The paper proposes the conceptual foundations of robotization of serial engineering equipment designed for emergency rescue and other urgent work. The relevance of this approach to extreme robotics is caused by the frequent failure of prototypes of robotic tools and the lack of sufficient funds for their repair, which ultimately does not allow the full use of the existing fleet of automatic devices for fire and rescue and other urgent work. The system of a mobile remotely controlled complex for robotizing serial equipment intended for emergency rescue and other critical work is considered. The developed system is based on optical methods of control and recognition of objects.
From the point of view of satellite monitoring, construction objects include fixed objects of artificial origin (buildings and structures for various purposes), created from building materials and lying directly on the earth's surface. Someone can conditionally divide the life cycle of a construction object into initial, main and final stages. From the point of view of satellite, ground, aerial photography it is possible to distinguish building objects at the initial, main and final stages from each other. In this case, not all initial stages are exposed to the images, and additional conditions are required to distinguish the final stages in the images (the same applies to the main stages). We can produce the current stage of the life cycle of a building object for various reasons. The paper considers some features of deciphering construction objects at the initial and final stages of their life cycle, primarily in an emergency and abandoned state. Relevant types of construction objects are identified, the structure of decoding signs is determined, and decoding areas are established, we derive the signs themselves for different construction objects. An experiment on the detection of abandoned construction sites on several databases is given.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.