Matches in SemOpenAlex for { <https://semopenalex.org/work/W3041796216> ?p ?o ?g. }
- W3041796216 endingPage "11274" @default.
- W3041796216 startingPage "11262" @default.
- W3041796216 abstract "The optimized communication within robotic swarm, or group (RG) in a tightly obstacled ambient is crucial point to optimize group navigation for efficient sector trespass and monitoring. In the present work the main set of problems for multi-objective optimization in a non-stationary environment is described. It is presented the algorithm of data transfer from 3D optical sensor, based on the principle of dynamic triangulation. It uses the distributed scalable big data storage and artificial intelligence in automated 3D metrology. Two different simulations in order to optimize the fused data base for better path planning aiming the improvement of electric wheeled mobile robots group navigation in unknown cluttered terrain is presented. The optical laser scanning sensor combined with Intelligent Data Management permits more efficient dead-reckoning of the RG." @default.
- W3041796216 created "2020-07-16" @default.
- W3041796216 creator A5014985662 @default.
- W3041796216 creator A5068472249 @default.
- W3041796216 date "2021-05-15" @default.
- W3041796216 modified "2023-10-16" @default.
- W3041796216 title "3D Optical Machine Vision Sensors With Intelligent Data Management for Robotic Swarm Navigation Improvement" @default.
- W3041796216 cites W1971874375 @default.
- W3041796216 cites W1978614948 @default.
- W3041796216 cites W2000146415 @default.
- W3041796216 cites W2007311228 @default.
- W3041796216 cites W2007692097 @default.
- W3041796216 cites W2027937759 @default.
- W3041796216 cites W2035624075 @default.
- W3041796216 cites W2036479540 @default.
- W3041796216 cites W2057479631 @default.
- W3041796216 cites W2071637486 @default.
- W3041796216 cites W2086938826 @default.
- W3041796216 cites W2087070363 @default.
- W3041796216 cites W2090647837 @default.
- W3041796216 cites W2096649264 @default.
- W3041796216 cites W2115048712 @default.
- W3041796216 cites W2125623211 @default.
- W3041796216 cites W2145522602 @default.
- W3041796216 cites W2152232085 @default.
- W3041796216 cites W2162670077 @default.
- W3041796216 cites W2321102046 @default.
- W3041796216 cites W2341852456 @default.
- W3041796216 cites W2346969910 @default.
- W3041796216 cites W2386554581 @default.
- W3041796216 cites W2492759156 @default.
- W3041796216 cites W2531006080 @default.
- W3041796216 cites W2543394671 @default.
- W3041796216 cites W2586646466 @default.
- W3041796216 cites W2591921345 @default.
- W3041796216 cites W2611160474 @default.
- W3041796216 cites W2895206136 @default.
- W3041796216 cites W2896164727 @default.
- W3041796216 cites W2897976510 @default.
- W3041796216 cites W2898012718 @default.
- W3041796216 cites W2898371712 @default.
- W3041796216 cites W2898597089 @default.
- W3041796216 cites W2899528627 @default.
- W3041796216 cites W2899810294 @default.
- W3041796216 cites W2903284225 @default.
- W3041796216 cites W2906366406 @default.
- W3041796216 cites W2911487202 @default.
- W3041796216 cites W2914926182 @default.
- W3041796216 cites W2919555138 @default.
- W3041796216 cites W2927905861 @default.
- W3041796216 cites W2944989411 @default.
- W3041796216 cites W2954595019 @default.
- W3041796216 cites W2967875070 @default.
- W3041796216 cites W2978840046 @default.
- W3041796216 cites W2998786991 @default.
- W3041796216 cites W2999246612 @default.
- W3041796216 cites W3013773102 @default.
- W3041796216 cites W3021315177 @default.
- W3041796216 cites W3113851982 @default.
- W3041796216 cites W4249259447 @default.
- W3041796216 doi "https://doi.org/10.1109/jsen.2020.3007856" @default.
- W3041796216 hasPublicationYear "2021" @default.
- W3041796216 type Work @default.
- W3041796216 sameAs 3041796216 @default.
- W3041796216 citedByCount "46" @default.
- W3041796216 countsByYear W30417962162021 @default.
- W3041796216 countsByYear W30417962162022 @default.
- W3041796216 countsByYear W30417962162023 @default.
- W3041796216 crossrefType "journal-article" @default.
- W3041796216 hasAuthorship W3041796216A5014985662 @default.
- W3041796216 hasAuthorship W3041796216A5068472249 @default.
- W3041796216 hasConcept C106165642 @default.
- W3041796216 hasConcept C127413603 @default.
- W3041796216 hasConcept C131979681 @default.
- W3041796216 hasConcept C154945302 @default.
- W3041796216 hasConcept C181335050 @default.
- W3041796216 hasConcept C19966478 @default.
- W3041796216 hasConcept C31972630 @default.
- W3041796216 hasConcept C41008148 @default.
- W3041796216 hasConcept C60229501 @default.
- W3041796216 hasConcept C76155785 @default.
- W3041796216 hasConcept C79403827 @default.
- W3041796216 hasConcept C81074085 @default.
- W3041796216 hasConcept C90509273 @default.
- W3041796216 hasConcept C93717769 @default.
- W3041796216 hasConceptScore W3041796216C106165642 @default.
- W3041796216 hasConceptScore W3041796216C127413603 @default.
- W3041796216 hasConceptScore W3041796216C131979681 @default.
- W3041796216 hasConceptScore W3041796216C154945302 @default.
- W3041796216 hasConceptScore W3041796216C181335050 @default.
- W3041796216 hasConceptScore W3041796216C19966478 @default.
- W3041796216 hasConceptScore W3041796216C31972630 @default.
- W3041796216 hasConceptScore W3041796216C41008148 @default.
- W3041796216 hasConceptScore W3041796216C60229501 @default.
- W3041796216 hasConceptScore W3041796216C76155785 @default.
- W3041796216 hasConceptScore W3041796216C79403827 @default.
- W3041796216 hasConceptScore W3041796216C81074085 @default.
- W3041796216 hasConceptScore W3041796216C90509273 @default.