Gaussian process modeling of large-scale terrain

DOI10.1002/rob.20309zbMath1243.68305OpenAlexW3083135905MaRDI QIDQ2899388

Shrihari Vasudevan, Eric Nettleton, H. F. Durrant-Whyte, Fabio Tozeto Ramos

Publication date: 30 July 2012

Published in: Journal of Field Robotics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rob.20309

Mathematics Subject Classification ID

Machine vision and scene understanding (68T45) Artificial intelligence for robotics (68T40)

Related Items (2)

A framework of zero-inflated Bayesian negative binomial regression models for spatiotemporal data ⋮ Surface estimation for multiple misaligned point sets

Cites Work

• On the distribution of functionals of stationary Gaussian processes
• Bayesian learning for neural networks
• A Bayesian regression approach to terrain mapping and an application to legged robot locomotion
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