The last few decades witnessed the birth and growth of a new sensibility to transportation efficiency. In particular, the need for efficient and improved people and goods mobility pushed researchers to address the problem of intelligent transportation systems. This paper surveys the most advanced approaches to the (partial) customization of road following task, using on-board systems based on artificial vision. The functionalities of lane detection, obstacle detection and pedestrian detection are described and classified, and their possible application on future road vehicles is discussed.

Artificial Vision in Road Vehicles / Bertozzi, Massimo; Broggi, Alberto; Massimo, Cellario; Fascioli, Alessandra; Paolo, Lombardi; Marco, Porta. - In: PROCEEDINGS OF THE IEEE. - ISSN 0018-9219. - 90:(2002), pp. 1258-1271. [10.1109/JPROC.2002.801444]

Artificial Vision in Road Vehicles

BERTOZZI, Massimo;BROGGI, Alberto;FASCIOLI, Alessandra;
2002-01-01

Abstract

The last few decades witnessed the birth and growth of a new sensibility to transportation efficiency. In particular, the need for efficient and improved people and goods mobility pushed researchers to address the problem of intelligent transportation systems. This paper surveys the most advanced approaches to the (partial) customization of road following task, using on-board systems based on artificial vision. The functionalities of lane detection, obstacle detection and pedestrian detection are described and classified, and their possible application on future road vehicles is discussed.
2002
Artificial Vision in Road Vehicles / Bertozzi, Massimo; Broggi, Alberto; Massimo, Cellario; Fascioli, Alessandra; Paolo, Lombardi; Marco, Porta. - In: PROCEEDINGS OF THE IEEE. - ISSN 0018-9219. - 90:(2002), pp. 1258-1271. [10.1109/JPROC.2002.801444]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/1449461
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