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Author:

Zhang, Qi (Zhang, Qi.) | Li, Sili (Li, Sili.) | Zhang, Panpan (Zhang, Panpan.) | Tian, Bo (Tian, Bo.) | Zhang, Jinxi (Zhang, Jinxi.) (Scholars:张金喜)

Indexed by:

CPCI-S

Abstract:

Aiming at the current situation that the highway milepost and geodetic coordinates matching methods are less intelligent and less accurate, resulting in the efficiency and accuracy of the milepost matching methods cannot meet the requirements of practical applications, this paper applies centimeter-level combined inertial navigation system and binocular camera to collect road spatial information and image data, adopts trajectory planning method and image recognition technology for data analysis, and obtains continuous collection trajectory. Based on the principle of 3D scene restoration by binocular stereo vision, this paper proposes a method to obtain the geographic coordinates of mileage stakes through the parallel view of stake number plate and realizes the high accuracy and fast matching of highway mileage stakes and geodetic coordinates. The experimental results show that the method can better achieve the rapid matching of highway mileage stakes and geodetic coordinates, and the average accuracy of stakes matching reaches the decimeter level, which can meet the requirements of most current application scenarios.

Keyword:

Road engineering high-precision positioning technology pile matching binocular stereo vision system image recognition

Author Community:

  • [ 1 ] [Zhang, Qi]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China
  • [ 2 ] [Zhang, Jinxi]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China
  • [ 3 ] [Li, Sili]Res Inst Highway Minist Transport, Key Lab Rd Struct & Mat Transportat Ind, Beijing, Peoples R China
  • [ 4 ] [Zhang, Panpan]Res Inst Highway Minist Transport, Key Lab Rd Struct & Mat Transportat Ind, Beijing, Peoples R China
  • [ 5 ] [Tian, Bo]Res Inst Highway Minist Transport, Key Lab Rd Struct & Mat Transportat Ind, Beijing, Peoples R China

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Source :

13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023

Year: 2023

Page: 246-262

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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