Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Ching-Lung Su"'
Publikováno v:
2022 IEEE International Conference on Consumer Electronics - Taiwan.
Publikováno v:
2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS).
Publikováno v:
AI4I
The proposed algorithm architecture of deep learning after darknet dropout are porting on embedded evaluation board with artificial intelligence board of Nvidia Jetson TX2. This article uses the post-training results to implement the actual road test
Publikováno v:
ICAIIC
The article proposes pedestrian detection system with edge computing with multi-network integration on embedded vehicle. When camera of lens design in machine learning, the proposal design uses AdaBoost, support vector machine (SVM) and convolutional
Publikováno v:
AIKE
This article proposes advanced driver assistance system (ADAS) from neural network by YOLO v3-tiny on vehicle platform of NXP S32V234 with edge computing to detect pedestrians and knights. The implemented embedded board has limitation to perform a lo
Publikováno v:
ICCE-TW
This paper will develop a driving behavior monitoring system that applies a single near-infrared camera to record the driver, detect facial position and convolutional neural network through image recognition for judging whether the driver fatigues, s
Autor:
Ming-Cong Lu, Ching-Lung Su
Publikováno v:
2018 IEEE International Conference of Safety Produce Informatization (IICSPI).
This paper applies a 180° fisheye automotive camera to design an automatic trunk opener. Comparing to the commonly used infrared sensor, we adopt the vision based image sensor to share the automotive tail camera for reducing the cost of the system.
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
This paper proposes the design and implementation of a low speed autonomous vehicle. The system applies several sensors such as cameras, millimeter wave radars, ultrasonic sensors, and 3D LiDAR to implement the controller of the proposed autonomous v
Publikováno v:
2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW).
Publikováno v:
2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW).
This paper proposes a vehicle blind spot detection (BSD) system to reduce the traffic accident when car was changing lanes on the road. The cameras are installed at the bottom of the left and right side view mirrors. The system reaches 99% vehicle de