Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on computational intelligence have been published. According to news reporting originating from Mie, Japan, by NewsRx correspondents, research stated, “Maintaining high-quality road markings is essential for both safety and traffic flow.” The news correspondents obtained a quote from the research from Mie University: “However, there has been limited research on automating the process of evaluatin g the quality of these markings and identifying degraded ones that need to be fi xed. Our paper introduces a new approach that uses uncertainty aware (UA) regres sion to evaluate the quality of road surface markings. The approach is based on deep learning models and a unique training method called “progressive pretrainin g (PPT).” We used a dataset of RGB images which we converted to binary masks. Th ese masks were then augmented and used to train convolutional neural networks mo dels with a PPT strategy. The results showed that both the hybrid and UA models managed to outperform the baseline model in some metrics such as mean average er ror which was at 24.38% and accuracy with 81.27%.”
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