Jonas Schiller M.Sc.

Working area(s)

Trajectory planning for automated driving

Contact

work +49 6151 16-25171

Work S3|10 520
Landgraf-Georg-Str. 4
64283 Darmstadt

Research in the field of automated driving is more active worldwide than ever. The rapid progress of software and hardware is constantly opening up new possibilities to solve the complex problems that a highly automated car creates.

Many concepts follow a modular approach where different tasks are solved by different systems. The different modules such as sensors, environment recognition, tactical and trajectory planning, vehicle guidance and vehicle dynamics control, as well as safety systems are often based on different technologies and methods in order to enable optimal performance in all areas. Whereas in environment recognition and maneuver planning, artificial intelligence and machine learning are increasingly used to solve unknown situations, trajectory planning and control is often based on proven approaches from robotics, optimization and classical control engineering, which enable very robust, reliable and deterministic solutions using model knowledge.

In my research, I am particularly engaged in model-based trajectory planning at the physical limits of vehicle dynamics and considering dynamic environment objects. A concrete application case is the emergency maneuver for collision avoidance, when solely braking on a straight line is no longer sufficient.

My concept is based on the dissertation of Mr. Gundlach, who developed a trajectory planning at the limits of driving dynamics in cooperation with the VW group research. This approach, based on an optimal control problem, has already proven itself in test vehicles and is being further developed by us in various directions. Where my colleague Mr. Steinke is concerned with the planning of comfortable trajectories and kinetosis avoidance, my research focuses on dynamic – i.e. time-varying – environment objects.

Specific contents of my research are among others

  • Integration of time-dependent environment objects in the spacial-based problem description
  • Ensuring the solvability of the problem under all circumstances
  • Optimization of computing efficiency for online-use in the vehicle
  • Interlocking with adjacent components such as maneuver planning and control
Please see my German page for student projects.
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