Calibration and Stability Analysis for a Multi-Camera System Onboard a High-Vibration Platform

Mohammed D. Aldosari

Mohammed D. Aldosari Purdue University
Euimyoung Kim Namseoul University
Ayman Habib Purdue University

15F

The growing use of digital cameras in close-range photogrammetry applications coupled with the widespread adoption of Mobile Mapping Systems (MMS) such as wheel based-mapping systems  have been tremendously increased to perform 3D-reconstruction both for indoor and outdoor applications in construction transportations and agricultures management, for example. Lenses of long principal distance are required in such cases, where the desired object is several meters away from the exposure station and to maintain a high resolution. One should note that there are different research efforts have been exerted towards the investigation of cameras with narrow Field of View (FOV), though an accurate and efficient calibration method is still lacking for certain applications which required a long principal distance. Thus, camera calibration procedure is becoming challengeable task especially when narrow FOV is being utilized on a mapping sensor. To be more specific, such sensor is divided into small array size with 2448 x 2048. Another challengeable task, the system is subjected to a severe vibration due to the nature movement of the mapping platform.  The purpose of this study is to estimate the internal characteristics and the mounting parameters of multiple cameras system mounted on wheel based-mapping systems without using any additional devices such as robotic to recover any one of the parameters and to analyze the camera stability between two distinct time periods. It is worth noting that efficient techniques are introduced for their semi-automated detection and localization as well as identification of the signalized targets. Then, a modification of the collinearity model is used for the calibration of an entire photogrammetric system and three methods for system stability analysis is conducted. The impact of the three methods on the quality of derived Interior Orientation Parameters (IOPs) and relative orientation/mounting parameters are quantified using similarity measures, which evaluate the degree of similarity of the reconstructed bundles from these (IOPs). Rather than relying on ground truth in real datasets to check the system calibration stability, the three methods are simulation-based. Furthermore, experiment results are explained, where a multi-camera photogrammetric system was calibrated four times, and stability analysis was performed on the system calibration parameters from the four sessions. The proposed simulation-based methods provided results that were compatible with a real-data based approach for evaluating the impact of changes in the system calibration parameters on the three-dimensional reconstruction.

Photogrammetric Applications Division

15:30 Calibration and Stability Analysis for a Multi-Camera System Onboard a High-Vibration Platform, Mohammed D. Aldosari

January 29 @ 15:30
15:30 — 15:45 (15′)

Granite ABC

Mohammed D. Aldosari

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