Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Dennis Orth"'
Publikováno v:
International Journal of Automotive Engineering, Vol 10, Iss 2, Pp 175-183 (2019)
In this paper, we present our recently introduced “assistance on demand (AOD)” concept, which allows the driver to request assistance via speech whenever he or she deems it appropriate. The target scenario we currently investigate is turning left
Externí odkaz:
https://doaj.org/article/5bd7b67b101c43e8b45bc73e25f36959
Publikováno v:
International Journal of Automotive Engineering. 10:175-183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285ccdaf98b0963f9353dfd742b3847f
https://doi.org/10.20485/jsaeijae.10.2_175
https://doi.org/10.20485/jsaeijae.10.2_175
Publikováno v:
ATZ - Automobiltechnische Zeitschrift. 119:38-43
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd29401d024ad6030a142f1b978d2b68
https://doi.org/10.1007/s35148-017-0022-z
https://doi.org/10.1007/s35148-017-0022-z
Publikováno v:
AutomotiveUI (adjunct)
We present the first speech-based advanced driver assistance prototype. It is based on our previously proposed on-demand communication concept for the interaction between the driver and his or her vehicle. Using this concept, drivers can flexibly act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::135e11f85c421f120cd4087c2ff66567
https://doi.org/10.1145/3349263.3349599
https://doi.org/10.1145/3349263.3349599
Publikováno v:
ITSC
Previously, we have presented a speech-based intersection assistant prototype. The system is activated on-demand by the driver and gives afterwards, via speech, information on suitable gaps between the traffic vehicles approaching from the right. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0751a3412abde3044fe5753db40da479
https://doi.org/10.1109/itsc.2018.8569821
https://doi.org/10.1109/itsc.2018.8569821
Publikováno v:
Intelligent Vehicles Symposium
We have recently proposed a speech-based on- demand intersection assistant which helps the driver to handle urban intersections by informing him of the traffic situation on the right hand side and recommending suitable gaps in traffic. In a previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61b0dac7e0dac8360e3b0aa75c93f94a
https://doi.org/10.1109/ivs.2018.8500402
https://doi.org/10.1109/ivs.2018.8500402
Publikováno v:
ITSC
In this work, we introduce a novel maximum a posteriori (MAP) method, which can predict driver left-turn behavior from only a few training samples. For the prediction of the driver behavior in this scenario we utilize the so-called critical gap. It s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed0c4673ec784ef20f3ac4c1dfe669a1
https://doi.org/10.1109/itsc.2017.8317721
https://doi.org/10.1109/itsc.2017.8317721
Autor:
Christian Mark, Nadja Schömig, Martin Heckmann, Monika Jagiellowicz-Kaufmann, Dorothea Kolossa, Dennis Orth
Publikováno v:
AutomotiveUI
We have previously introduced a novel Assistance On Demand (AOD) concept in the context of an urban speech-based left-turn assistant which supports the driver in monitoring and decision making by providing recommendations for suitable time gaps to en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::051bec35707c2b280af01a510df9531d
https://doi.org/10.1145/3122986.3123004
https://doi.org/10.1145/3122986.3123004
Autor:
Milton Sarria Paja, Kersten Schaller, Dorothea Kolossa, Dennis Orth, Martin Heckmann, Andreas Pech
Publikováno v:
Intelligent Vehicles Symposium
In this work, we introduce a maximum likelihood (ML) method to estimate the smallest accepted gap of a specific driver, the so-called critical gap. Previous methods, like Troutbeck's or Raff's method, are well known and widely used but require a cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51de92f3cf7659a5d19973e8469ef1ef
https://doi.org/10.1109/ivs.2017.7995776
https://doi.org/10.1109/ivs.2017.7995776
Publikováno v:
Proceedings ISBN: 9783658190583
We recently developed the concept of “Assistance on Demand”. This describes an advanced driver assistance system (ADAS) which supports a driver in an inner city scenario only if she asks for assistance. A key element is the control of the ADAS vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f6c83365fdc3dada79fc4059e15c701
https://doi.org/10.1007/978-3-658-19059-0_2
https://doi.org/10.1007/978-3-658-19059-0_2
