5 papers
Deep Learning-Powered Visual SLAM Aimed at Assisting Visually Impaired Navigation
Marziyeh Bamdad, Hans-Peter Hutter, Alireza Darvishy
Despite advancements in SLAM technologies, robust operation under challenging conditions such as low-texture, motion-blur, or challenging lighting remains an open challenge. Such c…
Towards More Accessible Scientific PDFs for People with Visual Impairments: Step-by-Step PDF Remediation to Improve Tag Accuracy
Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter +1
PDF inaccessibility is an ongoing challenge that hinders individuals with visual impairments from reading and navigating PDFs using screen readers. This paper presents a step-by-st…
InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation
Marziyeh Bamdad, Hans-Peter Hutter, Alireza Darvishy
Simultaneous localization and mapping (SLAM) techniques can be used to navigate the visually impaired, but the development of robust SLAM solutions for crowded spaces is limited by…
SLAM for Visually Impaired People: a Survey
Marziyeh Bamdad, Davide Scaramuzza, Alireza Darvishy
In recent decades, several assistive technologies have been developed to improve the ability of blind and visually impaired (BVI) individuals to navigate independently and safely.…
MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition
Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter +2
Printed mathematical expression recognition (MER) models are usually trained and tested using LaTeX-generated mathematical expressions (MEs) as input and the LaTeX source code as g…