Jungwon Kang

York University, Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Jungwon Kang is a researcher specializing in precise positioning, autonomous navigation, and sensor fusion for unmanned systems. His work focuses on enabling robust localization in challenging environments, with significant contributions to Ultra-Wideband (UWB)-based UAV positioning. His most cited paper, "Benchmark Dataset of Ultra-Wideband Radio Based UAV Positioning" (2020, 10 citations), provides a critical benchmark for evaluating UWB-based positioning methods, addressing the need for precise UAV localization in GPS-denied or complex settings. Kang has also advanced monocular vision-based detection of independently moving features (2012, 2 citations), using geometric constraints like epipolar and trifocal constraints to improve scene understanding. Additionally, his research on practical 6D robot pose estimation (2012, 2 citations) integrates GPS and IMU data to enhance outdoor 3D mapping reliability. While his citation counts reflect a focused and emerging impact, Kang’s work lays foundational groundwork for real-world deployment of autonomous aerial and ground robots. His contributions are particularly valuable for researchers in robotics, sensor fusion, and UAV navigation, offering practical datasets and algorithms that bridge the gap between theory and application in challenging operational environments.