Feature extracted algorithm for simultaneous localization and mapping (SLAM)

Yan Jhang Shih; Chen Chien Hsu; Wei Yen Wang; Yin Tien Wang

doi:10.1109/ICCE.2015.7066497

Feature extracted algorithm for simultaneous localization and mapping (SLAM)

Yan Jhang Shih, Chen Chien Hsu, Wei Yen Wang, Yin Tien Wang

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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	https://doi.org/10.1109/ICCE.2015.7066497
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/Territory	United States
City	Las Vegas
Period	2015/01/09 → 2015/01/12

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1109/ICCE.2015.7066497

Cite this

Shih, Y. J., Hsu, C. C., 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). Article 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

Feature extracted algorithm for simultaneous localization and mapping (SLAM). / Shih, Yan Jhang; Hsu, Chen Chien ; Wang, Wei Yen et al.
2015 IEEE International Conference on Consumer Electronics, ICCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 497-498 7066497 (2015 IEEE International Conference on Consumer Electronics, ICCE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shih, YJ, Hsu, CC , Wang, WY & Wang, YT 2015, Feature extracted algorithm for simultaneous localization and mapping (SLAM). in 2015 IEEE International Conference on Consumer Electronics, ICCE 2015., 7066497, 2015 IEEE International Conference on Consumer Electronics, ICCE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 497-498, 2015 IEEE International Conference on Consumer Electronics, ICCE 2015, Las Vegas, United States, 2015/01/09. https://doi.org/10.1109/ICCE.2015.7066497

Shih YJ, Hsu CC , Wang WY, Wang YT. Feature extracted algorithm for simultaneous localization and mapping (SLAM). In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 497-498. 7066497. (2015 IEEE International Conference on Consumer Electronics, ICCE 2015). doi: 10.1109/ICCE.2015.7066497

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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.",

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Feature extracted algorithm for simultaneous localization and mapping (SLAM)

Abstract

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Other

ASJC Scopus subject areas

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