Searching and tracking people with cooperative mobile robots
Author:
Funder
Spanish Ministry of Science and Innovation
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/article/10.1007/s10514-017-9681-6/fulltext.html
Reference42 articles.
1. Ahmad, A., & Lima, P. (2013). Multi-robot cooperative spherical-object tracking in 3D space based on particle filters. Robotics and Autonomous Systems, 61(10), 1084–1093. In selected papers from the 5th european conference on mobile robots (ECMR 2011).
2. Amor-Martinez, A., Ruiz, A., Moreno-Noguer, F., & Sanfeliu, A. (2014). On-board Real-time Pose Estimation for UAVs using deformable visual contour registration. In Proceedings of the IEEE international conference in robotics and automation (ICRA).
3. Arras, K. O., Mozos, O. M., & Burgard, W. (2007). Using boosted features for the detection of people in 2D range data. In Proceedings of the IEEE international conference on robotics and automation (ICRA) (pp. 3402–3407).
4. Arulampalam, M., Maskell, S., Gordon, N., & Clapp, T. (2002). A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking. IEEE Transactions on Signal Processing, 50(2), 174–188.
5. Blackman, S. S. (2004). Multiple hypothesis tracking for multiple target tracking. IEEE Aerospace and Electronic Systems Magazine, 19(1), 5–18.
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