Accurate Pose Estimation for Flight Platforms based on Divergent Multi-Aperture Imaging System
Shunkun Liang, Bin Li, Banglei Guan, Yang Shang, Xianwei Zhu and, Qifeng Yu

TL;DR
This paper introduces a novel divergent multi-aperture imaging system (DMAIS) for flight platforms that combines a large field of view with high spatial resolution, enabling accurate pose estimation through calibration and advanced algorithms.
Contribution
The paper presents a new DMAIS design, a calibration method based on 3D calibration fields, and an improved pose estimation algorithm transforming the problem into a nonlinear minimization task.
Findings
Achieves centimeter-level position accuracy in real flights.
Attains arc-minute-level orientation accuracy.
Demonstrates effectiveness of the calibration and pose estimation methods.
Abstract
Vision-based pose estimation plays a crucial role in the autonomous navigation of flight platforms. However, the field of view and spatial resolution of the camera limit pose estimation accuracy. This paper designs a divergent multi-aperture imaging system (DMAIS), equivalent to a single imaging system to achieve simultaneous observation of a large field of view and high spatial resolution. The DMAIS overcomes traditional observation limitations, allowing accurate pose estimation for the flight platform. {Before conducting pose estimation, the DMAIS must be calibrated. To this end we propose a calibration method for DMAIS based on the 3D calibration field.} The calibration process determines the imaging parameters of the DMAIS, which allows us to model DMAIS as a generalized camera. Subsequently, a new algorithm for accurately determining the pose of flight platform is introduced. We…
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Taxonomy
TopicsRobotics and Sensor-Based Localization · Optical measurement and interference techniques · Advanced Vision and Imaging
