Celestial Navigation and Positioning Method Based on Super-Large Field of View Star Sensors

Zhang, He; Zhang, Chao; Tong, Shuai; Wang, Ruopu; Li, Chonghui; Tian, Yingguo; He, Donghan; Jiang, Dongfang; Pu, Junyu

doi:10.1007/978-981-99-6928-9_41

Lecture Notes in Electrical Engineering

2023

DOI: 10.1007/978-981-99-6928-9_41

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Celestial Navigation and Positioning Method Based on Super-Large Field of View Star Sensors

He Zhang,

Chao Zhang,

Shuai Tong

et al.

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2024

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Cited by 2 publications

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Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion

Tao,

Perera,

Teague

et al. 2024

Biomimetics

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Many species rely on celestial cues as a reliable guide for maintaining heading while navigating. In this paper, we propose a method that extracts the Milky Way (MW) shape as an orientation cue in low-light scenarios. We also tested the method on both real and synthetic images and demonstrate that the performance of the method appears to be accurate and reliable to motion blur that might be caused by rotational vibration and stabilisation artefacts. The technique presented achieves an angular accuracy between a minimum of 0.00° and a maximum 0.08° for real night sky images, and between a minimum of 0.22° and a maximum 1.61° for synthetic images. The imaging of the MW is largely unaffected by blur. We speculate that the use of the MW as an orientation cue has evolved because, unlike individual stars, it is resilient to motion blur caused by locomotion.

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Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion

Tao,

Perera,

Teague

et al. 2024

Biomimetics

View full text Add to dashboard Cite

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An Algorithm for Affordable Vision-Based GNSS-Denied Strapdown Celestial Navigation

Teague,

Chahl

2024

Drones

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Celestial navigation is rarely seen in modern Uncrewed Aerial vehicles (UAVs). The size and weight of a stabilized imaging system, and the lack of precision, tend to be at odds with the operational requirements of the aircraft. Nonetheless, celestial navigation is one of the few non-emissive modalities that enables global navigation over the ocean at night in Global Navigation Satellite System (GNSS) denied environments. This study demonstrates a modular, low cost, lightweight strapdown celestial navigation solution that is utilized in conjunction with Ardupilot running on a Cube Orange to produce position estimates to within 4 km. By performing an orbit through a full rotation of compass heading and averaging the position output, we demonstrate that the biases present in a strapdown imaging system can be nullified to drastically improve the position estimate. Furthermore, an iterative method is presented which enables the geometric alignment of the camera with the Attitude and Heading Reference System (AHRS) in-flight without an external position input. The algorithm is tested using real flight data captured from a fixed wing aircraft. The results from this study offer promise for the application of low cost celestial navigation as a redundant navigation modality in affordable, lightweight drones.

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Celestial Navigation and Positioning Method Based on Super-Large Field of View Star Sensors

Cited by 2 publications

References 17 publications

Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion

Computer Vision Techniques Demonstrate Robust Orientation Measurement of the Milky Way Despite Image Motion

An Algorithm for Affordable Vision-Based GNSS-Denied Strapdown Celestial Navigation

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