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Towards Large-scale Occupancy Map Building using Dirichlet and Gaussian Processes

Kim, Soohwan; Kim, Jonghyuk

Description

This paper proposes a new method for building occupancy maps using Dirichlet and Gaussian processes. We consider occupancy map building as a classification problem and apply Gaussian processes. The main drawback of Gaussian processes, however, is the computational complexity of O(n3) related to the matrix inversion, where n is the number of data points. To enable large-scale occupancy map building, we propose to use Dirichlet process mixture models which cluster input data without fixing the...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
URI: http://hdl.handle.net/1885/64346
Source: Towards Large-scale Occupancy Map Buiding using Gaussian and Dirichlet Processes

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