IMAGE MATCHING OPTIMIZATION VIA VISION AND INERTIAL DATA FUSION: APPLICATION TO NAVIGATION OF THE VISUALLY IMPAIRED

EDWIGE PISSALOUX; YONG CHEN; Velázquez, Ramiro

doi:10.1142/S0219467810003913

IMAGE MATCHING OPTIMIZATION VIA VISION AND INERTIAL DATA FUSION: APPLICATION TO NAVIGATION OF THE VISUALLY IMPAIRED

Journal

International Journal of Image and Graphics

ISSN

0219-4678

1793-6756

Date Issued

2010

Author(s)

EDWIGE PISSALOUX

YONG CHEN

Velázquez, Ramiro

Facultad de Ingeniería - CampAGS

Type

text::journal::journal article

DOI

10.1142/S0219467810003913

URL

https://scripta.up.edu.mx/handle/20.500.12552/3699

Abstract

Autonomous navigation by humans or robots is usually based on stereo image matching. However, classic image matching methods are not suitable for wearable real-time navigation systems. This paper proposes a new image-matching algorithm which fuses information from both images and inertial data. A preliminary evaluation of the algorithm shows that it is effective for indoor navigation.