Sing Yew Ng

Papers

1

Total Citations

4

H-Index

1

About

Sing Yew Ng is a rising researcher in underwater robotics, whose work tackles the fundamental challenge of localisation in GPS-denied, turbid environments. His primary research areas centre on low-cost sensor fusion for autonomous underwater vehicles (AUVs), specifically integrating single-beam echosounders with inertial measurement units (IMUs) to achieve reliable positioning without expensive acoustic arrays. His most-cited paper, "Low-cost Underwater Localisation Using Single-Beam Echosounders and Inertial Measurement Units" (2023, 4 citations), demonstrates a pragmatic approach to overcoming the limitations of electromagnetic wave attenuation and optical camera failure in murky waters. By leveraging the inherent immunity of SONARs to these issues, Ng proposes a method that balances spatial resolution constraints with cost-effectiveness, making underwater navigation more accessible for smaller research teams and commercial applications. This work represents a notable step toward democratising AUV technology, offering a viable alternative to high-end inertial navigation systems. As his citation count grows, Sing Yew Ng is establishing himself as a key contributor to practical, field-ready solutions in underwater robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Low-cost Underwater Localisation Using Single-Beam Echosounders and Inertial Measurement Units
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago