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IEEE/ICACT20260211 Slide.14        [Big Slide]       [YouTube]	Oral Presentation
	Recent research has increasingly focused on hybrid approaches that integrate convolutional neural networks (CNNs) with auxiliary sensing technologies, such as laser scanners and inertial measurement units (IMUs), to enhance the accuracy and robustness of texture detection. The fusion of visual and complementary sensor data enables a more holistic understanding of road surface conditions.

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