Method and system for impact time and velocity prediction

• US 8,447,472 B2
• Filed: 01/16/2007
• Issued: 05/21/2013
• Est. Priority Date: 01/16/2007
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Joh, Gyu Myeong, King, Anthony Gerald, Luo, Wangdong, Yung Kang Hung, Charlie, Shehan, Mark Alan
• Primary Examiner(s): Jen, Ian
• Application Number:
  US11/653,604
• Publication Number:
  US 20080172156A1
• Time in Patent Office: 2,317 Days
• Field of Search: 701/301
• US Class Current: 701/45
• CPC Class Codes: G01S 13/723 by using numerical data
• CPC Class Codes: G01S 13/86 Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
• CPC Class Codes: G01S 13/865 Combination of radar systems with lidar systems
• CPC Class Codes: G01S 13/931 of land vehicles
• CPC Class Codes: G01S 2013/9323 Alternative operation using light waves
• CPC Class Codes: G01S 2013/93276 in the windshield area

Abstract

A collision detection system includes at least one sensor. The data from the sensor is input to a recursive filter which selectively uses the input to predict the motion of a target object relative to a host vehicle. The recursive filter continues to use the data from the sensor until the target object is within a threshold distance of the host vehicle. Within the threshold distance, the sensor does not reliably provide accurate data. Accordingly, the recursive filter omits the sensor input from motion estimates when the target object is within the threshold distance, which leads to significant improvement in target motion prediction.

Claims

1. A system for impact time and velocity prediction, comprising:

at least one mid-range or long-range sensor operative to detect information regarding a geometric profile of a target object;

at least one short-range sensor behind a windshield on a downward angle, the short-range sensor being operative to detect information regarding a target object; and

a recursive filter in communication with each of the sensors to receive data therefrom;

wherein, when the target object is within a threshold distance of the host vehicle, detected information from the at least one short-range sensor is presumed inaccurate and the recursive filter omits said presumptively inaccurate information for use in predictions of at least a time and velocity of impact between the host vehicle and the target object.

2. The system of claim 1, wherein the at least one short-range sensor is a LIDAR sensor.

3. The system of claim 1, wherein the at least one mid-range or long-range sensor is a long-range LADAR sensor.

4. The system of claim 1, wherein the recursive filter is a Kalman filter.

5. The system of claim 1, wherein the prediction of the time or the velocity at which the host vehicle will impact the target object is used to prepare or activate vehicle safety systems.

10. The system of claim 1, wherein the system uses information detected by the short range sensor immediately preceding the target vehicle entering the threshold distance to predict at least the time and velocity of impact.

6. A method of predicting the time and/or velocity at which a host vehicle will impact an object, including:

obtaining data relating to a potential target object from a short-range sensor placed behind a windshield at a downward angle and a long-range sensor;

said data from said long range sensor including geometric profile of said target object;

providing the data as an input to a recursive filter;

determining a threshold distance between a target object and a host vehicle wherein data sensed from at least the short-range sensor is presumptively inaccurate; and

omitting presumptively inaccurate data in estimation calculations of at least the time and velocity at which a host vehicle will impact a target object.

7. The method of claim 6, wherein the short-range sensor is a LIDAR sensor.

8. The method of claim 6, wherein the long-range sensor is a LADAR sensor.

9. The method of claim 6, wherein the recursive filter is a Kalman filter.

11. The method of claim 6, further including predicting at least the time and velocity of impact by using information detected by the short range sensor immediately preceding the target vehicle entering the threshold distance.