Proceedings of the Intelligent Vehicles '94 Symposium
DOI: 10.1109/ivs.1994.639538
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Image-based dynamic measurement for vehicle steering control

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Cited by 3 publications
(2 citation statements)
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“…Most authors, however, do make use of the position of the lane borders on a single image or on a sequence. The vanishing point and the position of the borders of a straight horizontal road on the bottom rows of a single image are used by Yeh et al [4] to determine the heading direction and the lateral position of the vehicle. For a curved horizontal road, Yokoyama and coauthors [5] computed the road curvature assuming that the position and heading of the vehicle was known from magnetic sensors.…”
Section: Introductionmentioning
confidence: 99%
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“…Most authors, however, do make use of the position of the lane borders on a single image or on a sequence. The vanishing point and the position of the borders of a straight horizontal road on the bottom rows of a single image are used by Yeh et al [4] to determine the heading direction and the lateral position of the vehicle. For a curved horizontal road, Yokoyama and coauthors [5] computed the road curvature assuming that the position and heading of the vehicle was known from magnetic sensors.…”
Section: Introductionmentioning
confidence: 99%
“…For a curved horizontal road, Yokoyama and coauthors [5] computed the road curvature assuming that the position and heading of the vehicle was known from magnetic sensors. By applying the formula of [4] to all the points of a horizontal road border and to their tangents, on a sequence of images, and by making use of sequential estimation (Kalman) techniques, Hsu et al [6] determined the lateral position of the vehicle, its heading direction, the time derivatives of the above quantities, and the road curvature.…”
Section: Introductionmentioning
confidence: 99%