Name
Title | ||
|---|---|---|
Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning. |
Abstract | ||
|---|---|---|
In this paper, we propose a visualization method for driving behavior that helps people to recognize distinctive driving behavior patterns in continuous driving behavior data. Driving behavior can be measured using various types of sensors connected to a control area network. The measured multi-dimensional time series data are called driving behavior data. In many cases, each dimension of the time... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TITS.2017.2649541 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Feature extraction,Data visualization,Image color analysis,Sensors,Data mining,Machine learning,Time series analysis | Time series,Computer vision,Data visualization,Autoencoder,Color space,Visualization,Feature extraction,Artificial intelligence,RGB color model,Engineering,Deep learning | Journal |
Volume | Issue | ISSN |
18 | 9 | 1524-9050 |
Citations | PageRank | References |
13 | 0.71 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hailong Liu | 1 | 39 | 7.57 |
| Tadahiro Taniguchi | 2 | 201 | 33.56 |
| Yusuke Tanaka | 3 | 15 | 1.10 |
| Kazuhito Takenaka | 4 | 73 | 7.41 |
| Takashi Bando | 5 | 123 | 14.55 |