Region Based CNN for Foreign Object Debris Detection on Airfield Pavement

Region Based CNN for Foreign Object Debris Detection on Airfield Pavement

In this paper, a novel algorithm based on convolutional neural network (CNN) is proposed to detect foreign object debris (FOD) based on optical imaging sensors. It contains two modules, the improved region proposal network (RPN) and spatial transformer network (STN) based CNN classifier. In the impr...

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Bibliographic Details
Main Authors: Xiaoguang Cao, Peng Wang, Cai Meng, Xiangzhi Bai, Guoping Gong, Miaoming Liu, Jun Qi
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sensors
Subjects:
foreign object debris
object detection
convolutional neural network
vehicular imaging sensors
Online Access:http://www.mdpi.com/1424-8220/18/3/737

Internet

http://www.mdpi.com/1424-8220/18/3/737

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