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2019 | OriginalPaper | Buchkapitel

Real-Time Update of the Road Cadastre in GIS Environment from a MMS Rudimentary System

verfasst von : Vincenzo Barrile, Giovanni Leonardi, Antonino Fotia, Giuliana Bilotta, Giuseppe Ielo

Erschienen in: New Metropolitan Perspectives

Verlag: Springer International Publishing

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Abstract

The local authorities that are responsible for the management of road infrastructures must have by law a Road Cadastre by realizing one from scratch or updating the existing one. The Italian road network is spread over 160,000 km of state and provincial roads, so in the face of an efficient solution in terms of costs/performance, a rapid timetable is required for the data acquisition and the construction of the system. The elements of the territory represented in the GIS for the management of the Road Cadastre, on the one hand are characterized by the high mutability that affects both their position and the attributes necessary for classification; on the other hand, the integration of the GIS is only possible through a process of continuous and constant updating of the database. This note, taking up the experimental activities presented in [1] concerning the preparation of an MMS for automatic driving, uses only some of the equipment appropriately predisposed (GPS - GIS), integrating them with two low cost cameras. This in order to test a rudimentary MMS for the updating of the Road Cadastre that through the realization and implementation of suitable software allows to obtain appreciable and interesting results in terms of identification acquisition and transposition in real time on GIS system of elements of the territory for the management of the Road Cadastre. In fact, the proposed system allows real-time recognition (via computer vision) of road artefacts (drains, grids) and vertical signs, as well as the subsequent geo-referencing of acquired frames and automatic transposition in GIS environment (thanks to a dedicated software for updating of the Road Cadastre).

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Literatur
1.
Zurück zum Zitat Barrile, V., Meduri, G.M., Critelli, M., Bilotta, G.: MMS and GIS for self-driving car and road management. In: Gervasi, O., Murgante, B., Misra, S., Borruso, G., Torre, C.M., Rocha, A.M.A.C., Taniar, D., Apduhan, B.O., Stankova, E., Cuzzocrea, A. (eds.) ICCSA 2017. LNCS, vol. 10407, pp. 68–80. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-62401-3_6CrossRef Barrile, V., Meduri, G.M., Critelli, M., Bilotta, G.: MMS and GIS for self-driving car and road management. In: Gervasi, O., Murgante, B., Misra, S., Borruso, G., Torre, C.M., Rocha, A.M.A.C., Taniar, D., Apduhan, B.O., Stankova, E., Cuzzocrea, A. (eds.) ICCSA 2017. LNCS, vol. 10407, pp. 68–80. Springer, Cham (2017). https://​doi.​org/​10.​1007/​978-3-319-62401-3_​6CrossRef
2.
Zurück zum Zitat Ballard, D.: Computer Vision. Prentice-Hall, Englewood Cliffs (1982) Ballard, D.: Computer Vision. Prentice-Hall, Englewood Cliffs (1982)
3.
Zurück zum Zitat Barrile, V., Meduri, G.M., Bilotta, G.: Comparison between two methods for monitoring deformation with laser scanner. WSEAS Trans. Sign. Proces. 10, 497–503 (2014) Barrile, V., Meduri, G.M., Bilotta, G.: Comparison between two methods for monitoring deformation with laser scanner. WSEAS Trans. Sign. Proces. 10, 497–503 (2014)
5.
Zurück zum Zitat Fu, L.M.: Neural Networks in Computer Intelligence, pp. 101–130. McGraw-Hill, New York (1994) Fu, L.M.: Neural Networks in Computer Intelligence, pp. 101–130. McGraw-Hill, New York (1994)
6.
Zurück zum Zitat Simpson, P.K.: Artificial Neural Systems-Foundations, Paradigms, Applications, and Implementations, pp. 80–103. Pergamon Press, New York (1990) Simpson, P.K.: Artificial Neural Systems-Foundations, Paradigms, Applications, and Implementations, pp. 80–103. Pergamon Press, New York (1990)
7.
Zurück zum Zitat Barrile, V., Bilotta, G., D’Amore, E., Meduri, G.M., Trovato, S.: Structural modeling of a historic caste using close range photogrammetry. Int. J. Math. Comput. Simul. 10, 370–380 (2016) Barrile, V., Bilotta, G., D’Amore, E., Meduri, G.M., Trovato, S.: Structural modeling of a historic caste using close range photogrammetry. Int. J. Math. Comput. Simul. 10, 370–380 (2016)
8.
Zurück zum Zitat Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, pp. 779–788 (2016) Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, pp. 779–788 (2016)
9.
Zurück zum Zitat Barrile, V., Cotroneo, F.: Un software per l’aggiornamento automatizzato del catasto strade in ambiente GIS. Bollettino SIFET (2005) Barrile, V., Cotroneo, F.: Un software per l’aggiornamento automatizzato del catasto strade in ambiente GIS. Bollettino SIFET (2005)
10.
Zurück zum Zitat Barrile, V., Cacciola, M., D’Amico, S., Greco, A., Morabito, F.C., Parrillo, F.: Radial basis function neural networks to foresee aftershocks in seismic sequences related to large earthquakes. In: King, I., Wang, J., Chan, L.-W., Wang, D. (eds.) ICONIP 2006. LNCS, vol. 4233, pp. 909–916. Springer, Heidelberg (2006). https://doi.org/10.1007/11893257_100CrossRef Barrile, V., Cacciola, M., D’Amico, S., Greco, A., Morabito, F.C., Parrillo, F.: Radial basis function neural networks to foresee aftershocks in seismic sequences related to large earthquakes. In: King, I., Wang, J., Chan, L.-W., Wang, D. (eds.) ICONIP 2006. LNCS, vol. 4233, pp. 909–916. Springer, Heidelberg (2006). https://​doi.​org/​10.​1007/​11893257_​100CrossRef
11.
Zurück zum Zitat Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Pearson Education Inc., Englewood Cliffs (2002) Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Pearson Education Inc., Englewood Cliffs (2002)
12.
Zurück zum Zitat Barrile, V., Cacciola, M., Morabito, F.C., Versaci, M.: TEC measurements through GPS and artificial intelligence. J. Electromagn. Waves Appl. 20, 1211–1220 (2006)CrossRef Barrile, V., Cacciola, M., Morabito, F.C., Versaci, M.: TEC measurements through GPS and artificial intelligence. J. Electromagn. Waves Appl. 20, 1211–1220 (2006)CrossRef
13.
Zurück zum Zitat Chen, R., Toran-Marti, F., Ventura-Traveset, J.: Access to the EGNOS signal in space over mobile-IP. GPS Solut. 7(1), 16–22 (2003)CrossRef Chen, R., Toran-Marti, F., Ventura-Traveset, J.: Access to the EGNOS signal in space over mobile-IP. GPS Solut. 7(1), 16–22 (2003)CrossRef
14.
Zurück zum Zitat Barrile, V., Cacciola, M., Meduri, G.M., Morabito, F.C.: Automatic recognition of road signs by hough transform. In: 5th Symposium on Mobile Mapping Technology ISPRS Archives, vol. XXXVI-5/C55, pp. 62–67 (2008) Barrile, V., Cacciola, M., Meduri, G.M., Morabito, F.C.: Automatic recognition of road signs by hough transform. In: 5th Symposium on Mobile Mapping Technology ISPRS Archives, vol. XXXVI-5/C55, pp. 62–67 (2008)
15.
Zurück zum Zitat Barrile, V., Postorino, M.N.: GPS and GIS methods to reproduce vehicle trajectories in urban areas. Proc. Soc. Behav. Sci. 223, 890–895 (2016)CrossRef Barrile, V., Postorino, M.N.: GPS and GIS methods to reproduce vehicle trajectories in urban areas. Proc. Soc. Behav. Sci. 223, 890–895 (2016)CrossRef
16.
Zurück zum Zitat Wolf, P., DeWitt, B.A.: Elements of Photogrammetry with Applications in GIS. McGrawHill, New York (2000) Wolf, P., DeWitt, B.A.: Elements of Photogrammetry with Applications in GIS. McGrawHill, New York (2000)
17.
Zurück zum Zitat Quddus, M.A., Ochieng, W.Y., Noland, R.B.: Integrity of map matching algorithms. Transp. Res. Part C: Emer. Technol. 14(4), 283–302 (2006)CrossRef Quddus, M.A., Ochieng, W.Y., Noland, R.B.: Integrity of map matching algorithms. Transp. Res. Part C: Emer. Technol. 14(4), 283–302 (2006)CrossRef
18.
Zurück zum Zitat Al-Shaery, A., Zhang, S., Rizos, C.: An enhanced calibration method of GLONASS interchannel bias for GNSS RTK. GPS Solut. 17(2), 165–173 (2013)CrossRef Al-Shaery, A., Zhang, S., Rizos, C.: An enhanced calibration method of GLONASS interchannel bias for GNSS RTK. GPS Solut. 17(2), 165–173 (2013)CrossRef
Metadaten
Titel
Real-Time Update of the Road Cadastre in GIS Environment from a MMS Rudimentary System
verfasst von
Vincenzo Barrile
Giovanni Leonardi
Antonino Fotia
Giuliana Bilotta
Giuseppe Ielo
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-92102-0_26