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 |
Other
| Other | 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 |
|---|---|
| Country | United States |
| City | Las Vegas |
| Period | 15/1/9 → 15/1/12 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
Cite this
Feature extracted algorithm for simultaneous localization and mapping (SLAM). / Shih, Yan Jhang; Hsu, Chen Chien; Wang, Wei Yen; Wang, Yin Tien.
2015 IEEE International Conference on Consumer Electronics, ICCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 497-498 7066497.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Feature extracted algorithm for simultaneous localization and mapping (SLAM)
AU - Shih, Yan Jhang
AU - Hsu, Chen Chien
AU - Wang, Wei Yen
AU - Wang, Yin Tien
PY - 2015/3/23
Y1 - 2015/3/23
N2 - 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.
AB - 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.
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U2 - 10.1109/ICCE.2015.7066497
DO - 10.1109/ICCE.2015.7066497
M3 - Conference contribution
SP - 497
EP - 498
BT - 2015 IEEE International Conference on Consumer Electronics, ICCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -