Taikjin Lee
Papers
2
Total Citations
13
H-Index
2
About
Dr. Taikjin Lee is a researcher specializing in autonomous inspection systems and indoor navigation technologies. His work addresses critical challenges in infrastructure monitoring and positioning in GPS-denied environments. Dr. Lee’s most cited paper, “Vision-based automatic real time inspection of power transmission lines” (2013, 10 citations), introduces a computer vision approach to automate the monitoring of power lines, replacing manual inspection methods that are costly and hazardous. This contribution supports safer, more efficient maintenance of electrical infrastructure. In a second notable study, “Pedestrian Indoor Navigation Algorithm based on the Pseudolite and Low-cost IMU with Magnetometers Including In-Flight Calibration” (2010, 3 citations), Dr. Lee tackles the persistent problem of indoor positioning by fusing pseudolite signals with low-cost inertial and magnetic sensors. His work on sensor calibration and integration advances practical solutions for pedestrian navigation where GPS fails. Though his citation counts are modest, Dr. Lee’s research is foundational in applying real-time vision and sensor fusion to real-world engineering problems, offering valuable insights for students and researchers in robotics, infrastructure monitoring, and navigation systems.
Research Focus
Key Achievements
Top Papers
- 1Vision-based automatic real time inspection of power transmission line10 citations · 2013
- 2