[EN] This work introduces a multisensor road surface identification system that considers features from four different kind of sensors: microphones, accelerometers, speed signals, and handwheel signals. Features are extracted ...
In this paper we study the problem of automatic detection of ultrasonic echo pulses in a grain noise background considering split-spectrum (SS) algorithms as sub-optimum solutions. First, SS algorithms are reformulated ...
[EN] In this paper we compare the performances of different variants of split-spectrum algorithms and
propose some new extensions based on the use of variable bandwidth filters equally spaced in
frequency and energy gain ...
[EN] Independent Component Analyzers Mixture Models (ICAMM) are versatile and general models for a large variety of probability density functions. In this paper we assume ICAMM to derive new MAP and LMSE estimators. The ...
[EN] It is demonstrated that data augmentation is a promising approach to reduce the size of the captured dataset required for training automatic road surface classifiers. The context is on-board systems for autonomous or ...
Aleksandrovas, Arturas; Rodríguez Martínez, Alberto; Svilainis, Linas; Casa, Miguel Angel De la; Salazar Afanador, Addisson(Publishing House Technologija, 2016)
[EN] In this paper we present a new method to obtain the density of solid composites using ultrasound. The method exploits the relation between density and acoustic impedance and only requires the measurement of a reference ...