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Particle filtering has proven to be an effective localization method for wheeled autonomous vehicles. For a given map, a sensor model, and observations, occasions arise where the vehicle could equally likely be in many locations of the map. Because particle filtering algorithms may generate low confidence pose estimates under these conditions, more robust localization strategies are required to produce reliable pose estimates. In order to eliminate the low confidence estimates produced in certain environments, a multirobot system is designed to introduce mobile environment features. Tracking and controlling a secondary robot introduces a known feature in the environment which can ensure a high confidence estimate. From this knowledge, an autonomous robot can confidently navigate in even the most difficult (featureless) environments.
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Particle filtering has proven to be an effective localization method for wheeled autonomous vehicles. For a given map, a sensor model, and observations, occasions arise where the vehicle could equally likely be in many locations of the map. Because particle filtering algorithms may generate low confidence pose estimates under these conditions, more robust localization strategies are required to produce reliable pose estimates. In order to eliminate the low confidence estimates produced in certain environments, a multirobot system is designed to introduce mobile environment features. Tracking and controlling a secondary robot introduces a known feature in the environment which can ensure a high confidence estimate. From this knowledge, an autonomous robot can confidently navigate in even the most difficult (featureless) environments.
Biografía del autor
He grew up in San Antonio, Texas. He currently resides in Utah with his talented wife and three terrific children. He works as a Robotics Engineer with a focus on Perception Products that can make an impact in Vehicle Automation.
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Multirobot Tethering
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Baillio BradHe grew up in San Antonio, Texas. He currently resides in Utah with his talented wife and three terrific children. He works as a Robotics Engineer with a focus on Perception Products that can make an impact in Vehicle . Bestandsnummer des Verkäufers 5157511
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Multirobot Tethering
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LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
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Taschenbuch. Zustand: Neu. Neuware -Particle filtering has proven to be an effective localization method for wheeled autonomous vehicles. For a given map, a sensor model, and observations, occasions arise where the vehicle could equally likely be in many locations of the map. Because particle filtering algorithms may generate low confidence pose estimates under these conditions, more robust localization strategies are required to produce reliable pose estimates. In order to eliminate the low confidence estimates produced in certain environments, a multirobot system is designed to introduce mobile environment features. Tracking and controlling a secondary robot introduces a known feature in the environment which can ensure a high confidence estimate. From this knowledge, an autonomous robot can confidently navigate in even the most difficult (featureless) environments.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Bestandsnummer des Verkäufers 9783659461361
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Multirobot Tethering
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LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Particle filtering has proven to be an effective localization method for wheeled autonomous vehicles. For a given map, a sensor model, and observations, occasions arise where the vehicle could equally likely be in many locations of the map. Because particle filtering algorithms may generate low confidence pose estimates under these conditions, more robust localization strategies are required to produce reliable pose estimates. In order to eliminate the low confidence estimates produced in certain environments, a multirobot system is designed to introduce mobile environment features. Tracking and controlling a secondary robot introduces a known feature in the environment which can ensure a high confidence estimate. From this knowledge, an autonomous robot can confidently navigate in even the most difficult (featureless) environments. 64 pp. Englisch. Bestandsnummer des Verkäufers 9783659461361
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Multirobot Tethering : Solving the Localization Problem
Verlag:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Particle filtering has proven to be an effective localization method for wheeled autonomous vehicles. For a given map, a sensor model, and observations, occasions arise where the vehicle could equally likely be in many locations of the map. Because particle filtering algorithms may generate low confidence pose estimates under these conditions, more robust localization strategies are required to produce reliable pose estimates. In order to eliminate the low confidence estimates produced in certain environments, a multirobot system is designed to introduce mobile environment features. Tracking and controlling a secondary robot introduces a known feature in the environment which can ensure a high confidence estimate. From this knowledge, an autonomous robot can confidently navigate in even the most difficult (featureless) environments. Bestandsnummer des Verkäufers 9783659461361
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Multirobot Tethering: Solving The Localization Problem
Verlag:
Lap Lambert Academic Publishing, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
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Paperback. Zustand: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Bestandsnummer des Verkäufers __3659461369
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Multirobot Tethering: Solving The Localization Problem
Verlag:
Lap Lambert Academic Publishing, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
Neu
Paperback
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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Paperback. Zustand: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Bestandsnummer des Verkäufers 3659461369
Anzahl: 1 verfügbar