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Synopsis
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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About the Author
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 Sep 2013, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783659461361
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Multirobot Tethering
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
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Softcover
Seller: moluna, Greven, Germany
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Condition: 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 . Seller Inventory # 5157511
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Multirobot Tethering
Published by
LAP LAMBERT Academic Publishing Sep 2013, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783659461361
Quantity: 2 available
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Multirobot Tethering : Solving the Localization Problem
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
New
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783659461361
Quantity: 1 available
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Multirobot Tethering: Solving The Localization Problem
Published by
Lap Lambert Academic Publishing, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
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Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Seller Inventory # __3659461369
Quantity: 1 available
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Multirobot Tethering: Solving The Localization Problem
Published by
Lap Lambert Academic Publishing, 2013
ISBN 10: 3659461369
ISBN 13: 9783659461361
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Seller Inventory # 3659461369
Quantity: 1 available