Junsu Jang
Papers
1
Total Citations
2
H-Index
1
About
Junsu Jang is a researcher advancing autonomous underwater vehicle (AUV) navigation, with a focus on cost-effective, real-time localization solutions for ocean monitoring. His work addresses critical challenges in underwater robotics, particularly the development of algorithmic frameworks that handle nonlinear measurement models and diverse sensor inputs. Jang’s most cited paper, “A Landmark-Aided Navigation Approach Using Side-Scan Sonar” (2025, 2 citations), introduces a novel method that leverages side-scan sonar for landmark detection, enabling high-resolution spatial and temporal data collection without expensive infrastructure. This contribution is pivotal for applications in oceanography, environmental monitoring, and underwater mapping, where precise navigation is essential. Jang’s research bridges the gap between theoretical control systems and practical deployment, emphasizing real-time processing capabilities. His achievements include pioneering efficient navigation strategies that reduce reliance on costly inertial systems, making AUV operations more accessible. With a growing citation footprint, Jang is establishing himself as a key figure in marine robotics, offering scalable solutions for autonomous exploration in complex underwater environments.
Research Focus
Key Achievements
Top Papers
- 1A Landmark-Aided Navigation Approach Using Side-Scan Sonar2 citations · 2025