Systems and methods for braking a vehicle based on a detected object
First Claim
1. A method for assessing an overall system failure rate associated with a braking decisioning system for a vehicle, comprising:
- determining, using a processing device, a first failure rate based on a change in texture between at least two of a first plurality of images of an area in front of the vehicle and based on a total number of times a textural analysis based sub-system makes a false braking decision among a total number of running hours of the textural analysis based sub-system;
determining, using the processing device, a second failure rate based on optical flow information derived from at least two of a second plurality of images of the area in front of the vehicle and based on a total number of times a structural analysis based sub-system makes a false braking decision among a total number of running hours of the structural analysis based sub-system;
determining, using the processing device, the overall system failure rate by multiplying the first failure rate with the second failure rate; and
causing, using the processing device, the vehicle to brake based on the overall system failure rate.
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Accused Products
Abstract
Systems and methods are provided for detecting an object and causing a vehicle to brake based on the detection. In one implementation, an object detecting and braking system for a vehicle includes at least one image capture device configured to acquire a plurality of images of an area including an object in front of the vehicle. The system includes at least one processing device programmed to perform a first image analysis to determine a first estimated time-to-collision of the vehicle with the object, and to perform a second image analysis to determine a second estimated time-to-collision of the vehicle with the object. The processing device is also programmed to calculate a difference between the first estimated time-to-collision and the second estimated time-to-collision, to determine that the difference does not exceed a predetermined threshold, and to cause the vehicle to brake based on the determination that the difference does not exceed the predetermined threshold.
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Citations
17 Claims
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1. A method for assessing an overall system failure rate associated with a braking decisioning system for a vehicle, comprising:
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determining, using a processing device, a first failure rate based on a change in texture between at least two of a first plurality of images of an area in front of the vehicle and based on a total number of times a textural analysis based sub-system makes a false braking decision among a total number of running hours of the textural analysis based sub-system; determining, using the processing device, a second failure rate based on optical flow information derived from at least two of a second plurality of images of the area in front of the vehicle and based on a total number of times a structural analysis based sub-system makes a false braking decision among a total number of running hours of the structural analysis based sub-system; determining, using the processing device, the overall system failure rate by multiplying the first failure rate with the second failure rate; and causing, using the processing device, the vehicle to brake based on the overall system failure rate. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for assessing an overall system failure rate associated with a braking decisioning system for a vehicle, comprising:
at least one processing device configured to; determine a first failure rate based on a change in texture between at least two of a first plurality of images of an area in front of the vehicle and based on a total number of times a textural analysis based sub-system makes a false braking decision among a total number of running hours of the textural analysis based sub-system; determine a second failure rate based on optical flow information derived from at least two of a second plurality of images of the area in front of the vehicle and based on a total number of times a structural analysis based sub-system makes a false braking decision among a total number of running hours of the structural analysis based sub-system; determine the overall system failure rate by multiplying the first failure rate with the second failure rate; and cause the vehicle to brake based on the overall system failure rate. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A non-transitory computer-readable medium storing instructions that, when executed by at least one processing device, cause the at least one processing device to perform a method for assessing an overall system failure rate associated with a braking decisioning system for a vehicle, the method comprising:
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determining a first failure rate based on a change in texture between at least two of a first plurality of images of an area in front of the vehicle and based on a total number of times a textural analysis based sub-system makes a false braking decision among a total number of running hours of the textural analysis based sub-system; determining a second failure rate based on optical flow information derived from at least two of a second plurality of images of the area in front of the vehicle and based on a total number of times a structural analysis based sub-system makes a false braking decision among a total number of running hours of the structural analysis based sub-system; determining the overall system failure rate by multiplying the first failure rate with the second failure rate; and causing the vehicle to brake based on the overall system failure rate.
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Specification