Pith. sign in

REVIEW 1 cited by

Indoor Navigation on Google Maps and Indoor Localization Using RSS Fingerprinting

Not yet reviewed by Pith; the record is open.

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 1405.5669 v1 pith:6ZGTLTEQ submitted 2014-05-22 cs.NI cs.CY

classification cs.NIcs.CY
keywords indoornavigationlocationmapsgoogleadvancesandroidattempt
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Contrasting to advances in street/outdoor navigation, wall mounted maps and signs continue to be the primary reference indoor navigation in hospitals, malls, museums, etc. The proliferation of mobile devices and the growing demand for location aware systems that filter information based on currently device location have led to an increase in research and product development in this field. An attempt has been made to provide solution for indoor navigation on Google maps and to provide location of a user in a building using Wi-Fi signal strength on android Smartphone.

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

  1. Grid2Guide: A* Enabled Small Language Model for Indoor Navigation

    cs.LG 2025-08 reject novelty 3.0 of 10

    A small language model formats optimal A* routes on a binarized floor plan into natural-language indoor walking directions.

Pith tools