Wednesday, September 21, 2022

Cooperative trajectory planning using V2X-based maneuver suggestions

Topic and Goal of the Thesis

Algorithms for safe, comfortable and efficient motion planning play an important role for automated vehicles. A wide range of information is taken into account to plan a suitable vehicle trajectory: In addition to information from the vehicle's own sensors, information from other road users or digital infrastructure can also be considered. In this thesis, a concept for the integration of V2X messages into the motion planning of an automated vehicle will be developed and implemented.

Working Points

• Literature research on the external coordination of automated vehicles and its integration into the vehicle guidance
• Determination of relevant control variables for urban areas, e.g. on the basis of drone data
• Creation and implementation of a concept for the generation and integration of external maneuver suggestions
• Evaluation and documentation of the results

Requirements

• Good English or German language skills
• Reliability, commitment and enjoyment of working independently
• Experience with python and C++
• Experience with ROS and CARLA (not a must)

Note: Please attach brief resume and grade summary.