Thesis in V2X network simulation with cooperative maneuver coordination for autonomous driving in October 2021 in Sindelfingen bei Mercedes Benz AG

I like to invite you to shape with us the future of mobility around self-driving cars. Our department in Böblingen-Hulb designs and develops new approaches for the field of autonomous driving to increase driving comfort and safety. In this Master Thesis, you have the opportunity to gain insights into the future technology of autonomous driving. Looking further into the future, studies on cooperative maneuver tuning concepts are required.

For this purpose, we shared a cooperative common environment model with all participating road agents. This means that all cooperative vehicles communicate their objects detected with their on-board sensors to other road users via V2X communication. With this information, we developed a common environment. This provides us the possibility, to enlarge the vehicle's sensor range, virtually.

For a feasibility study at the application level, it is important to examine the V2X network environment. For this purpose, we have coupled our vehicle simulation environment with the OMNeT++ network simulation tool. Application special data packets are send from the vehicle simulation and processed further in the network simulation. By this way, we are able to simulate real network effects such as packet losses, or delay times.

Your task is to define the interface of the simulation environment according to the state of the art in transmission technology and to analyze the network behavior in specific scenarios.

Goal:

• Create a realistic network architecture
  
• Implementation of CAM, CPM and DENM
  
• Analytical calculation of possible data packet size
  
• Implementation of different maneuvers coordination procedures
  
• Evaluation and analysis of several scenarios
  
• Consideration of network properties and improvement of network utilization

Are you ready for #nextbigthing?

The final thesis selection is made in close consultation with you, the university and us.

• Experience in the field of communication theory
  
• Experience with OMNeT++ or V2X communication and knowledge about CAM, CPM, DENM messages are a plus
  
• Master's students in (technical) computer science, electrical engineering, mechatronics, science subjects such as physics/mathematics or similar disciplines
  
• Fluent language skills in German and English, both orally and in writing
  
• First experience in software development (preferably in Python/Matlab)
  
• Pleasure in scientific work and practical problem solving
  
• independent and engaged style of work

It doesn’t work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates (max. 5 MB).
Please find the criteria of employment here.
Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.
We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: sbv-sindelfingen@daimler.com
Please understand that we no longer accept paper applications and that there is no right to get your documents returned.
If you have any questions regarding the application process, please contact HR Services by e-mail at hrservices@daimler.com. or the chatbot on our career page via the plus symbol.