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 |
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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 (Print) | 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 |
Other
Other | 15th International Conference on Control, Automation and Systems, ICCAS 2015 |
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Country/Territory | Korea, Republic of |
City | Busan |
Period | 15/10/13 → 15/10/16 |
Keywords
- Big data
- Car-Slip
- Extended Kalman Filter
- NoSQL
ASJC Scopus subject areas
- Control and Systems Engineering