Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Vincent Judalet"'
Publikováno v:
IEEE Access, Vol 8, Pp 56992-57002 (2020)
Innovative technologies and naturalistic driving data sources provide a great potential to develop reliable autonomous driving systems. Understanding the behaviors of surrounding vehicles is essential for improving safety and mobility of autonomous v
Externí odkaz:
https://doaj.org/article/34fe2daec43a45dabbd4306eeb9d5d77
Publikováno v:
Sensors, Vol 22, Iss 21, p 8148 (2022)
Despite the great technological advances in ADAS, autonomous driving still faces many challenges. Among them is improving decision-making algorithms so that vehicles can make the right decision inspired by human driving. Not only must these decisions
Externí odkaz:
https://doaj.org/article/cf8fdd29432d4d6a99f988a9ba4554dd
Publikováno v:
Sensors, Vol 21, Iss 14, p 4717 (2021)
With the advancement of technology and the arrival of miniaturized environmental sensors that offer greater performance, the idea of building mobile network sensing for air quality has quickly emerged to increase our knowledge of air pollution in urb
Externí odkaz:
https://doaj.org/article/65edd8bbc2eb4086b7db6328ece4c710
Publikováno v:
Sensors, Vol 18, Iss 7, p 2332 (2018)
The place of driving assistance systems is currently increasing drastically for road vehicles. Paving the road to the fully autonomous vehicle, the drive-by-wire technology could improve the potential of the vehicle control. The implementation of the
Externí odkaz:
https://doaj.org/article/c3bef231aef44ffb919ef132d031bdf7
Publikováno v:
IEEE Access, Vol 8, Pp 56992-57002 (2020)
Innovative technologies and naturalistic driving data sources provide a great potential to develop reliable autonomous driving systems. Understanding the behaviors of surrounding vehicles is essential for improving safety and mobility of autonomous v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ae8bae638f82c0485321e68c4300135
https://ieeexplore.ieee.org/document/9043491/
https://ieeexplore.ieee.org/document/9043491/
Publikováno v:
ICSTCC
One major objective of the autonomous driving is to act similarly to a real driver for two main reasons: to be comprehensible by the surrounding drivers, and to be accepted by the passengers. In this work, a decision algorithm for lane changing in hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eadccd680c818649bdf05a953404e22
https://doi.org/10.1109/icstcc52150.2021.9607228
https://doi.org/10.1109/icstcc52150.2021.9607228
Publikováno v:
Sensors, Vol 21, Iss 4717, p 4717 (2021)
Sensors
Volume 21
Issue 14
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 14
Sensors (Basel, Switzerland)
With the advancement of technology and the arrival of miniaturized environmental sensors that offer greater performance, the idea of building mobile network sensing for air quality has quickly emerged to increase our knowledge of air pollution in urb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d555892fcff6c63637e232b9c7832763
https://www.mdpi.com/1424-8220/21/14/4717
https://www.mdpi.com/1424-8220/21/14/4717
Publikováno v:
MED
In the context of autonomous driving, early identification and interpretation of surrounding vehicle’s maneuvers are key elements to ensure a high-level of road safety. In this paper, we present a new concept to classify and predict surrounding veh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4108139d2b657a6170de59e844512c94
https://doi.org/10.1109/med51440.2021.9480326
https://doi.org/10.1109/med51440.2021.9480326
Publikováno v:
2020 International Conference on Control, Automation and Diagnosis (ICCAD).
One important aspect of decision making algorithms for the autonomous driving is to behave like a human driver for two main reasons: to be understandable by the other road users, and not to cause discomfort to passengers. To this end, it is necessary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2637481f6e5567ad07117ae739cec3e
https://doi.org/10.1109/iccad49821.2020.9260515
https://doi.org/10.1109/iccad49821.2020.9260515
Publikováno v:
MED
Accurate and real-time trajectory prediction of traffic participants is important in autonomous driving systems, especially for decision making and risk assessment. Existing models such as physics-based and maneuver-based models are mainly used for s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cea43f71d56382ba369ab5006fc55ab7
https://doi.org/10.1109/med48518.2020.9183216
https://doi.org/10.1109/med48518.2020.9183216