Vision-Based On-Road Nighttime Vehicle Detection and Tracking Using Taillight and Headlight Features

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ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

"Vision-Based On-Road Nighttime Vehicle Detection and Tracking Using Taillight and Headlight Features"
written by Shahnaj Parvin, Liton Jude Rozario, Md. Ezharul Islam,
published by Journal of Computer and Communications, Vol.9 No.3, 2021

has been cited by the following article(s):

[1]	Quantitative Structure-property Relationship Model Based on Artificial Neural Network
	molecules, 2022

[2]	Applying Ternion Stream DCNN for real-time vehicle re-identification and tracking across multiple non-overlapping cameras
	Sensors, 2022

[3]	Vehicle Detection in Low Illumination Based on Attention Mechanism and RetinexNet
	2022

[4]	METODY PŘEDZPRACOVÁNÍ OBRAZU PRO AUTOMATICKOU DETEKCI ÚČASTNÍKŮ SILNIČNÍHO PROVOZU
	Perner's Contacts, 2022

[1]	Deep Hierarchical Rear‐Lamp Tracking at Nighttime IEEJ Transactions on Electrical and Electronic Engineering, 2024 DOI:10.1002/tee.23951

[2]	Application of SSD network algorithm in panoramic video image vehicle detection system Open Computer Science, 2023 DOI:10.1515/comp-2022-0270

[3]	Proceedings of International Conference on Advanced Communications and Machine Intelligence Studies in Autonomic, Data-driven and Industrial Computing, 2023 DOI:10.1007/978-981-99-2768-5_21

[4]	Robust visual detection of brake-lights in front for commercialized dashboard camera PLOS ONE, 2023 DOI:10.1371/journal.pone.0289700

[5]	Application of SSD network algorithm in panoramic video image vehicle detection system Open Computer Science, 2023 DOI:10.1515/comp-2022-0270

[6]	Applying Ternion Stream DCNN for Real-Time Vehicle Re-Identification and Tracking across Multiple Non-Overlapping Cameras Sensors, 2022 DOI:10.3390/s22239274

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