Personal tools

ICARSC'2017 - Eurico Pedrosa (1)


Jump to: navigation, search

Date 2017/04/26
Title Efficient Localization based on Scan Matching with a Continuous Likelihood Field
Speaker Eurico Pedrosa
Event ICARSC'2017
Location Coimbra
Country Portugal

Abstract: This paper presents a fast scan matching approach to mobile robot localization supported by a continuous likelihood field. The likelihood field plays a central role in the approach, as it avoids the necessity to establish direct correspondences; it is the connection link between scan matching and robotic localization, and it provides a reduced computational complexity. Scan matching is formulated as a non-linear least squares problem and solved by the Gauss-Newton and Levenberg-Marquardt methods. Furthermore, to reduce the influences of outliers during optimization, a loss function is introduced. The proposed solution was evaluated using a publicly available dataset and compared with AMCL, a state-of-the-art localization algorithm. Our proposal shows to be a fast and accurate localization algorithm suitable for any type of operation