الگوریتم C-SLAM تطبیقی در محیط دینامیک

[1]     Durrant Whyte., H.F., Uncertain geometry in robotics. IEEE Journal on Robotics and Automation, 4(1), pp.23-31, 1988.

[2]     Smith RC., Cheeseman P., On the representation and estimation of spatial uncertainty. The international journal of Robotics Research, 1986.

[3]     Durrant Whyte., Bailey T., Simultaneous localization and mapping: part I. IEEE robotics & automation magazine, 2006.

[4]     Rocha., Rui Paulo Pinto., Building Volumetric Maps with Cooperative Mobile Robots and Useful Information Sharing: A Distributed Control Approach Based on Enthropy, 2006.

[5]     Andersson LA., Nygards J., On multi-robot map fusion by inter-robot observations. 12th International Conference on Information Fusion, 2009.

[6]     Mehra R., Approaches to adaptive filtering. IEEE Transactions on automatic control, 1972.

[7]     Loebis D., Sutton R., Chudley J., Naeem W., Adaptive tuning of a Kalman filter via fuzzy logic for an intelligent AUV navigation system. Control engineering practice, 2004.

[8]     Wu ZQ., Harris CJ., An adaptive neurofuzzy Kalman filter. InProceedings of IEEE 5th International Fuzzy Systems, 1996.

[9]     Chatterjee A., Matsuno F., A neuro-fuzzy assisted extended Kalman filter-based approach for simultaneous localization and mapping (SLAM) problems. IEEE Transactions on Fuzzy Systems, 2007.

[10] Mahler RP., Multitarget Bayes filtering via first-order multitarget moments. IEEE Transactions on Aerospace and Electronic systems, 2003.

[11] Mahler RP., Statistical multisource-multitarget information fusion. Norwood, MA: Artech House, 2007.

[12] Vo BN., Ma WK., The Gaussian mixture probability hypothesis density filter. IEEE Transactions on signal processing, 2006.

[13] Dissanayake MG., Newman P., Clark S., Durrant-Whyte., Csorba M., A solution to the simultaneous localization and map building (SLAM) problem. IEEE Transactions on robotics and automation, 2001.

[14] Mehra R., On the identification of variances and adaptive Kalman filtering. IEEE Transactions on automatic control, 1970.

[15] Zeugmann Thomas., Pascal Poupart., James Kennedy., Xin Jin., Jiawei Han., Lorenza Saitta., Michele Sebag., et al. Particle Swarm Optimization. In Encyclopedia of Machine Learning, 760–66. Boston, MA: Springer US, 2011.

[16] Bar-Shalom Y., Fortmann TE., Tracking and Data Association. Mathematics in science and engineering, 1988.

[17] Mahler RP., Advances in Statistical Multisource-Multitarget Information Fusion, 2014.

[18] Wang CC., Thorpe C., Thrun S., Hebert M., Durrant-Whyte. Simultaneous localization and mapping and moving object tracking. The International Journal of Robotics Research, 2007.