Scientific Theses

Topics for Scientific Theses

The Chair ITS-Sustainable Transport Logistics 4.0. offers students a pool of topics for scientific theses as bachelor's, master's or diploma theses.

 

Master thesis: Generative Modeling for Transportation Data Apply generative modeling to predict mobility patterns based on various available transportation datasets and assess quality of simulated data in the field of transportation.

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Master thesis: Lane Change Prediction Lane change prediction is an important point in the prevention of traffic accidents. The aim of this work is to develop and implement a framework for lane change prediction based on lidar, camera, IMU and GPS data.
 

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Master thesis: Deeplearning Approach for Driver Monitoring Systems. Desing a novel model to predict driver's state in conditional automated driving (SAE Level 3) based on drivers face and body images and predict if driver's are prepared to take back the control of the vehicle in emergency situations. 

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Master thesis: Applied Compositional Thinking for Autonomous Vehicles, In cooperation with the company in Linz Kontrol GmbH, www.kontrol.tech  The goal of this work is to investigate how different categories representing domains  such as law, geometrics, system theory, and software engineering can be applied to solve the certification problem of autonomous vehicles. To this end mappings inside (morphisms) and between (functor) the categories need to be defined.

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Master thesis in cooperation with the company in Linz Kontrol GmbH, www.kontrol.tech 

  Design and development of an active safety system for motorcycles based on  a formal verification process. A concept for a novel assistance system will be investigated and demonstrated by using optimized map information of curves, weather conditions and modern safety methods to enable a safe, yet adapted to the skill of the motorcyclist, driving in curves.

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