Loop closure detection using supervised and unsupervised deep neural networks for monocular SLAM systems

2020 ◽  
Vol 126 ◽  
pp. 103470
Author(s):  
Azam Rafique Memon ◽  
Hesheng Wang ◽  
Abid Hussain
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Loop Closure ◽  
Loop Closure Detection ◽  
Monocular Slam

A novel loop closure detection method in monocular SLAM

2012 ◽  
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pp. 79-87 ◽  
Author(s):  
Liang Zhiwei ◽  
Gao Xiang ◽  
Chen Yanyan ◽  
Zhu Songhao
Keyword(s):  
Detection Method ◽  
Loop Closure ◽  
Loop Closure Detection ◽  
Monocular Slam

scholarly journals Convolutional Autoencoder aided loop closure detection for monocular SLAM

2018 ◽  
Vol 51 (29) ◽  
pp. 159-164 ◽  
Author(s):  
Marco Leonardi ◽  
Annette Stahl
Keyword(s):  
Loop Closure ◽  
Loop Closure Detection ◽  
Monocular Slam ◽  
Convolutional Autoencoder

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

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Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

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Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks
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