Automated Pavement Construction Inspection Using Uncrewed Aerial Systems (UAS)—Hot Mixed Asphalt (HMA) Temperature Segregation
نویسندگان
چکیده
Temperature segregation in Hot Mixed Asphalt (HMA) pavement construction leads to performance problems, such as reduced fatigue life. During construction, Quality Assurance (QA) inspection procedures are required evaluate the condition and detect segregated areas. In traditional HMA highway processes, temperature differences investigated manually, by sampling behind paver. these inspectors work adjacent traffic alongside moving or backing equipment. These processes do not provide a complete profile of mat, endanger inspectors’ safety, require on-site experienced inspectors. An Uncrewed Aerial System (UAS) enables be conducted within remote, non-destructive, safe, efficient framework. The objective this research is design an automated UAS imaging workflow for inspection, mainly locating segregation. primary contribution paper Departments Transportations (DOTs) contractors with workflows creating enhanced remote detailed thermal profiles placed mat. application proposed illustrated using project Michigan.
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......................................................................................... Error! Bookmark not defined. ACKNOWLEDGEMENTS .................................................................................................................... ii CONTENTS .......................................................................................................................................
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ii To my family, friends and professors who helped me throughout this experience iii ACKNOWLEDGEMENTS This research project was made possible with the help of many supporting people throughout the process. I wish to express my gratitude firstly to my supervising professor, Dr. Hosin " David " Lee for the support and advice needed to start and finish this project. I would also like to thank the ...
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ژورنال
عنوان ژورنال: Drones
سال: 2023
ISSN: ['2504-446X']
DOI: https://doi.org/10.3390/drones7070419