TUD

Institut für Automatisierungstechnik

Modellbasierte Systemanalyse

Studien- und Diplomarbeit

MOBATSim is a simulation framework based on MATLAB Simulink that allows the user to assess vehicle level and traffic level safety by a 3D traffic simulation. It is used to simulate urban city traffic, design intersection management algorithms for the infrastructure or path planning algorithms for vehicles and test the efficiency of autonomous driving functions by PC-based simulations. Simulink 3D Animation and V-Realm are used to visualize the driving scenarios.

MOBATSim is still being developed to make it a complete tool for comprehensive testing. Its main task is to test autonomous vehicles and their functions in the presence of various faults. New fault libraries are being defined. An automatic report generator is being developed in accordance with the ISO 26262 standard. Possible Studien- and Diplomarbeit topics can be given to the students who are interested in autonomous vehicle modeling, simulation, and safety assessment.

The students who want to be a part of the project should know coding and modeling in MATLAB and Simulink, and be highly proficient in both spoken and written English. Nevertheless, the Studienarbeit or Diplomarbeit can be written in German. Detailed information about MOBATSim can be obtained from: https://mobatsim.com.

To watch the award winning video of MOBATSim for the worldwide Simulink Competition 2018:
https://www.youtube.com/watch?v=rG8B0ip4dpk

Contact: Mustafa Saraoğlu, M.Sc.
Mustafa.saraoglu (at) tu-dresden.de

Studien- und Diplomarbeit

SafeTown project shows how Lego EV3 Robots, UDP and a detector camera can be used to simulate a SafeTown using Simulink models. SafeTown is a project where we only use Simulink and Add-on Toolboxes to control a group of autonomous vehicle robots (LEGO EV3) and manage the traffic on a small scale map using image recognition with a camera and a workstation. We use all of them in coordination using real-time communication (UDP). The challenge in this project is to apply the developed models on Simulink to real life where the hardware components cause a lot of unexpected troubles, such as noisy sensors, changing environmental conditions, and the effect of the changing states of batteries on the vehicles. The goal is to have a "SafeTown" where autonomous vehicle robots drive freely without colliding with each other. This project is open to innovations from multidisciplinary fields such as: sensor fusion, computer vision, deep learning and reinforcement learning

The traffic should be controlled using a camera mounted on top, trying to recognize vehicles and send pass/wait commands through a workstation to the vehicles using UDP. The students who want to be a part of the project should know coding and modeling in MATLAB and Simulink, and be highly proficient in both spoken and written English. Nevertheless, the Studienarbeit or Diplomarbeit can be written in German.

To watch the award winning video of SafeTown for the worldwide Simulink Competition 2019:
https://www.youtube.com/watch?v=Vsq4WfuFVyE

Contact: Mustafa Saraoğlu, M.Sc.
Mustafa.saraoglu (at) tu-dresden.de

Stand: 28.01.2020 14:38
Autor: Webmaster IFA