With recent technology, semi-autonomous cars are being produced and they are serving for humans' requirements in daily life.
However, with this technology semi-autonomous cars can be turned into fully-autonomous cars using different configurations of sensor technology.
Regarding that firstly autonomous cars should be able to locate themselves relative to their environment.
This second presentation of master thesis presents the current state of work i.e. normal distribution transform, iterative closest point, extended kalman filter etc. The details of the work will be presented and questions will be discussed.