iMoLab: Intelligent Mobility Laboratory
iMoLab is a coordinated R&D project involving 6 technology institutes, to define and create a distributed smart mobility laboratory to facilitate the implementation of innovation projects among the players in the mobility sector. The institutes taking part in the initiative provide the knowledge of communications, connected infrastructures, energy management and people's needs that the new sustainable, connected and autonomous mobility sector requires.
USER-CHI: Promoting electromobility by improving the experience of Electric Vehicle drivers
USER-CHI is an innovative project aimed at promoting electromobility in Europe, by coming up with solutions that improve the experience of drivers during the charging process. This article presents the main results obtained in the qualitative research work carried out within the context of the project, which users from six different EU countries have taken part in.
HAV: Human Autonomous Vehicle. Laboratory for the analysis of Human Factors in autonomous vehicles
The Instituto de Biomecánica (IBV) has recently expanded its facilities by renovating its Automotive Simulation Laboratory thanks to a new dynamic driving simulator (HAV - Human Autonomous Vehicle) that allows us to emulate highly realistic environments by adding movement, incorporating virtual reality environments and integrating driver/passenger sensorization to evaluate the way of driving and to measure physiological parameters (such as breathing rate, heart rate or the direction of the gaze) that make it possible to determine the physical, cognitive and emotional state of the driver and the passenger.
HAV joins the family of IBV laboratories (which already includes the exceptional Human Analysis Lab - HAL that is used to capture the shape of the body in motion, the Climate Comfort Lab or the Co-creation Lab) all of which are focused on improving the development of advanced products in collaboration with our clients.
Making autonomous vehicle decisions more human. Project SUaaVE
The acceptability of connected and autonomous vehicles is a complex process involving several factors including individual, social, cognitive and perceptive factors, among others. The SUaaVE project has built a model for evaluating emotions in order to integrate the user's emotions and sensations into the behavior of an autonomous vehicle. The basis of this model is a set of rules that determine the emotion that a person is feeling, based on environmental data and data from the individual themself.
BUSCAR / FIND
SOCIAL MEDIA
