Assessment of electronic sensor data to remotely identify a motor vehicle and monitor driver behavior
A computing device is connected to a motor vehicle's diagnostic port or communication port to acquire vehicle sensor data, for example from various pressure, temperature, oxygen, fuel and other sensors typically installed on a motor vehicle for other reasons. Acquired sensor data is wirelessly transmitted to a remote server where the acquired sensor data can be compared to a database of stored sensor data to identify the motor vehicle. Additional functionality is described that leverages uploaded sensor data. Sensor data may be uploaded to the server in near-real time, and/or buffered locally and uploaded by periodic or episodic, push or pull communication protocols.
1. A method for remotely identifying a motor vehicle, comprising:
(a) electronically acquiring sensor data from a plurality of electronic sensors installed in the vehicle;
(b) transmitting the acquired sensor data via a wireless link, from the vehicle to a remote server;
(c) at the remote server, receiving the acquired sensor data and comparing the acquired sensor data to baseline data stored at the remote server;
(d) identifying the motor vehicle based on the said comparison; and
(e) characterizing a vehicle's dynamic state change to determine a rate of change profile for at least one of the plurality of electronic sensors installed in a given vehicle, and adding the dynamic state change profile to the stored baseline data for identifying the corresponding vehicle.
2. The method according to claim 1 wherein the stored baseline data includes sensor data previously acquired from a plurality of sensors on board each one of a plurality of motor vehicles.
3. The method according to claim 2 wherein the stored baseline data includes, for a selected vehicle, data acquired from at least three sensors selected from the group consisting of the following sensors—
engine coolant temperature
engine air temperature
fuel rail pressure
engine oil temperature
absolute throttle position limit
engine RPM at idle
Lambda exhaust oxygen sensor voltage.
4. The method according to claim 3 wherein the stored baseline data corresponding to at least one of the selected sensors includes first data acquired under a first operating condition of the corresponding motor vehicle, and second data acquired under a second operating condition of the corresponding motor vehicle.
5. The method according to claim 4 wherein the first operating condition of the corresponding motor vehicle is a cold condition and the second operating condition of the corresponding motor vehicle is a steady-state operating condition.
6. The method according to claim 5 wherein the steady-state operating condition is defined as a predetermined period of time after startup of the vehicle.
7. The method according to claim 1 wherein the dynamic state change is determined from a cold start condition to a predefined hot operating temperature.
8. The method according to claim 3 wherein said identifying the motor vehicle includes disambiguating among plural vehicles reporting similar sensor values, based on acquiring corresponding location data of each of the vehicles.
9. The method according to claim 8 wherein said acquiring corresponding location data of each of the vehicles from a GPS receiver located in the respective vehicle.