Introducing PIVOT: Predictive Incremental Variable Ordering Tactic for Efficient Belief Space Planning

Author:

Elimelech Khen,Indelman Vadim

Publisher

Springer International Publishing

Reference19 articles.

1. Agarwal, P., Olson, E.: Variable reordering strategies for SLAM. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3844–3850. IEEE (2012)

2. Bonet, B., Geffner, H.: Planning with incomplete information as heuristic search in belief space. In: International Conference on Artificial Intelligence Planning Systems, pp. 52–61. AAAI Press (2000)

3. Chaves, S.M., Eustice, R.M.: Efficient planning with the Bayes tree for active SLAM. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4664–4671. IEEE (2016)

4. Davis, T.A., Gilbert, J.R., Larimore, S.I., Ng, E.G.: A column approximate minimum degree ordering algorithm. ACM Trans. Math. Softw. 30(3), 353–376 (2004)

5. Dellaert, F.: Factor graphs and GTSAM: a hands-on introduction. Technical report GT-RIM-CP&R-2012-002, Georgia Institute of Technology, September 2012

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