A Deep-Learning-Based Vehicle Detection Approach for Insufficient and Nighttime Illumination Conditions

A Deep-Learning-Based Vehicle Detection Approach for Insufficient and Nighttime Illumination Conditions

Most object detection models cannot achieve satisfactory performance under nighttime and other insufficient illumination conditions, which may be due to the collection of data sets and typical labeling conventions. Public data sets collected for object detection are usually photographed with suffici...

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Bibliographic Details
Main Authors: Ho Kwan Leung, Xiu-Zhi Chen, Chao-Wei Yu, Hong-Yi Liang, Jian-Yi Wu, Yen-Lin Chen
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Applied Sciences
Subjects:
vehicle detection
deep learning
nighttime surveillance
convolutional neural networks
insufficient lighting
ambient illumination
real-time detection
residual architecture
Online Access:https://www.mdpi.com/2076-3417/9/22/4769

Internet

https://www.mdpi.com/2076-3417/9/22/4769

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