Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms. (arXiv:2204.13590v1 [cs.CV])

Computer vision algorithms have been prevalently utilized for 3-D road
imaging and pothole detection for over two decades. Nonetheless, there is a
lack of systematic survey articles on state-of-the-art (SoTA) computer vision
techniques, especially deep learning models, developed to tackle these
problems. This article first introduces the sensing systems employed for 2-D
and 3-D road data acquisition, including camera(s), laser scanners, and
Microsoft Kinect. Afterward, it thoroughly and comprehensively reviews the SoTA
computer vision algorithms, including (1) classical 2-D image …

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