Findings from Wuhan University of Technology Provides New Data on Intelligent Tr ansport Systems (Multispectral Pedestrian Detection Based On Feature Complementa tion and Enhancement)
Findings from Wuhan University of Technology Provides New Data on Intelligent Tr ansport Systems (Multispectral Pedestrian Detection Based On Feature Complementa tion and Enhancement)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Transportation - I ntelligent Transport Systems. According to newsreporting from Wuhan, People’s R epublic of China, by NewsRx journalists, research stated, “Multispectralpedestr ian detection with visible light and infrared images is robust to changes in lig hting conditions andtherefore is of great importance to numerous applications t hat require all-day environmental perception.This paper proposes a novel method named FCE-RCNN, which integrates saliency detection as a sub-taskand utilizes global information for enhanced feature representation.”
Key words
Wuhan/People’s Republic of China/Asia/Intelligent Transport Systems/Transportation/Wuhan University of Technology
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