Recently, a large emphasis has been devoted to Automatic Vehicle Guidance since the automation of driving tasks carries a large number of benefits, such as the optimization of the use of transport infrastructures, the improvement of mobility, the minimization of risks, travel time, and energy consumption. This paper surveys the most common approaches to the challenging task of Autonomous Road Following reviewing the most promising experimental solutions and prototypes developed worldwide using AI techniques to perceive the environmental situation by means of artificial vision. The most interesting results and trends in this field as well as the perspectives on the evolution of intelligent vehicles in the next decades are also sketched out. Keywords Intelligent transportation systems (ITS); Automatic vehicle guidance; Intelligent vehicles; Machine vision

Vision-based Intelligent Vehicles: state of the art and perspectives / Bertozzi, Massimo; Broggi, Alberto; Fascioli, Alessandra. - In: ROBOTICS AND AUTONOMOUS SYSTEMS. - ISSN 0921-8890. - 32:(2000), pp. 1-16. [10.1016/S0921-8890(99)00125-6]

Vision-based Intelligent Vehicles: state of the art and perspectives

BERTOZZI, Massimo;BROGGI, Alberto;FASCIOLI, Alessandra
2000-01-01

Abstract

Recently, a large emphasis has been devoted to Automatic Vehicle Guidance since the automation of driving tasks carries a large number of benefits, such as the optimization of the use of transport infrastructures, the improvement of mobility, the minimization of risks, travel time, and energy consumption. This paper surveys the most common approaches to the challenging task of Autonomous Road Following reviewing the most promising experimental solutions and prototypes developed worldwide using AI techniques to perceive the environmental situation by means of artificial vision. The most interesting results and trends in this field as well as the perspectives on the evolution of intelligent vehicles in the next decades are also sketched out. Keywords Intelligent transportation systems (ITS); Automatic vehicle guidance; Intelligent vehicles; Machine vision
2000
Vision-based Intelligent Vehicles: state of the art and perspectives / Bertozzi, Massimo; Broggi, Alberto; Fascioli, Alessandra. - In: ROBOTICS AND AUTONOMOUS SYSTEMS. - ISSN 0921-8890. - 32:(2000), pp. 1-16. [10.1016/S0921-8890(99)00125-6]
File in questo prodotto:
File Dimensione Formato  
ras.pdf

non disponibili

Tipologia: Documento in Post-print
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 440.47 kB
Formato Adobe PDF
440.47 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/1449470
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 374
  • ???jsp.display-item.citation.isi??? 284
social impact