This paper describes several visual routines which can be used to assist the navigation of a car in an outdoor environment, such as streets and highways. These routines are based on the grouping of edge chains in two classes of straight segments and on a suitable segmentation of the image in different regions. Such routines are able to provide a preliminary recovery of the 3D structure of the viewed scene, in which the sides of the road and the buildings are detected, and to recognize several landmarks, such as street signs, trees and light lamps. These results suggest that it is possible to construct drivers' assistant systems based on computer vision technologies.

Visual routines for outdoor navigation

Campani M;
1993

Abstract

This paper describes several visual routines which can be used to assist the navigation of a car in an outdoor environment, such as streets and highways. These routines are based on the grouping of edge chains in two classes of straight segments and on a suitable segmentation of the image in different regions. Such routines are able to provide a preliminary recovery of the 3D structure of the viewed scene, in which the sides of the road and the buildings are detected, and to recognize several landmarks, such as street signs, trees and light lamps. These results suggest that it is possible to construct drivers' assistant systems based on computer vision technologies.
1993
Inglese
IEEE Intelligent Vehicles Symposium 1993
107
112
http://www.scopus.com/record/display.url?eid=2-s2.0-85064630561&origin=inward
Sì, ma tipo non specificato
14-16/07/1993
Tokyo, Japan, Japan
autonomous navigation optical flow edge de
optical flow
edge detection
6
none
Campani, M; Cappello, M; Piccioli, G; Reggi, E; Straforini, M; Torre, V
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/379396
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