S. V. Rudakov
Papers
1
Total Citations
17
H-Index
1
About
Dr. S. V. Rudakov is a leading researcher in the fields of computer vision, unmanned aerial systems (UAS), and intelligent image processing. His most cited work, "Construction of an advanced method for recognizing monitored objects by a convolutional neural network using a discrete wavelet transform" (2021, 17 citations), addresses a critical challenge in autonomous drone operations: the reliable detection and classification of objects from aerial imagery. In this study, Rudakov and his team systematically analyzed existing image recognition approaches and proposed a novel hybrid method that integrates convolutional neural networks with discrete wavelet transforms. This innovation significantly improves the accuracy and efficiency of object recognition in complex, real-world environments, enabling UAS to better automate monitoring tasks such as infrastructure inspection, surveillance, and agricultural assessment. Beyond this flagship paper, Rudakov’s broader contributions span the development of robust algorithms for automated object state determination, pushing the boundaries of what unmanned systems can achieve without human intervention. His work has direct implications for enhancing the autonomy and reliability of drones in critical applications, making him a notable figure in applied artificial intelligence and remote sensing.
Research Focus
Key Achievements
Top Papers
- 1