Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chulhoon Jang"'
Publikováno v:
IEEE Access, Vol 7, Pp 92791-92804 (2019)
An Around View Monitor (AVM) is widely used as one of the perception sensors for automated parking systems. By applying semantic segmentation based on a deep learning approach, the AVM can detect two essential elements for automated parking systems:
Externí odkaz:
https://doaj.org/article/5aed2d9c24944b44be84d45bfb392283
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:777-790
An automated parking system allows drivers to park cars free of stress and collisions in parking lots. Most commercial systems use ultrasonic sensors and require a scanning process to search for a vacant parking space between two adjacent vehicles. I
Autor:
Donghyuk Jung, Manbae Han, Myoungho Sunwoo, Chulhoon Jang, Yuhyeok Jo, Joon-Hyuk Chang, Inyoung Hwang
Publikováno v:
International Journal of Engine Research. 22:815-826
Low-pressure cooled exhaust gas recirculation is one of the most promising technologies for improving fuel efficiency of turbocharged gasoline direct injection engines. To realize the beneficial effects of the low-pressure cooled exhaust gas recircul
Publikováno v:
IEEE Access, Vol 7, Pp 92791-92804 (2019)
An Around View Monitor (AVM) is widely used as one of the perception sensors for automated parking systems. By applying semantic segmentation based on a deep learning approach, the AVM can detect two essential elements for automated parking systems:
Autor:
Chulhoon Jang, Myoungho Sunwoo
Publikováno v:
Machine Vision and Applications. 30:309-319
An auto-parking system is one of the promising technologies to reduce accidents and enhance driver convenience in parking lots. To accomplish collision-free parking, precise and robust parking space detection is required. However, harsh conditions su
Publikováno v:
Expert Systems with Applications. 88:290-304
Traffic light recognition is being intensively researched for the purpose of reducing traffic accidents at intersections and realizing autonomous driving. However, conventional vision-based approaches have several limitations due to full image scanni
Publikováno v:
Expert Systems with Applications. 167:113861
An intelligent vehicle must identify the exact position and class of the surrounding object in various situations to consider the interaction with them. For this reason, the light detection and range sensor, called LiDAR, is widely used in intelligen
Publikováno v:
International Journal of Automotive Technology. 18:147-156
Sensor technologies have been innovated and enhanced rapidly for highly automated vehicle and advanced driver assistance systems (ADAS) in automotive industry; however, in order to adopt sensors into mass production vehicle in near future, various re
Publikováno v:
Transactions of the Korean Society of Automotive Engineers. 24:127-136
The camera based object detection systems should satisfy the recognition performance as well as real-time constraints. Particularly, in safety-critical systems such as Autonomous Emergency Braking (AEB), the real-time constraints significantly affect
Publikováno v:
IEEE Transactions on Industrial Electronics. 62:5119-5132
Part I of this paper proposed a development process and a system platform for the development of autonomous cars based on a distributed system architecture. The proposed development methodology enabled the design and development of an autonomous car