

Just talk to us! We look forward to getting to know you and discovering new things together.

Contact: Prof. Dr. Markus Enzweiler 

Open Topics for Student Projects and Theses

As of: December 8, 2023

Mobile Robotics

Deep Learning-Based Variance Analysis of Datasets

Comparison of Online Domain Adaptation of Detector-Free and Detector-Based Feature Matching

  • Research on Self-Supervised Detector-Free and Detector-Based Feature Matching, selection, implementation, and evaluation
  • Keywords: LoFTR

Online Domain Adaptation of Feature Detectors

  • Research on Self-Supervised Feature Detectors, selection, implementation, and evaluation
  • Keywords: SuperPoint

Online Domain Adaptation of Self-Supervised Feature Matching and Depth Estimation for Visual Odometry

  • Implementation, fine-tuning, and evaluation of a procedure
  • Keywords: Link to paper

Image Enhancement for Visual Odometry:

  • Research on Image Enhancement for Visual Odometry procedures under extreme lighting conditions, integration into Visual Odometry pipeline, and evaluation
  • Keywords: AFE-ORB-SLAM

Generalizability of Feature Detectors across different Camera Models

  • Implementation of various feature detectors and evaluation with different camera models


  • Research, selection, implementation, and evaluation of a RADAR data-based SLAM procedure
  • Keywords: RadarSLAM

Multi-Camera Visual Odometry

  • Research, implementation, and evaluation of Multi-Camera Visual Odometry or SLAM procedures
  • Keywords: VILENS-MC

Deep Learning-based Inertial Odometry

  • Research, implementation, and evaluation of a Deep Learning-based method for odometry estimation based on IMU data
  • Keywords: TLIO

Ground-based Visual Odometry

  • Implementation of a Visual Odometry procedure based on images from a ground-facing mono camera
  • Keywords: Visual Odometry

Interested? Find out more! about our degree programmes