Emma Dawson

Queen's University

Papers

1

Total Citations

7

H-Index

1

About

Dr. Emma Dawson is a leading researcher in autonomous navigation and multi-sensor fusion, with a particular focus on robust perception in challenging urban environments. Her most impactful work centers on the development of the NavINST Dataset, a comprehensive multi-sensor resource designed to advance autonomous vehicle localization and mapping. This dataset, which has already garnered 7 citations since its 2025 publication, captures diverse road-test trajectories under varying lighting conditions, including complex indoor garage scenarios with dense 3D maps. By integrating data from multiple commercial-grade sensors, Dawson’s work provides a critical benchmark for the research community, enabling more reliable navigation systems in real-world settings. Her contributions are instrumental in bridging the gap between laboratory testing and practical deployment, offering a standardized tool for evaluating sensor fusion algorithms. Dr. Dawson’s efforts are shaping the future of autonomous systems, making her a key figure in the ongoing quest for safer, more resilient self-driving technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
The NavINST Dataset for Multi-Sensor Autonomous Navigation
7 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Queen's University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago