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Improving Place Recognition Using Dynamic Object Detection
by
Juan Pablo Munoz
, Dexter, Scott
in
Algorithms
/ Deep learning
/ Feature extraction
/ Fuses
/ Indoor environments
/ Machine learning
/ Object recognition
/ Representations
2020
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Do you wish to request the book?
Improving Place Recognition Using Dynamic Object Detection
by
Juan Pablo Munoz
, Dexter, Scott
in
Algorithms
/ Deep learning
/ Feature extraction
/ Fuses
/ Indoor environments
/ Machine learning
/ Object recognition
/ Representations
2020
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Improving Place Recognition Using Dynamic Object Detection
Paper
Improving Place Recognition Using Dynamic Object Detection
2020
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Overview
We present a novel approach to place recognition well-suited to environments with many dynamic objects--objects that may or may not be present in an agent's subsequent visits. By incorporating an object-detecting preprocessing step, our approach yields high-quality place representations that incorporate object information. Not only does this result in significantly improved place recognition in dynamic environments, it also significantly reduces memory/storage requirements, which may increase the effectiveness of mobile agents with limited resources.
Publisher
Cornell University Library, arXiv.org
Subject
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