PlaneSDF-Based Change Detection for Long-Term Dense Mapping

PlaneSDF-Based Change Detection for Long-Term Dense Mapping

The ability to process environment maps across multiple sessions is critical for robots operating over extended periods of time. Specifically, it is desirable for autonomous agents to detect changes amongst maps of different sessions so as to gain a conflict-free understanding of the current environ...

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Bibliographic Details
Main Authors: Fu, Jiahui, Lin, Chengyuan, Taguchi, Yuichi, Cohen, Andrea, Zhang, Yifu, Mylabathula, Stephen, Leonard, John J.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2024
Subjects:
Artificial Intelligence
Control and Optimization
Computer Science Applications
Computer Vision and Pattern Recognition
Mechanical Engineering
Human-Computer Interaction
Biomedical Engineering
Control and Systems Engineering
Online Access:https://hdl.handle.net/1721.1/153752

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