Time integration improves model based obstacle detection.

Author(s)
Denasi, S. & Quaglia, G.
Year
Abstract

The present paper proposes a computer vision algorithm which detects obstacles (namely vehicles) moving ahead of a vehicle, equipped with a forward looking TV camera, while it runs on highways. The algorithm is based on the evaluation of the edge segments, which are detected within a restricted area of interest located on the lane where the monitored vehicle moves. Geometrical and perceptual grouping of horizontal and vertical segments is compared with a simple model of vehicles and, exploiting time integration, reaches successful recognition in few images even if the obstacles appear far away near the horizon line and are merged with a cluttered background. Some results are presented using sequences of images recorded on highways near Torino. For the covering abstract see ITRD E114174.

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Publication

Library number
C 24461 (In: C 22454 CD-ROM) /91 / ITRD E115594
Source

In: From vision to reality : proceedings of the 7th World Congress on Intelligent Transportation Systems ITS, Turin, Italy, 6-9 November 2000, 7 p., 6 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.