首页|Inner Mongolia Agricultural University Reports Findings in Machine Learning (Dam age detection of road domain waveform guardrail structure based on machine learn ing multi-module fusion)
Inner Mongolia Agricultural University Reports Findings in Machine Learning (Dam age detection of road domain waveform guardrail structure based on machine learn ing multi-module fusion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating from Inner Mongol ia, People's Republic of China, by NewsRx correspondents, research stated, "The current highway waveform guardrail recognition technology has encountered proble ms with low segmentation accuracy and strong noise interference. Therefore, an i mproved U-net semantic segmentation model is proposed to improve the efficiency of road maintenance detection." Financial support for this research came from Department of Science and Technolo gy of Inner Mongolia Autonomous Region. Our news editors obtained a quote from the research from Inner Mongolia Agricult ural University, "The model training is guided by mixed expansion convolution an d mixed loss function, while the presence of guardrail shedding is investigated by using partial mean values of gray values in ROI region based on segmentation results, while the first-order detail coefficients of wavelet transform are appl ied to detect guardrail defects and deformation. It has been determined that the Miou and Dice of the improved model are improved by 8.63% and 17. 67%, respectively, over the traditional model, and that the method of detecting defects in the data is more accurate than 85%."
Inner MongoliaPeople's Republic of Chi naCyborgsEmerging TechnologiesMachine Learning
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