Abstract | ||
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This paper introduces the structure of wavelet occupancy grids (WavOGs) as a tool for storing occupancy grids in a compact
way. We have shown that WavOGs provide a continuous semantics of occupancy through scaled spaces. In accordance with the theoretical
properties of wavelets, our experiments have validated that WavOGs allow major memory gains. WavOG as a compact multi-scaled
tool provides an efficient framework for the various algorithms that use OGs such as robot navigation, spatio-temporal classification
or multiple target-tracking. In future works we plan to apply WavOGs to the monitoring of urban traffic over large areas.
|
Year | DOI | Venue |
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2005 | 10.1007/978-3-540-33453-8_19 | Springer Tracts in Advanced Robotics |
Keywords | Field | DocType |
occupancy grid,scale space | Computer vision,Computer science,Simulation,Occupancy,Artificial intelligence,Robot,Semantics,Occupancy grid mapping,Wavelet | Conference |
Volume | ISSN | Citations |
25 | 1610-7438 | 14 |
PageRank | References | Authors |
0.81 | 11 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Manuel Yguel | 1 | 111 | 7.46 |
Olivier Aycard | 2 | 309 | 26.57 |
Christian Laugier | 3 | 14 | 0.81 |