Project to support the development of theoretical concepts and practical tools applied to optimized routes in the field of on-demand transportation.
Success Stories
Highlighted projects of inLab FIB
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Machine learning model able to detect different phases when watering a crop field
The eBRT2030 project will create a new generation of advanced, all-electric, urban and peri-urban European Bus Rapid Transit (BRT), enhanced with novel automation and connectivity functionalities to support sustainable urban transport.
An AI system that generates rose images from a sketch and a brief description. The result is an image with one or more roses that follows the shape of the sketch and tries to reflect the descriptive text.
Open-source library for computing model substitutes based on partial differential equations.
Study of a use case that aims to evaluate the implementation of a dynamic traffic congestion management system in Barcelona.
Implementation of AI models capable of detecting patterns and alerting of a drop in quality level applied to Industry 4.0.
Nexus Geographics has contacted inLab FIB, as mobility experts, in order to carry out a consultancy and analysis for the improvement of the Mou-te tool.
Research and development of a pilot disruptive traffic model, which takes advantage of the possibilities of the latest advances in computing, communications and data sources.
The objective is to have a tool that is capable of representing the map of knowledge of the UPC and to be able to show areas of confluence of disciplines and emerging areas.
Generation of digital roses through artificial intelligence applied to art from deep learning models.
Design of new strategies, based on machine learning algorithms and data analysis, to improve the efficiency and performance of electric vehicle motors and batteries.