A low-cost aerial platform represents a flexible tool for acquiring high-resolution images for ground areas of interest. The geo-referencing of objects within these images could benefit civil engineers in a variety of research areas including, but not limited to, work zone management, traffic congestion, safety, and environmental impact studies. During the Phase II effort, a Remotely Controlled (R/C) aircraft based remote sensing platform was developed and flight tested at West Virginia University (WVU). Main components of the remote-sensing payload system include a high-resolution digital still camera, a 50 Hz GPS receiver, a low-cost Inertial Navigation System (INS), a down-looking laser range finder, a custom-designed flight data recorder, and a wireless video transmission system. An extensive time-calibration and analysis effort for major measurement instruments was performed to assure that flight data were properly time-aligned. Additionally, an Unscented Kalman Filter (UKF) based 15-state GPS/INS sensor fusion algorithm was developed to estimate the aircraft attitude angles in flight. Based on the added range and orientation information for the camera, the geo-referencing software developed in Phase I effort was enhanced. The performance of the software was evaluated using a set of flight data and the known location of a fixed reference point on the ground. The flight data analysis shows an approximately 7.2 meter mean position estimation error was achieved with estimates from a single aerial image, after a set of lens distortion and the camera orientation corrections. Furthermore, a 0.5 meter position estimation error was achieved with the averaging of 15 individual estimates.
Evaluation of Remote Sensing Aerial Systems in Existing Transportation Practices, Phase II
2011
31 pages
Report
Keine Angabe
Englisch
Natural Resource Surveys , Transportation & Traffic Planning , Transportation , Civil Engineering , Remote sensing , Aerial photography , Transportation planning , Algorithms , Aircraft , Cameras , Civil enginering , Data acquisition , Detection , Environmental impact , Flight testing , Global positioning systems , Highways , Images , Traffic congestion , Traffic safety , Work zones , Remotely controlled(R/C) aircraft
Remote Sensing, Geographic Information Systems, and Transportation Analysis
British Library Conference Proceedings | 1995
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