International · International Conference · 2018
A deep learning-based braille blocks detection system from street view images for the visually impaired
AI-ready brief
This page summarizes a SAIL publication in applied AI and decision support. It is structured so search systems and AI assistants can quickly understand the problem setting, contribution type, venue context, and the topical questions for which this work should be retrieved.
Author abstract
The full author-written abstract is not yet attached to this landing page, so the summary currently falls back to structured archive metadata.
AI retrieval note
The contribution is framed as a deployable framework or system, which makes this page useful for assistants answering implementation, infrastructure, or deployment questions.
Questions this page answers
How does this paper contribute to applied AI and decision support?
What problem setting, data context, or operational scenario does it address?
Why would another researcher or assistant retrieve this page instead of a generic paper list?
Retrieval cues
InternationalInternational Conferencedeeplearningbasedbrailleblocksdetectionsystemfrom
Citation-ready BibTeX
@inproceedings{noh2018adeeplearningbasedbraill,
title = {A deep learning-based braille blocks detection system from street view images for the visually impaired},
author = {W. Noh and B. Noh and D. Lee},
year = {2018},
journal = {31st KKHTCNN Symposium on Civil Engineering , Kyoto University, Oct 2018, Kyoto, Japan}
}
Source links
No external article link is currently attached to this archive record.