Abstract
The problem of SLAM is still a challenging issue. When the number of landmarks increases, the accuracy of the estimated location of the robot decreases. Therefore, current measurement is filtered to avoid wrong landmarks. Then, triangulation is used to update the robot's pose. Simulation results show the success of the proposed algorithm.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 497-498 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781479975426 |
| DOIs | |
| Publication status | Published - 2015 Mar 23 |
| Event | 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States Duration: 2015 Jan 9 → 2015 Jan 12 |
Publication series
| Name | 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 |
|---|
Other
| Other | 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 |
|---|---|
| Country | United States |
| City | Las Vegas |
| Period | 15/1/9 → 15/1/12 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
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Shih, Y. J., Hsu, C-C. J., Wang, W-Y., & Wang, Y. T. (2015). Feature extracted algorithm for simultaneous localization and mapping (SLAM). In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 (pp. 497-498). [7066497] (2015 IEEE International Conference on Consumer Electronics, ICCE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2015.7066497