An Ant–Based Filtering Random–Finite–Set Approach to Simultaneous Localization and Mapping

Adams, M., Vo, B., Mahler, R. and Mullane, J. (2014). SLAM gets a PHD: New concepts in map estimation, IEEE Robotics and Automation Magazine 21(2): 26-37.10.1109/MRA.2014.2304111Search in Google Scholar

Aghdam, M., Ghasem-Aghaee, N. and Basiri, M. (2009). Text feature selection using ant colony optimization, Expert Systems with Applications 36(3): 6843-6853.10.1016/j.eswa.2008.08.022Search in Google Scholar

Bailey, T., Nieto, J., Guivant, J., Stevens, M. and Nebot, E. (2006). Consistency of the EKF-SLAM algorithm, Proceedings of the 2006 IEEE International Conference on Intelligent Robots and Systems, Beijing, China, pp. 3562-3568.10.1109/IROS.2006.281644Search in Google Scholar

Carlevaris-Bianco, N., Kaess, M. and Eustice, R.M. (2017). Generic node removal for factor-graph SLAM, IEEE Transactions on Robotics 30(6): 1371-1385.10.1109/TRO.2014.2347571Search in Google Scholar

Davison, A., Reid, I., Molton, N. and Stasse, O. (2007). MonoSLAM: Real-time single camera SLAM, IEEE Transactions on Pattern Analysis and Machine Intelligence 29(6): 1052-1067.10.1109/TPAMI.2007.104917431302Search in Google Scholar

Deusch, H., Reuter, S. and Dietmayer, K. (2015). The labeled multi-Bernoulli SLAM filter, IEEE Signal Processing Letters 22(10): 1561-1565.10.1109/LSP.2015.2414274Search in Google Scholar

Dissanayake, G. and Durrant-Whyte, P., Clark, H. and Csorba, M. (2001). A solution to the simultaneous localization and map building (SLAM) problem, IEEE Transactions on Robotic and Automation 17(3): 229-241.10.1109/70.938381Search in Google Scholar

Dorigo, M. and Gambardella, L. (1997). Ant colony system: A cooperative learning approach to the traveling salesman problem, IEEE Transactions on Evolutionary Computation 1(1): 53-66.10.1109/4235.585892Search in Google Scholar

Dorigo, M., Maniezzo, V. and Colorni, A. (1995). The ant system: Optimization by a colony of cooperative agents, Physical Review Letters 75(14): 2686-2689.Search in Google Scholar

Huang, H., Huang, C. and Pei, W. (2015). Solving multi-resource constrained project scheduling problem using ant colony optimization, Journal of Engineering Project and Production Management 5(1): 2-12.10.32738/JEPPM.201501.0002Search in Google Scholar

Leonard, J.J. and Durrant-Whyte, H.F. (1991). Simultaneous map building and localization for an autonomous mobile robot, Proceedings of the IEEE/RSJ International Workshop on Intelligent Robots and Systems IROS’91, Osaka, Japan, pp. 1142-1147.Search in Google Scholar

Mahler, R. (2007). Statistical Multi-Source Multi-Target Information Fusion, Artech House, Boston, MA.Search in Google Scholar

Michael, M., Sebastian, T., Daphne, K. and Ben, W. (2003). FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping that provably converges, Proceedings of the 6th International Joint Conference on Artificial Intelligence, Acapulco, Mexico, pp. 1151-1156.Search in Google Scholar

Montemerlo, M., Thrun, S., Koller, D. and Wegbreit, B. (2002). FastSLAM: A factored solution to the simultaneous localization and mapping problem, Proceedings of the 8th National Conference on Artificial Intelligence, Edmonton, Alberta, Canada, pp. 593-598.Search in Google Scholar

Mullane, J., Vo, B.N., Adams, M.D. and Vo, B.T. (2011). A random-finite-set approach to Bayesian SLAM, IEEE Transactions on Robotics 27(2): 268-282.10.1109/TRO.2010.2101370Search in Google Scholar

Narasimha, K., Kivelevitch, E., Sharma, B. and Kumar, M. (2013). An ant colony optimization technique for solving min-max multi-depot vehicle routing problem, Swarm and Evolutionary Computation 13: 63-73.10.1016/j.swevo.2013.05.005Search in Google Scholar

Rashno, A., Sadri, S. and Sadeghian Nejad, H. (2015). An efficient content-based image retrieval with ant colony optimization feature selection schema based on wavelet and color features, Proceedings of the 2015 International Symposium on Artificial Intelligence and Signal Processing, Mashhad, Iran, pp. 59-64.10.1109/AISP.2015.7123522Search in Google Scholar

Rodriguez-Losada, D., Matia, F., Pedraza, L., Jimenez, A. and Galan, R. (2007). Consistency of SLAM-EKF algorithms for indoor environments, Journal of Intelligent and Robotic Systems 50(4): 375-397.10.1007/s10846-007-9171-8Search in Google Scholar

Shang, G. (2008). Solving weapon-target assignment problems by a new ant colony algorithm, Proceedings of the 2008 IEEE International Symposium on Computational Intelligence and Design, Wuhan, China, pp. 221-224.10.1109/ISCID.2008.28Search in Google Scholar

Taketomi, T., Uchiyama, H. and Ikeda, S. (2017). Visual SLAM algorithms: A survey from 2010 to 2016, IPSJ Transactions on Computer Vision & Applications 9(1): 16-26.10.1186/s41074-017-0027-2Search in Google Scholar

Thrun, S., Burgard, W. and Fox, D. (2005). Probabilistic Robotics, MIT Press, Cambridge, MA.Search in Google Scholar

Viejo, D., Garcia-Rodriguez, J. and Cazorla, M. (2014). Combining visual features and growing neural gas networks for robotic 3D SLAM, Information Sciences 276: 174-185.10.1016/j.ins.2014.02.053Search in Google Scholar

Wang, H., Huang, S., Frese, U. and Dissanayake, G. (2013). The nonlinearity structure of point feature SLAM problems with spherical covariance matrices, Automatica 49(10): 3112-3119.10.1016/j.automatica.2013.07.025Search in Google Scholar

Wilkowski, A., Kornuta, T., Stefa´nczyk, M. and Kasprzak, W. (2016). Efficient generation of 3D surfel maps using RGB-D sensors, International Journal of Applied Mathematics and Computer Science 26(1): 99-122, DOI: 10.1515/amcs-2016-0007.10.1515/amcs-2016-0007Open DOISearch in Google Scholar

Xu, B., Chen, Q., Zhu, J. and Wang, Z. (2010). Ant estimator with application to target tracking, Signal Processing 90(5): 1496-1509.10.1016/j.sigpro.2009.10.020Search in Google Scholar

Xu, B., Xu, H. and Zhu, J. (2011). Ant clustering PHD filter for multiple-target tracking, Applied Soft Computing 11(1): 1074-1086.10.1016/j.asoc.2010.02.007Search in Google Scholar

Zhang, H. (2015). Ant colony optimization for multimode resource-constrained project scheduling, Journal of Management in Engineering 28(2): 150-159.10.1061/(ASCE)ME.1943-5479.0000089Search in Google Scholar

Zhang, Z., Gao, C., Lu, Y., Liu, Y. and Liang, M. (2016). Multi-objective ant colony optimization based on the Physarum-inspired mathematical model for bi-objective traveling salesman problems, PloS ONE 11(1): e0146709.10.1371/journal.pone.0146709470905226751562Search in Google Scholar

Zhu, J., Xu, B., Wang, F. and Wang, Z. (2010). A real-time moving ant estimator for bearings-only tracking, Proceedings of the 1st International Conference on Advances in Swarm Intelligence, Beijing, China, pp. 273-280.10.1007/978-3-642-13495-1_34Search in Google Scholar