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20092023
most citedTransitLabel: A Crowd-Sensing System for Automatic Labeling of Transit Stations Semantics

75 citations · 572 across the 39 of their papers we have counts for

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9 papers · 1 filter

cs.CY2021★ 30 cited

The Tale of Two Localization Technologies: Enabling Accurate Low-Overhead WiFi-based Localization for Low-end Phones

Ahmed Shokry, Moustafa Elhamshary, Moustafa Youssef

WiFi fingerprinting is one of the mainstream technologies for indoor localization. However, it requires an initial calibration phase during which the fingerprint database is built…

cs.CY2020★ 24 cited

DynamicSLAM: Leveraging Human Anchors for Ubiquitous Low-Overhead Indoor Localization

Ahmed Shokry, Moustafa Elhamshary, Moustafa Youssef

We present DynamicSLAM: an indoor localization technique that eliminates the need for the daunting calibration step. DynamicSLAM is a novel Simultaneous Localization And Mapping (S…

cs.CY2016

A Fine-grained Indoor Location-based Social Network

Moustafa Elhamshary, Anas Basalamah, Moustafa Youssef

Existing Location-based social networks (LBSNs), e.g., Foursquare, depend mainly on GPS or cellular-based localization to infer users' locations. However, GPS is unavailable indoor…

cs.CY2016★ 75 cited

TransitLabel: A Crowd-Sensing System for Automatic Labeling of Transit Stations Semantics

Moustafa Elhamshary, Moustafa Youssef, Akira Uchiyama +2

We present TransitLabel, a crowd-sensing system for automatic enrichment of transit stations indoor floorplans with different semantics like ticket vending machines, entrance gates…

cs.CY2015★ 8 cited

semMatch: Road Semantics-based Accurate Map Matching for Challenging Positioning Data

Heba Aly, Moustafa Youssef

Map matching has been used to reduce the noisiness of the location estimates by aligning them to the road network on a digital map. A growing number of applications, e.g. energy-ef…

cs.CY2015★ 47 cited

LaneQuest: An Accurate and Energy-Efficient Lane Detection System

Heba Aly, Anas Basalamah, Moustafa Youssef

Current outdoor localization techniques fail to provide the required accuracy for estimating the car's lane. In this paper, we present LaneQuest: a system that leverages the ubiqui…