Hostname: page-component-76fb5796d-qxdb6 Total loading time: 0 Render date: 2024-04-25T10:28:30.867Z Has data issue: false hasContentIssue false

GPS latency identification by Kalman filtering

Published online by Cambridge University Press:  18 April 2001

Denis Bouvet
Affiliation:
Institut de Recherche en Cybernétique de Nantes (IRCyN), 1 rue de la Noë, BP 92101, 44321 Nantes Cedex 3 (FRANCE)Gaetan.Garcia@ircyn.ec-nantes.fr
Gaëtan Garcia
Affiliation:
Institut de Recherche en Cybernétique de Nantes (IRCyN), 1 rue de la Noë, BP 92101, 44321 Nantes Cedex 3 (FRANCE)

Abstract

For outdoor mobile robots localisation, GPS has obvious advantages: position data are directly given in an absolute frame, and the required infrastructure is reduced to a sole fixed station in the case of differential systems. Yet, the use of this solution raises a number of issues, such as the satellite maskings, or the existence of the so-called GPS latency which delays the output of the localisation data. This paper deals with the latter problem, and proposes a method to identify this parameter without using other exteroceptive sensors. Experimental results are presented based on trials carried out at the Centre d'Expérimentations Routières (CER) in Rouen, in collaboration with the Laboratoire Central des Ponts et Chaussées (LCPC).

Type
Research Article
Copyright
© 2000 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)