Road surface-based vehicle control
Systems and methods for determining the location of a vehicle are disclosed. In one embodiment, a method for localizing a vehicle includes driving over a first road segment, identifying by a first localization system a set of candidate road segments, obtaining vertical motion data while driving over the first road segment, comparing the obtained vertical motion data to reference vertical motion data associated with at least one candidate road segment, and identifying, based on the comparison, a location of the vehicle. The use of such localization methods and systems in coordination with various advanced vehicle systems such as, for example, active suspension systems or autonomous driving features, is contemplated.
1. A method of characterizing an obstacle in a road, the method comprising:
driving along the road in a vehicle, wherein the vehicle includes at least one wheel;
encountering the obstacle with the at least one wheel;
with at least one motion sensor, sensing a motion of a portion of the vehicle induced by the encounter with the obstacle;
determining at least one characteristic of the obstacle based on data collected from a motion sensor during the encounter; and
after the encounter, collecting additional information about the at least one characteristic of the obstacle with a backward-looking sensor.
2. The method of claim 1 , wherein the backward-looking sensor is activated by threshold motion of the portion the vehicle.
3. The method of claim 2 , wherein the threshold motion is a vertical motion.
4. The method of claim 2 , wherein the threshold motion is a threshold velocity.
5. The method of claim 1 , wherein the portion of the vehicle is an unsprung mass of the vehicle.
6. The method of claim 5 , wherein the unsprung mass includes the at least one wheel.
7. The method of claim 1 , wherein the at least one characteristic of the obstacle is collected by the backward-looking sensor after a time delay following a first motion of the portion of the vehicle, wherein the first motion has a magnitude greater than a threshold value.
8. The method of claim 1 , further comprising comparing the at least one characteristic based on the data collected from the motion sensor and the at least one characteristic based on the additional information collected from the backward-looking sensor.
9. The method of claim 1 , wherein the at least one characteristic includes a size of the obstacle.
10. The method of claim 1 , wherein the obstacle is selected from the group consisting of a pothole, a bump, and a foreign object.
11. The method of claim 1 , wherein the backward-looking sensor is an optical sensor.
12. The method of claim 11 , wherein the optical sensor is a camera.
13. The method of claim 12 , wherein the camera is used to classify or confirm a characteristic of the obstacle, and wherein the obstacle is associated with the road.
14. The method of claim 13 , wherein the characteristic is selected from the group consisting of: a type of the obstacle and the size of the obstacle.
15. The method of claim 1 , wherein the motion sensor is selected from the group consisting of an accelerometer, an IMU, and a gyroscope.
16. A method of characterizing a road surface including, the method comprising:
(a) driving over a portion of the road surface;
(b) determining one or more characteristics of the portion of the road surface while driving over the portion of the road surface using vertical motion of a portion of a vehicle; and
(c) detecting the one or more characteristics of the portion of the road surface with a backward-looking sensor after driving over the portion of the road surface.
17. The method of claim 16 , further comprising comparing the one or more characteristics determined in (b) with the one or more characteristics detected in (c).
18. The method of claim 16 , wherein the backward-looking sensor is activated by threshold vertical motion of the portion the vehicle.
19. The method of claim 18 , wherein the portion of the vehicle is an unsprung mass of the vehicle.
20. The method of claim 18 , wherein the threshold vertical motion is a threshold vertical acceleration.
21. The method of claim 18 , wherein the threshold vertical motion is a threshold vertical velocity.
22. The method of claim 16 , wherein the one or more characteristics of the portion of the road surface are detected by the backward-looking sensor after a time delay following a threshold vertical motion of the portion of the vehicle.
23. The method of claim 16 , wherein the backward-looking sensor is an optical sensor.
24. The method of claim 23 , wherein the optical sensor is a camera.
25. The method of claim 16 , wherein the vertical motion of the portion of the vehicle is sensed by an accelerometer.
26. A method of characterizing a road surface, the method comprising:
driving over the road surface with a vehicle;
detecting one or more characteristics of a portion of the road surface with a forward-looking sensor before driving over the portion of the road surface;
sensing a sequence of vertical motion of a portion of the vehicle while driving over the portion of the road surface;
based on the sequence of vertical motion, determining one or more characteristics of the portion of the road surface; and
comparing the detected one or more characteristics of the portion of the road surface with the one or more characteristics of the portion determined based on the sequence of vertical motion.
27. The method of claim 26 , further comprising:
based on the comparison, calibrating the forward-looking sensor if the one or more characteristics do not match the sequence of vertical motion.
28. The method of claim 27 , wherein calibrating the forward-looking sensor includes re-aligning the forward-looking sensor.
29. The method of claim 27 , further comprising alerting a user if the one or more characteristics do not match the one or more characteristics based on the sequence of vertical motion.
30. The method of claim 26 , wherein the sequence of vertical motion is sensed by an accelerometer.
31. The method of claim 26 , wherein the forward-looking sensor is an optical sensor.
32. The method of claim 31 , wherein the optical sensor is a LIDAR sensor.