Navigating in snow
Systems and methods navigate a vehicle on a road with snow covering at least some lane markings and road edges. In one implementation, a system may include at least one processor programmed to receive from an image capture device, at least one environmental image forward of the vehicle, including areas where snow covers at least some lane markings and road edges, identify, based on an analysis of the at least one image, at least a portion of the road that is covered with snow and probable locations for road edges bounding the at least a portion of the road that is covered with snow, and cause the vehicle to navigate a navigational path that includes the identified portion of the road and falls within the determined probable locations for the road edges.
1. A system for navigating a vehicle on a road with snow covering at least some lane markings and road edges, the system comprising:
at least one processor programmed to:
receive from one or more image capture devices, a first environmental image forward of the vehicle and a second environmental image forward of the vehicle, the first environmental image and the second environmental image including areas where snow covers at least some lane markings and road edges, and wherein the first environmental image was captured using a first image capture parameter and the second environmental was captured using a second image capture parameter, the second image capture parameter being different from the first image capture parameter;
identify, based on an analysis of the first environmental image and the second environmental image, at least a portion of the road that is covered with snow and probable locations for road edges bounding the at least a portion of the road that is covered with snow; and
cause the vehicle to navigate a navigational path that includes the identified portion of the road and falls within the determined probable locations for the road edges.
2. The system of claim 1 , wherein the analysis of the at least one image includes identifying at least one tire track in the snow.
3. The system of claim 1 , wherein the analysis of the at least one image includes identifying a change of light across a surface of the snow.
4. The system of claim 1 , wherein the analysis of the at least one image includes identifying a plurality of trees along an edge of the road.
5. The system of claim 1 , wherein the analysis of the at least one image includes recognizing a change in curvature at a surface of the snow.
6. The system of claim 5 , wherein the recognized change in curvature is determined to correspond to a probable location of a road edge.
7. The system of claim 1 , wherein the analysis of the at least one image includes a pixel analysis of the at least one image in which at least a first pixel is compared to at least a second pixel in order to determine a feature associated with a surface of the snow covering at least some lane markings and road edges.
8. The system of claim 7 , wherein the feature corresponds to an edge of a tire track.
9. The system of claim 7 , wherein the feature corresponds to an edge of the road.
10. The system of claim 7 , wherein the at least one processor is further programmed to cause the vehicle to navigate between determined edges of the road.
11. The system of claim 7 , wherein the at least one processor is further programmed to cause the vehicle to navigate by at least partially following tire tracks in the snow.
12. A method of navigating a vehicle on a road with snow covering at least some lane markings and road edges, the method comprising:
receiving from one or more image capture devices, a first environmental image forward of the vehicle and a second environmental image forward of the vehicle, the first environmental image and the second environmental image including areas where snow covers at least some lane markings and road edges, and wherein the first environmental image was captured using a first image capture parameter and the second environmental was captured using a second image capture parameter, the second image capture parameter being different from the first image capture parameter;
identifying, based on an analysis of the first environmental image and the second environmental image, at least a portion of the road that is covered with snow and probable locations for road edges bounding the at least a portion of the road that is covered with snow; and
causing the vehicle to navigate a navigational path that includes the identified portion of the road and falls within the determined probable locations for the road edges.
13. The method of claim 12 , wherein the analysis of the at least one image includes identifying at least one tire track in the snow.
14. The method of claim 12 , wherein the analysis of the at least one image includes identifying a change of light across a surface of the snow.
15. The method of claim 12 , wherein the analysis of the at least one image includes identifying a plurality of trees along an edge of the road.
16. The method of claim 12 , wherein the analysis of the at least one image includes recognizing a change in curvature at a surface of the snow.
17. The method of claim 16 , wherein the recognized change in curvature is determined to correspond to a probable location of a road edge.
18. The method of claim 12 , wherein the analysis of the at least one image includes a pixel analysis of the at least one image in which at least a first pixel is compared to at least a second pixel in order to determine a feature associated with a surface of the snow covering at least some lane markings and road edges.
19. The method of claim 18 , wherein the feature corresponds to an edge of a tire track.
20. The method of claim 18 , wherein the feature corresponds to an edge of the road.
21. The method of claim 18 , further comprising causing the vehicle to navigate between determined edges of the road.
22. The method of claim 18 , further comprising causing the vehicle to navigate by at least partially following tire tracks in the snow.
23. The system of claim 1 , wherein the first image capture parameter includes a predetermined field of view.
24. The system of claim 1 , wherein the second image capture parameter includes a preset focal length.
25. The system of claim 1 , wherein the first environmental image and the second environmental image area captured from two different locations.
26. The system of claim 1 , wherein the first environmental image and the second environmental image are received from separate image capture devices, and the analysis of the first environmental image and the second environmental image includes a stereo image analysis.
27. The system of claim 1 , wherein the first environmental image and the second environmental image are received from the same image capture device, and the analysis of the first environmental image and the second environmental image includes an optical flow analysis.