[
1. Alotibi, F. Abdelhakim, M. (2020). Anomaly Detection for Cooperative Adaptive Cruise Control in Autonomous Vehicles Using Statistical Learning and Kinematic Model, IEEE Transactions on Intelligence Transportation Systems, 1-11, DOI : 10.1109/TITS.2020.2983392.
]Search in Google Scholar
[
2. Bilik, I. Longman, O. Villeval, S. Tabrikian, J. (2019). The rise of radar for autonomous vehicles: signal processing solutions and future research directions, IEEE signal processing magazine, 36(5), 20-31.10.1109/MSP.2019.2926573
]Search in Google Scholar
[
3. Britting, K. R. (1999). Inertial Navigation Systems Analysis, Wiley, New York.
]Search in Google Scholar
[
4. Dias, J. E. A. Pereira, G. A. S. and Palhares, R. M. (2015) Longitudinal Model Identification and Velocity Control of an Autonomous Car, IEEE Transactions on Intelligent Transportation Systems, 16(2), 776-786, DOI: 10.1109/TITS.2014.2341491.10.1109/TITS.2014.2341491
]Search in Google Scholar
[
5. Chen, B.-C. Bue, C.-C. (2014) Electronic Stability Control for Electric Vehicle with Four In-Wheel Motors, International Journal of Automotive Technology, 15(4), 573-580, DOI: 10.1007/s12239−014−0060−4.
]Search in Google Scholar
[
6. Dixit S., Fallah S., Montanaro U., Dianati M., Stevens A., Mccullough F., and Mouzakitis A., (2018) Trajectory planning and tracking for autonomous overtaking: State-of-the-art and future prospects, Annual Rev. Control., 45, 76-86.
]Search in Google Scholar
[
7. Ghariblu, H. (2020) Decision Making for Motion Planning of Autonomous Vehicles in the Freeway Driving, International Journal of Intelligent Transportation, Under review.
]Search in Google Scholar
[
8. Kesting A., Treiber M., Schönhof M., Helbing D. Extending adaptive cruise control to adaptive driving strategies, Transportation Research Record, Vol. 2000 (1), pp. 16-24, 2007.
]Search in Google Scholar
[
9. Houenou A., Bonnifait P., Cherfaoui V., and Wen Y. (2013). Vehicle Trajectory Prediction based on Motion Model and Maneuver Recognition. IEEE/RSJ International Conference on Intelligent Robots and Systems, Nov., 2013, Tokyo, Japan, 4363-4369.10.1109/IROS.2013.6696982
]Search in Google Scholar
[
10. Kanaris A., Kosmatopoulos E. B., and Loannou P. A., (2001). Strategies and spacing requirements for lane changing and merging in automated highway system”, IEEE Trans. on Vehicular Technol., vol. 50(61), 586–1581.
]Search in Google Scholar
[
11. Maksymova, I. Steger, C. Druml, N. (2018) Review of LiDAR Sensor Data Acquisition and Compression for Automotive Applications. Eurosensors 2018 Conferences, 2(13), 852, Austria.10.3390/proceedings2130852
]Search in Google Scholar
[
12. Mammeri, A. Lu, G. Boukerche, A. (2015). Design of Lane Keeping Assist System for Autonomous Vehicle, 2015 7th International Conference on New Technologies, Mobility and Security (NTMS), 1-5, DOI : 10.1109/NTMS.2015.7266483.
]Search in Google Scholar
[
13. Mampearachchi, W. K., Masakorala S. R. (2018). Analytical Model for Passing Sight Distance Design Criteria of Two-Lane Roads in Sri Lanka, Transport and Telecommunication Journal, 19(1), 10-20.10.2478/ttj-2018-0002
]Search in Google Scholar
[
14. Milanés, V., Naranjo, J., González, C., Alonso, J., & De Pedro, T. (2008). Autonomous vehicle based in cooperative GPS and inertial systems. Robotica, 26(5), 627-633. doi:10.1017/S0263574708004232.10.1017/S0263574708004232
]Search in Google Scholar
[
15. Nelson, W. (1989) Continuous-curvature paths for autonomous vehicles, Proceedings of the International Conference on Robotics and Automation, Scottsdale, AZ, 3, 1260-1264 DOI: 10.1109/ROBOT.1989.100153.10.1109/ROBOT.1989.100153
]Search in Google Scholar
[
16. Patole, S. M. Torlak, M. Wang, D. and Ali, M. (2017) Automotive radars: A review of signal processing techniques. IEEE Signal Processing Magazine, 34(2), 22-35, DOI: 10.1109/MSP.2016.2628914.10.1109/MSP.2016.2628914
]Search in Google Scholar
[
17. Sherif, M. Abuelenin, Adel Y. Abul-Magd, (2015) Effect of minimum headway distance on connectivity of VANETs, International Journal of Electronics and Communications, 69(5), 867-871, DOI: 10.1016/j.aeue.2015.01.011.10.1016/j.aeue.2015.01.011
]Search in Google Scholar
[
18. Shim, T., Adireddy, G., and Yuan, H. (2012) Autonomous vehicle collision avoidance system using path planning and model-predictive-control-based active front steering and wheel torque control, P I Mech Eng D-J Aut., 226(6), 767–778.10.1177/0954407011430275
]Search in Google Scholar
[
19. Shojaei, S. Rahmani, H. A, Azadi, S., Saeedi MA. (2020) A novel decision-making unit for automated maneuver of articulated vehicles in real traffic situations. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 234(1), 152-171. DOI: 10.1177/0954407019838380.10.1177/0954407019838380
]Search in Google Scholar
[
20. Skačkauskas, P., Sokolovskij, E. (2019) Analysis of the Hybrid Global Path Planning Algorithm for Different Environments, Transport and Telecommunication Journal, 20(1), 1-13.10.2478/ttj-2019-0001
]Search in Google Scholar
[
21. Sukkarieh, S. Nebot, E.M. Durrant-Whyte, H.F. (1999) A high integrity IMU/GPS navigation loop for autonomous land vehicle applications, IEEE Transactions on Robotics and Automation, 15(3), 572-578, DOI : 10.1109/70.768189.
]Search in Google Scholar
[
22. Tarel, J. Hautiere, N. Caraffa, L. Cord, A. Halmaoui, H. and Gruyer, D. (2012) Vision Enhancement in Homogeneous and Heterogeneous Fog, IEEE Intelligent Transportation Systems Magazine, 4(2), 6-20, DOI: 10.1109/MITS.2012.2189969.10.1109/MITS.2012.2189969
]Search in Google Scholar
[
23. Wang, L. Zhang, Y.Wang, J. (2017) Map-based localization method for autonomous vehicles using 3D-lidar, IFAC PapersOnLine, 50(1), 276-281.10.1016/j.ifacol.2017.08.046
]Search in Google Scholar
[
24. Yang, Q., Koutsopoulos, H. N. (1996) A microscopic traffic simulator for evaluation of dynamic traffic management systems, Transportation Research, Part C: Emerging Technologies, 4(3), 113-129.10.1016/S0968-090X(96)00006-X
]Search in Google Scholar
[
25. Zaarane, A. Slimani, I. Al Okaishi, W. Atouf, I. Hamdoun, A. (2020) Distance measurement system for autonomous vehicles using stereo camera, Array. 5:100016, DOI: 10.1016/j.array.2020.100016.10.1016/j.array.2020.100016
]Search in Google Scholar
[
26. Zhang, S., Deng, W., Zhao, Q., Sun, H., Litkouhi, B. (2013) Dynamic trajectory planning for vehicle autonomous driving. 2013 IEEE International Conference on Systems, Man, and Cybernetics, Oct., 2013, Manchester, UK, 4161–4166.10.1109/SMC.2013.709
]Search in Google Scholar
