Shao-Ying Lan

Papers

Total Citations

H-Index

About

Shao-Ying Lan is a leading researcher in advanced sonar systems and mobile robotics, whose work has significantly enhanced the real-time performance and accuracy of ultrasonic sensing. His most cited paper, "Real-Time Noncrosstalk Sonar System by Short Optimized Pulse-Position Modulation Sequences" (2009, 29 citations), tackles the critical problem of ultrasonic crosstalk—a primary source of false distance measurements that compromises the efficiency of sonar sensors in mobile robots. Lan’s key contribution lies in the innovative use of short digital pulse-position modulation (PPM) sequences to trigger ultrasonic transducers, effectively eliminating crosstalk while maintaining rapid data acquisition. This approach dramatically improves the reliability and speed of sonar systems, enabling more robust navigation and obstacle avoidance in autonomous robots. By optimizing these sequences for minimal interference and maximum real-time performance, Lan’s work has provided a practical, scalable solution for mobile robotics applications, from industrial automation to autonomous vehicles. His research bridges the gap between theoretical signal processing and real-world sensor design, earning recognition for its direct impact on enhancing robotic perception. Lan’s contributions continue to influence the development of smarter, more efficient sonar systems, making him a notable figure in the field of robotic sensing.