Blind Friendly Maps: Tactile Maps for the Blind as a Part of the Public Map Portal (Mapy.cz)

Karel B\v{r}inda; Michaela Hanouskov\'a; Petr Hofman; Petr \v{C}ervenka; Radek Seifert

Blind Friendly Maps: Tactile Maps for the Blind as a Part of the Public Map Portal (Mapy.cz)

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1603.09520 v1 pith:FPDVPYB2 submitted 2016-03-31 cs.HC cs.CY

Petr Červenka , Karel Břinda , Michaela Hanousková , Petr Hofman , Radek Seifert This is my paper · ORCID

classification cs.HCcs.CY

keywords mapsblindtactilecenterczechmapyunderlaysuniversity

verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments

read the original abstract

Blind people can now use maps located at Mapy.cz, thanks to the long-standing joint efforts of the ELSA Center at the Czech Technical University in Prague, the Teiresias Center at Masaryk University, and the company Seznam.cz. Conventional map underlays are automatically adjusted so that they could be read through touch after being printed on microcapsule paper, which opens a whole new perspective in the use of tactile maps. Users may select an area of their choice in the Czech Republic (only within its boundaries, for the time being) and also the production of tactile maps, including the preparation of the map underlays, takes no more than several minutes.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

A Step towards Automated and Generalizable Tactile Map Generation using Generative Adversarial Networks
cs.CV 2024-12 conditional novelty 6.0 of 10

A Pix2Pix GAN trained on thousands of Google Maps street views reproduces API-styled tactile maps with high IoU/F1 and generalizes across zoom levels and world regions.

Pith tools