LiDAR for Object Detection in Self Driving Cars

Authors

  • Nisha Charaya Assistant Professor, Department Electronics and Communication Engineering, Amity University, Gurgaon, Haryana, India Author

DOI:

https://doi.org/10.55524/ijirem.2023.10.3.19

Keywords:

Autonomous Self-driving, Driverless, LiDAR, Object classification, Object detection

Abstract

Self driving cars are the major invention in  vehicular automation. These cars use sensors to perceive the  surrounding and control accordingly. Object detection  becomes a major task in these driverless cars. In this study,  utilization of LiDAR to automatically control speed,  braking, and safety systems in response to sudden changes  in traffic conditions is presented. The aim of this study is to  do precise and quick object detection for LiDAR based self driving cars. This work proposes image processing to be  used to identify and differentiate similar looking objects so  that carefully calculated driving decisions can be taken.

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References

S. I. N. Y. H. D. A. N. S. karkra, N. charya, “Unmanned Ground Vehicle”, IJRITCC, vol. 5, no. 5, pp. 773–775, May 2017.

Xie, S.; Hu, J.; Bhowmick, P.; Ding, Z.; Arvin, F., "Distributed Motion Planning for Safe Autonomous Vehicle Overtaking via Artificial Potential Field" IEEE Transactions on Intelligent Transportation Systems, 2022.

^ Gehrig, Stefan K.; Stein, Fridtjof J. (1999). Dead reckoning and cartography using stereo vision for an automated car. IEEE/RSJ International Conference on Intelligent Robots and Systems. Vol. 3. Kyongju. pp. 1507– 1512. doi:10.1109/IROS.1999.811692. ISBN 0-7803-5184-

https://www.labellerr.com/blog/object-tracking-in autonomous-vehicles-how-it-works/

https://encyclopedia.pub/entry/8270

Alam Bhuiyan, Ifte Khairul. (2017). LiDAR Sensor for Autonomous Vehicle. 10.13140/RG.2.2.16982.34887/1.

Shahian-Jahromi Babak et al 2017 IOP Conf. Ser.: Mater. Sci. Eng. 224 012029

https://www.automotiveworld.com/articles/LiDARs-for-self driving-vehicles-a-technological-arms-race/

https://www.geospatialworld.net/prime/business-and industry-trends/LiDAR-the-driving-technology-for autonomous-and-semi-autonomous-mobility/

https://www.csail.mit.edu/news/more-efficient-LiDAR sensing-self-driving-cars

https://www.ff.com/us/futuresight/what-is-LiDAR/ [12] Arnold, E.; Al-Jarrah, O.Y.; Dianati, M.; Fallah, S.; Oxtoby, D.; Mouzakitis, A. A Survey on 3D Object Detection Methods for Autonomous Driving Applications. IEEE Trans. Intell. Transp. Syst. 2019, 20, 3782–3795.

Shi, S.; Wang, X.; Li, H. PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud. In Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, 16–20 June 2019; pp. 770–779.

Wu, J.; Xu, H.; Tian, Y.; Pi, R.; Yue, R. Vehicle Detection under Adverse Weather from Roadside LiDAR Data. Sensors 2020, 20, 3433.

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Published

2023-06-30

Issue

Vol. 10 No. 3 (2023): International Journal of Innovative Research in Engineering & Management (JUN) 2023

Section

Articles

How to Cite

LiDAR for Object Detection in Self Driving Cars . (2023). International Journal of Innovative Research in Engineering & Management, 10(3), 131–133. https://doi.org/10.55524/ijirem.2023.10.3.19
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