Design and Augmentation of a Deep Learning Based Vehicle Detection Model for Low Light Intensity Conditions

The development of autonomous vehicles and the Advanced Driver Assistance System (ADAS) has accelerated recently, effective traffic management and road safety depend heavily on vehicle identification. However, reliable vehicle detection in low-light situations at night or in bad weather remains a ch...

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Veröffentlicht in:	SN computer science Jg. 5; H. 5; S. 605
Hauptverfasser:	Vishwakarma, Pramod Kumar, Jain, Nitin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.06.2024 Springer Nature B.V
Schlagworte:	Advanced driver assistance systems Algorithms Artificial neural networks Classification Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data analysis Data augmentation Data Structures and Information Theory Datasets Deep learning Information Systems and Communication Service Labeling Luminous intensity Machine learning Neural networks Object recognition Original Research Pattern Recognition and Graphics Roads & highways Safety management Security for Communication and Computing Application Semantics Software Engineering/Programming and Operating Systems Traffic management Traffic safety Vehicle identification Vehicles Vision Vision systems Deep learning CNN Algorithms Evolution metrics Object detection YOLOv8
ISSN:	2661-8907, 2662-995X, 2661-8907
Online-Zugang:	Volltext
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