首页|Institute Technology Bandung Researchers Provide New Insights into Artificial Intelligence (System for Tracking Aircraft Ground Movement Utilizing Artificial Intelligence)
Institute Technology Bandung Researchers Provide New Insights into Artificial Intelligence (System for Tracking Aircraft Ground Movement Utilizing Artificial Intelligence)
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Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from the Institute Technology Bandung by NewsRx correspondents, research stated, "Using a virtual ATC tower is one aspect of the airport digitization initiative, which aims to cut costs." Our news correspondents obtained a quote from the research from Institute Technology Bandung: "Technology for tracking and detecting aircraft is required to guarantee the security of the deployment of virtual ATC towers. The invention of visual artificial intelligence that can recognize and follow aircraft ground movement in an airport is presented in this study. One feature that should be developed in this study is the capacity to issue a warning if two aircraft are in close proximity to one another. The techniques consist of a coordinate system conversion from pixels to meters for aircraft separation computation, the Deep SORT object tracking algorithm, and the YOLOv4 object recognition algorithm that has been trained using Image Dehazing Filter. Next, a fair-condition recorded airport video is used to validate the model. With a mean average precision score of 95.92%, the trained YOLOv4 model was able to track every aircraft in the video, and with an error of 5.09%, the aircraft separation warning system functioned as expected." According to the news reporters, the research concluded: "An airport's possible use of an aircraft ground movement tracker was demonstrated by the constructed model."
Institute Technology BandungArtificial IntelligenceEmerging TechnologiesMachine Learning
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