Oanh Nguyen

Sensors (United States), United States Army

Papers

Total Citations

H-Index

About

Oanh Nguyen is a researcher whose work lies at the intersection of computational imaging and robotics, with a primary focus on enhancing the capabilities of flash LADAR (Laser Detection and Ranging) systems. Her key research area involves overcoming the inherent spatial resolution limitations of these compact, high-frame-rate sensors, which are crucial for autonomous navigation and obstacle avoidance. Nguyen’s major contribution is the development of a novel super-resolution framework specifically tailored for flash LADAR data. In her most-cited work (2010, 13 citations), she pioneered a wavelet-based preprocessing stage that significantly improves the registration of multiple low-resolution frames, enabling effective super-resolution reconstruction. This approach directly addresses the trade-off between the sensor’s desirable attributes—small size, low cost, and wide field of view—and its poor spatial detail. Her earlier foundational paper (2009, 6 citations) established the core methodology, demonstrating how to extract high-resolution depth maps from a sequence of noisy, low-resolution captures. By providing a practical solution to enhance the utility of flash LADAR in real-world robotics applications, Nguyen’s work has laid important groundwork for more reliable autonomous systems.