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SmartWheels: Detecting urban features for wheelchair users’ navigation

  • Published:2020-02 Issue: Volume:62 Page:101115
  • ISSN:1574-1192
  • Container-title:Pervasive and Mobile Computing
  • language:en
  • Short-container-title:Pervasive and Mobile Computing

Author:

Mascetti Sergio,Civitarese Gabriele,El Malak Omar,Bettini Claudio

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference35 articles.

1. Transport accessibility for wheelchair users: A qualitative analysis of inclusion and health;Velho;Int. J. Transp. Sci. Technol.,2018

2. Mapping for wheelchair users: Route navigation in urban spaces;Beale;Cartogr. J.,2006

3. RouteCheckr: personalized multicriteria routing for mobility impaired pedestrians;Völkel,2008

4. ZebraRecognizer: Pedestrian crossing recognition for people with visual impairment or blindness;Mascetti;Pattern Recognit.,2016

5. A comprehensive review of smart wheelchairs: past, present, and future;Leaman;IEEE Trans. Hum.-Mach. Syst.,2017

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1. Smartwatches in Transportation: Unleashing Innovations and Advancements—A Comprehensive Systematic Review;International Conference on Transportation and Development 2024;2024-06-13

2. Design and Development of a Wheelchair Prototype;Engineering, Technology & Applied Science Research;2024-04-02

3. High-Performance Wheelchair: Wheelchair Mobility Performance Enhancement Based on Technological Applications;New Challenges for Sustainable Urban Mobility: Volume I;2024

4. Toward Open and Sustainable Data Platform for Accessible Pedestrian Network;2023 IEEE International Conference on Big Data (BigData);2023-12-15

5. Case Study: In-the-Field Accessibility Information Collection Using Gamification;20th International Web for All Conference;2023-04-30
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