Paper
13 May 2016 Application and capabilities of lidar from small UAV
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Abstract
The purpose of this study is to present and evaluate the benefit and capabilities of high resolution 3D data from unmanned aircraft, especially in conditions where existing methods (passive imaging, 3D photogrammetry) have limited capability. Examples of applications are detection of obscured objects under vegetation, change detection, detection in dark or shadowed environments, and an immediate geometric documentation of an area of interest. Applications are exemplified with experimental data from our small UAV test platform 3DUAV with an integrated rotating laser scanner, and with ground truth data collected with a terrestrial laser scanner. We process lidar data combined with inertial navigation system (INS) data for generation of a highly accurate point cloud. The combination of INS and lidar data is achieved in a dynamic calibration process that compensates for the navigation errors from the lowcost and light-weight MEMS based (microelectromechanical systems) INS. This system allows for studies of the whole data collection-processing-application chain and also serves as a platform for further development. We evaluate the applications in relation to system aspects such as survey time, resolution and target detection capabilities. Our results indicate that several target detection/classification scenarios are feasible within reasonable survey times from a few minutes (cars, persons and larger objects) to about 30 minutes for detection and possibly recognition of smaller targets.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Tulldahl, Håkan Larsson, Gustav Tolt, Fredrik Bissmarck, Christina Grönwall, and Jonas Nordlöf "Application and capabilities of lidar from small UAV", Proc. SPIE 9832, Laser Radar Technology and Applications XXI, 98320V (13 May 2016); https://doi.org/10.1117/12.2224258
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CITATIONS
Cited by 3 scholarly publications and 1 patent.
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KEYWORDS
LIDAR

Target detection

Unmanned aerial vehicles

Target recognition

Roads

Clouds

3D image processing

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