A deep learning based image enhancement approach for autonomous driving at night-Reference-Cited by-同舟云学术

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A deep learning based image enhancement approach for autonomous driving at night

Published:2021-02 Issue: Volume:213 Page:106617
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Guofa,Yang Yifan,Qu Xingda,Cao Dongpu,Li Keqiang

Funder

Natural Science Foundation of Guangdong Province

Shenzhen Fundamental Research Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference68 articles.

1. A review of deep learning with special emphasis on architectures, applications and recent trends;Sengupta;Knowl.-Based Syst.,2020

2. Concealed object detection for activate millimeter wave image;Liu;IEEE Trans. Ind. Electron.,2019

3. Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations;Li;Mech. Syst. Signal Process.,2019

4. Object classification using CNN-based fusion of vision and LIDAR in autonomous vehicle environment;Gao;IEEE Trans. Ind. Inf.,2018

5. Ontology-based conditional random fields for object recognition;Ruiz-Sarmiento;Knowl.-Based Syst.,2019

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