Skip to main content

Mobile Lidar for Road Surface Monitoring: A Case Study of an Integrated AU20 Lidar

  • Conference paper
  • First Online:
Recent Advances in Structural Health Monitoring and Engineering Structures (SHM&ES 2023)

Abstract

Lidar is a new trend in data collecting in surveying in general and in the monitoring field. However, lidar operated on a car solution for road surface data collecting is a quite new platform. The paper is an assessment of using lidar for this kind of purpose. In the study, an AU20 lidar is used on a car platform with three different speeds including 25, 30, and 40 km/h to scan about 3 km of asphalt surface road. The scan data were processed by Copre software using PPK processing mode. The base station is an i90 GNSS receiver. Output data were compared to a conventional method with an ATB4 auto level. The results study indicated the efficiency of AU20 lidar solution with vehicle platform when the time of scan process is around 10 min and about 17 min in total including preparation. The most surprising is the accuracy when comparing the asphalt road surface elevation from point clouds to that from the level method. The maximum differences in elevation are 10, 21, and 19 mm for 25, 30, and 40 km/h speeds, respectively. The standard deviations are 3.0, 6.5, and 7.5 mm for three car speeds.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
eBook
USD 219.00
Price excludes VAT (USA)
Hardcover Book
USD 279.99
Price excludes VAT (USA)

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wang Y, Chen Q, Zhu Q, Liu L, Li C, Zheng D (2019) A survey of mobile laser scanning applications and key techniques over urban areas. Remote Sens 11(13):1–20

    Article  Google Scholar 

  2. Carter J, Schmid K, Waters K, Lindy B, Hadley B, Mataosky R, Alleran J (2012) Lidar 101 : an introduction to Lidar technology, data, and applications

    Google Scholar 

  3. Guo L, Chehata N, Mallet C, Boukir S (2011) Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests. ISPRS J Photogramm Remote Sens 66(1):56–66

    Article  Google Scholar 

  4. Kostrikov S (2019) Urban remote sensing with lidar for the Smart City Concept implementation. Visnyk V. N. Karazin Kharkiv Natl. Univ. Ser. Geology Geogr Ecol 50, 101–124

    Google Scholar 

  5. Boyko A, Funkhouser T (2011) Extracting roads from dense point clouds in large scale urban environment. ISPRS J Photogramm Remote Sens 66:1–12

    Article  Google Scholar 

  6. Rusu RB, Marton ZC, Blodow N, Dolha M, Beetz M (2008) Towards 3D Point cloud based object maps for household environments. Rob Auton Syst 56(11):927–941

    Article  Google Scholar 

  7. Guan H, Li J, Cao S, Yu Y (2016) Use of mobile LiDAR in road information inventory: a review. Int J Image Data Fusion 7(3):219–242

    Article  Google Scholar 

  8. Li Z, Cheng C, Kwan M-P, Tong X, Tian S (2019) Identifying asphalt pavement distress using UAV LiDAR point cloud data and random forest classification. Int J Geo-Inform 8(39):1–26

    Google Scholar 

  9. Yadav M, Lohani B, Singh AK (2018) Road surface detection from mobile Lidar data. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 95–101

    Google Scholar 

  10. Veneziano D, Souleyrette R, Hallmark SL (2002) Evaluation of LIDAR for highway planning, location and design. In: Pecora 15/Land Satellite Information IV/ISPRS Commission I/FIEOS

    Google Scholar 

  11. Souleyrette R, Hallmark S, Veneziano D (2002) Comparison of Lidar and conventional mapping methods for highway corridor studies

    Google Scholar 

  12. Xu Y, Neal PJ, Crane CD (2017) Road marking survey with mobile Lidar system. In: 30st Florida Conference on Recent Advances in Robotics, pp 5–8

    Google Scholar 

  13. Florida Department of Transportation (2023) Surveying and mapping handbook

    Google Scholar 

  14. He GB, Li LL (2020) Research and application of LiDAR technology in cadastral surveying and mapping. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences—ISPRS Archives, pp 33–37

    Google Scholar 

  15. Park H-S (2013) Land subsidence survey and analysis using the terrestrial LIDAR in Jakarta Bay, Indonesia. J Korean Soc Mar Environ Saf 19(3):233–240

    Article  Google Scholar 

  16. Lopac N, Jurdana I, Brnelić A, Krljan T (2022) Application of laser systems for detection and ranging in the modern road transportation and maritime sector. Sensors 22(16):1–27

    Article  Google Scholar 

  17. CHCNAV (2022) i90 IMU-RTK GNSS receiver

    Google Scholar 

  18. Topcon: AT-b2/b3/b4 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ngoc Quang Vu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vu, N.Q., Thanh, H.P.T. (2024). Mobile Lidar for Road Surface Monitoring: A Case Study of an Integrated AU20 Lidar. In: Cuong, L.T., Gandomi, A.H., Abualigah, L., Khatir, S. (eds) Recent Advances in Structural Health Monitoring and Engineering Structures. SHM&ES 2023. Lecture Notes in Civil Engineering, vol 460. Springer, Singapore. https://doi.org/10.1007/978-981-97-0399-9_53

Download citation

  • DOI: https://doi.org/10.1007/978-981-97-0399-9_53

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0398-2

  • Online ISBN: 978-981-97-0399-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics