Sung-Woo Heo

Papers

Total Citations

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About

Dr. Sung-Woo Heo is a robotics researcher specializing in autonomous navigation and localization systems for industrial vehicles. His work focuses on enhancing the precision and reliability of autonomous guided vehicles (AGVs) through sensor fusion techniques. His most cited study, "Localization System for AGVs Using Laser Scanner and Marker Sensor" (2017), addresses a critical challenge in factory automation: correcting cumulative position errors from encoders and gyroscopes. By integrating a laser scanner with magnetic markers, Heo developed a calibration method that significantly improves real-time position tracking accuracy. This contribution has been cited 3 times, demonstrating its relevance to researchers working on sensor-based localization in constrained environments. Heo’s approach bridges the gap between low-cost inertial sensors and high-precision external references, offering a practical solution for industries deploying AGVs in logistics and manufacturing. His work exemplifies how combining complementary sensing modalities can overcome the limitations of individual systems, making autonomous vehicles more dependable in dynamic settings. For students and engineers exploring robust localization methods, Heo’s research provides a foundational example of applied sensor fusion in mobile robotics.