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DEVELOPMENT AND SIMULATION OF A HYBRID LTA DRONE FOR AUTONOMOUS PIPELINE MONITORING USING YOLO-BASED VISION
The oil and gas industry depends heavily on extensive pipeline networks, requiring
regular inspection and maintenance to ensure structural integrity and prevent failures.
Traditional methods, such as manual visual inspections and high-sensitivity sensor
based techniques, are time-consuming, hazardous, and prone to human error