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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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
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
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
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
Boyko A, Funkhouser T (2011) Extracting roads from dense point clouds in large scale urban environment. ISPRS J Photogramm Remote Sens 66:1–12
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
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
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
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
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
Souleyrette R, Hallmark S, Veneziano D (2002) Comparison of Lidar and conventional mapping methods for highway corridor studies
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
Florida Department of Transportation (2023) Surveying and mapping handbook
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
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
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
CHCNAV (2022) i90 IMU-RTK GNSS receiver
Topcon: AT-b2/b3/b4 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
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)