Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Briti Gangopadhyay"'
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 8:1889-1899
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65a03c23163aa10eda363dad99036f8f
https://doi.org/10.1109/tiv.2022.3160202
https://doi.org/10.1109/tiv.2022.3160202
Publikováno v:
Pattern Recognition Letters. 152:143-149
Human vision is able to compensate imperfections in sensory inputs from the real world by reasoning based on prior knowledge about the world. Deep learning has had a significant impact on computer vision due to its inherent ability in handling imprec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55a3fd0b2f4a199bf3e24a5c14d06dd8
https://doi.org/10.1016/j.patrec.2021.10.004
https://doi.org/10.1016/j.patrec.2021.10.004
Publikováno v:
2022 IEEE Women in Technology Conference (WINTECHCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21614ff831103ae822db09727ec2dd71
https://doi.org/10.1109/wintechcon55229.2022.9832063
https://doi.org/10.1109/wintechcon55229.2022.9832063
Recent advances in Reinforcement Learning (RL) combined with Deep Learning (DL) have demonstrated impressive performance in complex tasks, including autonomous driving. The use of RL agents in autonomous driving leads to a smooth human-like driving e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f76b32c233b3a26fe478c64b87588bd
Autor:
Giovanni Montana, Briti Gangopadhyay, Siddartha Khastgir, Paul Jennings, Sumanta Dey, Pallab Dasgupta
Publikováno v:
ITSC
With advancements in technology, the automotive industry is experiencing a paradigm shift from assisted driving to highly automated driving. However, autonomous driving systems are highly safety critical in nature and need to be thoroughly tested for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07f341fae3e0486d239141a6134b9e9f
https://doi.org/10.1109/itsc.2019.8917103
https://doi.org/10.1109/itsc.2019.8917103
Autor:
Carl Zetie, Huzefa H. Pancha, Vishal Jetla, Kevin Gildea, Briti Gangopadhyay, Sandeep R. Patil
Publikováno v:
2018 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM).
Various federal laws (varying from country to country) govern geographically where a given category of data should reside, from where it should be accessible and where it should be restricted. Most of the data falling under the laws and regulation ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfaa48d9d79485058bd2354adf553318
https://doi.org/10.1109/ccem.2018.00012
https://doi.org/10.1109/ccem.2018.00012