This work presents the experience of the ARGO Project. It started in 1996 at the University of Parma, based on the previous experience within the European PROMETHEUS Project. In 1997 the ARGO prototype vehicle was set up with sen- sors and actuators, and the first version of the GOLD software sys- tem –able to locate one lane marking and generic obstacles on the vehicle’s path– was installed. In June 1998 the vehicle underwent a major test (the MilleMiglia in Automatico, a 2000 km tour on Ital- ian highways) in order to test the complete equipment. The analy- sis of this test allowed to improve the system. Tha paper presents the current implementation of the GOLD system, featured by en- hanced Lane Detection abilities and extended Obstacle Detection abilities, such as the detection of leading vehicles and pedestrians. Moreover it is described how this technology was transferred to the automatic driving of snowcats in extreme environments.
Experiments in Robotics for Intelligent Road Vehicles / Bertozzi, Massimo; Broggi, Alberto; Fascioli, Alessandra; Amos, Tibaldi. - (2002). (Intervento presentato al convegno 1a Conferenza Nazionale «Sistemi Autonomi Intelligenti e Robotica Avanzata»).
Experiments in Robotics for Intelligent Road Vehicles
BERTOZZI, Massimo;BROGGI, Alberto;FASCIOLI, Alessandra;
2002-01-01
Abstract
This work presents the experience of the ARGO Project. It started in 1996 at the University of Parma, based on the previous experience within the European PROMETHEUS Project. In 1997 the ARGO prototype vehicle was set up with sen- sors and actuators, and the first version of the GOLD software sys- tem –able to locate one lane marking and generic obstacles on the vehicle’s path– was installed. In June 1998 the vehicle underwent a major test (the MilleMiglia in Automatico, a 2000 km tour on Ital- ian highways) in order to test the complete equipment. The analy- sis of this test allowed to improve the system. Tha paper presents the current implementation of the GOLD system, featured by en- hanced Lane Detection abilities and extended Obstacle Detection abilities, such as the detection of leading vehicles and pedestrians. Moreover it is described how this technology was transferred to the automatic driving of snowcats in extreme environments.File | Dimensione | Formato | |
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