Descripción del proyecto
Optimización del potencial de seguridad de la automatización de vehículos
La transición a la automatización plena conlleva sus riesgos, sobre todo cuando se cambia entre un conductor humano y un sistema automatizado, con la posibilidad de que este último no siempre funcione. Debido a esto, los sistemas de transporte automatizados deben poder evaluar de manera inteligente las fortalezas y debilidades del conductor y el sistema, y elegir así el mejor controlador. En el proyecto MEDIATOR, financiado con fondos europeos, se desarrollará un sistema de mediación para el transporte por carretera a fin de proporcionar un cambio seguro y al instante entre el conductor y el sistema en función del más apto para conducir. Para ello, se emplearán los conocimientos más avanzados y se desarrollarán y adaptarán las tecnologías disponibles para la recopilación, el almacenamiento y el análisis de datos en tiempo real, incorporando las últimas técnicas de inteligencia artificial.
Objetivo
Problem: Automated transport technology is developing rapidly for all transport modes, with huge safety potential. However, the transition to full automation brings new risks, such as misuse, overreliance, reduced situational awareness and mode confusion. The driving task changes to a more supervisory role, reducing the task load and potentially leading to degraded performance. Similarly, the automated system may not (yet) function in all situations; it must intelligently assess the strengths and weaknesses of both driver and system and select the best control mode according to the context.
Solution: MEDIATOR proposes an intelligent ‘mediating’ support system for road transport, enabling safe, real-time switching between human driver and system. It will constantly evaluate driving context, driver state and vehicle automation status, personalising its technology to the driver’s general competence.
Approach: MEDIATOR pursues a paradigm shift away from a view that prioritises either the driver or the automation, instead integrating the best of both. It will use state-of-the-art knowledge, including that from other transport modes, and develop new knowledge about human behaviour and human-machine interaction. It will apply the latest artificial intelligence technology to evaluate driver state, automation status and driving context in real time. It will produce several prototypes in the lab and in actual vehicles, for evaluation in simulation, simulator and on-road studies—as well as several tools for further exploitation.
Impact: MEDIATOR will optimise the safety potential of vehicle automation, especially during the transition to full automation. It will reduce future as well as current risks (such as inattention or fatigue). MEDIATOR will facilitate market exploitation by actively involving the automotive industry during the development process. Further, the involvement of experts from other transport modes will maximise the transfer of knowledge to these domains.
Ámbito científico
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- social sciencessociologyindustrial relationsautomation
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineering
- social sciencessocial geographytransport
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-MG-2018-TwoStages
Régimen de financiación
RIA - Research and Innovation actionCoordinador
2492 JP 'S-GRAVENHAGE
Países Bajos
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.