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Road-objects tracking for autonomous driving using lidar and radar fusion

   | 10 sie 2020

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[1] W. Farag, “Traffic signs classification by deep learning for advanced driving assistance systems”, Intelligent Decision Technologies, IOS Press, vol. 13, no.3, pp. 215-231, (2019).10.3233/IDT-180064Search in Google Scholar

[2] W. Farag and Z. Saleh, “Road Lane-Lines Detection Real-Time for Advanced Driving Assistance Systems”, Intern.Conf.on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT’18), Bahrain, 18-20 November, (2018).10.1109/3ICT.2018.8855797Search in Google Scholar

[3] W. Farag, “A Comprehensive Real-Time Road-Lanes Tracking Technique for Autonomous Driving”, International Journal of Computing and Digital Systems (IJCDS), vol. 9 (3), pp. 349-362, (2020).10.12785/ijcds/090302Search in Google Scholar

[4] W. Farag and Z. Saleh, “Behavior Cloning for Autonomous Driving using Convolutional Neural Networks”, Intern. Conf. on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT’18), Bahrain, 18-20 November, (2018).10.1109/3ICT.2018.8855753Search in Google Scholar

[5] W. Farag, “Recognition of traffic signs by convolutional neural nets for self-driving vehicles”, International Journal of Knowledge-based and Intelligent Engineering Systems, IOS Press, vol. 22, no: 3, pp. 205 214, (2018).Search in Google Scholar

[6] W. Farag and Z. Saleh, “Tuning of PID Track Followers for Autonomous Driving”, Intern.Conf.on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT’18), Bahrain, 18-20 November, (2018).10.1109/3ICT.2018.8855773Search in Google Scholar

[7] W. Farag, “Complex Trajectory Tracking Using PID Control for Autonomous Driving”, International Journal of Intelligent Transportation Systems Research, Springer, September, (2019).10.1007/s13177-019-00204-2Search in Google Scholar

[8] W. Farag, “Complex-Track Following Real-Time Using Model -Based Predictive Control”, International Journal of Intelligent Transportation Systems Research, Springer, June, (2020).10.1007/s13177-020-00226-1Search in Google Scholar

[9] W. Farag and Z.Saleh, “An Advanced Road-Lanes Finding Scheme for Self-Driving Cars”, 2nd Smart Cities Symposium (SCS’19), IET Digital Library, Bahrain, 24-26 March, (2019).10.1049/cp.2019.0221Search in Google Scholar

[10] W. Farag, “Safe-driving cloning by deep learning for autonomous cars”, International Journal of Advanced Mechatronic Systems, Inderscience Publishers, vol. 7, no.6, pp. 390-397, (2019).10.1504/IJAMECHS.2017.10020695Search in Google Scholar

[11] W. Farag, “Cloning Safe Driving Behavior for Self-Driving Cars using Convolutional Neural Networks”, Recent Patents on Computer Science, Bentham Science Publishers, The Netherlands, vol. 12, no. 2, pp. 120-127(8), (2019).10.2174/2213275911666181106160002Search in Google Scholar

[12] W. Farag and Z. Saleh, “An Advanced Vehicle Detection and Tracking Scheme for Self-Driving Cars”, 2nd Smart Cities Symposium (SCS19), IET Digital Library, Bahrain, 24-26 March, (2019).10.1049/cp.2019.0222Search in Google Scholar

[13] E. Yurtsever, J. Lambert, A. Carballo and K. Takeda, “A Survey of Autonomous Driving: Common Practices and Emerging Technologies,”,, rXiv:1906.05113v2 [cs.RO] 6 January 2020.Search in Google Scholar

[14] E. Che, J. Jung, M. J. And and Olsen, “Object Recognition, Segmentation, and Classification of Mobile Laser Scanning Point Clouds: A State of the Art Review”, Sensors 2019, 19, 810; DOI:10.3390/s19040810.10.3390/s19040810641274430781508Search in Google Scholar

[15] Y. Xie, J. Tian and X. Zhu, “A Review of Point Cloud Semantic Segmentation,”,, rXiv:1908.08854v2[cs.CV] 3 Sep 2019.Search in Google Scholar

[16] P. Lidman and S. Luu, “Clustering, shape extraction and velocity estimation applied to radar detections”, M. Sc. thesis, Dept.of Elect.Eng., Chalmers University of Technology, Gothenburg, Sweden 2018.Search in Google Scholar

[17] W. Farag, “Real-Time Detection of Road Lane-Lines for Autonomous Driving”, Recent Advances Computer Science and Communications, Betham Science, pp. 265 274, vol. 13-2, 2020.10.2174/2213275912666190126095547Search in Google Scholar

[18] W. Farag, “A Comprehensive Vehicle-Detection-and-Tracking Technique for Autonomous Driving”, International Journal of Computing and Digital Systems (IJCDS), vol. 9 (4), pp. 567-580, (2020).10.12785/ijcds/090405Search in Google Scholar

[19] K. Dietmayer, D. Kellner and J. Klappstein, “Grid-based dbscan for clustering extended objects radar data”, IEEE Intelligent Vehicles Symposium, Alcala de Henares, Spain, June 2012.Search in Google Scholar

[20] M. Fischler and R. Bolles, “Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography”, Comm. ACM, 24(6): 381395, June 1981.10.1145/358669.358692Search in Google Scholar

[21] D. Gohring, M. Wang, M. Schnurmacher and T. Ganjineh, “Radar/lidar sensor fusion for car-following on highways”, IEEE Int. Conf. Autom. Robot. Appl., pp. 407412, 2011.Search in Google Scholar

[22] N. Kaempchen, K. C. Fuerstenberg, A. G. Skibicki and K. C. Dietmayer, “Sensor fusion for multiple automotive active safety and comfort applications”, J. Valldorf and W. Gessner, (editors), Advanced Microsystems for Automotive Applications, vol. 2, pages 137163.Springer, 2004.Search in Google Scholar

[23] P. Zarchan and H. Muso, “Fundamentals of Kalman Filtering: A Practical Approach”, American Institute of Aeronautics and Astronautics, Incorporated, 4th Ed., ISBN978-1-62410-276-9, 2013.Search in Google Scholar

[24] R. O. Chavez-Garcia and O. Aycard, “Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking”, IEEE Transactions on Intelligent Transportation Systems, vol. 17, no.2, pp. 252534, 2015.Search in Google Scholar

[25] A. Rangesh, and M. M. Trivedi, “No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles Using Cameras and LiDARs”, IEEE Transactions on Intelligent Vehicles, Vol. 4, no. 4, December 2019.10.1109/TIV.2019.2938110Search in Google Scholar

[26] H. Hajri, and M.-C. Rahal, “Real-Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth”, arXiv:1807. 11264v2[cs. RO], (July 2019).Search in Google Scholar

[27] B. S. Jahromi, T. Tulabandhula and S. Cetin, “Real-Time Hybrid Multi-Sensor Fusion Framework for Perception Autonomous Vehicles”, Sensors, 19(20), 4357, (2019), DOI:10.3390 /s19204357.Search in Google Scholar

[28] E. A. Wan, and R. Van der Merwe, “The unscented Kalman filter for nonlinear estimation”, IEEE Adaptive Sys. for Signal Processing, Comm., and Control Symposium, Alberta, Canada, (Oct.2000).Search in Google Scholar

[29] S. J. Julierx and J. K. Uhlmann, “Unscented filtering and nonlinear estimation”, Proceedings of the IEEE, 92(3): 401422, (2004).10.1109/JPROC.2003.823141Search in Google Scholar

[30] G. A. Einicke and L. B. White, “Robust Extended Kalman Filtering”, IEEE Trans.Signal Process., 47(9): 25962599, (September 1999).10.1109/78.782219Search in Google Scholar

[31] M. C. Best and K. Bogdanski, “Extending the Kalman filter for structured identification of linear and nonlinear systems”, Int. J. Modelling, Identification, and Control, vol. 27, no. 2, (2017).10.1504/IJMIC.2017.082952Search in Google Scholar

[32] R. Schubert, E. Richter and G. Wanielik, “Comparison and Evaluation of Advanced Motion Models for Vehicle Tracking”, 11th Inter. Conf. on Information Fusion, Cologne, Germany, (July 2008).Search in Google Scholar

[33] J. Sander, X. Xu, M. Ester and H.-P. Kriegel, “A density-based algorithm for discovering clusters large spatial databases with noise”, Proc. of the 2nd Inter. Conf. on Knowledge Discovery and Data Mining, pp. 226231, (August 1996).Search in Google Scholar

[34] GCC C++ https://gcc.gnu.org/, accessed on 11th March, (2020).Search in Google Scholar

[35] Ubuntu Linux https://www.ubuntu.com/, accessed on 11th March, (2020).Search in Google Scholar

[36] M. Nagiub and W. Farag, “Automatic selection of compiler options using genetic techniques for embedded software design”, IEEE 14th Inter. Symposium on Comp. Intelligence and Informatics (CINTI), Budapest, Hungary, November 19, (2013).10.1109/CINTI.2013.6705166Search in Google Scholar

[37] Eigen http://eigen.tuxfamily.org/index.php?title=Main Page, accessed on 11th March, (2020).Search in Google Scholar

[38] R. Pich, “Online tests of Kalman filter consistency. International Journal of Adaptive Control and Signal Processing”, 30(1), pp. 115124, (2016).10.1002/acs.2571Search in Google Scholar

[39] S. Zhao, and B. Huang, “On Initialization of the Kalman Filter”, 6th Inter. Symposium on Adv. Control of Ind. Processes (AdCONIP), Taipei, Taiwan, May 28-31, (2017).10.1109/ADCONIP.2017.7983842Search in Google Scholar

[40] K. Saho, “Kalman Filter for Moving Object Tracking: Performance Analysis and Filter Design”, IntechOpen, Rijeka, (2018).DOI: 10.5772/intechopen.71731.10.5772/intechopen.71731Search in Google Scholar

[41] W. Farag, “Synthesis of intelligent hybrid systems for modeling and control”, PhD Thesis, University of Waterloo, Canada, (1998).Search in Google Scholar

eISSN:
1339-309X
Język:
Angielski
Częstotliwość wydawania:
6 razy w roku
Dziedziny czasopisma:
Engineering, Introductions and Overviews, other