Abstract
The traditional oblique photogrammetry relies on GPS receivers and IMU (Inertial Measurement Unit) to obtain the position information of the image and complete the three-dimensional modeling through software post-processing. However, this process imposes a significant burden on the equipment of unmanned systems. Thus, this paper proposes a method to calculate the position information of an unmanned system by combining a monocular vision algorithm based on ORB-SLAM (Oriented FAST and Rotated BRIEF-Simultaneous Localization and Mapping) with an oblique photogrammetry method using Context Capture. This strategy achieves three-dimensional modeling of large scenes by relying only on a monocular camera without requiring a GPS. Compared with traditional methods, our scheme has low hardware requirements and is more convenient and efficient with broad application prospects and development potential in the absence of navigation positioning or emergency case.
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