Robust Coded Target Recognition in Adverse Light Conditions

Abstract

We propose a new algorithm for the robust identification of coded targets in adverse light conditions. The new algorithm relies on the recognition of circle retroreflective targets. The algorithm finalizes the process of development of multi-functional coded targets for high-precision photogrammetric systems. The main advantages of the new algorithm are tolerance to adverse light conditions and a high speed. This paper reviews existing architectures of coded targets and their identification methods. We propose and describe the architecture of a coded target for high-precision photogrammetric measurements. We also analyze the efficiency of new algorithms and the range of their possible applications.