ROAD DEPARTURE SENSING AND INTELLIGENT DRIVING SYSTEMS AND METHODS

• US 20130321627A1
• Filed: 05/31/2012
• Published: 12/05/2013
• Est. Priority Date: 05/31/2012
• Status: Abandoned Application

• Current Assignee: BAE Systems Land and Armaments LP (BAE Systems Plc)
• Original Assignee: John C. Turn Jr
• Inventors: Turn, John C. Jr., Hoff, Paul W., Ronning, Don J., Stewart, Hamilton M.
• Application Number:
  US13/485,112
• Publication Number:
  US 20130321627A1
• Time in Patent Office: Days
• US Class Current: 348/148
• CPC Class Codes: B60W 30/00 Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
• 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
• CPC Class Codes: G06V 20/588 Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
• CPC Class Codes: H04N 23/21 from near infrared [NIR] radiation
• CPC Class Codes: H04N 23/71 Circuitry for evaluating the brightness variation
• CPC Class Codes: H04N 23/73 by influencing the exposure time
• CPC Class Codes: H04N 5/33 Transforming infrared radiation cameras or camera modules for generating image signals from infrared radiation H04N23/20; circuitry of SSIS for transforming infrared radiation into image signals H04N25/20

Abstract

A Road Departure Sensing and an Intelligent Driving System which uses near-infrared illumination to collect a continuous sequence of images from an area ahead of a moving vehicle, measure the distance to potential obstacles or obstructions, calculate the potential for collisions, detect the edges of a road or path or changes in the surface texture of a driving surface, and warn a vehicle operator in advance of the vehicle departing the drivable surface or communicate with an unmanned vehicle navigation system to sense and supply real-world navigational data. The unmanned vehicle navigation system can be integrated with existing civilian or military vehicles to provide autonomous or semi-autonomous vehicle operation.

Claims

1. A method of avoiding and preventing road departure of a vehicle, the method comprising:

providing an infrared illumination source directed at a road ahead of the vehicle;

providing an infrared illumination detector configured to collect reflected infrared illumination reflected from the road ahead of the vehicle;

periodically collecting a set of data representing the reflected infrared illumination from the infrared illumination detector in a buffer;

retrieving the data from a buffer;

analyzing the data with a processor configured to detect the edges of a road depicted in the data; and

providing an alarm based on the analysis of the data by the processor if the vehicle is on a course that would cross the detected edges of the road.

2. The method of claim 1, further comprising:

coupling the processor to a vehicle wheel-angle detection device;

further configuring the processor to analyze a trajectory of the vehicle.

3. The method of claim 1, further comprising:

coupling the processor to a vehicle speed detection sensor;

further configuring the processor to periodically retrieve a speed of the vehicle from the vehicle speed detection sensor.

4. The method of claim 3, further comprising:

activating an infrared illumination source only when the speed of the vehicle exceeds a preset rate.

5. The method of claim 1, further comprising:

dividing the data from the buffer into a plurality of regions of interest.

6. The method of claim 5, further comprising:

calculating a mean luminosity for each of the plurality of the regions of interest.

7. The method of claim 1, further comprising:

calculating a mean luminosity for a plurality of images and discarding any one of the plurality of images that has a mean luminosity outside of a predefined range.

8. The method of claim 1, wherein the infrared illumination detector comprises a camera that includes a charge coupled device (CCD) and an exposure mechanism configured to control the amount of CCD exposure.

11. The method of claim 1, wherein the set of data representing the reflected infrared illumination from the infrared illumination detector is collected in the buffer at a rate of at least thirty data sets per second.

12. The method of claim 11, further comprising:

discarding a plurality of the collected data sets based on a calculated value indicated a quality of the exposure of a one of the collected data sets.

13. The method of claim 12, wherein the plurality of discarded data sets is approximately half of the collected data sets.

14. The method of claim 12, further comprising:

performing an edge detection analysis only on a plurality of the collected data sets that were not discarded.

15. The method of claim 14, further comprising:

comparing the edges of a road depicted in the data with a predicted trajectory of the vehicle.

9. The method of claim 9, further comprising:

adjusting the exposure adjustment mechanism is adjusted in response to a calculation of a mean luminosity of the data received by the processor from the buffer.

10. The method of claim 9, further comprising:

providing a radar transceiver configured to collect reflected electronic signals reflected from an obstacle present in the road ahead of the vehicle; and

analyzing the reflected electronic signals with a processor configured to calculate the distance and bearing of the obstacle relative to the vehicle.

16. A road departure prevention system comprising:

an infrared illumination source mounted on a vehicle;

an infrared illumination detector mounted on the vehicle;

a processor coupled to the infrared illumination detector, wherein the processor is configured to periodically retrieve a set of data from the infrared illumination detector; and

an alarm mechanism coupled to the processor;

wherein the processor is further configured to activate the alarm mechanism in response to at least two sets of data retrieved from the infrared illumination detector that indicates that the vehicle may encounter an edge of a path.

17. The road departure prevention system of claim 16, further comprising:

a vehicle speed detection device.

18. The road departure prevention system of claim 16, wherein the infrared illumination source includes a near infrared laser.

19. The road departure prevention system of claim 18, wherein the near infrared laser emits infrared electromagnetic radiation with a wavelength of approximately 808 nanometers.

20. The road departure prevention system of claim 16, wherein the infrared illumination detector comprises a camera that includes a charge coupled device (CCD).

21. The road departure prevention system of claim 20, wherein the camera further includes a narrow band filter.

22. The road departure prevention system of claim 20, wherein the camera further includes an optical collimator.

23. The road departure prevention system of claim 16, further comprising a radar transceiver mounted on the vehicle and coupled to the processor;

wherein the processor is further configured to receive range and bearing angle for an obstacle in the path and provide an indication as to whether or not the vehicle will encounter the obstacle.

24. An autonomous vehicle comprising:

an infrared illumination source mounted on the vehicle;

an infrared illumination detector mounted on the vehicle;

a vehicle speed detection device;

a vehicle bearing sensor;

a processor coupled to the infrared illumination detector, wherein the processor is configured to periodically retrieve a set of data from the infrared illumination detector;

a radar transceiver mounted on the vehicle and coupled to the processor; and

an alarm mechanism coupled to the processor;

wherein the processor is further configured to activate the alarm mechanism in response to at least two sets of data retrieved from the infrared illumination detector that indicate that the vehicle may encounter an edge of a path;

wherein the processor is further configured to receive range and bearing angle for an obstacle in the path and provide an indication as to whether or not the vehicle will encounter the obstaclel.