Comparison Between Filtering Estimation with Evidence and Prediction Filtering Without Evidence to Predict a Robot Localization States

Author:

Boudnaya Jaouad,Cherrat Marouan,Gharib Ilham,Mkhida Abdelhak

Publisher

Springer International Publishing

Reference12 articles.

1. Advances in Intelligent Systems and Computing;J Boudnaya,2021

2. Baltzakis, H., Trahanas, P.: Hybrid mobile robot localization using switching state-space models. In: Proceedings of the 2002 IEEE International Conference on Robotics & Automation, Washington, pp. 366–373 (2002)

3. Aycard, O., Laroche, P., Charpillet, F.: Mobile robot localization in dynamic environments using places recognition. In: Proceedings of the 1998 IEEE International Conference on Robotics & Automation, Belgium, pp. 3135–3140 (1998)

4. Oishi, S., Inoue, Y., Miura, J., Tanaka, S.: SeqSLAM++: view-based robot localization and navigation. Robot. Auton. Syst. 112, 13–21 (2019)

5. Colle, E., Galerne, S.: A robust set approach for mobile robot localization in ambient environment. Auton. Robot. 43(3), 557–573 (2019). https://doi.org/10.1007/s10514-018-9727-4.hal-01758277

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