NARVALO is a collision avoidance system for logistic platform areas that detects possible dangerous situations, which could lead to accidents, and consequently alerts vehicles and people involved. The system is based on the real time knowledge of precise position, speed and acceleration of the monitored vehicles and operators using ad-hoc GNSS (Global Navigation Satellite Systems)-IMU (Inertial Measurement Unit) receivers, core of the "NARVALO box". In this paper, we focus on the prototype of the control center developed for the real time evaluation of the collision risks. It consists of a Geographical Information System (GIS) collision avoidance algorithm, developed using geospatial open source C libraries (GDAL and OGR), and a server, developed using the C programming language, responsible for the scheduling of the GIS algorithm, the management of real time communications with the mobile devices and the storage of historical data in a remote geoDataBase (geoDB).

The NARVALO project: Real time collision avoidance system in a GIS environment based on precise GNSS positioning

Marzocchi, R.;Leotta, M.;Federici, B.;Delzanno, G.
2017

Abstract

NARVALO is a collision avoidance system for logistic platform areas that detects possible dangerous situations, which could lead to accidents, and consequently alerts vehicles and people involved. The system is based on the real time knowledge of precise position, speed and acceleration of the monitored vehicles and operators using ad-hoc GNSS (Global Navigation Satellite Systems)-IMU (Inertial Measurement Unit) receivers, core of the "NARVALO box". In this paper, we focus on the prototype of the control center developed for the real time evaluation of the collision risks. It consists of a Geographical Information System (GIS) collision avoidance algorithm, developed using geospatial open source C libraries (GDAL and OGR), and a server, developed using the C programming language, responsible for the scheduling of the GIS algorithm, the management of real time communications with the mobile devices and the storage of historical data in a remote geoDataBase (geoDB).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/888410
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