Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Cheng Fan"'
Publikováno v:
IEEE Sensors Journal. 21:5070-5081
In this paper, we propose an Image Decomposition Sensor based on Conditional Adversarial Model (CAM). The presented device decomposes intrinsic image into reflectance layer and shadow layer and the Conditional Adversarial Model (CAM) trains the intri
Autor:
Hao-Wen Cheng, Yu-Cheng Fan
Publikováno v:
ICCE-TW
In this paper, we present an image enhancement scheme based on generative adversarial neural network. We use deep learning to decompose the image to obtain the shadow layer and the reflection layer image, and then perform image enhancement for the sh
Publikováno v:
LifeTech
With the rapid development of science and technology, the self-driving car industry is booming, increasing the use of LiDAR, digital cameras and other instruments. This paper proposes to use histogram equalization method combined with neural network
Publikováno v:
ICCE
A new Conditional Generative Adversarial Network architecture the paper proposed, which has two layers of neural networks. The first layer neural network uses the concept of intrinsic image decomposition to train a model that can transfer styles and
Publikováno v:
Journal of Sensors, Vol 2021 (2021)
Recently, self-driving cars became a big challenge in the automobile industry. After the DARPA challenge, which introduced the design of a self-driving system that can be classified as SAR Level 3 or higher levels, driven to focus on self-driving car
Publikováno v:
GCCE
In this paper, point cloud and image feature distribution algorithms are adopted. First, we use the depth information of the LiDAR point cloud to perform object segmentation. Secondly, we use the result of object segmentation to find the ROI (region
Publikováno v:
ICCE-TW
We present a “Self-driving deep learning system based on depth image based rendering and LiDAR point clouds” in this paper. Using the depth image based rendering (DIBR) to obtain complete point clouds, combining with the color image modified by h
Autor:
Yu-Cheng Fan, Sheng-Bi Wang
Publikováno v:
Information; Volume 13; Issue 1; Pages: 18
Information, Vol 13, Iss 18, p 18 (2022)
Information, Vol 13, Iss 18, p 18 (2022)
With the advancement of artificial intelligence, deep learning technology is applied in many fields. The autonomous car system is one of the most important application areas of artificial intelligence. LiDAR (Light Detection and Ranging) is one of th
Publikováno v:
GCCE
Autonomous vehicles use LiDAR (light detection and ranging) to detect distance and also uses artificial intelligence to detect the surrounding environment. Through the results of clustering and neural network output, objects can be identified as pede
Publikováno v:
Advances in Networked-based Information Systems ISBN: 9783030290283
NBiS
NBiS
In the rapid development of autonomous driving technology. Precise detection of objects might assist self-driving cars to drive as safely as human. The object detection is frequently uses point clouds and produces high quality environment color image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c52e6d0e4ce7ef858c230702bac0dfeb
https://doi.org/10.1007/978-3-030-29029-0_8
https://doi.org/10.1007/978-3-030-29029-0_8