Extended Kalman Filter (EKF)-Based Local SLAM in Dynamic Environments: A Framework-Reference-Cited by-同舟云学术

Extended Kalman Filter (EKF)-Based Local SLAM in Dynamic Environments: A Framework

Published:2015-08-08 Issue: Volume: Page:459-469
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Todoran Horaţiu George,Bader Markus

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-21290-6_46

Reference7 articles.

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2. Nüchter, A., Lingemann, K., Hertzberg, J., Surmann, H.: 6D SLAM—3D mapping outdoor environments. J. Field Robot. 24, 699–722 (2007)

3. Rusu, R.B., Sucan, I.A., Gerkey, B., Chitta, S., Beetz, M., Kavraki, L.E.: Real-time perception-guided motion planning for a personal robot. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4245–4252 (2009)

4. Choudhary, S., Trevor, A.J.B., Christensen, H.I., Dellaert, F.: SLAM with object discovery, modeling and mapping. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1018–1025 (2014)

5. Montesano, L.: Detection and Tracking of Moving Objects from a Mobile Platform. Application to Navigation and Multi-robot Localization. University of Zaragoza, Zaragoza (2006)

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