System and method for detecting road surface conditions

• US 9,355,319 B2
• Filed: 09/04/2013
• Issued: 05/31/2016
• Est. Priority Date: 05/09/2013
• Status: Active Grant

• Current Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Original Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Inventors: Min, Kyoung Moo, Choi, Eun Jin, Kim, Jin Hak, Jang, Yoon Ho
• Primary Examiner(s): Nguyen, John Q
• Assistant Examiner(s): WHALEN, MICHAEL F
• Application Number:
  US14/018,388
• Publication Number:
  US 20140336842A1
• Time in Patent Office: 1,000 Days
• US Class Current: 1/1
• CPC Class Codes: G06V 20/56 exterior to a vehicle by using sensors mounted on the vehicle
• CPC Class Codes: G06V 20/58 Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads

Abstract

A system for identifying road surface conditions includes a road surface measurement sensor attached to a vehicle and configured to generate a measurement signal for a road surface condition, and a controller. The controller is configured to digitalize the measurement signal received from the road surface measurement sensor, calculate a curvature pattern for the road surface condition based on the digitalized measurement signal, and compare the calculated curvature pattern with a pre-stored curvature pattern to identify the road surface condition.

Claims

1. A system for detecting road surface conditions, the system comprising:

a road surface measurement sensor attached to a vehicle and configured to generate a measurement signal for a road surface condition; and

a controller configured to digitalize the received measurement signal, convert the digitalized measurement signal into a coordinate value, extract a vector value based on the coordinate value, and calculate a curvature for the road surface condition using the vector value, calculate the curvature pattern for the road surface condition based on the calculated curvature, compare the calculated curvature pattern with the pre-stored curvature pattern to accumulate the number of times for a threshold period of time when the two curvature patterns match each other, and identify the road surface condition when the cumulative number of times is more than a threshold value,

wherein the threshold value is inversely proportional to a velocity of the vehicle.

2. The system of claim 1, further comprising a display unit configured to combine the identified road surface condition with image data corresponding to a location of the vehicle, and display a result of the combination.

3. The system of claim 2, further comprising a global positioning system (GPS) configured to identify the location of the vehicle.

4. The system of claim 3, wherein the controller is configured to map the road surface condition, the location of the vehicle identified in the GPS, and the image data, and store a result of the mapping.

5. A method for identifying road surface conditions, the method comprising:

receiving a measurement signal for a road surface condition corresponding to a location of a vehicle from a road surface measurement sensor through a controller;

digitalizing the received measurement signal and converting the digitalized measurement signal into a coordinate value;

extracting a vector value based on the coordinate value; and

calculating a curvature for the road surface condition using the vector value;

calculating a curvature pattern for the road surface condition based on the digitalized measurement signal;

comparing the calculated curvature pattern with the pre-stored curvature pattern to accumulate the number of times when the two curvature patterns match each other; and

identifying the road surface condition when the accumulated number of times is more than a threshold value, wherein the threshold value is inversely proportional to a velocity of the vehicle; and

displaying the identified road surface condition.

6. The method of claim 5, wherein the displaying of the identified road surface condition includes combining the identified road surface condition with image data corresponding to the location of the vehicle, and displaying a result of the combination.

7. The method of claim 6, further comprising identifying the location of the vehicle in which the road surface condition is displayed, mapping the road surface condition, the image data, and the location of the vehicle, and storing a result of the mapping, after the displaying of the identified road surface condition.