Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Jaerock Kwon"'
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4351 (2024)
Accurately identifying human key points is crucial for various applications, including activity recognition, pose estimation, and gait analysis. This study introduces a high-resolution dataset formed via the VICON motion capture system and three dive
Externí odkaz:
https://doaj.org/article/6f683d96db624253ad3bd02bf8a6dc62
Publikováno v:
Sensors, Vol 24, Iss 8, p 2487 (2024)
This research presents a comprehensive comparative analysis of SLAM algorithms and Deep Neural Network (DNN)-based Behavior Cloning (BC) navigation in outdoor agricultural environments. The study categorizes SLAM algorithms into laser-based and visio
Externí odkaz:
https://doaj.org/article/7730d1862aac4a8eb1133f4591f54c26
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S950- (2023)
Externí odkaz:
https://doaj.org/article/19901e92434942258a7b80337f8df034
Publikováno v:
IEEE Access, Vol 11, Pp 136706-136725 (2023)
Autonomous vehicles face challenges in ensuring cyber-physical security due to their reliance on image data from cameras processed by machine learning. These algorithms, however, are vulnerable to anomalies in the imagery, leading to decreased recogn
Externí odkaz:
https://doaj.org/article/ba03e588114740feb7ec04204e87ffb9
Publikováno v:
IEEE Access, Vol 11, Pp 16951-16963 (2023)
Vision-based autonomous driving is rapidly growing. There are, however, presently no agreed-upon metrics for assessing how well deep neural network (DNN) models perform in driving. To compare novel approaches and architectures to existing ones, some
Externí odkaz:
https://doaj.org/article/b144e335acce4b2a995210fe1f5597df
Publikováno v:
IEEE Access, Vol 11, Pp 14752-14777 (2023)
Automated vehicles are a revolutionary step in mobility, providing a safe and convenient riding experience while keeping the human-driving task minimal to none. Therefore, these intelligent vehicles are equipped with sophisticated perception sensors
Externí odkaz:
https://doaj.org/article/acd8a97a359a43738b5c36cafff75ab7
Publikováno v:
IEEE Access, Vol 10, Pp 33771-33786 (2022)
The use of high-quality data is required to complete the job of lateral control utilizing Behavioral Cloning (BC) through an End-to-End (E2E) learning system. The majority of E2E learning systems gather this high-quality data all at once before begin
Externí odkaz:
https://doaj.org/article/35506c979e5c4904898de48c04fe2a12
Publikováno v:
IEEE Access, Vol 10, Pp 88117-88126 (2022)
The physics-informed neural network (PINN) has drawn much attention as it can reduce training data size and eliminate the need for physics equation identification. This paper presents the implementation of a PINN with adaptive normalization in the lo
Externí odkaz:
https://doaj.org/article/a8dbd516babd4a23a80517cfd2fde952
Publikováno v:
IEEE Access, Vol 7, Pp 59357-59368 (2019)
With recent advances in robotics along with sensor technologies, robots have richer features and can be used in more diverse applications. However, onboard microcontrollers in robots often take full responsibility for processing data acquired from se
Externí odkaz:
https://doaj.org/article/05bae0b2a4e64d499040f6b78ee9676f
Publikováno v:
Energies, Vol 15, Iss 15, p 5539 (2022)
The identification of fault types and their locations is crucial for power system protection/operation when a fault occurs in the lines. In general, this involves a human-in-the-loop analysis to capture the transient voltage and current signals using
Externí odkaz:
https://doaj.org/article/f84aab4effab4edd80799f50e8ccf726