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

Edwige Pissaloux, Yong Chen, Ramiro Velázquez

Year
2010
Citations
5

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.

Keywords

Computer visionArtificial intelligenceComputer scienceInertial navigation systemMatching (statistics)Image (mathematics)Sensor fusionImage fusionInertial measurement unitRobot

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