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Mobile Phone-Based Artificial Intelligence Development for Maintenance Asset Management [Research Brief]
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2024-06-01
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Abstract:To achieve the research objectives of this project, four specific tasks are involved: Task 1: A comprehensive literature review is conducted to explore and examine existing technologies and practices related to transportation asset collection and inspection, including emerging AI technologies. Task 2: A mobile phone mounted on a vehicle is used to collect data by recording videos while driving on Utah highways and streets. The capability of AI in transportation asset identification and condition assessment is pre-evaluated. Task 3: Based on self-collected images and utilizing AI algorithms, multiple AI models are developed to inspect and identify transportation assets, including assessing pavement marking conditions, identifying the various traffic signs, and detecting common litter on the roads. The performance of each model is evaluated. Task 4: An AI prototype model is also developed to identify concrete barriers and steel guardrails.
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[PDF-542.67 KB]
