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
Planning:
- 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
Simulation:
- Virtual reality obstacle simulation
Autonomous Modelcar Project Topics: