Road-lane marker detection
First Claim
1. A method of detecting road lane markers using a light-based sensing technology, the method comprising the steps of:
- capturing reflectivity data using a light-based sensing device;
generating a light intensity signal based on the captured reflectivity data received by the light-based sensing device;
convolving the light intensity signal with a differential filter for generating a filter response that identifies a candidate lane marker region and ground segment regions juxtaposed on each side of the candidate lane marker region;
calculating a weighted standard deviation of data points within the identified candidate lane marker region;
calculating a standard deviation of data points within the ground segment regions juxtaposed to the candidate lane marker region;
determining an objective value for the identified candidate lane marker region as a function of the weighted standard deviation of data points within the candidate lane marker region, the weighted standard deviation of data points within the ground segment regions juxtaposed to the identified candidate lane marker region, and a number of data points contained within the identified candidate lane marker region; and
comparing the objective value to a respective threshold for determining whether the identified candidate lane marker region is a lane marker.
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Abstract
A method is provided for detecting road lane markers using a light-based sensing device. Reflectivity data is captured using the light-based sensing device. A light intensity signal is generated based on the captured reflectivity data. The light intensity signal is convolved with a differential filter for generating a filter response that identifies a candidate lane marker region and ground segment regions juxtaposed on each side of the candidate lane marker region. A weighted standard deviation of the data points within the identified candidate lane marker region and weighted standard deviation of the data points within the ground segment regions are calculated. An objective value is determined as a function of the respective weighted standard deviations. The objective value is compared to a respective threshold for determining whether the identified candidate lane marker region is a lane marker.
21 Citations
19 Claims
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1. A method of detecting road lane markers using a light-based sensing technology, the method comprising the steps of:
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capturing reflectivity data using a light-based sensing device; generating a light intensity signal based on the captured reflectivity data received by the light-based sensing device; convolving the light intensity signal with a differential filter for generating a filter response that identifies a candidate lane marker region and ground segment regions juxtaposed on each side of the candidate lane marker region; calculating a weighted standard deviation of data points within the identified candidate lane marker region; calculating a standard deviation of data points within the ground segment regions juxtaposed to the candidate lane marker region; determining an objective value for the identified candidate lane marker region as a function of the weighted standard deviation of data points within the candidate lane marker region, the weighted standard deviation of data points within the ground segment regions juxtaposed to the identified candidate lane marker region, and a number of data points contained within the identified candidate lane marker region; and comparing the objective value to a respective threshold for determining whether the identified candidate lane marker region is a lane marker. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 11)
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10. The method of claim 10 wherein a determined weight applied for determining the weighted standard deviation is represented by the equation:
- 12. The method of claim 12 wherein the respective balancing parameters are determined by a classifier.
- 13. The method of claim 13 wherein the respective balancing parameters are determined by a support vector machine classifier.
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16. A lane marker detection system comprising:
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a light-based sensing device for capturing reflectivity data; a processor for receiving the captured reflectivity data received by the light-based sensing system, the processor generating a light intensity signal based on the captured reflectivity data, the processor convolving the light intensity signal with a filter for generating a filter response for identifying a candidate lane marker region and adjacent ground segment regions, the processor determining a weighted standard deviation of data points within the candidate lane marker region and a weighted standard deviation of data points within the adjacent ground segments, the processor calculating an objective value for the identified candidate lane marker region as a function of the respective weighted standard deviations and a number of data points within the identified candidate lane marker region, the processor comparing the objective value to a threshold for determining whether the candidate lane marker region is a lane marker; and an output device identifying a location of each of the lane markers.
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- 17. The lane marker detection system of claim 17 further comprising a false alarm mitigation module for verifying whether the identified candidate lane marker region is the lane marker.
Specification