Abstract
In this paper, we propose a system storing sensor data generated from the vehicle using Big data system and analyzing real-time sensor output to predict the car slip. A large amount of data will be distributed and stored by MongoDB which is one of NoSQL Database, and analyzed to control the vehicle by Hadoop Map/Reduce. The proposed system can be applied to general vehicle and also to the field of driverless vehicle or driverless vehicle platooning.
| Original language | English |
|---|---|
| Title of host publication | ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 592-596 |
| Number of pages | 5 |
| ISBN (Electronic) | 9788993215090 |
| DOIs | |
| Publication status | Published - 2015 Dec 23 |
| Event | 15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of Duration: 2015 Oct 13 → 2015 Oct 16 |
Publication series
| Name | ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings |
|---|
Other
| Other | 15th International Conference on Control, Automation and Systems, ICCAS 2015 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Busan |
| Period | 15/10/13 → 15/10/16 |
Bibliographical note
Publisher Copyright:© 2015 Institute of Control, Robotics and Systems - ICROS.
Keywords
- Big data
- Car-Slip
- Extended Kalman Filter
- NoSQL
ASJC Scopus subject areas
- Control and Systems Engineering
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