Comprehensive analysis and comparison of advanced pavement defect detection algorithms using different data acquisition systems
Abstract
Comprehensive analysis and comparison of advanced pavement defect detection algorithms using different data acquisition systems
Incoming article date: 08.08.2024The effectiveness of advanced pavement defect detection algorithms is considered depending on the data collection devices used, such as cameras, GPR, LiDAR and IMU sensors installed in smartphones. Rational use of these hardware and software tools will allow utilities to identify and eliminate road surface defects in a timely manner, thereby improving road safety.
Keywords: transportation sector, pavement defects, mobile road laboratories, neural network algorithms, computer vision