Percy Lam

About

Percy Lam is a leading researcher in geospatial data science and infrastructure monitoring, with a focus on developing large-scale, high-fidelity datasets for automated asset management. His most notable contribution is the creation of the CAMHighways dataset, a landmark resource built from mobile mapping data covering over 40 km of UK highways. This dataset provides richly annotated textured meshes, segmented point clouds, and orthomosaics for road pavements, traffic signs, and furniture, enabling breakthroughs in computer vision and machine learning for civil infrastructure. Since its release in 2024, CAMHighways has already garnered 8 citations, reflecting its rapid adoption by researchers tackling automated road inspection and digital twin development. Lam’s work bridges the gap between raw survey data and practical AI applications, offering a standardized benchmark that accelerates progress in autonomous infrastructure assessment. His contributions are shaping the future of smart transportation systems, making him a key figure in the intersection of remote sensing, urban informatics, and deep learning for real-world engineering challenges.

Research Focus

Key Achievements

Top Papers

1. 1
   CAMHighways: The Cambridge Highways dataset

   8 citations · 2024

Key Collaborators

Contact & Links