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IEEE/ICACT20260211 Slide.07        [Big Slide]       [YouTube]	Oral Presentation
	The paper¡¯s core significance is that it demonstrates machine vision as a practical, non-contact, and scalable alternative to traditional road macro-texture measurement methods. 1. Replaces labor-intensive and contact-based tests. 2. Enables real-time, large-scale monitoring 3. CNN-based machine vision can robustly extract macro-texture features under varying conditions. 4. Demonstrates sensor fusion 5. Supports data-driven, intelligent pavement management.

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