Open Theses

We are constantly looking for new students of local universities to join us to work on our autonomous cars. For possible open thesis topics please contact Daniel Goehring.

Here is a non-complete list of topics which might be of interest for you:

Camera based:

  • Deep Neural Networks (CNN) for trajectory prediction based on images and odometry data
  • Deep Neural Networks (CNN) for Swarm behavior learning, e.g., learning the desired position of a car within a group of vehicles
  • Traffic light recognition using 2d or 3d camera data
  • Turn indicator (blinker) recognition using 2d or 3d camera data
  • Visual slam in traffic situations – using visual features and/or optical flow

LiDAR based:

  • Estimation of occluded regions on an intersection using LiDAR data
  • Self-localization and mapping using LiDAR data or point cloud data from stereo cameras
  • Sensor fusion of data from different sensors, e.g., LiDAR with camera data
  • Classification of LiDAR objects using image based classification and the projection of 3d-points into the 2d image


  • World modeling, planning within a structured dynamic environment
  • Planning of lane changes, merging into traffic using timed elastic bands, or A*, Rapidly Exploring Random Trees
  • Obstacle prediction based on map data

Optimal control:

  • Developing different control strategies to drive on a map and with dynamic objects
  • Ananlysis of dynamic properties for swarm based control strategies, given certain uncertainties


  • Virtual reality obstacle simulation

Autonomous Modelcar Project Topics: