Afnan Ahmad
Afnan Ahmad has started his masters leading to a doctorate program in the fall, 2017. His research focuses on indoor positioning, trajectory predictions, and deep learning.
Projects:
Afnan is part of Intelligent Systems for Sustainable Urban Mobility (ISSUM) funded by the Ontario Research Fund, York University, University of Waterloo, and private sector partners (Esri Canada, Fugro Roadware, Miovision, Mircom, Teledyne Optech, Exascale Solutions, Trans-Plan) and 3D Mobile Mapping Artificial Intelligence (3DMMAI) project, which is supported by the NSERC (Natural Sciences and Engineering Research Council of Canada) Collaborative Research Development (CRD) program and Teledyne Optech in Toronto. [Details]
Research Projects
3D Town
ISSUM Project Description
Publications
WI-FI RSS FINGERPRINTING FOR INDOOR LOCALIZATION USING AUGMENTED REALITY
ISPRS • 2020
A SEMANTIC GRAPH DATABASE FOR BIM-GIS INTEGRATED INFORMATION MODEL FOR AN INTELLIGENT URBAN MOBILITY WEB APPLICATION
ISPRS 2018 • 2018
Deep Adaptive Network for WiFi-Based Indoor Localization
3D GeoInfo 2023 • 2023
Public Transit Service Reliability Assessment using Two-Fluid Model
TRR 2020 • 2020
INDOOR POSITIONING USING WLAN FINGERPRINT MATCHING AND PATH ASSESSMENT WITH RETROACTIVE ADJUSTMENT ON MOBILE DEVICES.
ISPRS 2018 • 2018
Public Transit Service Reliability Assessment using Two-Fluid Model
Transportation Research Record • 2020
Development of a computer-vision based on real-time pedestrian comfort estimation system (poster)
Transportation Association of Canada and ITS Canada 2019 Joint Conference and Exhibition • 2019
WI-FI RSS fingerprinting for indoor localization using augmented reality
ISPRS • 2020
An Unsupervised Registration of 3D Point Clouds to 2D CAD Model: a Case Study of Floor Plan
ISPRS • 2020
Deep Adaptive Network for WiFi-Based Indoor Localization
International 3D Geoinfo Conference • 2023
