Building a crowdsourcing based disabled pedestrian level of service routing application using computer vision and machine learning

Blanc, Nicolas (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Liu, Zhan (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Ertz, Olivier (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Rojas, Diego (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Sandoz, Romain (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Sokhn, Maria (Haute école de gestion Arc, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Ingensand, Jens (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Loubier, Jean-Christophe (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

The availability of global and scalable tools to assess disabled pedestrian level of service (DPLoS) is a real need, yet still a challenge in today’s world. This is due to the lack of tools that can ease the measurement of a level of service adapted to disabled people, and also to the limitation concerns about the availability of information regarding the existing level of service, especially in real time. This paper describes preliminary results to progress on those needs. It also includes a design for a navigation tool that can help a disabled person move around a city by suggesting the most adapted routes according to the person’s disabilities. The main topics are how to use advanced computer vision technologies, and how to benefit from the prevalence of handheld devices. Our approach intends to show how crowdsourcing techniques can improve data quality by gathering and combining up-to-date data with valuable field observations.


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
Ingénierie et Architecture
School:
HEG Arc
HEG-VS
HEIG-VD
Institute:
insit - Institut d’ingénierie du territoire
Institut du Management et des Systèmes d'Information
Institut Informatique de gestion
ITO-Institut de Tourisme
MEI - Media Engineering Institute
Publisher:
Las Vegas, USA, 11-14 January 2019
Date:
2019-02
Las Vegas, USA
11-14 January 2019
Pagination:
5 p.
Published in:
Proceedings of 2019 16th IEEE Annual consumer communications & networking conference (CCNC), 11-14 January 2019, Las Vegas, USA
DOI:
ISSN:
2331-9852
ISBN:
978-1-5386-5553-5
Appears in Collection:



 Record created 2019-06-18, last modified 2019-08-06

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