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Corrosion Condition Rating Database, Zahra Ameli, Eric Landis
Corrosion Condition Rating Database, Zahra Ameli, Eric Landis
Non-Thesis Student Work
This dataset contains 514 RGB images and corresponding pixel-level annotation files in two separate formats; .json and .txt. The images are collected from steel bridge elements using a drone and a Nikon camera. The images was randomly split into 412 training images and 90 validation and 12 testing images. Two dataset for training Mask RCNN and YOLOv8 models are included in the database. All the annotations are carefully performed for quality assurance. The three classes used in this study, represents different levels of corrosion severity (corrosion condition states) according to American Association of State Highway and Transportation Officials (AASHTO) and …
Impact Of Uav Hardware Options On Bridge Inspection Mission Capabilities, Zahra Ameli, Yugandhar Aremanda, Wilhelm A. Friess, Eric N. Landis
Impact Of Uav Hardware Options On Bridge Inspection Mission Capabilities, Zahra Ameli, Yugandhar Aremanda, Wilhelm A. Friess, Eric N. Landis
Civil Engineering Faculty Scholarship
Uncrewed Aerial Vehicles (UAV) constitute a rapidly evolving technology field that is becoming more accessible and capable of supplementing, expanding, and even replacing some traditionally manual bridge inspections. Given the classification of the bridge inspection types as initial, routine, in-depth, damage, special, and fracture critical members, specific UAV mission requirements can be developed, and their suitability for UAV application examined. Results of a review of 23 applications of UAVs in bridge inspections indicate that mission sensor and payload needs dictate the UAV configuration and size, resulting in quadcopter configurations being most suitable for visual camera inspections (43% of visual inspections …