Benjamin Anstey
Papers
1
Total Citations
12
H-Index
1
About
Benjamin Anstey is a researcher whose work lies at the intersection of autonomous underwater vehicle (AUV) navigation and real-time image processing. His key research areas include side scan sonar image generation, sensor registration, and qualitative navigation systems for subsea robotics. Anstey’s most notable contribution is his development of a real-time side scan image generation and registration framework for AUV route following, a system that enables localization and path following without relying on globally referenced position estimates. This work, published in 2012 and cited 12 times, was foundational to the Qualitative Navigation System (QNS) being developed for the Memorial Explorer AUV at Memorial University. By allowing an AUV to follow a trained route using only local sensor data, Anstey’s framework addresses a critical challenge in underwater autonomy: reliable navigation in GPS-denied environments. His research has practical implications for ocean exploration, pipeline inspection, and environmental monitoring, where AUVs must operate for extended periods without surfacing. Anstey’s contributions demonstrate a clear focus on bridging theoretical navigation algorithms with real-world robotic deployment, making his work valuable for students and researchers interested in marine robotics, sensor fusion, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1