Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Liviu A. Marina"'
Autor:
Liviu A. Marina
Publikováno v:
International Journal of Robotic Computing. 2
Numerous self-driving cars algorithms rely on grid maps for motion planning, obstacles avoidance, or environment perception. Obtained from fused sensory information, the occupancy grids (OGs) are nowadays among the most popular solutions used in seri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28f83df811d93bd3fd916458c9b40ad9
https://doi.org/10.35708/rc1869-126262
https://doi.org/10.35708/rc1869-126262
Autor:
Liviu Octavian Marina Fiț
Publikováno v:
Altarul Reîntregirii. :137-158
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abba437d645f8407cf854388310ed94a
https://doi.org/10.29302/ar.2018.2.8
https://doi.org/10.29302/ar.2018.2.8
Autor:
Liviu Octavian Marina Fiț
Publikováno v:
Altarul Reîntregirii. :187-211
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3599084c9becb1d1aa3bd00c1b00e784
https://doi.org/10.29302/ar.2018.3.10
https://doi.org/10.29302/ar.2018.3.10
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:
2018 22nd International Conference on System Theory, Control and Computing (ICSTCC).
It is becoming increasingly evident that data science and artificial intelligence are key technologies in the future of automotive industry. Artificial Intelligence (AI) successes are significant, with some limitations in terms of algorithms portabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e0c07ffa23015a2ad64f5336faf867c
https://doi.org/10.1109/icstcc.2018.8540753
https://doi.org/10.1109/icstcc.2018.8540753
Publikováno v:
2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP).
In this paper, we introduce a real-time approach for object recognition, applying the Faster Region-based Convolutional Network (Faster-RCNN) concept in an affordable and open source simulator that can be used to train and test Deep Neural Networks (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fb3d878b4e72a35a38de568a3316107
https://doi.org/10.1109/optim.2017.7975119
https://doi.org/10.1109/optim.2017.7975119