Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates
In this paper, we address the problem of continually parsing a stream of 3D point cloud data acquired from a laser sensor mounted on a road vehicle. We leverage an online star clustering algorithm coupled with an incremental belief update in an evolving undirected graphical model. The fusion of thes...
Main Authors: | Triebel, Rudolph (Author), Paul, Rohan (Author), Rus, Daniela L. (Contributor), Newman, Paul (Author) |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. School of Engineering (Contributor) |
Format: | Article |
Language: | English |
Published: |
Association for the Advancement of Artificial Intelligence,
2014-10-09T18:03:40Z.
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Subjects: | |
Online Access: | Get fulltext |
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