Doyoung Kim
Papers
2
Total Citations
8
H-Index
2
About
Doyoung Kim is a researcher specializing in mobile robotics and navigation systems, with a focus on enhancing localization accuracy in challenging environments. His work addresses critical limitations in pose estimation and global navigation satellite systems (GNSS), making significant contributions to autonomous vehicle and robotic applications. In his highly cited 2024 paper, "Enhancing Pose Estimation Using Multiple Graphical Markers with Spatial and Temporal Outlier Detection" (5 citations), Kim introduces a novel method that improves the robustness of pose estimation by employing multiple ArUco markers and advanced outlier detection techniques, overcoming the susceptibility of single-marker systems to environmental interference. Building on this, his 2023 study, "GNSS performance enhancement using measurement estimation in harsh environment" (3 citations), tackles the degradation of GNSS accuracy in obstructed settings—such as urban canyons or dense foliage—by developing a measurement estimation framework that enhances positional reliability without reliance on additional sensors. Through these contributions, Kim demonstrates a keen ability to bridge theoretical algorithms with practical, real-world deployment, offering solutions that bolster the precision and resilience of navigation systems. His work is particularly valuable for researchers and engineers developing autonomous systems that must operate dependably under adverse conditions.
Research Focus
Key Achievements
Top Papers
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- 2