ROAD CONDITION DETECTION

• US 20140160295A1
• Filed: 12/06/2012
• Published: 06/12/2014
• Est. Priority Date: 12/06/2012
• Status: Abandoned Application

• Current Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Original Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Inventors: Kyomitsu, Tatsuya, Sugimoto, Naoki
• Application Number:
  US13/707,017
• Publication Number:
  US 20140160295A1
• Time in Patent Office: Days
• US Class Current: 348/159
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/096716 where the received information does not generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096741 where the source of the transmitted information selects which information to transmit to each vehicle
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station

Abstract

Systems and methods of detection and notification of potential road conditions are disclosed herein. One such method can include the acts of receiving a first set of data associated with the location on the road surface from a first vehicle and identifying a first subset of the first set of data. The first subset can be associated with the potential road condition. The method can also include the acts of calculating a probability associated with the potential road condition based at least in part on the first subset, determining whether the probability exceeds a threshold, and notifying at least one vehicle of the potential road condition when the probability exceeds the threshold upon the at least one vehicle approaching the location.

Claims

1. A system that facilitates identification of a potential road condition associated with a road surface, comprising:

one or more vehicles, wherein at least a first vehicle of the one or more vehicles collects data associated with the potential road condition via one or more sensors, wherein the data comprises an approximate location of the potential road condition; and

one or more remote servers, wherein the one or more remote servers receives a first subset of the data collected by the at least the first vehicle, wherein the one or more remote servers determines a probability associated with the potential road condition based at least in part on the first subset, and wherein the one or more remote servers provides a notification to at least a second vehicle when the probability exceeds a threshold value.

2. The system of claim 1, wherein the one or more sensors comprises one or more cameras.

3. The system of claim 1, wherein the one or more sensors comprises a G sensor capable of determining acceleration.

4. The system of claim 1, wherein the data comprises information indicating a time at which the data was obtained.

5. The system of claim 4, wherein the one or more remote servers give a greater weight to a more recent subset of the data in determining the probability than a weight given to a less recent subset of the data.

6. The system of claim 1, wherein the at least the first vehicle comprises two or more vehicles, and wherein the probability is based at least in part on data received from each of the two or more vehicles.

7. The system of claim 1, wherein the one or more remote servers notifies an entity responsible for maintenance of the road surface when the probability exceeds the threshold value.

8. The system of claim 1, wherein the notification comprises visual data associated with the potential road condition.

9. The system of claim 1, wherein the notification comprises a combined estimate of a location of the potential road condition, wherein the combined estimate is more accurate than the approximate location data.

10. A system that facilitates monitoring a road surface, comprising:

one or more cameras that record visual data of the road surface, wherein a subset of the visual data is associated with a first potential road condition on the road surface; and

a controller area network (CAN) that collects potential road condition data and provides the potential road condition data to one or more remote servers, wherein the potential road condition data comprises location data associated with the potential road condition and the subset of the visual data from the one or more cameras.

11. The system of claim 10, further comprising a G sensor that records acceleration data of a vehicle, wherein at least a subset of the acceleration data is associated with the first potential road condition, and wherein the potential road condition data comprises the subset of the acceleration data from the G sensor.

12. The system of claim 10, further comprising a user interface, wherein the CAN receives a notification of a second potential road hazard from the one or more remote servers, and wherein the CAN provides the notification to a driver of a vehicle via the user interface.

13. The system of claim 12, wherein the potential road condition data comprises one or more inputs received via the user interface.

14. The system of claim 12, wherein the notification comprises visual data associated with the second potential road hazard.

15. The system of claim 10, wherein the potential road condition data comprises time data associated with the subset of the visual data.

16. A method of detecting a potential road condition at a location on a road surface, comprising:

receiving a first set of data associated with the location on the road surface from a first vehicle;

identifying a first subset of the first set of data, wherein the first subset is associated with the potential road condition;

calculating a probability associated with the potential road condition based at least in part on the first subset;

determining whether the probability exceeds a threshold; and

notifying at least one vehicle of the potential road condition when the probability exceeds the threshold upon the at least one vehicle approaching the location.

17. The method of claim 16, further comprising:

receiving a second set of data associated with the location on the road surface from a second vehicle;

identifying a second subset of the second set, wherein the second subset is associated with the potential road condition; and

adjusting a probability associated with the potential road condition based at least in part on the second subset.

18. The method of claim 17, wherein the first subset comprises a first estimate of the location of the potential road condition and the second subset comprises a second estimate of the location of the potential road condition, and wherein the notification comprises a combined estimate of the location that is more accurate than the first estimate and the second estimate.

19. The method of claim 16, wherein the notification comprises visual data associated with the potential road condition.

20. The method of claim 16, further comprising notifying an entity associated with maintenance of the road surface when the probability exceeds the threshold.