Wyszukiwarka
Informacje szczegółowe
- Akronim projektu:
- INFOLIGHT
- Program finansujący:
- Program Operacyjny Inteligentny Rozwój
- Instytucja:
- Narodowe Centrum Badań i Rozwoju (NCBR) (The National Centre for Research and Development)
- Porozumienie:
- POIR.04.01.04-00-0075/19 z dnia 2019-09-24
- Okres realizacji:
- 2020-04-01 - 2023-06-29
- Kierownik projektu:
- dr hab. inż. Piotr Szczuko
- Członkowie zespołu:
-
- kierownik dr hab. inż. Piotr Szczuko
- Ekspert prof. dr hab. inż. Andrzej Czyżewski
- Specjalista 3 dr inż. Piotr Odya
- Informatyk mgr inż. Szymon Zaporowski
- Informatyk mgr inż. Dawid Weber
- Specjalista dr inż. Arkadiusz Harasimiuk
- Specjalista dr hab. inż. Józef Kotus
- Specjalista dr inż. Adam Kurowski
- Specjalista dr inż. Karolina Marciniuk
- Specjalista mgr inż. Paweł Spaleniak
- Specjalista dr inż. Maciej Szczodrak
- Specjalista dr hab. inż. Grzegorz Szwoch
- Realizowany w:
- Katedra Systemów Multimedialnych
- Instytucje zewnętrzne
biorące udział w projekcie: -
- Reva-Siled Sp. z o.o. (Polska)
- Siled Sp. z o.o,. (Polska)
- Wartość projektu:
- 7 134 301.47 PLN
- Typ zgłoszenia:
- Fundusze Europejskie [w tym Fundusze Strukturalne]
- Pochodzenie:
- Projekt krajowy
- Weryfikacja:
- Brak weryfikacji
Publikacje powiązane z tym projektem
Filtry
wszystkich: 9
Katalog Projektów
Rok 2023
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Autoencoder application for anomaly detection in power consumption of lighting systems
PublikacjaDetecting energy consumption anomalies is a popular topic of industrial research, but there is a noticeable lack of research reported in the literature on energy consumption anomalies for road lighting systems. However, there is a need for such research because the lighting system, a key element of the Smart City concept, creates new monitoring opportunities and challenges. This paper examines algorithms based on the deep learning...
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Detection of Water on Road Surface with Acoustic Vector Sensor
PublikacjaThis paper presents a new approach to detecting the presence of water on a road surface, employing an acoustic vector sensor. The proposed method is based on sound intensity analysis in the frequency domain. Acoustic events, representing road vehicles, are detected in the sound intensity signals. The direction of the incoming sound is calculated for the individual spectral components of the intensity signal, and the components...
Rok 2022
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Detection of Anomalies in the Operation of a Road Lighting System Based on Data from Smart Electricity Meters
PublikacjaSmart meters in road lighting systems create new opportunities for automatic diagnostics of undesirable phenomena such as lamp failures, schedule deviations, or energy theft from the power grid. Such a solution fits into the smart cities concept, where an adaptive lighting system creates new challenges with respect to the monitoring function. This article presents research results indicating the practical feasibility of real‐time...
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Machine learning applied to acoustic-based road traffic monitoring
PublikacjaThe motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...
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Robust Object Detection with Multi-input Multi-output Faster R-CNN
PublikacjaRecent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...
Rok 2021
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Acoustic Detector of Road Vehicles Based on Sound Intensity
PublikacjaA method of detecting and counting road vehicles using an acoustic sensor placed by the road is presented. The sensor measures sound intensity in two directions: parallel and perpendicular to the road. The sound intensity analysis performs acoustic event detection. A normalized position of the sound source is tracked and used to determine if the detected event is related to a moving vehicle and to establish the direction of movement....
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Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift
PublikacjaWhile recent computer vision algorithms achieve impressive performance on many benchmarks, they lack robustness - presented with an image from a different distribution, (e.g. weather or lighting conditions not considered during training), they may produce an erroneous prediction. Therefore, it is desired that such a model will be able to reliably predict its confidence measure. In this work, uncertainty estimation for the task...
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Estimation of Average Speed of Road Vehicles by Sound Intensity Analysis
PublikacjaConstant monitoring of road traffic is important part of modern smart city systems. The proposed method estimates average speed of road vehicles in the observation period, using a passive acoustic vector sensor. Speed estimation based on sound intensity analysis is a novel approach to the described problem. Sound intensity in two orthogonal axes is measured with a sensor placed alongside the road. Position of the apparent sound...
Rok 2020
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Toward Robust Pedestrian Detection With Data Augmentation
PublikacjaIn this article, the problem of creating a safe pedestrian detection model that can operate in the real world is tackled. While recent advances have led to significantly improved detection accuracy on various benchmarks, existing deep learning models are vulnerable to invisible to the human eye changes in the input image which raises concerns about its safety. A popular and simple technique for improving robustness is using data...
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