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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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
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
High Definition LiDAR Sensor for 3D Application, Velodyne’s HDL-64E, White Paper/Oct 2007
Fujii T, Fukuchi T (2005) Laser remote sensing. CRC Press, ISBN 10:0-8247-4256-7
Warrian P (2018) Mining: the inversion of industry 4.0, CDO conference, Vancouver
Wenzl K, Ruser H, Kargel C (2012) Decentralized multitarget-tracking using a LIDAR sensor network, Graz
Weitkamp C (ed) (2006) LiDAR: range-resolved optical remote sensing of the atmosphere, 102, Springer Science & Business
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
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
Baker WE et al (2014) LiDAR-measured wind profiles: the missing link in the global observing system. B Am Meteorol Soc 95:543–564
Velodyne LIDAR Key features. Available: https://velodyneLiDAR.com/products/hdl-64e/. Accessed: 22 June 2021
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
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
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
Rasshofer RH, Gresser K (2005) Automotive radar and LiDAR systems for next generation driver assistance functions. Adv Radio Sci 3:205–209
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
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
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
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-16-7610-9_25
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-7609-3
Online ISBN: 978-981-16-7610-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)