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pro vyhledávání: '"Jeremie Daniel"'
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Autor:
Jérémie Daniel Clément, Özlem Ipek
Publikováno v:
Sensors, Vol 24, Iss 7, p 2254 (2024)
It is crucial to demonstrate a robust correlation between the simulated and manufactured parallel-transmit (pTx) arrays performances to release the currently-used, very restrictive safety margins. In this study, we describe the qualitative and quanti
Externí odkaz:
https://doaj.org/article/bf53c3eb98704333880fbd269b1422c9
Publikováno v:
Information Fusion
Information Fusion, Elsevier, 2013, pp.1. ⟨10.1016/j.inffus.2013.05.013⟩
Information Fusion, Elsevier, 2013, pp.1. ⟨10.1016/j.inffus.2013.05.013⟩
The present paper focuses on the fusion, based on imprecise and uncertain information, between a Geographic Information System (GIS) and a Speed Limit Sign Recognition System (SLSRS), performed on camera images. This study is dedicated to the develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::731d10be57d8e5384993441a5fad8fe6
https://doi.org/10.1016/j.inffus.2013.05.013
https://doi.org/10.1016/j.inffus.2013.05.013
Autor:
F. Drouhin, Hanene Gabteni, Jeremie Daniel, Benoit Hilt, Michel Basset, Pascal Lorenz, Jonathan Ledy
Publikováno v:
GLOBECOM
Due to their lack of assessment mechanisms of link quality in VANET environments, routing protocols do not deal efficiently with highly volatile links. One way to fill this gap would be to anticipate links breakages with new route computation. Curren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::973923b72bb3b8c134d9a137471ba870
https://doi.org/10.1109/glocom.2016.7841717
https://doi.org/10.1109/glocom.2016.7841717
Publikováno v:
IFAC Workshop
Advances in Control and Automation Theory for Transportation Applications
Advances in Control and Automation Theory for Transportation Applications, Sep 2013, Istanbul, Turkey. pp.TuDT2
Scopus-Elsevier
Advances in Control and Automation Theory for Transportation Applications
Advances in Control and Automation Theory for Transportation Applications, Sep 2013, Istanbul, Turkey. pp.TuDT2
Scopus-Elsevier
International audience; In intelligent vehicles applications, Multi-Target Tracking (MTT) is usually done considering imperfect sensors' data. As belief functions and particularly the Transferable Belief Model (TBM) help to model these imperfections,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89cb28650d78ee8545a6215e784a92cf
https://doi.org/10.3182/20130916-2-tr-4042.00041
https://doi.org/10.3182/20130916-2-tr-4042.00041
Publikováno v:
IFAC Proceedings Volumes. 44:668-673
This paper deals with a Speed Limit determination Advanced Driver Assistance System (ADAS) performing the combination of information given by a navigation system and a Speed Limit Sign Recognition system. The present strategy is based on a multi-leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a384f6e2f61449d817bd379b3ac51f59
https://doi.org/10.3182/20110828-6-it-1002.00597
https://doi.org/10.3182/20110828-6-it-1002.00597
Publikováno v:
IFAC Proceedings Volumes. 42:320-327
This paper presents a navigation-based Advanced Driver Assistance System for a longitudinal application which aims to adapt, in real-time, the vehicle speed, so as to ensure the passengers' safety and comfort. A digital map database provides informat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5389fff16c06b8d0ec587a32801c045
https://doi.org/10.3182/20090902-3-us-2007.0112
https://doi.org/10.3182/20090902-3-us-2007.0112
Autor:
Jeremie Daniel, Christophe Cudel, Abdelaziz Ouamri, Mohammed Boumediene, Jean-Philippe Lauffenburger
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems, IEEE, 2014, 15 (6), pp.2470-2479. ⟨10.1109/TITS.2014.2320536⟩
IEEE Transactions on Intelligent Transportation Systems, IEEE, 2014, 15 (6), pp.2470-2479. ⟨10.1109/TITS.2014.2320536⟩
International audience; —This paper presents an object tracking algorithm using belief functions applied to vision-based traffic sign recognition systems. This algorithm tracks detected sign candidates over time in order to reduce false positives d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::694ced16a3c15822468c2643f657a0c9
https://hal.archives-ouvertes.fr/hal-01123461/file/MIPS_2014_XX_MANUSCRIT.pdf
https://hal.archives-ouvertes.fr/hal-01123461/file/MIPS_2014_XX_MANUSCRIT.pdf
Publikováno v:
Intelligent Vehicles Symposium
Intelligent Vehicles Symposium, IEEE, Jun 2014, Dearborn, United States. ⟨10.1109/IVS.2014.6856492⟩
Intelligent Vehicles Symposium, IEEE, Jun 2014, Dearborn, United States. ⟨10.1109/IVS.2014.6856492⟩
International audience; — This paper tackles the problem of tracking-based Traffic Sign Recognition (TSR) systems. It presents an integrated object detection, association and tracking approach based on a spatio-temporal data fusion. This algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3b5067859369b1542dc0871eefbf553
https://hal.archives-ouvertes.fr/hal-01123469/document
https://hal.archives-ouvertes.fr/hal-01123469/document
Publikováno v:
Intelligent Vehicles Symposium
This paper describes a new strategy to assess a priori driving risk. The originality lies in the simultaneous consideration of the information related to the Vehicle, the Driver and the Environment (VDE). The heterogeneity and the imperfections of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40d18df6e422336030560e88f4211cbb
https://doi.org/10.1109/ivs.2013.6629547
https://doi.org/10.1109/ivs.2013.6629547