Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Dayoung Chun"'
Publikováno v:
IEEE Access, Vol 11, Pp 52812-52823 (2023)
The success of research using convolutional neural network (CNN)-based camera sensor processing for autonomous driving has accelerated the development of autonomous driving vehicles. Since autonomous driving algorithms require high-performance comput
Externí odkaz:
https://doaj.org/article/4afaf58e4898418fa9e7706b9746d753
Publikováno v:
IEEE Access, Vol 9, Pp 120358-120366 (2021)
In recent times, numerous convolutional neural network (CNN) based detection models have been proposed and have shown excellent performance. However, because these models are generally developed to detect objects in class units (e.g., person, car), a
Externí odkaz:
https://doaj.org/article/979e58eb78fd4eac952a135ef970360a
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 11:255-261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71d41b0776949e64166c52ebf83b9a21
https://doi.org/10.5573/ieiespc.2022.11.4.255
https://doi.org/10.5573/ieiespc.2022.11.4.255
Publikováno v:
2023 International Conference on Electronics, Information, and Communication (ICEIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::916bde71c8052a986bf0b190d91b2d8e
https://doi.org/10.1109/iceic57457.2023.10049938
https://doi.org/10.1109/iceic57457.2023.10049938
Publikováno v:
IEEE Access, Vol 9, Pp 120358-120366 (2021)
In recent times, numerous convolutional neural network (CNN) based detection models have been proposed and have shown excellent performance. However, because these models are generally developed to detect objects in class units (e.g., person, car), a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4db293a9b42b16b61638a3fb02875969
https://doi.org/10.1109/access.2021.3108776
https://doi.org/10.1109/access.2021.3108776
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 9:1-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b2ed6f96a406194b8e618bfb8cc9f6d
https://doi.org/10.5573/ieiespc.2020.9.1.001
https://doi.org/10.5573/ieiespc.2020.9.1.001
Publikováno v:
AICAS
For self-driving cars that operate based on battery-generated power, detection and control are commonly performed in embedded systems to reduce power consumption. To drive safely without driver intervention, it is essential to operate object detectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::204fbf1125e9a4a9e344de526477a18b
https://doi.org/10.1109/aicas48895.2020.9073907
https://doi.org/10.1109/aicas48895.2020.9073907
Publikováno v:
2019 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC).
A development of deep learning has accelerated research into autonomous driving. Especially, deep-learning based object detection has been actively studied and has become an essential technology for autonomous driving. In this paper, the representati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58d70bdcdad467625d5bfa925cd63619
https://doi.org/10.1109/itc-cscc.2019.8793291
https://doi.org/10.1109/itc-cscc.2019.8793291
Publikováno v:
ICCV
The use of object detection algorithms is becoming increasingly important in autonomous vehicles, and object detection at high accuracy and a fast inference speed is essential for safe autonomous driving. A false positive (FP) from a false localizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9cb1ce2bc7cf2c9e400151e35709bd5
