Abstract
The GNSS based positioning has been widely used for the determination of land vehicle position because it can provide the position and velocity with an accuracy that is appropriate for land vehicle applications. However, the GNSS based positioning is unable to ensure the continuity and the accuracy in particular land vehicle-driving environments such as an urban canyon and tunnel. To solve this problem, it needs to integrate the GNSS and additional sensors that can be to compensate for the error of GNSS based positioning. Therefore, in this study, we developed a GNSS and a motion sensor integrated positioning algorithm to overcome the limitation of the GNSS based positioning. In addition, the performance evaluation of the proposed algorithm was conducted using the data from real test-driving.
| Original language | English |
|---|---|
| Title of host publication | ICTC 2020 - 11th International Conference on ICT Convergence |
| Subtitle of host publication | Data, Network, and AI in the Age of Untact |
| Publisher | IEEE Computer Society |
| Pages | 1592-1595 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781728167589 |
| DOIs | |
| State | Published - 21 Oct 2020 |
| Event | 11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of Duration: 21 Oct 2020 → 23 Oct 2020 |
Publication series
| Name | International Conference on ICT Convergence |
|---|---|
| Volume | 2020-October |
| ISSN (Print) | 2162-1233 |
| ISSN (Electronic) | 2162-1241 |
Conference
| Conference | 11th International Conference on Information and Communication Technology Convergence, ICTC 2020 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 21/10/20 → 23/10/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- GNSS
- Land Vehicle Monitoring
- Motion Sensor
- Positioning