Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Deok-Jin Lee"'
Publikováno v:
Energies, Vol 16, Iss 20, p 7165 (2023)
The transportation sector is under increasing pressure to reduce greenhouse gas emissions by decarbonizing its operations. One prominent solution that has emerged is the adoption of electric vehicles (EVs). As the electric vehicles market experiences
Externí odkaz:
https://doaj.org/article/ca3481dd679e4c26914372cf67abdbcc
Autor:
Amir Ramezani Dooraki, Deok-Jin Lee
Publikováno v:
Machines, Vol 10, Iss 7, p 500 (2022)
In this paper, we introduce a self-trained controller for autonomous navigation in static and dynamic (with moving walls and nets) challenging environments (including trees, nets, windows, and pipe) using deep reinforcement learning, simultaneously t
Externí odkaz:
https://doaj.org/article/2e7ac53023284f5f8f3666e5c91d2423
Autor:
Ali Barzegar, Deok-Jin Lee
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4764 (2022)
This research study presents a new adaptive attitude and altitude controller for an aerial robot. The proposed controlling approach employs a reinforcement learning-based algorithm to actively estimate the controller parameters of the aerial robot. I
Externí odkaz:
https://doaj.org/article/ead3e29fd26b4d9aa6cfa77e2ce3cb11
Publikováno v:
Journal of Astronomy and Space Sciences, Vol 34, Iss 4, Pp 289-302 (2017)
The key risk analysis technologies for the re-entry of space objects into Earth`s atmosphere are divided into four categories: cataloguing and databases of the re-entry of space objects, lifetime and re-entry trajectory predictions, break-up models a
Externí odkaz:
https://doaj.org/article/42eab81f0d2b41edb86aab630d017a90
Publikováno v:
Sensors, Vol 21, Iss 12, p 3964 (2021)
Three-dimensional object detection utilizing LiDAR point cloud data is an indispensable part of autonomous driving perception systems. Point cloud-based 3D object detection has been a better replacement for higher accuracy than cameras during nightti
Externí odkaz:
https://doaj.org/article/2d49ab50ec63459e8b8d7ac810e391b1
Publikováno v:
Applied Sciences, Vol 11, Iss 8, p 3688 (2021)
In this study, the hardware and software design and implementation of an autonomous electric vehicle are addressed. We aimed to develop an autonomous electric vehicle for path tracking. Control and navigation algorithms are developed and implemented.
Externí odkaz:
https://doaj.org/article/4fe228ae1c0547668518c79ab6ab4ece
Autor:
Oualid Doukhi, Deok-Jin Lee
Publikováno v:
Sensors, Vol 21, Iss 7, p 2534 (2021)
Autonomous navigation and collision avoidance missions represent a significant challenge for robotics systems as they generally operate in dynamic environments that require a high level of autonomy and flexible decision-making capabilities. This chal
Externí odkaz:
https://doaj.org/article/ac1c6906b18449b7bacbf4486b4f4d3e
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2372 (2020)
The purpose of the self-driving car is to minimize the number casualties of traffic accidents. One of the effects of traffic accidents is an improper speed of a car, especially at the road turn. If we can make the anticipation of the road turn, it is
Externí odkaz:
https://doaj.org/article/f3cc271388714a66b09e2864ff6ca9ac
Publikováno v:
International Journal of Aerospace Engineering, Vol 2018 (2018)
This paper provides an effective approach for the prediction and estimation of space debris due to a vehicle breakup during uncontrolled reentry. For an advanced analysis of the time evolution of space debris dispersion, new efficient computational a
Externí odkaz:
https://doaj.org/article/505890735bb542558ad47581bf59aec5
Autor:
Sabir Hossain, Deok-jin Lee
Publikováno v:
Sensors, Vol 19, Iss 15, p 3371 (2019)
In recent years, demand has been increasing for target detection and tracking from aerial imagery via drones using onboard powered sensors and devices. We propose a very effective method for this application based on a deep learning framework. A stat
Externí odkaz:
https://doaj.org/article/feff45c3429a44faa1557d06f2830a4e