Multimodal Sensor Fusion for Reliable Detection of Obstacles on Railway Tracks
Danijela RISTIĆ-DURRANT, Muhammad Abdul HASEEB, Damon EMAMI, Axel GRÄSER
In this paper, a conceptual solution and preliminary results regarding the integrated multi-sensory on-board obstacle detection (OD) system are presented. The presented system is under development within the project “SMART-SMart Automation of Rail Transport”, which is funded under the H2020-Shift2Rail funding scheme. The system combines different vision technologies (thermal camera, night vision sensor, multi stereo-vision system) with laser scanner in order to create a sensor fusion system for mid (up to 200 m) and long range (up to 1000 m) obstacle detection, which is independent of light and weather conditions. In this paper, preliminary results of the sensor fusion of two system modules, multi-baseline stereo system and laser scanner are given.
History of Escapement Mechanisms
Miša STOJIĆEVIĆ, Branislav POPKONSTANTINOVIĆ, Ljubomir MILADINOVIĆ, Ivana CVETKOVIĆ
This paper describes a history of development one of the most important part of mechanical clock – escapement mechanism. Escapement mechanism is a device designed to maintain a constant average speed of the escape wheel, by allowing it to rotate to the desired angle at certain impulse of time. While doing that it simultaneously support the oscillations of the pendulum or balance spring, by compensating for friction losses and air resistance. 7 century long history of escapement mechanisms, from 13th century verge mechanism up to modern-day escapements that can be found in luxury watches, will be shortly presented. Through lives of famous clockmakers and their achievements in field of making escapement mechanism will be given a new insight in science of time keeping – horology.
Decision-making Under Ambiguity: The Case of Investment Process
Miroslav FERENČAK, Mladen RADIŠIĆ, Dušan DOBROMIROV, Peđa MILOSAVLJEVIĆ
This paper will present the attitude towards risk taking in ambiguous surrounding. We consider that, in accordance with previous theories, potential investors with certain knowledge of financial markets tend to exhibit ambiguity aversion behavior when provided with less information than needed for decision-making process in investment. The impact of the research is to understand different movements and decision-making process and outcomes of non-professional investors on the market. The research was done on subject group consisting of former students of Industrial Engineering and Management Department of Faculty of Technical Sciences via questionnaire. The results are statistically processed and show that loss aversion under ambiguity among the research group is present.
Application of Firebase Cloud Service for Storing and Analyzing Data from IoT Mobile Devices
Marko MARKOV, Stevan STANKOVSKI, Gordana OSTOJIĆ, Igor BARANOVSKI, Sabolč HORVAT
Cloud services and the concept of IoT enabled storage of data to be more oriented on different software services and the quality of communication channels instead on the capacity of the data logger’s memory space. One of the most important cloud service is Firebase, which easily enables the integration of different operating systems and software platforms. In this paper are presented results of using Firebase cloud services for storing different kind of data (temperature, flow, GPS position, time of sampling) from the IoT mobile device.