Yi-Kuan Dong

National Chin-Yi University of Technology

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About

Yi-Kuan Dong is a researcher specializing in autonomous navigation and sensor fusion, with a particular focus on outdoor positioning systems. His most-cited work, "Outdoor Positioning Based on ROS LiDAR Navigation Compared with RTK GPS Accuracy" (2023, 3 citations), makes a significant contribution to the field of mobile robotics by demonstrating the practical application of the Robot Operating System (ROS) framework. In this study, Dong integrates 2D LiDAR with two particle-filtering algorithms—gmapping for Grid-based FastSLAM Mapping and adaptive Monte Carlo localization (AMCL)—to construct accurate environmental maps and determine robot position. His major contribution lies in benchmarking these LiDAR-based navigation methods against high-precision RTK GPS, providing critical insights into their accuracy and reliability for real-world outdoor deployment. This work is particularly valuable for researchers and engineers developing cost-effective autonomous systems that require robust localization without relying solely on satellite signals. Dong's research bridges the gap between theoretical SLAM algorithms and practical implementation, offering a reproducible methodology that advances the accessibility of autonomous navigation technologies.