A new autonomous celestial navigation method for the lunar rover

Ning, Xiaolin; Fang, Jiancheng

doi:10.1016/j.robot.2008.02.006

Cited by 33 publications

(22 citation statements)

References 19 publications

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“…The gravity vector would be measured by an inclinometer, and the celestial reference frame would be determined by a star tracker. On the Moon, an accuracy of hundreds of meters with a single measurement is reported as possible here [99], and 60 m with careful filtering of multiple measurements here [100]. Field trials of a star tracker and inclinometer localization system on Earth [101] demonstrate accuracy of better than 800 m.…”

Section: Celestial Localizationmentioning

confidence: 92%

Surface Navigation

Iles

Winter

Silva

et al. 2016

Contemporary Planetary Robotics

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Section: Celestial Localizationmentioning

confidence: 92%

Surface Navigation

Iles

Winter

Silva

et al. 2016

Contemporary Planetary Robotics

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“…Future deep-space exploration is expected to rely more and more on autonomous spacecraft [ 1 , 2 , 3 , 4 ]. Indeed, traditional ground-based radio navigation poses limitations in terms of data transmission latency, channel availability, and robustness to communication failures.…”

Section: Introductionmentioning

confidence: 99%

A Robust RANSAC-Based Planet Radius Estimation for Onboard Visual Based Navigation

Gioia

Meoni

Giuffrida

et al. 2020

Sensors

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Individual spacecraft manual navigation by human operators from ground station is expected to be an emerging problem as the number of spacecraft for space exploration increases. Hence, as an attempt to reduce the burden to control multiple spacecraft, future missions will employ smart spacecraft able to navigate and operate autonomously. Recently, image-based optical navigation systems have proved to be promising solutions for inexpensive autonomous navigation. In this paper, we propose a robust image processing pipeline for estimating the center and radius of planets and moons in an image taken by an on-board camera. Our custom image pre-processing pipeline is tailored for resource-constrained applications, as it features a computationally simple processing flow with a limited memory footprint. The core of the proposed pipeline is a best-fitting model based on the RANSAC algorithm that is able to handle images corrupted with Gaussian noise, image distortions, and frame drops. We report processing time, pixel-level error of estimated body center and radius and the effect of noise on estimated body parameters for a dataset of synthetic images.

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“…In addition, part of the landing patrol robot also has the function of autonomous navigation and control [2,3]. The autonomous navigation method has become an effective supplementary method of ground measure [4]. There are many limitations in ground radio navigation such as real-time performance, operation cost and satellite resources, etc.…”

Section: Introductionmentioning

confidence: 99%

A Novel Autonomous Celestial Integrated Navigation for Deep Space Exploration Based on Angle and Stellar Spectra Shift Velocity Measurement

Chen

Sun

Wei

et al. 2019

Sensors

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Traditional autonomous celestial navigation usually uses astronomical angle as measurement, which is a function of spacecraft’s position and can’t resolve the spacecraft’s velocity directly. To solve this problem, velocity measurement by stellar spectra shift is proposed in this paper. The autonomous celestial integrated navigation method is derived by combining velocity measurement with angle measurement, which can ensure the long-term high accuracy, real-time and continuous navigation performance for deep space exploration (DSE) missions. The observability of the integrated navigation system is analyzed. Moreover, the design of doppler navigator and hardware in-the-loop simulation system are described. Finally, a simulation example is employed to demonstration the feasibility and effectiveness of the proposed navigation algorithm.

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A new autonomous celestial navigation method for the lunar rover

Cited by 33 publications

References 19 publications

Surface Navigation

Surface Navigation

A Robust RANSAC-Based Planet Radius Estimation for Onboard Visual Based Navigation

A Novel Autonomous Celestial Integrated Navigation for Deep Space Exploration Based on Angle and Stellar Spectra Shift Velocity Measurement

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