About this document
Robust Mapping Algorithms for Sensor Networks by seyyed81 is a document available to read on EtoBox.
This document discusses robust algorithms for automatically generating maps from sensor network data. It proposes using robust likelihood functions within a projected process kriging framework to account for outliers in the data. This allows efficient parameter estimation and map generation without computationally expensive Markov chain Monte Carlo methods. The method is extended to treat large datasets and is tested on radiation monitoring network data from across Europe. Comparisons are made with traditio
- Author
- seyyed81
- Language
- EN