3 citations · 5 across the 6 of their papers we have counts for
6 papers
CapNav: Benchmarking Vision Language Models on Capability-conditioned Indoor Navigation
Xia Su, Ruiqi Chen, Benlin Liu +4
Vision-Language Models (VLMs) have shown remarkable progress in Vision-Language Navigation (VLN), offering new possibilities for navigation decision-making that could benefit both…
FlyMeThrough: Human-AI Collaborative 3D Indoor Mapping with Commodity Drones
Xia Su, Ruiqi Chen, Jingwei Ma +2
Indoor mapping data is crucial for routing, navigation, and building management, yet such data are widely lacking due to the manual labor and expense of data collection, especially…
"Does the cafe entrance look accessible? Where is the door?" Towards Geospatial AI Agents for Visual Inquiries
Jon E. Froehlich, Jared Hwang, Zeyu Wang +7
Interactive digital maps have revolutionized how people travel and learn about the world; however, they rely on pre-existing structured data in GIS databases (e.g., road networks,…
Accessibility Scout: Personalized Accessibility Scans of Built Environments
William Huang, Xia Su, Jon E. Froehlich +1
Assessing the accessibility of unfamiliar built environments is critical for people with disabilities. However, manual assessments, performed by users or their personal health prof…
RASSAR: Room Accessibility and Safety Scanning in Augmented Reality
Xia Su, Han Zhang, Kaiming Cheng +4
The safety and accessibility of our homes is critical to quality of life and evolves as we age, become ill, host guests, or experience life events such as having children. Research…
Towards Semi-automatic Detection and Localization of Indoor Accessibility Issues using Mobile Depth Scanning and Computer Vision
Xia Su, Kaiming Cheng, Han Zhang +2
To help improve the safety and accessibility of indoor spaces, researchers and health professionals have created assessment instruments that enable homeowners and trained experts t…