Digital Image Correlation (DIC) is an optical technique that measures displacement and strain by tracking pattern movement in a sequence of captured images during testing. DIC has gained recognition in asphalt pavement engineering since the early 2000s. However, users often perceive the DIC technique as an out-of-box tool and lack a thorough understanding of its operational and measurement principles. This article presents a state-of-art review of DIC as a crucial tool for laboratory testing of asphalt concrete (AC), primarily focusing on the widely utilized 2D-DIC and 3D-DIC techniques. To address frequently asked questions from users, the review thoroughly examines the optimal methods for preparing speckle patterns, configuring single-camera or dual-camera imaging systems, conducting DIC analyses, and exploring various applications. Furthermore, emerging DIC methodologies such as Digital Volume Correlation and deep-learning-based DIC are introduced, highlighting their potential for future applications in pavement engineering. The article also provides a comprehensive and reliable flowchart for implementing DIC in AC characterization. Finally, critical directions for future research are presented.

数字图像相关（DIC）是一种光学技术，通过跟踪测试期间捕获的图像序列中的模式移动来测量位移和应变。本文综述了DIC作为沥青混凝土实验室测试的关键工具，主要关注广泛应用的2D-DIC和3D-DIC技术。同时介绍了新兴的DIC方法，如数字体积相关和基于深度学习的DIC，并强调了它们在道路工程中的潜力。该文章还提供了实施DIC进行AC表征的全面可靠的流程图。最后，介绍了未来研究的关键方向。

使用数字图像相关的沥青混凝土表征：最佳实践、应用和未来视野的系统综述