location:Home > 2023 Vol.6 Aug.N04 > Laser scanning technology based on asphalt road leveling inspection method

2023 Vol.6 Aug.N04

  • Title: Laser scanning technology based on asphalt road leveling inspection method
  • Name: Qinghua Fan,Jian Shen
  • Company: Jilin Communications Polytechnic,Changchun,130012 China
  • Abstract:

    The current conventional asphalt road levelness inspection method is mainly by directly measuring the longitudinal section of the road surface and outputting the pavement levelness according to the longitudinal section curve, which leads to poor inspection accuracy due to the lack of compensation analysis of the levelness. In this regard, the asphalt road levelness inspection method based on laser scanning technology is proposed. Laser scanning technology is used to obtain asphalt road point cloud data, and pre-processing work such as denoising, aligning and sampling is performed on the point cloud data. Then the structure of the inspection equipment is designed, and the road levelness coefficient is calculated, and the offset angle deviation is combined with the compensation correction process for the calculation results of asphalt road levelness. In the experiment, the proposed method is verified for the road levelness detection accuracy. The experimental results show that when the proposed method is used for levelness testing of asphalt roads, the levelness testing error is small and has a more desirable testing accuracy.


  • Keyword: laser scanning technology; asphalt roads; flatness inspection; point cloud technology;
  • DOI: 10.12250/jpciams2023090605
  • Citation form: Qinghua Fan.Laser scanning technology based on asphalt road leveling inspection method [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.20-24
Reference:

[1] Azeemi N Z , Najam-us-Saquib, Ahmed E . TRACE AND CROSS TRIGGERED SCANNING (T&CTS) IN OPTICAL MICROSCOPY[J]. Journal of Theoretical and Applied Information Technology, 2021, 99(4):797-811.

[2] Wya B , Hui C D , Shuai L C , et al. Understanding of adopting flat-top laser in laser powder bed fusion processed Inconel 718 alloy: simulation of single- track scanning and experiment[J]. Journal of Materials Research and Technology, 2022, 16:1388-1401.

[3] Hu H , Liu J , Cheng G , et al. Seismic behavior of hybrid coupled shear wall with replaceable U-shape steel coupling beam using terrestrial laser scanning:[J]. Advances in Structural Engineering, 2022, 25(6):1167-1177.

[4] Mousa M R , Hassan M , Carlson P , et al. Development of Cost-Effective Restriping Strategies using Standard Width and Wide Waterborne Paints on Asphalt Pavements in Hot and Humid Climates: [J]. Transportation Research Record, 2021, 2675(9):284-295.

[5] Khedaywi T S , Haddad M A , Qadi A , et al. Investigating the Effect of Addition of Olive Husk Ash on Asphalt Binder Properties [J]. Annales de Chimie Science des Matériaux, 2021, 45(3):239-243.

[6]M Urinová, Mikolaj J , V Hostaná. Modelling of changes in pavement serviceability of the asphalt road [J]. Transportation Research Procedia, 2021, 55(4):1131-1138.

[7] Envelope R , Id A , Bj A , et al. Organization and technology of arranging access roads with asphalt-concrete pavement in the preparatory period of construction [J]. Transportation Research Procedia, 2022, 63:2841-2846.

[8] Wang Z , R Künnemeyer, Mcglone A , et al. Non-destructive detection of chilling injury in kiwifruit using a dual-laser scanning system with a principal component analysis - back propagation neural network:[J]. Journal of Near Infrared Spectroscopy, 2022, 30(2):67-73.

[9] Db A , Rl A , Dg A . Through the eyes of Autonomous Vehicles - using laser scanning technology to engage the public via the analysis of journeys seen from a different perspective[J]. Transportation Research Procedia, 2022, 60:496-503.

[10] Li J , Weinmann M , Sun X , et al. VD-LAB: A view-decoupled network with local-global aggregation bridge for airborne laser scanning point cloud classification[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 186:19-33.

[11] Mao Y , Chen K , Diao W , et al. Beyond single receptive field: a receptive field fusion-and-stratification network for airborne laser scanning point cloud classification[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 188:45-61.

[12] Watamaniuk L , Smith A C , Rogers T L . Use of laser-scanning confocal microscopy in the detection of diagenesis in bone[J]. Journal of Forensic Sciences, 2022, 67(1):92-101.

[13] Li Y , Xie X Y , Song Y J , et al. Use of line laser scanning thermography for the defect detection and evaluation of composite material [J]. Science and Engineering of Composite Materials, 2022, 29(1):74-83.

[14] Shi Z , Lei Z . Laser circumferential scanning photoelectric detection model and analysis of terminal-sensitive projectile[J]. Microwave and Optical Technology Letters, 2022, 64(6):1125-1133.

[15] Xie B , Zhang Y . Simulation of LIDAR Point Cloud Based Laser Scanning Reconstruction Method For Buildings[J]. Computer Simulation,2021(5) 435-439.

 


Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16