Filtering, robust and adaptive methods for track reconstruction

The task of processing and analyzing data from experiments at the future large Hadron collider accelerator at CERN will be huge. Track reconstruction is one of the crucial parts of the data analysis chain in such experiments. After a brief introduction into the problem of track reconstruction, various methods for solving this task are presented. Emphasis is on state-of-the-art robust and adaptive algorithms, which mainly are applied in the most challenging experimental scenarios. Results from some simulation experiments are also presented