Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kaunil Dhruv"'
Autor:
İlke Demir, Forest Hughes, Aman Raj, Kaunil Dhruv, Suryanarayana Murthy Muddala, Sanyam Garg, Barrett Doo, Ramesh Raskar
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 3, p 84 (2018)
We describe our automatic generative algorithm to create street addresses from satellite images by learning and labeling roads, regions, and address cells. Currently, 75% of the world’s roads lack adequate street addressing systems. Recent geocodin
Externí odkaz:
https://doaj.org/article/69faa616ef904da6919073e44a1325a1
A Neurophysiological Sensor Suite for Real-Time Prediction of Pilot Workload in Operational Settings
Publikováno v:
HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games ISBN: 9783030601270
HCI (43)
HCI (43)
In recent years, research involving the use of neurophysiological sensor streams to quantitatively measure and predict the level of mental workload experienced by an individual user has gained momentum as the complexity of the tasks operators have ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5f59cafb726b2b1b63003b069db2404
https://doi.org/10.1007/978-3-030-60128-7_5
https://doi.org/10.1007/978-3-030-60128-7_5
Autor:
Kaunil Dhruv, Sanyam Garg, Ilke Demir, Suryanarayana Murthy Muddala, Aman Raj, Forest Hughes, Barrett Doo, Ramesh Raskar
Publikováno v:
CVPR Workshops
Other repository
Other repository
© 2018 IEEE. Millions of people are disconnected from basic services due to lack of adequate addressing. We propose an automatic generative algorithm to create street addresses from satellite imagery. Our addressing scheme is coherent with the stree
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7444cbadbcd88ce988ab6363b8ecf8f5
https://doi.org/10.1109/cvprw.2018.00245
https://doi.org/10.1109/cvprw.2018.00245
Autor:
Divyaa Ravichandran, Grace Kermani, Sanyam Garg, Kleovoulos Tsourides, Jatin Malhotra, Kaunil Dhruv, Ilke Demir, Aman Raj, Forest Hughes, Suryanarayana Murthy, Ramesh Raskar, Barrett Doo
Publikováno v:
CVPR Workshops
We describe our automatic generative algorithm to create street addresses (Robocodes) from satellite images by learning and labeling regions, roads, and blocks. 75% of the world lacks street addresses [12]. According to the United Nations, this means
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3b42cf10e63863e2546650589f16095
https://doi.org/10.1109/cvprw.2017.192
https://doi.org/10.1109/cvprw.2017.192