System for determining road slipperiness in bad weather conditions
Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.
1. A system for determining road slipperiness, the system comprising:
a vehicle-mounted image sensor, for a vehicle, that is directed to a road surface and that captures an image of the road surface;
a controller that:
(i) receives the image of the road surface from the vehicle-mounted image sensor;
(ii) analyzes the image of the road surface from the vehicle-mounted image sensor to estimate one or more of: (i) a degree to which road markings painted on the road surface have faded, (ii) an age of the road, or (iii) an age of the road markings painted on the road surface;
(iii) estimates a road surface condition indicating a slipperiness of the road surface based on the analysis;
(iv) generates a slippage factor representing the estimated road surface condition; and
(v) when the slippage factor representing the estimated road surface condition exceeds a predetermined threshold, decelerates the vehicle.
2. The system of claim 1 , wherein the controller further: transmits a command to the image sensor to cause the image sensor to capture the image.
3. The system of claim 1 , wherein the controller causes the vehicle to decelerate by actuating a braking system of the vehicle.
4. The system of claim 1 , wherein the controller causes the vehicle to decelerate by reducing a throttle.
5. The system of claim 1 , wherein the image sensor is a laser camera.
6. The system of claim 1 , wherein the image sensor captures video.
7. The system of claim 1 , further comprising a risk index calculating system that calculates a risk index based on the estimated slipperiness of the road surface.
8. A method for determining road slipperiness, the method comprising:
capturing an image of a road surface via a vehicle-mounted image sensor for a vehicle;
transmitting the captured image to a controller;
analyzing, by the controller, one or more features of the received image to estimate one or more of: (i) a degree to which road markings painted on the road surface have faded, (ii) an age of the road, or (iii) an age of the road markings painted on the road surface;
estimating, by the controller, a road surface condition indicating a slipperiness of the road surface based on the analysis;
generating a slippage factor representing the estimated road surface condition indicating the slipperiness of the road surface; and
when the slippage factor representing the estimated road surface condition exceeds a predetermined threshold, causing the controller to decelerate the vehicle.
9. The method of claim 8 , further comprising: before capturing the image of the road surface, transmitting a command from the controller to the image sensor to cause the image sensor to capture the image.
10. The method of claim 8 , wherein causing the vehicle to decelerate comprises: actuating a braking system of the vehicle.
11. The method of claim 8 , causing the vehicle to decelerate comprises: reducing a throttle.
12. The method of claim 8 , wherein the image sensor is a laser camera.
13. The method of claim 8 , wherein the image sensor captures video.
14. The method of claim 8 , further comprising calculating a risk index based on the estimated slipperiness of the road surface.
15. A system for determining road slipperiness, the system comprising:
a means for capturing an image of a road surface within a proximity of a vehicle;
a means for analyzing one or more features of the received image to estimate one or more of: (i) a degree to which road markings painted on the road surface have faded, (ii) an age of the road, or (iii) an age of the road markings painted on the road surface;
a means for estimating a road surface condition indicating a slipperiness of the road surface based on the analysis;
a means for generating a slippage factor representing the estimated road surface condition indicating the slipperiness of the road surface; and
a controller that decelerates the vehicle when the slippage factor representing the estimated road surface condition exceeds a predetermined threshold.
16. The system of claim 15 , wherein the controller decelerates the vehicle via a braking system of the vehicle.
17. The system of claim 15 , wherein the controller decelerates the vehicle by reducing a throttle.
18. The system of claim 15 , wherein the means for capturing the image of the road surface comprises: a laser camera.
19. The system of claim 15 , wherein the means for capturing the image of the road surface comprises: a means for capturing video.
20. The system of claim 15 , further comprising a means for calculating a risk index based on the estimated slipperiness of the road surface.