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

EDWIGE PISSALOUXYONG CHENVelázquez, RamiroRamiroVelázquez2023-07-132023-07-132010https://scripta.up.edu.mx/handle/20.500.12552/369910.1142/S0219467810003913 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. IMAGE MATCHING OPTIMIZATION VIA VISION AND INERTIAL DATA FUSION: APPLICATION TO NAVIGATION OF THE VISUALLY IMPAIREDResource Types::text::journal::journal article