Space- and Time-Efficient Storage of LiDAR Point Clouds
December 26, 2019 Β· Declared Dead Β· π SPIRE
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Authors
Susana Ladra, Miguel R. Luaces, JosΓ© R. ParamΓ‘, Fernando Silva-Coira
arXiv ID
1912.11859
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DB
Citations
2
Venue
SPIRE
Last Checked
4 months ago
Abstract
LiDAR devices obtain a 3D representation of a space. Due to the large size of the resulting datasets, there already exist storage methods that use compression and present some properties that resemble those of compact data structures. Specifically, LAZ format allows accesses to a given datum or portion of the data without having to decompress the whole dataset and provides indexation of the stored data. However, LAZ format still have some drawbacks that should be faced. In this work, we propose a new compact data structure for the representation of a cloud of LiDAR points that supports efficient queries, providing indexing capabilities that are superior to those of LAZ format.
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