activity
20242026
most citedIs it safe to cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing

2 citations · 3 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

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…

cs.RO2026

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2024★ 1 cited

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…

cs.CV2024

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…

cs.RO2024

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…

cs.CV2024★ 2 cited

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…