Pothole 3D Reconstruction With a Novel Imaging System and Structure From Motion Techniques


Machine vision based evaluation systems are receiving increased attention, day by day, for automated quality inspection of roads. Industrial pavement scanners consist of laser scanners and are very expensive, hence inaccessible for everyone. The proposed work presents a simple and novel approach for 3D reconstruction of potholes for an automated inspection and road surface evaluation. The technique utilizes a Structure from Motion based 3D reconstruction algorithm, along with laser triangulation, to generate 3D point clouds of potholes. Alongside, a novel low-cost system, consisting of a single camera and a laser pointer, is also proposed. Keypoint matching techniques are employed, with the 5-point algorithm, on successive image frames to generate a point cloud. However, this point cloud is not metric yet, without scale information. The scale ambiguity is solved by making use of the laser pointer, and using the principle of triangulation. The laser spot is also detected in the same image sequence that is used for point-cloud building, cutting down the image capturing and processing overhead. The system has been benchmarked on artificial indentations with known dimensions, proving the robustness of the measurement scheme and hardware. Static and dynamic tests have been performed. The mean depth errors for measurement made by the imager statically and at dynamic speeds of 10 km/hr, 15 km/hr, and 20 km/hr are 5.3%, 7.9%, 14.4%, and 26.6%, whereas for perimeter the errors are 5.2%, 6.83 %, 11.8%, and 27.8%. The proposed, low-cost technique shows promising results in generating 3D point clouds for potholes.

Publication DOI: https://doi.org/10.1109/TITS.2021.3054026
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: Cameras,Image reconstruction,Measurement by laser beam,Pavement,Real-time systems,Roads,Surface reconstruction,Three-dimensional displays,imaging,keypoint,metrology.,potholes,structure from motion,Automotive Engineering,Mechanical Engineering,Computer Science Applications
Publication ISSN: 1558-0016
Last Modified: 18 Jun 2024 07:35
Date Deposited: 02 Mar 2021 08:18
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Related URLs: https://ieeexpl ... ocument/9345528 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2021-02-02
Published Online Date: 2021-02-02
Accepted Date: 2021-02-01
Authors: Ahmed, Adeel
Technology, National University of Sciences
Mathavan, Senthan
Kamal, Khurram
Rahman, Mujib (ORCID Profile 0000-0002-5177-4159)



Version: Accepted Version

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