Road Condition Monitoring Utilizing UAV Photogrammetry Aligned to Principal Curve of Mine Haul Truck Path

Author:

Douglas AlexanderORCID,Langenderfer Martin,Johnson Catherine

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Geotechnical Engineering and Engineering Geology,General Chemistry,Control and Systems Engineering

Reference47 articles.

1. Lalak M, Wierzbicki D, Kędzierski M (2020) Methodology of processing single-strip blocks of imagery with reduction and optimization number of ground control points in UAV photogrammetry. Remote Sens 12(20). https://doi.org/10.3390/rs12203336

2. Brooks C, Dobson R, Banach D, Dean D, Oommen T, Wolf R, Havens T, Ahlborn T, Hart B (2015) Evaluating the use of unmanned aerial vehicles for transportation purposes. Report No. RC-1616, Michigan Department of Transportation, Michigan, USA

3. Zhang C (2008) An UAV-based photogrammetric mapping system for road condition assessment. Int Arch Photogramm Remote Sens Spatial Inf Sci 37:627–632

4. McGhee KH (2004) Automated pavement distress collection techniques, vol. 334. Transportation Research Board

5. Zongjian LIN (2008) UAV for mapping—low altitude photogrammetric survey. Int Arch Photogramm Remote Sens Beijing China 37:1183–1186

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