2009 IEEE Congress on Evolutionary Computation 2009
DOI: 10.1109/cec.2009.4983183
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Search methodologies for efficient planetary site selection

Abstract: Abstract-Landing on distant planets is always a challenging task due to the distance and hostile environments found. In the design of autonomous hazard avoidance systems we find the particularly relevant task of landing site selection, that has to operate in real-time as the lander approaches the planet's surface. Seeking to improve the computational complexity of previous approaches to this problem, we propose the use of non-exhaustive search methodologies. A comparative study of several algorithms, such as T… Show more

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Cited by 5 publications
(3 citation statements)
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“…The horizontal position could be either latitude and longitude or the x and y distances (meters or feet) from a predetermined origin. The required elevation accuracy for detailed surveys is between 0.004 and 0.2 m as well as to obtain such accuracy requires performing either an electronic distance meter (theodolite) survey or a totalfield differentially corrected global positioning survey (GPS) (Simões et al, 2009). This method requires two steps, locate each of the existing collection points with (X; Y) coordinate system and find out the (X; Y) coordinate system of the new area by taking the average (X; Y) coordinate of all existing area.…”
Section: Center Of Gravitymentioning
confidence: 99%
“…The horizontal position could be either latitude and longitude or the x and y distances (meters or feet) from a predetermined origin. The required elevation accuracy for detailed surveys is between 0.004 and 0.2 m as well as to obtain such accuracy requires performing either an electronic distance meter (theodolite) survey or a totalfield differentially corrected global positioning survey (GPS) (Simões et al, 2009). This method requires two steps, locate each of the existing collection points with (X; Y) coordinate system and find out the (X; Y) coordinate system of the new area by taking the average (X; Y) coordinate of all existing area.…”
Section: Center Of Gravitymentioning
confidence: 99%
“…For optimal landing site selection, the selection index of the safe landing site was given by Johnson and Simo˜es, but positioning the safe landing site was not reported. 10,14,15 Liu et al 16 adopted genetic algorithm (GA) to identify a safe landing site from the gray images, which is heavily subject to the false detection and missing detection rate; at the same time, several minutes are needed to accomplish image processing and optimization computation. Du et al 17 adopted particle swarm optimization (PSO) to select a safe landing point in the 3D elevation map, which is difficult to apply to engineering practice due to its considerable complexity and large computation burden.…”
Section: Introductionmentioning
confidence: 99%
“…For safe landing site selection, the safe index of the landing site was proposed in literatures Simões et al, 2012;Simoes et al, 2009), but it was not reported on how to locate the safe landing spot. Shao et al (2008) presented a safe landing site selection approach based on computational geometry and genetic algorithm, but obstacles were only treated as discrete circles or ellipses, therefore the suboptimal largest circles appeared sometimes.…”
Section: Introductionmentioning
confidence: 99%