By Topic

Simultaneous localization and mapping (SLAM): part II

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
T. Bailey ; Australian Centre for Field Robotics, Sydney Univ., NSW, Australia ; H. Durrant-Whyte

This paper discusses the recursive Bayesian formulation of the simultaneous localization and mapping (SLAM) problem in which probability distributions or estimates of absolute or relative locations of landmarks and vehicle pose are obtained. The paper focuses on three key areas: computational complexity; data association; and environment representation

Published in:

IEEE Robotics & Automation Magazine  (Volume:13 ,  Issue: 3 )