Stereo uparivanje iz video isječka

This paper proposes a novel method for stereo matching which is based on combination of active and passive stereo 3D reconstruction approaches. A laser line is used to scan the reconstructed scene and a stereo camera pair is used for the image acquisition. Each image pixel is scanned at a specific scan time so that the intensity time patterns of the correspondent pixels are highly correlated. This yield in highly confident and accurate disparity map calculation and also allows the reconstruction of poorly textured as well as the extremely textured surface which are very hard to deal with using the conventional passive stereo approaches. The occluded regions are also detected successfully. This method is not computationally intensive and can be used for turning the smartphone into the practical 3D scanner as presented in this work.Ovim radom predstavljena je nova metoda stereo uparivanja temeljena na kombinaciji aktivnog i pasivnog stereo pristupa. Rekonstruirana scena skenirana je laserskom linijom, dok se par stereo kamera koristi za akviziciju video isječka. Svaki slikovni element rekonstruirane scene skeniran je laserskom linijom u određenom trenutku stoga su profili intenziteta svjetline u vremenskoj domeni izrazito korelirani za slikovne elemente lijeve i desne kamere koji odgovaraju istom slikovnom element rekonstruirane scene. Stoga je rezultat predstavljene metode određivanje stereo parova slikovnih elemenata s visokom pouzdanošću. Nadalje, predstavljena metoda omogućuje rekonstruiranje izrazito slabo odnosno izrazito intenzivno teksturiranih scena što je često veoma teško postići korištenjem konvencionalnih metoda stereo 3D rekonstrukcije. Metoda je jednostavna te ju je moguće implementirati na sustavima ograničenih računarskih resursa, stoga je iznimno pogodna za primjenu na mobilnim platformama primjerice pametnim telefonima

Optimizing braking energy flow through charging status surface expansion

Energy savings in electric railway transportation is essential due to the ever-rising energy cost and endeavour to reduce climate change impact. A valuable method to increase energy efficiency is to recuperate and consenquently utilize the regenerative braking energy of electric railway vehicles. The system that stores and reuses the braking energy is called a regenerative braking system, consisting of an energy storage system (ESS), a birdirectional power converter, and a control system, which includes an algorithm controlling the braking energy flow. A properly designed algorithm increases energy efficiency, lessens the stress on the power grid, increases the lifetime of the energy storage system, and enables a catenary-free operation of the electric railway vehicle. The algorithm is defined by combining two algorithms with opposite features – maximum energy savings and minimal number of cycles. The algorithm is then synthesized from those two criteria using an optimization process and then simulated while its effect on energy savings and grid stability is analyzed. Energy savings and a more stable grid are achieved with the use of the algorithm, which corroborates the inclusion of a regenerative braking system in electric railway vehicles