9 citations · 16 across the 10 of their papers we have counts for
4 papers · 1 filter
NavAble: A Large-Scale Dataset and Synthetic Data Generation Pipeline for Blind Navigation
Hochul Hwang, Jahir Sadik Monon, Soowan Yang +9
Reliable recognition of accessibility-critical objects (e.g., audible pedestrian signals, door-activation buttons, and handrails) is essential for assistive navigation technologies…
Synthetic data augmentation for robotic mobility aids to support blind and low vision people
Hochul Hwang, Krisha Adhikari, Satya Shodhaka +1
Robotic mobility aids for blind and low-vision (BLV) individuals rely heavily on deep learning-based vision models specialized for various navigational tasks. However, the performa…
Is it safe to cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing
Hochul Hwang, Sunjae Kwon, Yekyung Kim +1
Safely navigating street intersections is a complex challenge for blind and low-vision individuals, as it requires a nuanced understanding of the surrounding context - a task heavi…
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications
Hochul Hwang, Cheongjae Jang, Geonwoo Park +2
To train deep learning models for vision-based action recognition of elders' daily activities, we need large-scale activity datasets acquired under various daily living environment…