  Conformal tracking is an innovative and comprehensive pattern recognition
technique using a cellular automaton-based track finding performed in a
conformally-mapped space. It is particularly well-suited for light-weight
silicon systems with high position resolution, such as the next generation of
tracking detectors designed for future electron-positron colliders. The
algorithm has been developed and validated with simulated data of the CLICdet
tracker. It has demonstrated not only excellent performance in terms of
tracking efficiency, fake rate and track parameters resolution but also
robustness against the high beam-induced background levels. Thanks to its
geometry-agnostic nature and its modularity, the algorithm is very flexible and
can easily be adapted to other detector designs and experimental environments
at future $e^+e^-$ colliders.
