Lane departure warning and avoidance system with warning modification criteria
First Claim
Patent Images
1. A lane departure detection and data fusion system adapted for use by an operator and with a vehicle traveling upon a thoroughfare, said system comprising:
- at least one lane-marking sensor configured to detect the position of the vehicle relative to at least one lane marking;
at least one condition sensor configured to determine at least one actual condition of the vehicle; and
a controller communicatively coupled to the lane marking and condition sensors, and configured to determine the distance or time to lane crossing between the vehicle and said at least one lane marking, alert the operator when the distance is less than a predetermined warning threshold, compare the actual condition to a predetermined estimated condition, so as to determine a condition deviation, and reduce the warning threshold, when the condition deviation is greater than a pre-determined tolerance factor (ε
).
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Abstract
A lane departure detection/avoidance and data fusion system adapted for use with a vehicle and by an operator, includes at least one lane-marking sensor, at least one condition sensor, and a controller communicatively coupled to the sensors, and configured to determine a condition deviation, and compare the condition deviation to a pre-determined condition threshold, so as to improve system identification of operator engagement, lane departure detection upon curves, and detection of performance degradation.
50 Citations
25 Claims
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1. A lane departure detection and data fusion system adapted for use by an operator and with a vehicle traveling upon a thoroughfare, said system comprising:
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at least one lane-marking sensor configured to detect the position of the vehicle relative to at least one lane marking;
at least one condition sensor configured to determine at least one actual condition of the vehicle; and
a controller communicatively coupled to the lane marking and condition sensors, and configured to determine the distance or time to lane crossing between the vehicle and said at least one lane marking, alert the operator when the distance is less than a predetermined warning threshold, compare the actual condition to a predetermined estimated condition, so as to determine a condition deviation, and reduce the warning threshold, when the condition deviation is greater than a pre-determined tolerance factor (ε
). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A lane deviation detection system adapted for use with a vehicle, said system comprising:
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at least one lane-marking sensor configured to detect the position of the vehicle relative to at least one lane marking, and including an image processor and at least one camera;
at least one condition sensor configured to determine at least one actual condition of the vehicle; and
a controller communicatively coupled to the lane-marking and condition sensors, presenting a warning algorithm, and configured to determine the distance between the vehicle and said at least one lane marking, alert the operator when the distance is less than a predetermined warning threshold, compare the actual condition to a predetermined calibration condition threshold, and adjust the warning algorithm, when the actual condition does not comply with the condition threshold. - View Dependent Claims (19, 20)
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- 21. A computer program for execution by at least one electronic device associated with a vehicle traveling upon a thoroughfare, wherein said vehicle has an operator, at least one lane-marking sensor, and at least one condition sensor, and said program is configured to receive lane marking and condition data from the sensors, determine the distance between the vehicle and said at least one lane marking, generate an electric warning flag so as to alert the operator when the distance or time to lane crossing is less than a predetermined warning threshold, compare the condition data to a predetermined estimated condition threshold, and modify the warning threshold, based on the condition data and threshold comparison.
Specification