2020
DOI: 10.1007/s00138-020-01129-7
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Rapid self-localization of robot based on omnidirectional vision technology

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Cited by 3 publications
(1 citation statement)
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“…In our work, features are converted to image file which is used by algorithm to confirm location of robot in the environment by matching it with generated sample of map. Although, rapid localization systems or probabilistic approach based on Bayes Filter (Chia et al, 2020;Maniscalco et al, 2017) are accurate but computationally expensive, where conversion of the entire field into the geometrical coordinates demands more computational power for running the algorithm. By using defined tracks, our proposed algorithm involves less computation procedures with satisfactory results.…”
Section: Resultsmentioning
confidence: 99%
“…In our work, features are converted to image file which is used by algorithm to confirm location of robot in the environment by matching it with generated sample of map. Although, rapid localization systems or probabilistic approach based on Bayes Filter (Chia et al, 2020;Maniscalco et al, 2017) are accurate but computationally expensive, where conversion of the entire field into the geometrical coordinates demands more computational power for running the algorithm. By using defined tracks, our proposed algorithm involves less computation procedures with satisfactory results.…”
Section: Resultsmentioning
confidence: 99%