跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
在 國立陽明交通大學研發優勢分析平台 搜尋內容
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
Multi-dimensional underwater point cloud detection based on deep learning
Chia Ming Tsai
, Yi Horng Lai
, Yung Da Sun
, Yu Jen Chung
,
Jau Woei Perng
*
*
此作品的通信作者
電控工程研究所
研究成果
:
Article
›
同行評審
13
引文 斯高帕斯(Scopus)
總覽
指紋
指紋
深入研究「Multi-dimensional underwater point cloud detection based on deep learning」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Deep Learning
100%
Tire
100%
Point Cloud
100%
Cloud Detection
100%
Network Architecture
50%
Point Cloud Data
50%
Deep Learning Methods
25%
3D Point Cloud
25%
Three-dimensional (3D)
25%
Detection Technology
25%
Training Data
25%
Attenuation
25%
Good Accuracy
25%
2D Image
25%
Preprocessing Techniques
25%
3D Object Detection
25%
Electromagnetic Signal
25%
Three-dimensional Method
25%
Remove Noise
25%
Acoustic Sensor
25%
Sensing Function
25%
PointNet
25%
Underwater Applications
25%
Faster R-CNN
25%
Two-dimensional Method
25%
Bird's Eye View Image
25%
YOLOv3 Network
25%
Two-dimensional Detection
25%
Engineering
Point Cloud
100%
Deep Learning Method
100%
Raw Data
28%
Dimensional Method
28%
Two Dimensional
14%
Processing Step
14%
Good Accuracy
14%
Sensing Function
14%
File Format
14%
Convolutional Neural Network
14%
Physics
Deep Learning Method
100%
Electromagnetism
50%
Convolutional Neural Network
50%
Earth and Planetary Sciences
Preprocessing
100%
Electromagnetism
100%
Chemical Engineering
Deep Learning Method
100%