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Showing 1 to 4 of 4 for “"trajectory clustering"”.
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Incremental clustering for trajectories
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often received incrementally, e.g., continuous new points reported by GPS system. However, since existing trajectory clustering …
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Bus network sketch planning with origin-destination travel data
… level. Finally, a new methodology for spatially clustering OD pairs into corridors is developed, based on trajectory clustering methods. This final methodology represents a new way of aggregating OD level information to accomplish the first step in bus network design: the definition of corridors …
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Lagrangian coherent structures and trajectory similarity: two important tools for scientific visualization
… (e.g. hurricane paths). LCS surfaces and trajectory-based techniques (e.g. trajectory clustering) are complementary to each other for visualization, while velocity fields and trajectories are two important types of scientific data, which are more and more accessible by virtue of the …
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Trajectory bundle estimation For perception-driven planning
… We develop a new representation based around trajectory bundles, that makes this challenging task more tractable. Rather than attempt to explicitly model the geometry of the world in front of the vehicle (which can be incredibly complex), we reason about the world in terms of what the vehicle …