COMPARISON OF DATA PROCESSING METHODS FOR DETECTING OBSTACLES AT TRANSPORT INFRASTRUCTURE FACILITIES

Abstract

This article discusses the actual problem of detecting extraneous objects at transport infrastructure facilities and areas of their damage. The necessity of using unmanned aircraft systems for the task under study is considered. The results of the study of two methods of cleaning incorrect data when detecting obstacles at transport infrastructure facilities are described: post-processing and real-time processing. The developed algorithms were tested in the simulator and flight zone. The relevance of the use of unmanned aircraft systems for damage detection at transport infrastructure facilities is analyzed.