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Autonomous Driving Vehicle System Using LiDAR Sensor

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Intelligent Data Communication Technologies and Internet of Things

Abstract

An overview of light detection and ranging (LiDAR) sensor technology for autonomous vehicles is presented in this paper. The sensor called LiDAR sensors is a key component of autonomous driving’s for the upcoming generation as an assistance function. LiDAR technology is discussed, including its characteristics, a technical overview, prospects as well as limitations in relation to other sensors available in the industry. Comparison and comment on sensor quality are based on factory parameters. The basic components of a LiDAR system from the laser transmitter to the beam scanning mechanism are explained.

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References

  1. World Health Organization (WHO) (2018) Global status report on road safety 2018. https://www.who.int/violence_injury_prevention/road_safety_status/2018/en/externalicon. Accessed 28 Oct 2020

  2. Liu J, Sun Q, Fan Z, Jia Y (2018) TOF LiDAR development in autonomous vehicle. In: 2018 IEEE 3rd optoelectronics global conference. Shenzhen, pp 185–190

    Google Scholar 

  3. High Definition LiDAR Sensor for 3D Application, Velodyne’s HDL-64E, White Paper/Oct 2007

    Google Scholar 

  4. Fujii T, Fukuchi T (2005) Laser remote sensing. CRC Press, ISBN 10:0-8247-4256-7

    Google Scholar 

  5. Warrian P (2018) Mining: the inversion of industry 4.0, CDO conference, Vancouver

    Google Scholar 

  6. Wenzl K, Ruser H, Kargel C (2012) Decentralized multitarget-tracking using a LIDAR sensor network, Graz

    Google Scholar 

  7. Weitkamp C (ed) (2006) LiDAR: range-resolved optical remote sensing of the atmosphere, 102, Springer Science & Business

    Google Scholar 

  8. Li Y, Ibanez-Guzman J (2020) LiDAR for autonomous driving: the principles, challenges, and trends for automotive LiDAR and perception systems. IEEE Signal Process Mag 37:50–61

    Google Scholar 

  9. Horaud R et al (2016) An overview of depth cameras and range scanners based on time-of-flight technologies. Mach Vis Appl 27:1005–1020

    Article  Google Scholar 

  10. Baker WE et al (2014) LiDAR-measured wind profiles: the missing link in the global observing system. B Am Meteorol Soc 95:543–564

    Article  Google Scholar 

  11. Velodyne LIDAR Key features. Available: https://velodyneLiDAR.com/products/hdl-64e/. Accessed: 22 June 2021

  12. Zermas D et al (2017) Fast segmentation of 3D point clouds: a paradigm on LiDAR data for autonomous vehicle applications. In: IEEE international conference on robotics and automation (ICRA), Singapore

    Google Scholar 

  13. Li Y, Ruichek Y (2012) Moving objects detection and recognition using sparse spacial ınformation in urban environments. In: 2012 IEEE intelligent vehicles symposium. Madrid, pp 1060–1065

    Google Scholar 

  14. Chiu C, Fei L, Liu J, Wu M (2015) National airborne LiDAR mapping and examples for applications in deep-seated landslides in Taiwan. In: 2015 IEEE international geoscience and remote sensing symposium (IGARSS). Milan, pp 4688–4691

    Google Scholar 

  15. Rasshofer RH, Gresser K (2005) Automotive radar and LiDAR systems for next generation driver assistance functions. Adv Radio Sci 3:205–209

    Article  Google Scholar 

  16. Baras N et al (2019) Autonomous obstacle avoidance vehicle using LIDAR and an embedded system. In: 2019 8th international conference on modern circuits and systems technologies (MOCAST). Thessaloniki, pp 1–4

    Google Scholar 

  17. Kim JK et al (2015) Experimental studies of autonomous driving of a vehicle on the road using LiDAR and DGPS. In: 2015 15th international conference on control, automation and systems. Busan, pp 1366–1369

    Google Scholar 

  18. Duong HV et al (2012) The electronically steerable flash LiDAR: a full waveform scanning system for topographic and ecosystem structure applications. IEEE Trans Geosci Remote Sens 50:4809–4820

    Article  Google Scholar 

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Islam, S. et al. (2022). Autonomous Driving Vehicle System Using LiDAR Sensor. In: Hemanth, D.J., Pelusi, D., Vuppalapati, C. (eds) Intelligent Data Communication Technologies and Internet of Things. Lecture Notes on Data Engineering and Communications Technologies, vol 101. Springer, Singapore. https://doi.org/10.1007/978-981-16-7610-9_25

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