A New Benchmark for Large-Scale Point Cloud Registration: WHU-TLS
Registering large-scale point clouds is fundamental for applications ranging from 3D modeling and robotics to forestry and heritage conservation. Yet, existing datasets often face key issues: they either lack the scale and environmental diversity needed for real-world scenarios, or they do not provide sufficient variations in overlap, point density, and clutter. WHU-TLS overcomes these limitations by providing a massive, highly diverse collection of Terrestrial Laser Scanning (TLS) point clouds across varied environments, paired with reliable ground-truth transformations for precise algorithm evaluation.
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Jack Dangermond Award - Best Paper 2025
The winners of Jack Dangermond Best Paper Award 2025 are Mañago, C.A.R.; Nasalita, M.G.; Saveron, C.V.; Sunga, Y.A.D.; Claridades, A.R.C. for their paper:
Development of a Fifteen-Minute City Index Using Walkability Scores and Age-Classified Population: The Case of Pasig City, Metro Manila, Philippines. ISPRS Int. J. Geo-Inf. 2025, 14, 78.
https://doi.org/10.3390/ijgi14020078