Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 1135-1142, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/1135/2016/
doi:10.5194/isprs-archives-XLI-B1-1135-2016
 
06 Jun 2016
POTENTIAL OF UAV-BASED LASER SCANNER AND MULTISPECTRAL CAMERA DATA IN BUILDING INSPECTION
D. Mader1, R. Blaskow1, P. Westfeld1, and C. Weller2 1Institute of Photogrammetry and Remote Sensing, Technische Universit¨at Dresden, DE-01062 Dresden, Germany
2Institute of Construction Management, Technische Universit¨at Dresden, DE-01062 Dresden, Germany
Keywords: Unmanned aerial vehicle, 3D point cloud, LIDAR, thermal infrared camera, near infrared camera, RGB camera, building inspection Abstract. Conventional building inspection of bridges, dams or large constructions in general is rather time consuming and often cost expensive due to traffic closures and the need of special heavy vehicles such as under-bridge inspection units or other large lifting platforms. In consideration that, an unmanned aerial vehicle (UAV) will be more reliable and efficient as well as less expensive and simpler to operate. The utilisation of UAVs as an assisting tool in building inspections is obviously. Furthermore, light-weight special sensors such as infrared and thermal cameras as well as laser scanner are available and predestined for usage on unmanned aircraft systems. Such a flexible low-cost system is realized in the ADFEX project with the goal of time-efficient object exploration, monitoring and damage detection. For this purpose, a fleet of UAVs, equipped with several sensors for navigation, obstacle avoidance and 3D object-data acquisition, has been developed and constructed. This contribution deals with the potential of UAV-based data in building inspection. Therefore, an overview of the ADFEX project, sensor specifications and requirements of building inspections in general are given. On the basis of results achieved in practical studies, the applicability and potential of the UAV system in building inspection will be presented and discussed.
Conference paper (PDF, 6731 KB)


Citation: Mader, D., Blaskow, R., Westfeld, P., and Weller, C.: POTENTIAL OF UAV-BASED LASER SCANNER AND MULTISPECTRAL CAMERA DATA IN BUILDING INSPECTION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 1135-1142, doi:10.5194/isprs-archives-XLI-B1-1135-2016, 2016.

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