Method for determining a course of a traffic lane for a vehicle
First Claim
1. Method for determining a course of a traffic lane for a subject vehicle (10), comprising:
- detecting structures that demarcate a trafficable space from image data provided by at least one image acquisition unit (2),plotting the structures on a surroundings map (20) that subdivides surroundings of the subject vehicle into a two-dimensional grid structure (20a) of cells (21),determining and continually updating a position of the subject vehicle in the grid structure (21) of the surroundings map (20) by at least odometric data of the subject vehicle (10),determining a distance and a direction of the subject vehicle (10) with respect to particular cells (21b) of the grid structure (20a) of the surroundings map (20) which feature physical structures that cannot be driven over by the subject vehicle and that demarcate a boundary of a pavement and/or the traffic lane,detecting bright-to-dark and dark-to-bright transitions in the image data and plotting the transitions on the cells (21) of the grid structure (20a) of the surroundings map (20), anddetermining the course of the traffic lane (22) from at least the cells having the detected bright-to-dark and dark-to-bright transitions.
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Accused Products
Abstract
In a method for determining a course of a traffic lane for a vehicle (10), structures that demarcate a trafficable space are detected in image data from an image acquisition unit (2), and these structures are plotted on a surroundings map (20) that subdivides the surroundings of the vehicle into a two-dimensional grid (20a) of cells (21). The position of the vehicle in the grid of the surroundings map is determined and updated by odometric data. The distance and the direction of the vehicle (10) relative to those cells (21b) of the grid (20a) having structures that demarcate the pavement and/or the traffic lane are determined. Brightness transitions in the image data are detected and are plotted on the cells (21) of the grid (20a). The course of the traffic lane (22) is determined from the cells with the detected brightness transitions.
45 Citations
11 Claims
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1. Method for determining a course of a traffic lane for a subject vehicle (10), comprising:
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detecting structures that demarcate a trafficable space from image data provided by at least one image acquisition unit (2), plotting the structures on a surroundings map (20) that subdivides surroundings of the subject vehicle into a two-dimensional grid structure (20a) of cells (21), determining and continually updating a position of the subject vehicle in the grid structure (21) of the surroundings map (20) by at least odometric data of the subject vehicle (10), determining a distance and a direction of the subject vehicle (10) with respect to particular cells (21b) of the grid structure (20a) of the surroundings map (20) which feature physical structures that cannot be driven over by the subject vehicle and that demarcate a boundary of a pavement and/or the traffic lane, detecting bright-to-dark and dark-to-bright transitions in the image data and plotting the transitions on the cells (21) of the grid structure (20a) of the surroundings map (20), and determining the course of the traffic lane (22) from at least the cells having the detected bright-to-dark and dark-to-bright transitions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of determining a course of a traffic lane on a roadway on which a vehicle is driving, comprising:
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with an image acquisition device of the vehicle, acquiring image data of surroundings of the vehicle including the roadway; evaluating the image data to detect brightness transitions therein; evaluating the image data to detect, in the surroundings, physical structures that cannot be driven over by the vehicle, and that bound the roadway or the traffic lane; forming a surroundings map by plotting the brightness transitions and the physical structures on a two-dimensional stationary grid of grid cells; among the grid cells, identifying first cells containing the brightness transitions and second cells containing the physical structures; and with odometric sensors of the vehicle, acquiring odometric data regarding the vehicle; from at least the odometric data, determining and updating a position of the vehicle on the grid of the surroundings map; and determining the course of the traffic lane from the first cells and the second cells.
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Specification