Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Bogdan Trasnea"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 18 (2021)
In this article, we introduce a learning-based vision dynamics approach to nonlinear model predictive control (NMPC) for autonomous vehicles, coined learning-based vision dynamics (LVD) NMPC. LVD-NMPC uses an a-priori process model and a learned visi
Externí odkaz:
https://doaj.org/article/34b01930d5614afc91aca907a48c3ecd
Autor:
Sorin Grigorescu, Tiberiu Cocias, Bogdan Trasnea, Andrea Margheri, Federico Lombardi, Leonardo Aniello
Publikováno v:
Sensors, Vol 20, Iss 19, p 5450 (2020)
Self-driving cars and autonomous vehicles are revolutionizing the automotive sector, shaping the future of mobility altogether. Although the integration of novel technologies such as Artificial Intelligence (AI) and Cloud/Edge computing provides gold
Externí odkaz:
https://doaj.org/article/1ab02e4bb5884c85a4a62c954bbef3d7
ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles
Autor:
Mihai Zaha, Cosmin Ginerica, Florin Gogianu, Sorin Mihai Grigorescu, Lucian Busoniu, Bogdan Trasnea
Publikováno v:
IEEE Robotics and Automation Letters
A key component in autonomous driving is the ability of the self-driving car to understand, track and predict the dynamics of the surrounding environment. Although there is significant work in the area of object detection, tracking and observations p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acb5c92d0002d912da7cfc79ce9c52aa
https://doi.org/10.1109/lra.2021.3096157
https://doi.org/10.1109/lra.2021.3096157
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 18 (2021)
International Journal of Advanced Robotic Systems
International Journal of Advanced Robotic Systems
In this article, we introduce a learning-based vision dynamics approach to nonlinear model predictive control (NMPC) for autonomous vehicles, coined learning-based vision dynamics (LVD) NMPC. LVD-NMPC uses an a-priori process model and a learned visi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c515371bb2178da5c6d87e9a555dff53
Autor:
Andrea Margheri, Federico Lombardi, Sorin Mihai Grigorescu, Bogdan Trasnea, Tiberiu T. Cocias, Leonardo Aniello
Publikováno v:
Sensors, Vol 20, Iss 5450, p 5450 (2020)
Sensors
Volume 20
Issue 19
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 19
Sensors (Basel, Switzerland)
Self-driving cars and autonomous vehicles are revolutionizing the automotive sector, shaping the future of mobility altogether. Although the integration of novel technologies such as Artificial Intelligence (AI) and Cloud/Edge computing provides gold
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee88c94821acc9a834ee86785dde9a2c
http://arxiv.org/abs/2009.11722
http://arxiv.org/abs/2009.11722
Autonomous vehicles are controlled today either based on sequences of decoupled perception-planning-action operations, either based on End2End or Deep Reinforcement Learning (DRL) systems. Current deep learning solutions for autonomous driving are su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d765fe3e973c86dec56cfabb5e33439
http://arxiv.org/abs/1906.10971
http://arxiv.org/abs/1906.10971
Autor:
Sorin Mihai Grigorescu, Andrei Vasilcoi, Bogdan Trasnea, Tiberiu T. Cocias, Liviu A. Marina, Florin Moldoveanu
Publikováno v:
IRC
Grid maps obtained from fused sensory information are nowadays among the most popular approaches for motion planning for autonomous driving cars. In this paper, we introduce Deep Grid Net (DGN), a deep learning (DL) system designed for understanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c5ab000a6fb8baaac582de1f3cfe072
https://doi.org/10.1109/irc.2019.00073
https://doi.org/10.1109/irc.2019.00073
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030337087
MIWAI
MIWAI
Driving in dynamically changing traffic is a highly challenging task for autonomous vehicles, especially in crowded urban roadways. The Artificial Intelligence (AI) system of a driverless car must be able to arbitrate between different driving strate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e644ac39b4fa66f59d913e1264c82f9
https://doi.org/10.1007/978-3-030-33709-4_17
https://doi.org/10.1007/978-3-030-33709-4_17
The last decade witnessed increasingly rapid progress in self-driving vehicle technology, mainly backed up by advances in the area of deep learning and artificial intelligence. The objective of this paper is to survey the current state-of-the-art on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678b66128b3b533c94e3becbc4e211c2