Automatic image acquisition with knowledge-based approach for multi-directional determination of skid resistance of pavements

作者：Nejad Fereidoon Moghadas^*; Karimi Nasrin; Zakeri H

来源：Automation in Construction, 2016, 71: 414-429.

DOI：10.1016/j.autcon.2016.08.003

• Pavement texture
• The skid resistance
• Image processing
• Wavelet
• Multidirectional judgment

Evaluation of pavement skid resistance (SR), as a crucial index for assessing the degree of pavement safety, is essential for pavement management. Considering the difficulties involved in estimation of an overall index of extent and direction of SR, a new method is proposed in the present work for estimation of the SR using an automated image-based system. The images were first captured by an automated image acquisition system (IAS) and then an image processing expert system and a knowledge-based decision support system (DSS) were designed. The central part of the system proposed in the current work runs based on Wavelet Transform (WT), which consists of distinct modules including pre-processing, feature extraction, approximate indexes in three different directions (horizontal, vertical, and diagonal), and the overall index. The method was verified on a database of pavement images collected in dry and wet conditions. A comparison of the obtained results with those of British pendulum tester (BPT) indicates the validity and high speed of the proposed method.

• 出版日期2016-11