Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € DHL 6.99 € GLS 5.99 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Multirobot Tethering

Name: Multirobot Tethering
Brand: LAP Lambert Academic Publishing
SKU: 02201769
Price: 27.09 EUR
Availability: InStock
Author: Brad Baillio
ISBN: 9783659461361

Solving the Localization Problem

Brad Baillio

Lingua

Inglese

Libro In brossura

Codice Libristo: 02201769

Casa editrice LAP Lambert Academic Publishing, ottobre 2013

Particle filtering has proven to be an effective localization method for wheeled autonomous vehicles... Descrizione completa

Codice Libristo: 02201769

66 b

27.09 €

Magazzino esterno Inviamo tra 5-8 giorni

30 giorni per il reso

I clienti hanno acquistato anche

50 let videoher: Rozšířené vydání Libro

Rigido

40.89 €

San Justino. Intelectual cristiano en Roma Rivas Rebaque

In brossura

39.29 €

Fidel och jag i storstan Lena Frölander-Ulf

Rigido

53.39 €

Hafenabgaben Und Schiffsvermessung Heinrich Herner

In brossura

27.99 €

Die Letzten Jahre Des Nikolaus Von Kues Erich Meuthen

In brossura

55.29 €

'Cool Japan' und der 'J-Boom' Ismail Durgut

In brossura

44.79 €

Kysset Og Dets Historie (1897) Kristoffer Nyrop

In brossura

20.79 €

Transmettre Une Fidelite Bruno Dumons

In brossura

42.19 €

Colón y el valor de la tenacidad Luis Granados Sanguinetti

In brossura

16.79 €

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.