计算机视觉
姿势
人工智能
计算机科学
软件可移植性
航程(航空)
单目视觉
三维姿态估计
工程类
航空航天工程
程序设计语言
作者
Zhuo Zhang,Qiufu Wang,Daoming Bi,Xiaoliang Sun,Qifeng Yu
标识
DOI:10.1016/j.cja.2023.01.006
摘要
Due to the portability and anti-interference ability, vision-based shipborne aircraft automatic landing systems have attracted the attention of researchers. In this paper, a Monocular Camera and Laser Range Finder (MC-LRF)-based pose measurement system is designed for shipborne aircraft automatic landing. First, the system represents the target ship using a set of sparse landmarks, and a two-stage model is adopted to detect landmarks on the target ship. The rough 6D pose is measured by solving a Perspective-n-Point problem. Then, once the rough pose is measured, a region-based pose refinement is used to continuously track the 6D pose in the subsequent image sequences. To address the low accuracy of monocular pose measurement in the depth direction, the designed system adopts a laser range finder to obtain an accurate range value. The measured rough pose is iteratively optimized using the accurate range measurement. Experimental results on synthetic and real images show that the system achieves robust and precise pose measurement of the target ship during automatic landing. The measurement means error is within 0.4° in rotation, and 0.2% in translation, meeting the requirements for automatic fixed-wing aircraft landing. Received 5 July 2022; revised 19 August 2022; accepted 27 September 2022.
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