A Sample-Free Bayesian-Like Model for Indoor Environment Recognition

A Sample-Free Bayesian-Like Model for Indoor Environment Recognition

Visual localization of indoor environments enables an autonomous system to recognize its current location and environment using sensors such as a camera. This paper proposes a method for visual recognition of indoor environments leveraging on existing object detection, ontology, Bayesian-like framew...

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Bibliographic Details
Main Authors: Kazeem Oyebode, Shengzhi Du, Barend Jacobus Van Wyk, Karim Djouani
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bayesian reasoning
image recognition
image localization
convolutional neural network
ontologies
Online Access:https://ieeexplore.ieee.org/document/8734705/

Internet

https://ieeexplore.ieee.org/document/8734705/

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