Bayesian inference of fog visibility from LiDAR point clouds and correlation with probabilities of detection
Karl Montalban,Christophe Reymann,Dinesh Atchuthan,Paul-Edouard Dupouy,Nicolas Rivière,Simon Lacroix,Karl Montalban,Christophe Reymann,Dinesh Atchuthan,Paul-Edouard Dupouy,Nicolas Rivière,Simon Lacroix
Degraded visual environments have strong impacts on the quality of LiDAR data. Experiments in artificial fog conditions show that noise points caused by water particles present various distance distributions which depend on visibility. This article introduces a mathematical framework based on Bayesian inference and Markov Chain Monte-Carlo sampling to infer optical visibility from point clouds. Th...
