Vehicle Target Detection of Autonomous Driving Vehicles in Foggy Environments Based on an Improved YOLOX Network

To address the problems that exist in the target detection of vehicle-mounted visual sensors in foggy environments, a vehicle target detection method based on an improved YOLOX network is proposed. Firstly, to address the issue of vehicle target feature loss in foggy traffic scene images, specific c...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 25; no. 1; p. 194
Main Authors:	Liu, Zhaohui, Zhang, Huiru, Lin, Lifei
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.01.2025 MDPI
Subjects:	Accuracy Algorithms attention mechanism Computational linguistics Deep learning Fog foggy environment image enhancement Language processing Methods Natural language interfaces Neural networks Parameter estimation Sensors transfer learning vehicle target detection Vehicles visual sensors transfer learning image enhancement attention mechanism vehicle target detection foggy environment visual sensors
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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