Abstract
In this paper, the improved upward-looking camera based SLAM is proposed. With the corner features that are highly robust to the illumination change and contain their orientation information, SLAM performance can improve effectively. The illumination properties from the image can be rejected using the retinex algorithm to make the input image less sensitive to the illumination change. In addition, to deal with the correspondence problem between indistinguishable adjacent corner features, the orientation of the corner feature is additionally taken into account. These robust features are used as a landmark for the extended Kalman filter EKF-based SLAM to evaluate the robustness. A series of experiments show the improved results using the proposed scheme.
Original language | English |
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Title of host publication | 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 224-227 |
Number of pages | 4 |
ISBN (Electronic) | 9781467379700 |
DOIs | |
Publication status | Published - 2015 Dec 16 |
Event | 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 - Goyang City, Korea, Republic of Duration: 2015 Oct 28 → 2015 Oct 30 |
Publication series
Name | 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 |
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Other
Other | 12th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2015 |
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Country/Territory | Korea, Republic of |
City | Goyang City |
Period | 15/10/28 → 15/10/30 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- SLAM
- Upward-looking camera
- feature extraction
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction