Fakulta elektrotechniky a informatiky / Faculty of Electrical Engineering and Informatics
Stálý URI pro tuto komunituhttps://hdl.handle.net/10195/3847
Práce obhájené před rokem 2008 jsou uloženy pouze v kolekci Vysokoškolské kvalifikační práce
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Článekpeer-reviewedpostprint Omezený přístup Road to Repair (R2R): An Afrocentric Sensor-Based Solution to Enhanced Road Maintenance(IEEE (Institute of Electrical and Electronics Engineers), 2023) Jordan, Darryn Anton; Paine, Stephen; Mishra, Amit Kumar; Pidanič, JanPotholes are one of the most important issues in African road-networks. They pose a major threat to mobility and, with time, cause accelerated degradation of the underlying road infrastructure as well as extensive vehicle damage. To address the need for improved infrastructure management, an advanced data gathering solution is required. This paper presents one such solution. The pothole detection, classification and logging (PDCL) system is under active development by Sensorit (Pty) Ltd in collaboration with the University of Cape Town (UCT) Radar Remote Sensing Group (RRSG). This system represents the initial step in Sensorit's modular approach to producing fully autonomous vehicles for African markets. In this paper, an overview of the PDCL system is presented and early results are shown. The efficacy of the system's unique combination of active infrared stereo vision and mmWave frequency-modulated continuous-wave (FMCW) radar sensors is explored. Under various experimental conditions, range-Doppler maps (RDMs) produced by the radar were unable to provide meaningful pothole detections. In contrast, processed depth maps produced by the stereo vision system are demonstrated to successfully detect even shallow potholes.Článekpeer-reviewedpublished version Omezený přístup Statistical Analysis of Ground Clutter from FM Based Passive Radar(Springer, 2019) Bhatta, Abhishek; Pidanič, Jan; Mishra, AmitStatistical characterization of ground clutter information for radar systems is a topic that requires a detailed understanding. In this work, we characterize the ground clutter information from data captured by two Frequency Modulation (FM) based passive radar systems placed at different locations in the Czech Republic. Since the target models are statistically defined by the Swerling models, each of which is based on a particular distribution, we attempted to connect the ground clutter with some of the known distributions. The analysis is performed in three steps. The empirical distribution is fitted with some of the well-known distributions. Two different goodness-of-fit tests (named chi-squared test and Kolmogorov-Smirnov test) are performed on the obtained data by comparing the empirical distribution with the fitted distributions to determine which distribution is the best fit. The observations are analyzed and the results are considered in detail.Konferenční objektpeer-reviewedpostprint Otevřený přístup The Modelling of Wind Turbine Influcence in the Primary Radar Systems(University of Indonesia, 2017) Pidanič, Jan; Juryca, Karel; Suhartanto, HeruWind turbines or wind farms present a major source of renewable energy. The expansion of wind turbines across the world rapidly increases. Unfortunately, for radar systems, wind turbines are a big source of clutter that can negatively influence the behavior of the detection capabilities of radar systems, or even totally “blind” radar systems. The problematic of mitigation of the influence of the wind turbines on radar systems is highly variable and depends on parameters of the wind turbines and radar systems. The main negative parameters of wind turbines are large Radar Cross Sections and Doppler shift spread of reflected signals. For the determination of general mitigation techniques, it is important to make a deep analysis of the different types of scenarios using a developed simulator of reflected signals from a wind turbine. This paper describes developed simulator and wind turbine parameter analysis