Collision detection system and method of operation
First Claim
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1. A method for detecting an erratic driver comprising:
- generating a sequence of frames of radar data using a radar system that provides speed data and location data for targets in a radar signal and assigns a unique identifier to each target;
receiving the sequence of frames of radar data at a processor;
generating target trajectory data for a vehicle using the processor;
generating an alarm as a function of the target trajectory data; and
wherein generating the target trajectory data for the vehicle using the processor comprises generating a probability density function for the vehicle.
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Abstract
A system for detecting driver vehicle travelling in an unsafe manner comprising a radar system configured to generate a sequence of frames of radar data. A target trajectory system configured to receive the sequence of frames of radar data and to generate target trajectory data for a vehicle. An alarm system configured to receive the target trajectory data and to generate an alarm as a function of the target trajectory data, a probability of collision, a degree of erratic driving or other suitable data.
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Citations
32 Claims
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1. A method for detecting an erratic driver comprising:
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generating a sequence of frames of radar data using a radar system that provides speed data and location data for targets in a radar signal and assigns a unique identifier to each target; receiving the sequence of frames of radar data at a processor; generating target trajectory data for a vehicle using the processor; generating an alarm as a function of the target trajectory data; and wherein generating the target trajectory data for the vehicle using the processor comprises generating a probability density function for the vehicle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method for detecting an erratic driver comprising:
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generating a sequence of frames of radar data using a radar system that provides speed data and location data for targets in a radar signal and assigns a unique identifier to each target; receiving the sequence of frames of radar data at a processor; generating target trajectory data for a vehicle using the processor; generating an alarm as a function of the target trajectory data; and wherein generating the target trajectory data for the vehicle using the processor comprises extrapolating a vehicle elevation for the vehicle as a function of historical elevation data for the vehicle. - View Dependent Claims (17, 18, 19, 20, 21)
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22. A method for detecting an erratic driver comprising:
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generating a sequence of frames of radar data using a radar system that provides speed data and location data for targets in a radar signal and assigns a unique identifier to each target; receiving the sequence of frames of radar data at a processor; generating target trajectory data for a vehicle using the processor; generating an alarm as a function of the target trajectory data; wherein generating the target trajectory data for the vehicle using the processor comprises; generating a first probability density function for the vehicle at a first time; generating a second probability density function for the vehicle at a second time; and determining whether the first probability density function is different from the second probability density function. - View Dependent Claims (23, 24)
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25. A method for detecting an erratic driver comprising:
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generating a sequence of frames of radar data using a radar system that provides speed data and location data for targets in a radar signal and assigns a unique identifier to each target; receiving the sequence of frames of radar data at a processor; generating target trajectory data for a vehicle using the processor; generating an alarm as a function of the target trajectory data; and determining a type of impairment as a function of target trajectory data of the vehicle. - View Dependent Claims (26)
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27. A method for detecting an erratic driver comprising:
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generating a sequence of frames of radar data using a radar system that provides speed data and location data for targets in a radar signal and assigns a unique identifier to each target; receiving the sequence of frames of radar data at a processor; generating target trajectory data for a vehicle using the processor; generating an alarm as a function of the target trajectory data; and wherein generating the target trajectory data for the vehicle using the processor comprises generating a probability density function corresponding to a probability of points of impact at an intersection of predicted target trajectory data with a vehicle outline. - View Dependent Claims (28)
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29. A method for detecting an erratic driver comprising:
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generating a sequence of frames of radar data using a radar system that provides speed data and location data for targets in a radar signal and assigns a unique identifier to each target; receiving the sequence of frames of radar data at a processor; generating target trajectory data for a vehicle using the processor; generating an alarm as a function of the target trajectory data; wherein generating the target trajectory data for the vehicle using the processor comprises applying a fuzziness factor that increases a standard deviation of a probability density function as a function of vehicle weaving and erratic target trajectory data. - View Dependent Claims (30)
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31. A method for detecting an erratic driver comprising:
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generating a sequence of frames of radar data using a radar system that provides speed data and location data for targets in a radar signal and assigns a unique identifier to each target; receiving the sequence of frames of radar data at a processor; generating target trajectory data for a vehicle using the processor; generating an alarm as a function of the target trajectory data; wherein generating the target trajectory data for the vehicle using the processor comprises applying a fuzziness factor that increases a standard deviation of a probability density function as a function of a target trajectory deviating from a normal path as indicated from road map information. - View Dependent Claims (32)
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Specification