Výsledky vyhledávání - "Toon Bogaerts"

Akademický článek

Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model

Autor: Toon Bogaerts, Sylvain Watelet, Niko De Bruyne, Chris Thoen, Tom Coopman, Joris Van den Bergh, Maarten Reyniers, Dirck Seynaeve, Wim Casteels, Steven Latré, Peter Hellinckx

Publikováno v: Sensors, Vol 22, Iss 7, p 2732 (2022)

Road weather conditions such as ice, snow, or heavy rain can have a significant impact on driver safety. In this paper, we present an approach to continuously monitor the road conditions in real time by equipping a fleet of vehicles with sensors. Bas

Externí odkaz: https://doaj.org/article/4b79ccfce31e4a7b9b5db206062cc5d0

Zobrazit plný text záznamu

Plný text ve formátu HTML

Enhancement of road weather services using vehicle sensor data

Autor: Toon Bogaerts, Sylvain Watelet, Chris Thoen, Tom Coopman, Joris Van den Bergh, Maarten Reyniers, Dirck Seynaeve, Wim Casteels, Steven Latre, Peter Hellinckx

Publikováno v: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83e3232ecad93219dcc3cec4851a6e48
https://doi.org/10.1109/ccnc49033.2022.9700658

Zobrazit plný text záznamu

Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model

Autor: Toon Bogaerts, Sylvain Watelet, Niko De Bruyne, Chris Thoen, Tom Coopman, Joris Van den Bergh, Maarten Reyniers, Dirck Seynaeve, Wim Casteels, Steven Latré, Peter Hellinckx

Publikováno v: Sensors; Volume 22; Issue 7; Pages: 2732
Sensors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9787546f64f46cc32f0ae3dc0fce938
https://pubmed.ncbi.nlm.nih.gov/35408346

Zobrazit plný text záznamu

Disaggregation of digital meter data for synthetic load profile generation

Autor: Toon Bogaerts, Stef Jacobs, Sara Ghane, Freek Van Riet, Wim Casteels, Siegfried Mercelis, Ivan Verhaert, Peter Hellinckx

Publikováno v: International Building Performance Simulation Association (IBPSA) : proceedings of Building Simulation 17th International Conference of IBPSA (BS 2021), 1-3 September, 2021, Bruges, Belgium

The electrical consumption has to be taken into account in building simulations. Empirically-based profiles are required, which can be generated by central measurements and using non-intrusive load monitoring (NILM) for disaggregation. In this work,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53de84d8b882b0fe0aaa9a4f7c70a955
https://doi.org/10.26868/25222708.2021.30236

Zobrazit plný text záznamu

Secure and Accurate Road Weather Services - The Belgian SARWS project

Autor: Sylvain Watelet, Joris Van den Bergh, Maarten Reyniers, Wim Casteels, Toon Bogaerts, Siegfried Mercelis, Tom Coopman, Chris Thoen, Peter Hellinckx

For the generation of accurate warnings for dangerous road conditions, road weather models typically depend on observations from road weather stations (RWS) at fixed locations along roads and highways. Observations at higher resolution in space and t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd182a9ff8303e9ed804c7c61118346f
https://doi.org/10.5194/ems2021-360

Zobrazit plný text záznamu

Applying Artificial Intelligence for the detection and analysis of weather phenomena in vehicle sensor data

Autor: Peter Hellinckx, Wouter Van den Bogaert, Toon Bogaerts, Wim Casteels, Siegfried Mercelis

Publikováno v: Advances on P2P, Parallel, Grid, Cloud and Internet Computing : proceedings of the 15th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2020)
Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030611040
3PGCIC

Weather predictions arise from observatory stations on fixed locations, forming a nationwide grid. The low resolution of this grid does not allow for the prediction and discovery of local road weather conditions. This paper aims to identify weather c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::710db446bfb07a95985164e36c26c109
https://hdl.handle.net/10067/1748390151162165141

Zobrazit plný text záznamu

Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach

Autor: Toon Bogaerts, Joachim Denil, Peter Hellinckx, Stig Bosmans, Wim Casteels, Siegfried Mercelis

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030668877
MABS
Multi-Agent-Based Simulation XXI : 21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020: revised selected papers

Distributed agent-based simulations often suffer from an imbalance in computational load, leading to a suboptimal use of resources. This happens when part of the computational resoures are waiting idle for another process to finish. Self-adaptive loa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e8777183670d0600f022dfdfcc1f770
https://doi.org/10.1007/978-3-030-66888-4_1

Zobrazit plný text záznamu

Towards detection of road weather conditions using large-scale vehicle fleets

Autor: Sylvain Watelet, Wim Casteels, Joris Van den Bergh, Maarten Reyniers, Peter Hellinckx, Siegfried Mercelis, Toon Bogaerts

Publikováno v: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 25-28 May, 2020, Antwerp, Belgium
VTC Spring

Bad weather conditions such as heavy rain, black ice and fog can have a significant impact on road safety. Currently vehicle safety technologies such as the electronic stability program work reactive to hazardous situations. In this paper, we propose

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11be5543773e5a66bbe64a4bf3fbb663
https://hdl.handle.net/10067/1704110151162165141

Zobrazit plný text záznamu

A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

Autor: Enrique Onieva, Juan S. Angarita-Zapata, Toon Bogaerts, Antonio D. Masegosa, Peter Hellinckx

Publikováno v: Transportation Research Part C: Emerging Technologies
Transportation research : part C : emerging technologies

Traffic forecasting is an important research area in Intelligent Transportation Systems that is focused on anticipating traffic in order to mitigate congestion. In this work we propose a deep neural network that simultaneously extracts the spatial fe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1805e952921f4c49fe6cfabe49ff767

Zobrazit plný text záznamu

Online reverse engineering of CAN data

Autor: Toon Bogaerts, Peter Hellinckx, Siegfried Mercelis, Jens de Hoog, Wim Casteels

Publikováno v: Internet of Things

These days, most vehicles are equipped with the Controller Area Network (CAN) messaging system. This system enable numerous on-board sensors to share useful data with each other. Clearly, this data can be of high value for other applications within I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a527969b69878a253adf3393f5961cff
https://hdl.handle.net/10067/1699320151162165141

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání