Papers
1
Total Citations
9
H-Index
1
About
K. V. Dunaevskaya’s research centers on the critical challenge of improving navigation accuracy through map-aided systems, with a particular focus on correlation-extreme algorithms. Her most cited work, “Study of a Method for Calculating the Current Accuracy in Map-Aided Navigation Problem” (2021), which has garnered 9 citations, introduces a novel approach for evaluating the real-time precision of navigation solutions. By analyzing the ratio of extreme values within the search functional, Dunaevskaya’s method enables more reliable performance assessment of correlation-extreme algorithms, a key technology for autonomous vehicles and robotics operating in GPS-denied environments. This contribution addresses a fundamental gap in navigation theory, offering a practical framework for enhancing system robustness. Her work is notable for bridging theoretical analysis with applied engineering, providing a foundation for future advancements in terrain-based navigation. Dunaevskaya’s research continues to influence the development of more accurate and resilient navigation systems, making her a valuable voice in the field of autonomous positioning and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1