In order to improve handling stability performance and active safety of a ground vehicle, a
large number of advanced vehicle dynamics control systems—such as the direct yaw control …

This paper presents novel research on the development of a generic intelligent oil fraction
sensor based on Electrical capacitance Tomography (ECT) data. An artificial Neural …

A low-cost optical sensor based on reflective color sensing is presented. Artificial neural
network models are used to improve the color regeneration from the sensor signals. Analog …

Current automotive electromagnetic compatibility (EMC) standards do not discuss the effect
of the driving profile on real traffic vehicular radiated emissions. This paper describes a …

Driving range is one of the biggest weaknesses of current electric vehicles (EV) and it is a
critical parameter for planning trips. Modelling of vehicle consumption for a given road route …

This paper presents a novel artificial neural network (ANN) model estimating vehicle-level
radiated magnetic emissions of an electric car as a function of the corresponding driving …

This work presents an alternative sensorial system, including the minimal number of
devices, to register the driver activity on the control pedals. As it is known, sensors directly …

In order to capture an eye image of high quality in a gaze-tracking camera, an auto-focusing
mechanism is used, which requires accurate focus assessment. Although there has been …

The application of low-intensity pulsed ultrasound (LIPUS) technology for therapy has
become a promising interdisciplinary research field in biomedical engineering. This thesis …

The increment of the use of electric vehicles leads to a worry about measuring its principal
source of environmental pollution: electromagnetic emissions. Given the complexity of …