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Cheng-Ying Tsai and Chieh-Li Chen
In recent decades, haze has become an environmental issue due to its effects on human health. It also reduces visibility and degrades the performance of computer vision algorithms in autonomous driving applications, which may jeopardize car driving safet...
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Francisco Martín, Fernando González, José Miguel Guerrero, Manuel Fernández and Jonatan Ginés
The perception and identification of visual stimuli from the environment is a fundamental capacity of autonomous mobile robots. Current deep learning techniques make it possible to identify and segment objects of interest in an image. This paper presents...
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Simon Gay, Kévin Le Run, Edwige Pissaloux, Katerine Romeo and Christèle Lecomte
This paper presents a novel bio-inspired predictive model of visual navigation inspired by mammalian navigation. This model takes inspiration from specific types of neurons observed in the brain, namely place cells, grid cells and head direction cells. I...
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Mamadou Doumbia and Xu Cheng
Currently, almost all robot state estimation and localization systems are based on the Kalman filter (KF) and its derived methods, in particular the unscented Kalman filter (UKF). When applying the UKF alone, the estimate of the state is not sufficiently...
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Raul Cesar Alves, Josué Silva de Morais, Keiji Yamanaka
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