Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Seok-Cheol Kee"'
Autor:
Soo-Yong Park, Seok-Cheol Kee
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 10, p 452 (2024)
The incidence of right-turning pedestrian accidents is increasing in South Korea. Most of the accidents occur when a large vehicle is turning right, and the main cause of the accidents was found to be the driver’s limited field of vision. After the
Externí odkaz:
https://doaj.org/article/c44510fcfa094533977b7054edaa6f36
Autor:
Keonil Kim, Seok-Cheol Kee
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 7, p 311 (2024)
This study introduces an innovative Teleoperated Driving (ToD) system integrated with virtual twin technology using the MORAI simulator. The system minimizes the need for extensive video data transmission by utilizing text-based vehicle information,
Externí odkaz:
https://doaj.org/article/8b6a2b012d8841a9b47c0188eec9ef28
Autor:
Dongkyu Lee, Seok-Cheol Kee
Publikováno v:
IEEE Access, Vol 10, Pp 132349-132362 (2022)
In autonomous driving, the camera and LiDAR are complementary to each other through their strengths, and many autonomous vehicles and robot recognition systems utilize cameras and LiDAR. In order to effectively fuse the data of the camera and LiDAR a
Externí odkaz:
https://doaj.org/article/3f2ad27f9d614e999e5939f10e9d8aab
Autor:
Sang-Sun Yun, Seok-Cheol Kee
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7624 (2023)
This paper analyzes the cause of electric vehicle battery fires. The fundamental cause is attributed to a low cell balance current, and it is proven that the variation in the battery’s internal voltage due to temperature change is the decisive reas
Externí odkaz:
https://doaj.org/article/39c834b2df75433c82b9c8baf9b38106
Autor:
Youn-Ho Choi, Seok-Cheol Kee
Publikováno v:
Sensors, Vol 23, Iss 2, p 845 (2023)
It is important to estimate the exact depth from 2D images, and many studies have been conducted for a long period of time to solve depth estimation problems. Recently, as research on estimating depth from monocular camera images based on deep learni
Externí odkaz:
https://doaj.org/article/4c639406a6374a2a8372202c887b38c5
Autor:
Sang-Sun Yun, Seok-Cheol Kee
Publikováno v:
Batteries, Vol 9, Iss 1, p 22 (2022)
Batteries are used in various combinations in various fields. Research on single-cell batteries is well underway and is approaching a stabilization phase. However, problems caused by battery combinations are still insufficiently studied. The purpose
Externí odkaz:
https://doaj.org/article/4e306c99db994d5588c5476a820194cf
Publikováno v:
Sensors, Vol 22, Iss 5, p 1986 (2022)
In this paper, I propose a bird eye view image detection method for parking areas and collision risk areas at the same time in parking situations. Deep learning algorithms using area detection and semantic segmentation were used. The main architectur
Externí odkaz:
https://doaj.org/article/f445b9e86c2d4fcaa84d3cd56b61b6b9
Publikováno v:
Sensors, Vol 21, Iss 22, p 7623 (2021)
Although numerous road segmentation studies have utilized vision data, obtaining robust classification is still challenging due to vision sensor noise and target object deformation. Long-distance images are still problematic because of blur and low r
Externí odkaz:
https://doaj.org/article/6a374b9731d0449ebff8b0f42cd979a4
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 8047 (2021)
In this work, a study was carried out to estimate a look-up table (LUT) that converts a camera image plane to a birds eye view (BEV) plane using a single camera. The traditional camera pose estimation fields require high costs in researching and manu
Externí odkaz:
https://doaj.org/article/86869db0c87f4b709a51e4bf8aa78bdc
Autor:
Changhyeon Park, Seok-Cheol Kee
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 3909 (2021)
In this paper, an urban-based path planning algorithm that considered multiple obstacles and road constraints in a university campus environment with an autonomous micro electric vehicle (micro-EV) is studied. Typical path planning algorithms, such a
Externí odkaz:
https://doaj.org/article/2c77f9c4975e4fb99c855908f824fe01