{"id":29697,"date":"2025-11-03T08:57:37","date_gmt":"2025-11-03T08:57:37","guid":{"rendered":"https:\/\/cit.upc.edu\/portfolio-item\/spot4dis-cartografia-intelligent-de-places-daparcament-accessibles\/"},"modified":"2025-11-03T09:53:58","modified_gmt":"2025-11-03T09:53:58","slug":"spot4dis-smart-mapping-of-accessible-parking-spaces","status":"publish","type":"portfolio","link":"https:\/\/cit.upc.edu\/en\/portfolio-item\/spot4dis-smart-mapping-of-accessible-parking-spaces\/","title":{"rendered":"Spot4Dis: Smart Mapping of Accessible Parking Spaces"},"content":{"rendered":"\n

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3\/11\/2025<\/p>
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A research team from the inLab FIB at the Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC), together with the Asociaci\u00f3n de Personas con Movilidad Reducida (AsoPMR), has taken part in the Spot4Dis project to enhance the mobility and autonomy of people with reduced mobility.<\/h4>
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The <\/span>Asociaci\u00f3n de Personas con Movilidad Reducida (AsoPMR) supports the improvement of autonomy within this community by sharing useful information and promoting socially impactful projects. One of its key initiatives is <\/span>Spot4Dis<\/a>, <\/span>an application designed to identify and geolocate parking spaces reserved for people with disabilities. Although it already has a database with more than 85,000 accessible parking spaces, the main challenge has been to improve the accuracy and coverage of the mapping, as well as the user experience. To address this, the project has benefited from the support of Google.org Fellows,<\/span> using artificial intelligence and advanced digital tools such as voice commands, satellite imagery, and detection algorithms to expand the existing database.<\/span><\/p>

Within the Spot4Dis application, <\/span>inLab FIB has developed an <\/span>intelligent module capable of automatically detecting parking spaces for people with reduced mobility based on:<\/span><\/p>



Satellite and street imagery





Advanced computer vision algorithms





Deep learning models



This module has been trained using data from five pilot cities: Valencia, Zaragoza, Badajoz, and A Coru\u00f1a (Spain), and Genoa (Italy).<\/span><\/p>

Impact<\/h4>

This new technological component will make it possible to <\/span>automatically expand and update the accessible map, improving territorial coverage and reducing reliance on manual data entry.<\/span><\/p>

The improvement of Spot4Dis will facilitate<\/span> travel planning, reduce accessibility barriers, and strengthen the personal autonomy of thousands of people with reduced mobility. Through technology and collaboration between social organisations and research centres, the project moves towards<\/span> more inclusive and accessible cities for everyone.<\/span><\/p>

Budget and Funding<\/h4>

The project has received a total budget of 1.5M \u20ac and has a duration of one year (April 2024 \u2013 April 2025).<\/span><\/p>
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Technology<\/h5>

Digital Transformation<\/a><\/p>
Tecnolog\u00eda
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Transport and Mobility<\/a><\/p>
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Topic<\/h5>

Artificial Intelligence<\/a><\/p>

Smart City<\/a><\/p>
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