Junghwan Lim
Papers
1
Total Citations
4
H-Index
1
About
Junghwan Lim is a researcher specializing in sensor fusion and indoor positioning systems, with a particular focus on mobile robotics. His work integrates inertial measurement units (IMUs) with ultra-wideband (UWB) technology to enhance localization accuracy in environments where GPS is unavailable. His most-cited paper, "IMU/UWB Sensor Fusion Using Moving Average Filter for Indoor Positioning of Mobile Robot," addresses critical challenges in UWB-based localization, such as signal noise and multipath interference, by applying a moving average filter to smooth sensor data and improve positional reliability. This contribution is essential for the deployment of autonomous robots in warehouses, hospitals, and other indoor settings. With 4 citations, his research lays a practical foundation for robust, low-cost navigation systems. Lim’s work is notable for bridging the gap between theoretical sensor fusion algorithms and real-world robotic applications, offering a scalable solution that balances accuracy with computational efficiency. His ongoing efforts continue to advance the field of indoor positioning, making him a valuable contributor to the development of smarter, more autonomous mobile systems.
Research Focus
Key Achievements
Top Papers
- 1