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Predictive and Semantic Layout Estimation for Robotic Applications in Manhattan Worlds
lib:42b883c0a3b50a3a (v1.0.0)
Authors: Armon Shariati,Bernd Pfrommer,Camillo J. Taylor
ArXiv: 1811.07442
Document: PDF DOI
Abstract URL: http://arxiv.org/abs/1811.07442v1
This paper describes an approach to automatically extracting floor plans from the kinds of incomplete measurements that could be acquired by an autonomous mobile robot. The approach proceeds by reasoning about extended structural layout surfaces which are automatically extracted from the available data. The scheme can be run in an online manner to build water tight representations of the environment. The system effectively speculates about room boundaries and free space regions which provides useful guidance to subsequent motion planning systems. Experimental results are presented on multiple data sets.
ArXiv: 1811.07442
Document: PDF DOI
Abstract URL: http://arxiv.org/abs/1811.07442v1
This paper describes an approach to automatically extracting floor plans from the kinds of incomplete measurements that could be acquired by an autonomous mobile robot. The approach proceeds by reasoning about extended structural layout surfaces which are automatically extracted from the available data. The scheme can be run in an online manner to build water tight representations of the environment. The system effectively speculates about room boundaries and free space regions which provides useful guidance to subsequent motion planning systems. Experimental results are presented on multiple data sets.
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