Zobrazeno 1 - 10
of 263
pro vyhledávání: '"Lee, Heeseok"'
Autor:
Popov, Alexander, Gebhardt, Patrik, Chen, Ke, Oldja, Ryan, Lee, Heeseok, Murray, Shane, Bhargava, Ruchi, Smolyanskiy, Nikolai
Detecting obstacles is crucial for safe and efficient autonomous driving. To this end, we present NVRadarNet, a deep neural network (DNN) that detects dynamic obstacles and drivable free space using automotive RADAR sensors. The network utilizes temp
Externí odkaz:
http://arxiv.org/abs/2209.14499
Autor:
Yoo, Seungwoo, Lee, Heeseok, Myeong, Heesoo, Yun, Sungrack, Park, Hyoungwoo, Cho, Janghoon, Kim, Duck Hoon
In autonomous driving, detecting reliable and accurate lane marker positions is a crucial yet challenging task. The conventional approaches for the lane marker detection problem perform a pixel-level dense prediction task followed by sophisticated po
Externí odkaz:
http://arxiv.org/abs/2005.08630
Autor:
Lee, Heeseok.
Well distributed data can dramatically improve the efficiency and effectiveness of the use of distributed database systems to satisfy geographically dispersed data processing demands. Among several issues related to distribution design in distributed
Externí odkaz:
http://hdl.handle.net/10150/185435
Autor:
Kim, Sulim, Lee, Heeseok
Publikováno v:
In Procedia Computer Science 2022 199:1332-1339
Publikováno v:
Internet Research, 2020, Vol. 30, Issue 5, pp. 1329-1351.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/INTR-07-2019-0285
Publikováno v:
In Decision Support Systems August 2020 135
Publikováno v:
In International Journal of Information Management April 2020 51
Publikováno v:
In Information & Management March 2020 57(2)
Publikováno v:
Journal of Knowledge Management, 2019, Vol. 23, Issue 8, pp. 1523-1542.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JKM-11-2018-0705
Publikováno v:
In International Journal of Information Management December 2019 49:411-423