Vehicle destination prediction

1. A power management device comprising:

a sensor interface configured to receive sensor data samples during operation of a vehicle;

a memory configured to store said sensor data samples for different points in time along a route segment traveled by said vehicle; and

a processor configured to (i) analyze said sensor data samples stored in said memory to detect a pattern and (ii) predict a destination of a driver in response to (a) said pattern and (b) historical data associated with operation of said vehicle, wherein (i) at least one of said sensor data samples is driver-related and (ii) at least one of said sensor data samples comprises telemetry data; and

wherein the historical data comprises: data, regarding multiple route segments, gathered from the driver's operation of the vehicle on the multiple route segments during multiple trips; data, regarding multiple sequences of route segments, gathered from the driver's operation of the vehicle on the multiple sequences of route segments during the multiple trips; and data, regarding multiple travel destinations, gathered from the driver's operation of the vehicle to the multiple travel destinations during the multiple trips.

2. The device according to claim 1 , wherein said telemetry data comprises map coordinates determined in response to a GPS signal.

3. The device according to claim 1 , wherein said telemetry data comprises map coordinates determined by a map service.

4. The device according to claim 1 , wherein said destination of said driver is predicted based on statistical destination logic.

5. The device according to claim 1 , wherein said processor is further configured to determine that a particular driver is operating said vehicle based on said pattern detected.

6. The device according to claim 1 , wherein said telemetry data is used to determine route segments.

7. The device according to claim 6 , wherein said pattern comprises which of said route segments said vehicle has traveled.

8. The device according to claim 1 , wherein said device is further configured to transmit said predicted destination to a remote database.

9. The device according to claim 8 , wherein said remote database is configured to receive a plurality of said predicted destinations and generate guidance information based on said plurality of said predicted destinations.

10. The device according to claim 8 , wherein said remote database is configured to (i) receive said sensor data samples and store said sensor data samples as said historical data and (ii) present said historical data to said device.

11. The device according to claim 1 , wherein said memory is further configured to store said historical data.

12. The device according to claim 1 , wherein said historical data comprises information about operation of said vehicle.

13. The device according to claim 1 , wherein at least one of said sensor data samples comprises a data sample from an optical sensor.

14. The device of claim 1 , wherein the historical data comprises data gathered from multiple trips of the driver's operation of the vehicle.

15. A method performed by a processor for predicting a destination of a vehicle, comprising the steps of:

(A) monitoring a plurality of sensors to generate sensor data samples during operation of a vehicle;

(B) storing said sensor data samples for different points in time along a route segment traveled by said vehicle;

(C) analyzing said sensor data samples to detect a pattern; and

(D) predicting a destination of a driver in response to (a) said pattern and (b) historical data associated with operation of said vehicle, wherein (i) at least one of said sensor data samples is driver-related and (ii) at least one of said sensor data samples comprises telemetry data;

wherein the historical data comprises: data, regarding multiple route segments, gathered from the driver's operation of the vehicle on the multiple route segments during multiple trips; data, regarding multiple sequences of route segments, gathered from the driver's operation of the vehicle on the multiple sequences of route segments during the multiple trips; and data, regarding multiple travel destinations, gathered from the driver's operation of the vehicle to the multiple travel destinations during the multiple trips.

16. A vehicle comprising:

a power train;

a drive train;

a sensor interface configured to receive sensor data samples during operation of a vehicle;

a storage device configured to store said sensor data samples for different points in time along a route segment traveled by said vehicle; and

a processor configured to (i) analyze said sensor data samples stored in said storage device to detect a pattern and (ii) predict a destination of a driver in response to (a) said pattern and (b) historical data associated with operation of said vehicle, wherein (i) at least one of said sensor data samples is driver-related and (ii) at least one of said sensor data samples comprises telemetry data;

wherein the historical data comprises: data, regarding multiple route segments, gathered from the driver's operation of the vehicle on the multiple route segments during multiple trips; data, regarding multiple sequences of route segments, gathered from the driver's operation of the vehicle on the multiple sequences of route segments during the multiple trips; and data, regarding multiple travel destinations, gathered from the driver's operation of the vehicle to the multiple travel destinations during the multiple trips.

17. The vehicle according to claim 16 , further comprising: a device configured to (i) receive said predicted destination and (ii) adapt an operation of said vehicle based on said predicted destination.