9 citations · 16 across the 10 of their papers we have counts for
11 papers
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…
GuideTWSI: A Diverse Tactile Walking Surface Indicator Dataset from Synthetic and Real-World Images for Blind and Low-Vision Navigation
Hochul Hwang, Soowan Yang, Anh N. H. Nguyen +6
Tactile Walking Surface Indicators (TWSIs) are safety-critical landmarks that blind and low-vision (BLV) pedestrians use to locate crossings and hazard zones. From our observation…
GuideNav: User-Informed Development of a Vision-Only Robotic Navigation Assistant For Blind Travelers
Hochul Hwang, Soowan Yang, Jahir Sadik Monon +4
While commendable progress has been made in user-centric research on mobile assistive systems for blind and low-vision (BLV) individuals, references that directly inform robot navi…
Human-Centered Development of Guide Dog Robots: Quiet and Stable Locomotion Control
Shangqun Yu, Hochul Hwang, Trung M. Dang +4
A quadruped robot is a promising system that can offer assistance comparable to that of dog guides due to its similar form factor. However, various challenges remain in making thes…
Lessons Learned from Developing a Human-Centered Guide Dog Robot for Mobility Assistance
Hochul Hwang, Ken Suzuki, Nicholas A Giudice +3
While guide dogs offer essential mobility assistance, their high cost, limited availability, and care requirements make them inaccessible to most blind or low vision (BLV) individu…
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…
Towards Robotic Companions: Understanding Handler-Guide Dog Interactions for Informed Guide Dog Robot Design
Hochul Hwang, Hee-Tae Jung, Nicholas A Giudice +3
Dog guides are favored by blind and low-vision (BLV) individuals for their ability to enhance independence and confidence by reducing safety concerns and increasing navigation effi…
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…
System Configuration and Navigation of a Guide Dog Robot: Toward Animal Guide Dog-Level Guiding Work
Hochul Hwang, Tim Xia, Ibrahima Keita +4
A robot guide dog has compelling advantages over animal guide dogs for its cost-effectiveness, potential for mass production, and low maintenance burden. However, despite the long…
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…
Computationally-Robust and Efficient Prioritized Whole-Body Controller with Contact Constraints
Donghyun Kim, Jaemin Lee, Orion Campbell +2
In this paper, we devise methods for the multi- objective control of humanoid robots, a.k.a. prioritized whole- body controllers, that achieve efficiency and robustness in the algo…