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Record
Title
Federated Learning for Obstacle Detection to Assist the Visually-Impaired Using Augmented Reality
Type
Conference Proceeding/Paper
Publ. year
2025
Author/s
Akbarian, Fatemeh; Vlaeminck, Robbe; Verheijen, Joran; Aminifar, Amin et al.
Department/s
LTH Profile Area: AI and Digitalization; Secure and Networked Systems; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; LTH Profile Area: Engineering Health; NEXTG2COM – a Vinnova Competence Centre in Advanced Digitalisation; LTH Profile Area: Water; LU Profile Area: Natural and Artificial Cognition
In LUP since
2025-12-10
Downloads

Total This Year This Month
6 4 0
 Downloads per Country

Sweden
3 (50%)
Unknown
2 (33%)
Singapore
1 (17%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access full-texts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2026-10-08 11:53:03