AIAA Guidance, Navigation, and Control Conference 2015
DOI: 10.2514/6.2015-0853
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APLNav: Development Status of an Onboard Passive Optical Terrain Relative Navigation System

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Cited by 15 publications
(6 citation statements)
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“…Precision landing within <25-m accuracy is well within current lander technology, such as with optical terrain relative navigation (e.g., Criss et al, 2010;McGee et al, 2015). Our slope map, derived from an LROC DEM, shows a~500 × 200-m zone around the summit with slopes under 10°amenable to such a landing.…”
Section: Journal Of Geophysical Research: Planetssupporting
confidence: 73%
“…Precision landing within <25-m accuracy is well within current lander technology, such as with optical terrain relative navigation (e.g., Criss et al, 2010;McGee et al, 2015). Our slope map, derived from an LROC DEM, shows a~500 × 200-m zone around the summit with slopes under 10°amenable to such a landing.…”
Section: Journal Of Geophysical Research: Planetssupporting
confidence: 73%
“…I 2 is the unit matrix with the dimension 2 × 2. Further, the observation of landmark-i can be expressed as Equation (22).…”
Section: 计理论mentioning
confidence: 99%
“…Among the three means, the method based on the landmark, i.e., the second method, has been widely used in many fields such as autonomous landing and satellite orbit determination because of its advantages of bounded navigation parameter error and more simple calculation [20]. For instance, NASA obtained the attitude estimation of the lander by matching landmarks taken by the camera with the reference landmarks in the ALHAT program [21,22]. Xu et al extracted the known landmarks and the unknown landmarks from images taken by the lander to establish the measurement equation, through which the INS output deviation could be corrected and the high-accuracy estimation of the position and the attitude could be given [23].…”
Section: Introductionmentioning
confidence: 99%
“…A representative method of TRN is optical navigation using extracted terrain features from images captured by a navigation camera. [1][2][3][4][5][6] Craters distributed throughout the lunar surface are salient features, and their locations and sizes are observable in scientific data collected by lunar orbiters. Crater maps can be generated in advance from the data, and the position of the lander can be estimated by collating the crater maps with processing results of images captured during the powered descent phase.…”
Section: Introductionmentioning
confidence: 99%