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US 11,699,306 B2Granted
Method and system for vehicle speed estimation
AssigneeCambridge Mobile Telematics Inc.
InventorsSushrut Karnik, Burak Erem, Yuting Qi, Sanujit Sahoo, Harrison Kitchen
Life of this patent
Estimating the term…
Abstract
Apparatuses and methods for predicting a crash using estimated vehicle speed. A set of sensor measurements are received from a mobile device disposed within a vehicle. A set of contiguous windows based on the sensor measurements may be defined. Each contiguous window represents a contiguous portion of the sensor measurements. A set of sensor measurements may be defined for each contiguous window. A trained neural network may execute, using the set of features, to generate one or more speed predictions. A vehicle crash prediction may be generated using the speed prediction. The vehicle crash prediction may then be transmitted to a remote device.
Claims20
A method comprising:
- receiving, from a mobile device disposed within a vehicle, a set of sensor measurements collected from an accelerometer of the mobile device during a first time period;
- converting the set of sensor measurements into a frequency domain using a Fourier transform;
- filtering, using a digital bandpass filter implemented in hardware or software of the mobile device or a server, the set of sensor measurements to eliminate high frequency sensor measurements from the set of sensor measurements;
- defining a set of contiguous windows based on a remaining sensor measurements in the set of sensor measurements, each contiguous window of the set of contiguous windows representing a contiguous portion of the remaining sensor measurements in the set of sensor measurements;
- generating, for each contiguous window of the set of contiguous windows, a set of features by resampling the remaining sensor measurements of the contiguous window at one or more predefined frequencies;
- generating an estimated speed of the vehicle during the first time period by executing a trained neural network using the set of features;
- generating a vehicle crash prediction using the estimated speed;
- and
- transmitting, to a remote device, the vehicle crash prediction.
6 more elements
A method comprising:
- receiving, from a mobile device disposed within a vehicle, a set of sensor measurements collected from an accelerometer of the mobile device;
- converting the set of sensor measurements into a frequency domain using a Fourier transform;
- filtering, using a digital bandpass filter implemented in hardware or software of the mobile device or a server, the set of sensor measurements to eliminate high frequency sensor measurements from the set of sensor measurements;
- generating a set of contiguous windows using remaining sensor measurements in the set of sensor measurements, wherein each contiguous window of the set of contiguous windows represent a subset of the remaining sensor measurements in the set of sensor measurements;
- generating, for each contiguous window of the set of contiguous windows, an estimated speed of the vehicle during each contiguous window by executing a trained neural network using the subset of the remaining sensor measurements in the set of sensor measurements represented by each contiguous window of the set of contiguous windows;
- receiving an indication that the vehicle is involved in a crash event;
- authenticating the crash event using the estimated speed;
- determining, based on authenticating the crash event, that the crash event did not occur;
- and
- purging, in response to determining that the crash event did not occur, the crash event from memory.
7 more elements
A mobile device comprising:
- one or more processors;
- an accelerometer;
- and
- a non-transitory computer-readable medium storing instructions, that when executed by the one or more processors, cause the one or more processors to perform operations including
- receiving, while the mobile device is disposed within a vehicle, a set of sensor measurements collected from the accelerometer of the mobile device during a first time period;
- converting the set of sensor measurements into a frequency domain using a Fourier transform;
- filtering, using a digital bandpass filter implemented in hardware or software of the mobile device, the set of sensor measurements to eliminate high frequency sensor measurements from the set of sensor measurements;
- defining a set of contiguous windows based on a remaining sensor measurements in the set of sensor measurements, each contiguous window of the set of contiguous windows representing a contiguous portion of the remaining sensor measurements in the set of sensor measurements;
- generating, for each contiguous window of the set of contiguous windows, a set of features by resampling the remaining sensor measurements of the contiguous window at one or more predefined frequencies;
- generating an estimated speed of the vehicle during the first time period by executing a trained neural network using the set of features;
- generating a vehicle crash prediction using the estimated speed;
- and
- transmitting, to a remote device, the vehicle crash prediction.
10 more elements
Dependencies are inferred from the claim text.