3D reconstruction of road surfaces using an integrated multi-sensory approach

In this paper, we present our experience in building a mobile imaging system that incorporates multi-modality sensors for road surface mapping and inspection applications. Our proposed system leverages 3D laser-range sensors, video cameras, global positioning systems (GPS) and inertial measurement u...

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Veröffentlicht in:Optics and lasers in engineering 2007-07, Vol.45 (7), p.808-818
Hauptverfasser: Yu, Si-Jie, Sukumar, Sreenivas R., Koschan, Andreas F., Page, David L., Abidi, Mongi A.
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container_end_page 818
container_issue 7
container_start_page 808
container_title Optics and lasers in engineering
container_volume 45
creator Yu, Si-Jie
Sukumar, Sreenivas R.
Koschan, Andreas F.
Page, David L.
Abidi, Mongi A.
description In this paper, we present our experience in building a mobile imaging system that incorporates multi-modality sensors for road surface mapping and inspection applications. Our proposed system leverages 3D laser-range sensors, video cameras, global positioning systems (GPS) and inertial measurement units (IMU) towards the generation of photo-realistic, geometrically accurate, geo-referenced 3D models of road surfaces. Based on our summary of the state-of-the-art systems for a road distress survey, we identify several challenges in the real-time deployment, integration and visualization of the multi-sensor data. Then, we present our data acquisition and processing algorithms as a novel two-stage automation procedure that can meet the accuracy requirements with real-time performance. We provide algorithms for 3D surface reconstruction to process the raw data and deliver detail preserving 3D models that possess accurate depth information for characterization and visualization of cracks as a significant improvement over contemporary commercial video-based vision systems.
doi_str_mv 10.1016/j.optlaseng.2006.12.007
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source Elsevier ScienceDirect Journals Complete
subjects 3D geometric mapping
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Laser range scanning
Multi-sensor integration
Optical elements, devices, and systems
Optics
Physics
Range finders, remote sensing devices, laser doppler velocimeters, sar, and lidar
Road surface reconstruction
title 3D reconstruction of road surfaces using an integrated multi-sensory approach
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