Using environmental information to estimate sensor functionality for autonomous vehicles

1. A method comprising:

receiving, by one or more processors, first information identifying a current relative humidity measurement within a sensor housing of a vehicle having an autonomous driving mode;

using, by the one or more processors, the relative humidity measurement and pre-stored environmental map information to estimate a condition of a sensor within the sensor housing at a future time; and

controlling, by the one or more processors, the vehicle in accordance with the estimated condition.

2. The method of claim 1 , further comprising:

receiving second information identifying ambient temperature information for a driving environment of a second vehicle having an autonomous driving mode; and

using the received second information to update the environmental map, and wherein the updated environmental map information is compared to the relative humidity measurement.

3. The method of claim 1 , further comprising receiving second information identifying a current temperature within the sensor housing, wherein the environmental map includes temperature information, estimating the estimated condition includes using the temperature information to estimate an expected change in temperature within the sensor housing.

4. The method of claim 3 , wherein estimating the estimated condition includes estimating how the expected change in temperature and current relative humidity measurement will affect functionality of the sensor.

5. The method of claim 1 , further comprising determining a current dew point within the sensor housing, wherein estimating the estimated condition includes using the current dew point to estimate an expected change in condensation within the sensor housing.

6. The method of claim 1 , wherein the environmental map includes dew point information and estimating the estimated condition includes using the dew point information to estimate an expected change in condensation within the sensor housing.

7. The method of claim 1 , further comprising:

receiving second information identifying ambient relative humidity information for a driving environment of a second vehicle having an autonomous driving mode; and

using the received second information to update the environmental map, and wherein estimating the estimated condition includes comparing the updated environmental map information to the relative humidity measurement.

8. The method of claim 1 , further comprising receiving second information identifying a current temperature within the sensor housing, and wherein the current temperature is used to estimate the estimated condition.

9. The method of claim 1 , wherein controlling the vehicle includes preventing the vehicle from entering the autonomous driving mode.

10. The method of claim 1 , wherein controlling the vehicle includes:

preventing the vehicle from entering the autonomous driving mode until the sensor housing is serviced; and

after the sensor housing has been serviced, allowing the vehicle to enter the autonomous driving mode.

11. The method of claim 1 , wherein controlling the vehicle includes:

identifying one or more geographic areas that are expected to affect operation of the sensor in a particular way based on the estimated condition;

determining a route to a destination that avoids the identified one or more geographic areas; and

controlling the vehicle to follow the route in the autonomous driving mode.

12. The method of claim 1 , further comprising:

receiving second information identifying a new current relative humidity measurement within the sensor housing; and

using the relative humidity measurement and the new relative humidity measurement to determine whether there is a problem with a seal of the sensor housing.

13. A system comprising one or more processors configured to:

receive first information identifying a current relative humidity measurement within a sensor housing of a vehicle having an autonomous driving mode;

use the relative humidity measurement and pre-stored environmental map information to estimate a condition of a sensor within the sensor housing at a future time; and

control the vehicle in accordance with the estimated condition.

14. The system of claim 13 , wherein the one or more processors are further configured to:

receive second information identifying ambient temperature information for a driving environment of a second vehicle having an autonomous driving mode; and

use the received second information to update the environmental map, and wherein the updated environmental map information is compared to the relative humidity measurement.

15. The system of claim 13 , wherein the environmental map includes temperature information and the one or more processors are further configured to:

receive second information identifying a current temperature within the sensor housing; and

estimate the estimated condition by using the temperature information to estimate an expected change in temperature within the sensor housing.

16. The system of claim 15 , wherein the one or more processors are further configured to estimate the estimated condition by estimating how the expected change in temperature and current relative humidity measurement will affect functionality of the sensor.

17. The system of claim 13 , further comprising determining receiving second information identifying a current dew point within the sensor housing, wherein estimating the estimated condition includes using the current dew point to estimate an expected change in condensation within the sensor housing.

18. The system of claim 13 , wherein the environmental map includes dew point information and estimating the estimated condition includes using the dew point information to estimate an expected change in condensation within the sensor housing.

19. The system of claim 13 , wherein the one or more processors are further configured to:

receive second information identifying ambient relative humidity information for a driving environment of a second vehicle having an autonomous driving mode; and

use the received second information to update the environmental map, and

compare environmental map information to the relative humidity measurement in order to estimate the estimated condition.

20. The system of claim 13 , further comprising the vehicle.