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Autonomous Vehicle using Computer Vision and LiDAR

0*, Vrushali Pagire **

* Department of Electronics and Communication Engineering, MIT World Peace University, Pune, Maharashtra, India.

** Government Polytechnic, Daman, Daman & Diu, India.

Periodicity:January - June'2021
DOI : https://doi.org/10.26634/jes.9.2.18064

Abstract

The autonomous vehicle is one of the challenging tasks in the automobile sector. In traditional driving, the human driver takes all control over the operation of the vehicle but in the autonomous vehicle, the human driver does not have any control, instead the control is with the real-time decision making computer. For the autonomous vehicle, path planning and the perception of the obstacles are very important. In the proposed work, the algorithms for path planning, object detection, and the Lane Keeping Assist system are implemented. The simulation results of all the algorithms are given in this paper.

Keywords

Autonomous Vehicle, LiDAR, Adaptive Cruise Control, Cloud Map.

How to Cite this Article?

Pagire, V., and Mate, S. (2021). Autonomous Vehicle using Computer Vision and LiDAR. i-manager's Journal on Embedded Systems, 9(2), 7-14. https://doi.org/10.26634/jes.9.2.18064

References

Changhao, J., Miaohua, H., & Liyang, S. (2020, December). An autonomous vehicle motion planning method based on dynamic programming. In 2020 17^th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 394-398). IEEE. https://doi.org/10.1109/ ICCWAMTIP51612.2020.9317333

[2]. Choi, Y., Kang, D., Lee, S., & Kim, Y. (2009, August). The autonomous platoon driving system of the on line electric vehicle. In 2009 ICCAS-SICE (pp. 3423-3426). IEEE.

[3]. Desheng, X., Youchun X., & Rendong W. (2017). Obstacle detection and tracking method for autonomous vehicles based on three-dimensional LiDAR. International Journal of Advanced Robotic Systems, 16(2), 1729881419831587. https://doi.org/10.1177/1729881419 831587

[4]. Huang, A. S. (2010). Lane estimation for autonomous vehicles using vision and LiDAR (Doctoral dissertation), Massachusetts Institute of Technology, USA.

[5]. Iqbal, A. (2020). Obstacle detection and track detection in autonomous cars. In Autonomous Vehicle and Smart Traffic (p. 65). Intech. https://doi.org/10.5772/intech open.89917

[6]. McCrae, S., & Zakhor, A. (2020, October). 3D object detection for autonomous driving using temporal LiDAR data. In 2020 IEEE International Conference on Image Processing (ICIP) (pp. 2661-2665). IEEE. https://doi.org/ 10.1109/ICIP40778.2020.9191134

[7]. Penmetsa, P., Adanu, E. K., Wood, D., Wang, T., & Jones, S. L. (2019). Perceptions and expectations of autonomous vehicles–A snapshot of vulnerable road user opinion. Technological Forecasting and Social Change, 143, 9-13. https://doi.org/10.1016/j.techfore.2019.02.010

[8]. Rangesh, A., & Trivedi, M. M. (2019). No blind spots: Fullsurround multi-object tracking for autonomous vehicles using cameras and LiDARs. IEEE Transactions on Intelligent Vehicles, 4(4), 588-599. https://doi.org/10.1109/TIV.2019. 2938110

[9]. Sakai, K., & Murakami, T. (2016, October). A fusion control of master steering input and automatic assisted control for teleoperated electric vehicle. In IECON 2016- 42nd Annual Conference of the IEEE Industrial Electronics Society (pp. 469-474). IEEE. https://doi.org/10.1109/IECON. 2016.7793501

[10]. Sung, K., Min, K., & Choi, J. (2018, February). Driving information logger with in-vehicle communication for autonomous vehicle research. In 2018 20th International Conference on Advanced Communication Technology (ICACT) (pp. 300-302). IEEE. https://doi.org/10.23919/ ICACT.2018.8323732

[11]. Wang, F., Xian, B., Huang, G., & Zhao, B. (2013, July). Autonomous hovering control for a quadrotor unmanned aerial vehicle. In Proceedings of the 32^nd Chinese Control Conference (pp. 620-625). IEEE.

[12]. Wu, P., Dou, Z., Cui, M., Liu, H., Niu, Z., & Liu, G. (2019, October). An automatic driving algorithm for outdoor wheeled unmanned vehicle. In 2019 International Conference on Control, Automation and Information Sciences (ICCAIS) (pp. 1-6). IEEE. https://doi.org/10.1109/ ICCAIS46528.2019.9074677

[13]. Xiong,G., Zhou, P., Zhou, S., Zhao, X., Zhang, H., Gong, J., & Chen, H. (2010, June). Autonomous driving of intelligent vehicle BIT in 2009 future challenge of China. In 2010 IEEE Intelligent Vehicles Symposium (pp. 1049-1053). IEEE. https://doi.org/10.1109/IVS.2010.5548147

[14]. Yang, L., Sun, D., Xie, F. & Zhu J. (2016). Study of autonomous platoon vehicle longitudinal modeling. IET International Conference on Intelligent and Connected Vehicles.

[15]. Zakaria, M. A., Zamzuri, H., & Mazlan, S. A. (2016, February). Dynamic curvature steering control for autonomous vehicle: performance analysis. In IOP Conference Series: Materials Science and Engineering (Vol. 114, No. 1). IOP Publishing. https://doi.org/10.1088/ 1757-899X/114/1/012149

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