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Work item:
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F.748.75 (ex F.MTTIR)
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Subject/title:
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Requirements and framework of computer vision and audition-based transportation tunnel inspection robotic systems
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Status:
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Under study [Issued from previous study period]
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Approval process:
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TAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2025-10 (Medium priority)
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Liaison:
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ITU-T SG20, ISO/IEC JTC1 SC42
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Supporting members:
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China Telecom, China Unicom, ETRI, Republic of Korea, ICT-CAS, Zhejiang Dahua Technology, State Grid of China
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Summary:
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Transportation tunnels are susceptible to various defects and disasters over their operational lifespan, which can compromise structural safety and operational efficiency. Traditional manual inspection methods often face challenges in terms of safety, accuracy, and cost-effectiveness. The integration of robotic systems with advanced artificial intelligence (AI) technologies, particularly computer vision and computer audition, presents a transformative approach to enhance the intelligence and analytical capabilities of tunnel inspection.
This Recommendation specifies the requirements and framework for computer vision and audition-based transportation tunnel inspection robotic systems. It provides a layered reference framework comprising a device layer, network layer, service and application support layer, and an application layer, supported by cross-layer management and security capabilities. Furthermore, it specifies functional requirements for each component, with a focus on leveraging AI to achieve intelligent, efficient, and comprehensive tunnel inspection.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2023-08-21 16:39:14
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Last update:
2025-10-29 12:49:14
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