S. Susan Young

Papers

Total Citations

H-Index

About

S. Susan Young is a researcher whose work sits at the intersection of advanced sensing, robotics, and intelligent manufacturing. Her primary research focuses on enhancing the performance of flash LADAR (Laser Detection and Ranging) systems—compact, high-frame-rate devices critical for autonomous navigation and obstacle avoidance in robotics. Young’s major contribution lies in developing super-resolution techniques that overcome the inherent spatial resolution limitations of these sensors. Her most cited paper (13 citations) introduces a novel wavelet preprocessing stage that improves frame registration, enabling super-resolution algorithms to reconstruct higher-quality imagery from multiple low-resolution frames. This work directly addresses a key bottleneck in making flash LADAR practical for real-world robotics applications. Her second most cited paper (6 citations) further explores these super-resolution methods, emphasizing their role in expanding the utility of low-cost, wide-field-of-view LADAR systems. Beyond sensing, Young has also contributed to performance evaluation and metrics for perception in intelligent manufacturing (3 citations), demonstrating a broader interest in quantifying and improving autonomous system capabilities. Her research has laid groundwork for more reliable, cost-effective perception in robotics and manufacturing.