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SP-NN: A novel neural network approach for path planning.

S. Li, M. Meng, W. Chen, Y. Li, Z. You, Y. Zhou, L. Sun, H. Liang, K. Jiang, and Q. Guo. ROBIO, page 1355-1360. IEEE, (2007)

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Design of a PDA-based telerobotic system.Z. Lin, M. Meng, W. Chen, H. Liang, and X. Liu. ROBIO, page 1563-1567. IEEE, (2007)Multi-sensor fusion method using kalman filter to improve localization accuracy based on android smart phone.C. Wang, H. Liang, X. Geng, and M. Zhu. ICVES, page 180-184. IEEE, (2014)An improved RRT-based motion planner for autonomous vehicle in cluttered environments.M. Du, J. Chen, P. Zhao, H. Liang, Y. Xin, and T. Mei. ICRA, page 4674-4679. IEEE, (2014)A Multiple Attribute-based Decision Making model for autonomous vehicle in urban environment.J. Chen, P. Zhao, H. Liang, and T. Mei. Intelligent Vehicles Symposium, page 480-485. IEEE, (2014)Moving vehicle detection in dynamical scene using vector quantization.L. Gao, W. Liu, R. Niu, Y. Sun, Y. Xin, and H. Liang. Intelligent Vehicles Symposium, page 725-729. IEEE, (2014)Human-driver speed profile modeling for autonomous vehicle's velocity strategy on curvy paths.X. Geng, H. Liang, H. Xu, B. Yu, and M. Zhu. Intelligent Vehicles Symposium, page 755-760. IEEE, (2016)A Bionic Camera-Based Polarization Navigation Sensor.D. Wang, H. Liang, H. Zhu, and S. Zhang. Sensors, 14 (7): 13006-13023 (2014)A camera-based real-time polarization sensor and its application to mobile robot navigation.S. Zhang, H. Liang, H. Zhu, D. Wang, and B. Yu. ROBIO, page 271-276. IEEE, (2014)Robust lane marking detection under different road conditions.J. Huang, H. Liang, Z. Wang, T. Mei, and Y. Song. ROBIO, page 1753-1758. IEEE, (2013)Design and Implementation of a Fencing Training Robot.H. Liang, T. Mei, and M. Meng. IROS, page 3624-3627. IEEE, (2006)

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SP-NN: A novel neural network approach for path planning.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML SP-NN: A novel neural network approach for path planning.

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SP-NN: A novel neural network approach for path planning.