Multirobot Tethering: Solving the Localization Problem - Brossura

Baillio, Brad

Brossura

ISBN 10: 3659461369 ISBN 13: 9783659461361

Casa editrice: LAP LAMBERT Academic Publishing, 2013

Riassunto

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.

Su questo libro

L'autore

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.

Dettagli dell?edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 3659461369
• ISBN 13: 9783659461361
• Rilegatura: Copertina flessibile
• Numero di pagine: 64
• Contatto del produttore: non disponibile
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