IDOD-YOLOV7: Image-Dehazing YOLOV7 for Object Detection in Low-Light Foggy Traffic Environments

Convolutional neural network (CNN)-based autonomous driving object detection algorithms have excellent detection results on conventional datasets, but the detector performance can be severely degraded in low-light foggy weather environments. Existing methods have difficulty in achieving a balance be...

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Principais autores:	Yongsheng Qiu, Yuanyao Lu, Yuantao Wang, Haiyang Jiang
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2023-01-01
סדרה:	Sensors
נושאים:	IDOD-YOLOV7 object detection low-light foggy images autonomous driving
גישה מקוונת:	https://www.mdpi.com/1424-8220/23/3/1347
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!