Skip to main content
Erschienen in: The International Journal of Advanced Manufacturing Technology 1/2022

15.10.2021 | ORIGINAL ARTICLE

Road rut detection system with embedded multi-channel laser sensor

verfasst von: Jin Han, Likun Cui, Shaoning Shi

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 1/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Laser sensing technology is used to detect the pavement. In the pavement cross-section rut detection, multi-channel laser sensors are used to collect the three-dimensional information of the uneven cross-section direction of the road surface at the same time. In the pavement structure depth detection, two laser sensors are used to collect the three-dimensional information of the road surface structure depth at the same time. Linear regression and quadratic regression algorithm are used to reduce the pavement cross-section rut and structure depth detection. On this basis, the embedded multi-channel laser pavement rutting detection system and laser pavement structure depth detection system are researched and developed; many field tests and application tests have been carried out. Through comparison and verification, the system has strong reliability, small error, and fast detection speed, which is suitable for road detection of different structures.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Renong LIANG (2021) Research on Construction and Optimization of Evaluation Index System for Transportation Development Level. Comprehensive Transportation 43(03):32–37 Renong LIANG (2021) Research on Construction and Optimization of Evaluation Index System for Transportation Development Level. Comprehensive Transportation 43(03):32–37
2.
Zurück zum Zitat Jie TANG (2020) Research on cost control of municipal road maintenance. Accounting study 12:7–9 Jie TANG (2020) Research on cost control of municipal road maintenance. Accounting study 12:7–9
3.
Zurück zum Zitat Al-Qerem A, Alauthman M, Almomani A, Gupta BB (2020) IoT transaction processing through cooperative concurrency control on fog–cloud computing environment. Soft Comput 24(8):5695–5711CrossRef Al-Qerem A, Alauthman M, Almomani A, Gupta BB (2020) IoT transaction processing through cooperative concurrency control on fog–cloud computing environment. Soft Comput 24(8):5695–5711CrossRef
4.
Zurück zum Zitat BRAD H (2021) In-furrow peanut fertilizers are still not recommended. Southwest Farm Press BRAD H (2021) In-furrow peanut fertilizers are still not recommended. Southwest Farm Press
5.
Zurück zum Zitat Zhijian LAN (2021) Application of Preventive Highway Maintenance Technology in Modern Highway Maintenance. Low Carbon World 11(02):197–198 Zhijian LAN (2021) Application of Preventive Highway Maintenance Technology in Modern Highway Maintenance. Low Carbon World 11(02):197–198
6.
Zurück zum Zitat DB32/T944–2006 (2007) Highway maintenance quality inspection and evaluation method DB32/T944–2006 (2007) Highway maintenance quality inspection and evaluation method
7.
Zurück zum Zitat JTG_F80/1–2004 (2017) Standard for quality inspection and evaluation of Highway Engineering JTG_F80/1–2004 (2017) Standard for quality inspection and evaluation of Highway Engineering
8.
Zurück zum Zitat Renfei C (2014) Asphalt pavement flatness detection technology and improvement measures. Innov Appl Sci Technol 33:235 Renfei C (2014) Asphalt pavement flatness detection technology and improvement measures. Innov Appl Sci Technol 33:235
9.
Zurück zum Zitat S M, A M, I E, et al (2013) Development of high power laser technology: 915 nm mini-bars for fibre laser pumping and red laser bars for cinema/projector applications S M, A M, I E, et al (2013) Development of high power laser technology: 915 nm mini-bars for fibre laser pumping and red laser bars for cinema/projector applications
10.
Zurück zum Zitat Li G, Zhang C (2019) Automatic detection technology of sports athletes based on image recognition technology. EURASIP Journal on Image and Video Processing 2019(1) Li G, Zhang C (2019) Automatic detection technology of sports athletes based on image recognition technology. EURASIP Journal on Image and Video Processing 2019(1)
11.
Zurück zum Zitat CHANG Chengli (2011) Research on Traceability and Transfer Technology of International Flatness Quantity Value. Beijing Polytechnic University CHANG Chengli (2011) Research on Traceability and Transfer Technology of International Flatness Quantity Value. Beijing Polytechnic University
12.
Zurück zum Zitat Kamel A, Miky Y, Shouny AEFTF (2020) A quick surveying approach for constructing high resolution digital surface model for road elements. Geomat Nat Haz Risk 11(1):1466–1489CrossRef Kamel A, Miky Y, Shouny AEFTF (2020) A quick surveying approach for constructing high resolution digital surface model for road elements. Geomat Nat Haz Risk 11(1):1466–1489CrossRef
13.
Zurück zum Zitat C Lei, Dawei QI (2005) Application of Computerized Tomography (CT) in Non-destructive Testing for Logs. Forest Engineering (03): 21–23 C Lei, Dawei QI (2005) Application of Computerized Tomography (CT) in Non-destructive Testing for Logs. Forest Engineering (03): 21–23
14.
Zurück zum Zitat Al-Smadi M, Qawasmeh O, Al-Ayyoub M, Jararweh Y, Gupta B (2018) Deep Recurrent neural network vs. support vector machine for aspect-based sentiment analysis of Arabic hotels’ reviews. J Comput Sci 27:386–393CrossRef Al-Smadi M, Qawasmeh O, Al-Ayyoub M, Jararweh Y, Gupta B (2018) Deep Recurrent neural network vs. support vector machine for aspect-based sentiment analysis of Arabic hotels’ reviews. J Comput Sci 27:386–393CrossRef
15.
Zurück zum Zitat Yamni M, Karmouni H, Sayyouri M et al (2021) Novel Octonion Moments for color stereo image analysis. Digital Signal Processing 108(3) Yamni M, Karmouni H, Sayyouri M et al (2021) Novel Octonion Moments for color stereo image analysis. Digital Signal Processing 108(3)
16.
Zurück zum Zitat Pascual D, Clarizia MP et al (2021) Spaceborne Demonstration of GNSS-R Scattering Cross Section Sensitivity to Wind Direction. IEEE Geoscience and Remote Sensing Letters PP(99):1–5 Pascual D, Clarizia MP et al (2021) Spaceborne Demonstration of GNSS-R Scattering Cross Section Sensitivity to Wind Direction. IEEE Geoscience and Remote Sensing Letters PP(99):1–5
17.
Zurück zum Zitat Koch C, Brilakis I (2011) Pothole detection in asphalt pavement images. Adv Eng Inform 25(3):507–515CrossRef Koch C, Brilakis I (2011) Pothole detection in asphalt pavement images. Adv Eng Inform 25(3):507–515CrossRef
18.
Zurück zum Zitat Rahman SU, Cao Q et al (2020). Multifunctional polarization converting metasurface and its application to reduce the radar cross-section of an isolated MIMO antenna. Journal of Physics D Applied Physics 53(30) Rahman SU, Cao Q et al (2020). Multifunctional polarization converting metasurface and its application to reduce the radar cross-section of an isolated MIMO antenna. Journal of Physics D Applied Physics 53(30)
19.
Zurück zum Zitat Sharbaf M, Ghafoori N (2021) Laboratory evaluation of geogrid-reinforced flexible pavements. Transportation Engineering (4):100070 Sharbaf M, Ghafoori N (2021) Laboratory evaluation of geogrid-reinforced flexible pavements. Transportation Engineering (4):100070
20.
Zurück zum Zitat Ramkumar S, Rajeev Kumar M et al (2021) Patient health care intensive care system using wearable band sensor network. Materials Today: Proceedings (47):80–87 Ramkumar S, Rajeev Kumar M et al (2021) Patient health care intensive care system using wearable band sensor network. Materials Today: Proceedings (47):80–87
21.
Zurück zum Zitat Salhab N, Langar R et al (2021) 5G network slices resource orchestration using Machine Learning techniques. Computer Networks 188:107829CrossRef Salhab N, Langar R et al (2021) 5G network slices resource orchestration using Machine Learning techniques. Computer Networks 188:107829CrossRef
22.
Zurück zum Zitat Le W (2018) Development of laser triangular displacement sensor for measuring wheelset parameters. Beijing Jiaotong University Le W (2018) Development of laser triangular displacement sensor for measuring wheelset parameters. Beijing Jiaotong University
23.
Zurück zum Zitat Ruiz-Llata M, Martín-Mateos P et al (2014) Remote optical sensor for real-time residual salt monitoring on road surfaces. Sens Actuators, B Chem 191:371–376CrossRef Ruiz-Llata M, Martín-Mateos P et al (2014) Remote optical sensor for real-time residual salt monitoring on road surfaces. Sens Actuators, B Chem 191:371–376CrossRef
24.
Zurück zum Zitat Dettenborn T, Hartikainen A et al (2020). Pavement Maintenance Threshold Detection and Network-Level Rutting Prediction Model Based on Finnish Road Data. Journal of Infrastructure Systems 26(2):04020016 Dettenborn T, Hartikainen A et al (2020). Pavement Maintenance Threshold Detection and Network-Level Rutting Prediction Model Based on Finnish Road Data. Journal of Infrastructure Systems 26(2):04020016
Metadaten
Titel
Road rut detection system with embedded multi-channel laser sensor
verfasst von
Jin Han
Likun Cui
Shaoning Shi
Publikationsdatum
15.10.2021
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 1/2022
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-021-08027-w

Weitere Artikel der Ausgabe 1/2022

The International Journal of Advanced Manufacturing Technology 1/2022 Zur Ausgabe

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.