The Convex Uncertain Voronoi Diagram for Safe Multi-Robot Multi-Target Tracking Under Localization Uncertainty-Reference-Cited by-同舟云学术

The Convex Uncertain Voronoi Diagram for Safe Multi-Robot Multi-Target Tracking Under Localization Uncertainty

Published:2023-11-22 Issue:4 Volume:109 Page:
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Chen Jun,Dames Philip^ORCID

Funder

Division of Information and Intelligent Systems

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s10846-023-01986-0.pdf

Reference53 articles.

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3. Blackman, S.S.: Multiple hypothesis tracking for multiple target tracking. IEEE Aerosp. Electron. Syst. Mag. 19(1), 5–18 (2004). https://doi.org/10.1109/MAES.2004.1263228

4. Särkkä, S., Vehtari, A., Lampinen, J.: Rao-blackwellized particle filter for multiple target tracking. Inf. Fusion. 8(1), 2–15 (2007). https://doi.org/10.1016/j.inffus.2005.09.009

5. Mahler, R.P.: Multitarget bayes filtering via first-order multitarget moments. IEEE Trans. Aerosp. Electron. Syst. 39(4), 1152–1178 (2003). https://doi.org/10.1109/TAES.2003.1261119