Fusing infrared thermography and machine learning for real-time pavement quality assessment

Key Points

• Real-time assessment shows enhanced pavement quality detection with machine learning algorithms and infrared thermography.
• The study found significant accuracy improvements, achieving over 90% in identifying pavement conditions.
• Analysis integrates thermal data using advanced machine learning techniques to assess road surfaces effectively.
• Highlights the importance of innovative methods for real-time infrastructure monitoring and maintenance.