Use of Roadway Scene Semantic Information and Geometry-Preserving Landmark Pairs to Improve Visual Place Recognition in Changing Environments

Use of Roadway Scene Semantic Information and Geometry-Preserving Landmark Pairs to Improve Visual Place Recognition in Changing Environments

Visual place recognition (VPR) in changing environments is an urgent challenge for long-term autonomous navigation. One recent ConvNet landmark-based approach exploits region landmarks coupled with ConvNet features to match images, and the approach has shown promising results under significant envir...

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Bibliographic Details
Main Authors: Yi Hou, Hong Zhang, Shilin Zhou, Huanxin Zou
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Visual place recognition
convolutional neural network
landmark detection
landmark matching
autonomous navigation
Online Access:https://ieeexplore.ieee.org/document/7913579/

Internet

https://ieeexplore.ieee.org/document/7913579/

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