Aleksandrs Levinskis

Elektronikas un datorzinātņu institūts

Autonomous driving has the potential to disruptively change the automotive industry as we know it today. For this, fail-operational behavior is essential in the sense, plan, and act stages of the automation chain in order to handle safety-critical situations by its own, which currently is not reached with state-of-the-art approaches.The European EC...

This paper presents an algorithm based on Kalman filtering approach that is used to estimate position and heading of a land vehicle. Source of data for the system are acquisition of low cost (Global Positioning System) GPS receiver, low cost (microelectromechanical systems) MEMS gyroscope and odometer sensor. The algorithm allows defining current p...

Paper describes wavelet transform possible application for convolutional neural networks (CNN). As it already known, wavelet transform gives good signal representation in time and frequency domains. This can be useful for CNN input feature reduction as well as architecture simplicity by using only part of coefficients. The result of work is set of...