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Improved Uav-borne 3 D Mapping by Fusing Optical and Laserscanner Data
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jutzi, Boris Weinmann, Martin Meidow, Jochen |
| Copyright Year | 2013 |
| Abstract | In this paper, a new method for fusing optical and laserscanner data is presented for improved UAV-bor ne 3D mapping. We propose to equip an unmanned aerial vehicle (UAV) with a sm all platform which includes two sensors: a standard low-cost digital camera and a lightweight Hokuyo UTM-30LX-EW laserscanning device (210 g without cable). Initially, a calibrat ion is carried out for the utilized devices. This involves a geometric camera calibration and the estimation of the position and orientation offset between the two sensors by lever-arm and bore-sight calibration . Subsequently, a feature tracking is performed thr ough the image sequence by considering extracted interest points as well as th e projected 3D laser points. These 2D results are f us d with the measured laser distances and fed into a bundle adjustment in order to obtain a Simultaneous Localization and Mapping (SLAM). It is demonstrated that an improvement in terms of precision for the p ose estimation is derived by fusing optical and las erscanner data. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://akme-a2.iosb.fraunhofer.de/EatThisGoogleScholar/d/2013_Improved%20UAV-borne%203D%20mapping%20by%20fusing%20optical%20and%20laserscanner%20data.pdf |
| Alternate Webpage(s) | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W2/223/2013/isprsarchives-XL-1-W2-223-2013.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Aerial photography Bundle adjustment Calibration Camera resectioning Digital camera Distance Enea OSE Extraction Iontophoresis Motion estimation Projections and Predictions Reflow soldering Simultaneous localization and mapping Threonine Unmanned aerial vehicle sensor (device) |
| Content Type | Text |
| Resource Type | Article |