Abstract
This paper proposes a model of a multi-sensor system for detection and tracking of road vehicles and drones, based on developed original methods and algorithms for signal and data processing, which is a fundamental scientific task. The proposed model uses the polar Hough transform to combine the heterogeneous data in a multi-sensor system.
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Acknowledgement
This work is supported by the Bulgarian National Science Fund, project title “Synthesis of a dynamic model for assessing the psychological and physical impacts of excessive use of smart technologies”, KP-06-N 32/4/07.12.2019.
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Garvanov, I., Garvanova, M., Borissova, D., Garvanova, G. (2023). A Model of a Multi-sensor System for Detection and Tracking of Vehicles and Drones. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2023. Lecture Notes in Business Information Processing, vol 483. Springer, Cham. https://doi.org/10.1007/978-3-031-36757-1_21
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