Concept for Implementing a Group Aviation Technical Vision System
This paper presents a concept for the design of a group aviation technical vision system aimed at ensuring high-precision and prompt monitoring under conditions of limited visibility and complex radar environments. The proposed concept is based on the use of spatially distributed systems of compact airborne radar stations, integrated into an interacting group. Within this interacting group, transmission and processing of multi-angle data are carried out using inter-frame processing methods, neural network tools, and technical vision technologies. Special attention is given to the implementation of front-zone illumination, which enables the formation of a sequence of high-resolution radar video frames. The interrelation of all functional units within the proposed concept is demonstrated, including algorithms for trajectory control of small unmanned aerial vehicles, formation and processing of radar video frame sequences, and their intelligent analysis. The aim of this research is to develop a novel concept for the design and operation of a group aviation technical vision system composed of spatially distributed compact airborne radar stations, capable of collectively ensuring the required responsiveness and automation in the process of video frame sequence generation and intelligent processing, while simultaneously achieving the necessary resolution, reliability, and completeness of situational awareness in the forward observation zones. As a result, a concept is proposed for an aviation technical vision system that enables radar-based formation and comprehensive processing of video frames, including neural network-based analysis of the results of this integrated processing. The developed concept of group technical vision is applicable to search and rescue operations, environmental monitoring of terrestrial surface areas, and assessment of the scale and development of natural and man-made emergency situations.
Authors
- Vadim A. Nenashev (ORCID: https://orcid.org/0000-0001-5285-2051)
Publication Details
- Journal
- Vestnik IzhGTU imeni M T Kalashnikova
- Published
- 2025-04-01
- DOI
- https://doi.org/10.22213/2413-1172-2025-1-99-109
- Primary Topic
- Technical Engine Diagnostics and Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00