ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-1, 201-208, 2016
https://doi.org/10.5194/isprs-annals-III-1-201-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
02 Jun 2016
UAS TOPOGRAPHIC MAPPING WITH VELODYNE LiDAR SENSOR
G. Jozkow1,2, C. Toth1, and D. Grejner-Brzezinska1 1Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, 470 Hitchcock Hall, 2070 Neil Ave., Columbus, OH 43210, USA
2Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Sciences, Grunwaldzka 53, 50-357 Wroclaw, Poland
Keywords: UAS, UAV, LiDAR, mapping, performance analysis Abstract. Unmanned Aerial System (UAS) technology is nowadays willingly used in small area topographic mapping due to low costs and good quality of derived products. Since cameras typically used with UAS have some limitations, e.g. cannot penetrate the vegetation, LiDAR sensors are increasingly getting attention in UAS mapping. Sensor developments reached the point when their costs and size suit the UAS platform, though, LiDAR UAS is still an emerging technology. One issue related to using LiDAR sensors on UAS is the limited performance of the navigation sensors used on UAS platforms. Therefore, various hardware and software solutions are investigated to increase the quality of UAS LiDAR point clouds. This work analyses several aspects of the UAS LiDAR point cloud generation performance based on UAS flights conducted with the Velodyne laser scanner and cameras. The attention was primarily paid to the trajectory reconstruction performance that is essential for accurate point cloud georeferencing. Since the navigation sensors, especially Inertial Measurement Units (IMUs), may not be of sufficient performance, the estimated camera poses could allow to increase the robustness of the estimated trajectory, and subsequently, the accuracy of the point cloud. The accuracy of the final UAS LiDAR point cloud was evaluated on the basis of the generated DSM, including comparison with point clouds obtained from dense image matching. The results showed the need for more investigation on MEMS IMU sensors used for UAS trajectory reconstruction. The accuracy of the UAS LiDAR point cloud, though lower than for point cloud obtained from images, may be still sufficient for certain mapping applications where the optical imagery is not useful.
Conference paper (PDF, 1657 KB)


Citation: Jozkow, G., Toth, C., and Grejner-Brzezinska, D.: UAS TOPOGRAPHIC MAPPING WITH VELODYNE LiDAR SENSOR, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-1, 201-208, https://doi.org/10.5194/isprs-annals-III-1-201-2016, 2016.

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