Abstract
More and more often, there is talk of autonomous cars or “intelligent guidance” that can detect and navigate without human intervention. The proposed system is a vehicle equipped for the Mobile Mapping System (MMS) with sensors that fathom the environment with radar techniques, LIDAR, GPS and cameras, capable of tracking paths, identify obstacles, and recognize road signs for the detailed knowledge of road network. This system supports both the user in the automatic driving systems via the creation/update of maps, both the public administrations with the help of GIS platforms and/or more additional sensors, in order to have databases and references regarding road maintenance, mitigating the risk of accidents, maintaining higher levels of safety.
We are trying an experimentation on a “rudimental” equipped vehicle; it is therefore only a rudimentary vehicle for testing and experimentations, which are still at an early stage.
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Barrile, V., Meduri, G.M., Critelli, M., Bilotta, G. (2017). MMS and GIS for Self-driving Car and Road Management. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10407. Springer, Cham. https://doi.org/10.1007/978-3-319-62401-3_6
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DOI: https://doi.org/10.1007/978-3-319-62401-3_6
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