Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Pavel Nedoma"'
Publikováno v:
Vehicles, Vol 4, Iss 2, Pp 326-343 (2022)
Parking road vehicles is one of the most tedious and challenging tasks a human driver performs. Despite the low speeds involved, parking manoeuvres are among the main causes of minor and sometimes major traffic accidents, especially in urban areas wh
Externí odkaz:
https://doaj.org/article/07d7eb9989514c178021bc3b9ae4257d
Publikováno v:
Perner’s Contacts, Vol 14, Iss 3 (2019)
Předkládaný článek poskytuje základní přehled o vývoji mezinárodního normy v oblasti konceptuálního a logického datového modelu a fyzického formátu pro kódování geografických databází pro aplikace a služby inteligentních dopr
Externí odkaz:
https://doaj.org/article/87383d1cb14e4867be23421fdd42988a
Publikováno v:
IFAC-Papers
Models of road vehicle driver behaviour are widely used in several disciplines, like driver distraction and autonomous driving. In this paper, a novel driver performance model, which is unique for every driver, is introduced. The driver is modelled w
Autor:
Wim Desmet, Wouter De Nijs, Mike Blundell, Antonella Ferrara, Frank Naets, Mathias Kiele-Dunsche, Matthijs Klomp, Klaus Augsburg, Michael Stolz, Stratis Kanarachos, Alessandro Victorino, Bert Pluymers, Valentin Ivanov, Steffen Metzner, Pavel Nedoma
Publikováno v:
IFAC-PapersOnLine. 51:236-242
This paper introduces the setup of the European network ITEAM aimed at the training of early-stage researchers (ESR) in the field of multi-actuated ground vehicles (MAGV). A network concept includes three main domains, where fifteen interconnected in
Publikováno v:
2019 IEEE International Conference on Mechatronics (ICM)
ICM
ICM
Considering the high demands continually imposed on equipment indispensable for intelligent transportation, this paper focuses on the cruise control in propulsion systems of road electric vehicles. The research lays emphasis on how to arrange optimal
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems
n addition to vehicle control, drivers often perform secondary tasks that impede driving. Reduction of driver distraction is an important challenge for the safety of intelligent transportation systems. In this paper, a methodology for detection and e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b00d4d833fe3d3f2e2476316e3bf50a1
https://zenodo.org/record/3370912
https://zenodo.org/record/3370912
Publikováno v:
INDIN
2018 IEEE 16th International Conference on Industrial Informatics (INDIN)
2018 IEEE 16th International Conference on Industrial Informatics (INDIN)
Driver distraction is a fundamental problem for human safety, because the number of traffic accidents due to distracted driving does not decrease. In this paper, an enhancement of previously proposed driver distraction detection and evaluation method
Publikováno v:
IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society
IECON
IECON
Steep improvement of an in-vehicle info- and entertainment systems has a positive impact on vehicle control, comfort, safety, etc. Nevertheless, it also leads to a multitasking load increase on the in-vehicle information system due to fundamental pro
A novel method for evaluating driver distraction and situation awareness while performing a secondary task using a fuzzy set theory is proposed in this paper. A fuzzy inference engine realization process based on simple matrix operations is described
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::20a696f46dcab9fbf1f674efb6eacc5e
https://zenodo.org/record/1240098
https://zenodo.org/record/1240098
Publikováno v:
SpringerBriefs in Applied Sciences and Technology ISBN: 9783319531649
This work is focused on the energy consumption optimization in different driving conditions. The vehicle is localized on the track by GPS coordinates so it is possible to influence dynamic parameters of its movement according to the following route p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::099e943eee07432d2d1b1269778d2380
https://doi.org/10.1007/978-3-319-53165-6_3
https://doi.org/10.1007/978-3-319-53165-6_3