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Novel CE-CBCE feature extraction method for object classification using a low-density LiDAR point cloud

Low-end LiDAR sensor provides an alternative for depth measurement and object recognition for lightweight devices. However due to low computing capacity, complicated algorithms are incompatible to be performed on the device, with sparse information further limits the feature available for extract...

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Bibliographic Details
Main Authors: Mohd Romlay, Muhammad Rabani, Mohd Ibrahim, Azhar, Toha, Siti Fauziah, De Wilde, Philippe, Venkat, Ibrahim
Format: Article
Language:English
English
Published: Public Library of Science 2021
Subjects:
T Technology (General)
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/91744/7/91744_Novel%20CE-CBCE%20feature%20extraction%20method.pdf
http://irep.iium.edu.my/91744/13/91744_Novel%20CE-CBCE%20feature%20extraction%20method_Scopus.pdf
http://irep.iium.edu.my/91744/
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256665
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Internet

http://irep.iium.edu.my/91744/7/91744_Novel%20CE-CBCE%20feature%20extraction%20method.pdf
http://irep.iium.edu.my/91744/13/91744_Novel%20CE-CBCE%20feature%20extraction%20method_Scopus.pdf
http://irep.iium.edu.my/91744/
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256665

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