3 papers
cs.CV2025
Enhancing the Quality of 3D Lunar Maps Using JAXA's Kaguya Imagery
Yumi Iwashita, Haakon Moe, Yang Cheng +6
As global efforts to explore the Moon intensify, the need for high-quality 3D lunar maps becomes increasingly critical-particularly for long-distance missions such as NASA's Endura…
cs.CV2024
Fast LiDAR Upsampling using Conditional Diffusion Models
Sander Elias Magnussen Helgesen, Kazuto Nakashima, Jim Tørresen +1
The search for refining 3D LiDAR data has attracted growing interest motivated by recent techniques such as supervised learning or generative model-based methods. Existing approach…
cs.LG2024
A comparative study on machine learning approaches for rock mass classification using drilling data
Tom F. Hansen, Georg H. Erharter, Zhongqiang Liu +1
Current rock engineering design in drill and blast tunnelling primarily relies on engineers' observational assessments. Measure While Drilling (MWD) data, a high-resolution sensor…