Video-Doppler-Radar Traffic Surveillance System

• US 20100328140A1
• Filed: 11/06/2008
• Published: 12/30/2010
• Est. Priority Date: 11/06/2008
• Status: Abandoned Application

• Current Assignee: Lang Hong, Steven Siying Hong
• Original Assignee: Lang Hong, Steven Siying Hong
• Inventors: Hong, Lang, Hong, Steven Siying
• Application Number:
  US12/266,227
• Publication Number:
  US 20100328140A1
• Time in Patent Office: Days
• US Class Current: 342/55
• CPC Class Codes: G01S 13/581 using transmission of interrupted pulse modulated waves and based upon the Doppler effect resulting from movement of targets
• CPC Class Codes: G01S 13/583 using transmission of continuous unmodulated waves, amplitude-, frequency-, or phase-modulated waves and based upon the Doppler effect resulting from movement of targets
• CPC Class Codes: G01S 13/62 Sense-of-movement determination G01S13/589 takes precedence
• CPC Class Codes: G01S 13/87 Combinations of radar systems, e.g. primary radar and secondary radar
• CPC Class Codes: G01S 13/92 for velocity measurement
• CPC Class Codes: G01S 7/292 Extracting wanted echo-signals

Abstract

This invention is related to a Video-Doppler-Radar Traffic Surveillance System comprising of multiple Doppler radars and video cameras, circuitry for processing radar and video signals, and data recording and displaying devices. Although the system is mainly designed for roadside traffic surveillance, it can be used in different applications, such as mounted on a host vehicle or on a UAV. The system will provide continuous surveillance of all incoming and leaving traffic.

Claims

1. A system of estimating a moving vehicle velocity, comprising:

a. generating said moving vehicle location on an image plane,

b. generating said moving vehicle location on a 3D line in a 3D reference coordinate,

c. generating a speed measurement of said moving vehicle, and

d. generating an estimate of said velocity of said vehicle,

whereby said method will estimate said vehicle velocity.

2. A system of estimating a moving vehicle velocity as recited in claim 1, wherein the method generates said vehicle location on said image plane by intersecting two Doppler circles.

3. A system of estimating a moving vehicle velocity as recited in claim 2, wherein the method generates said Doppler circles from Doppler differences.

4. A system of estimating a moving vehicle velocity as recited in claim 2, wherein the method generates said Doppler differences from a movable Doppler radar and a fixed Doppler radar.

5. A system of estimating a moving vehicle velocity as recited in claim 1, wherein the method generates said 3D location of said vehicle in a 3D reference coordinate by linking said vehicle locations on three 3D lines.

6. A system of estimating a moving vehicle velocity as recited in claim 5, wherein the method generates said 3D line by passing a 3D line through said Doppler circle intersection and a join of Doppler cone tips.

7. A system of estimating a moving vehicle velocity as recited in claim 5, wherein the method generates said Doppler cone from a Doppler angle.

8. A system of estimating a moving vehicle velocity as recited in claim 5, wherein the method generates said Doppler angle from Doppler radar signals.

9. A system of estimating a moving vehicle velocity as recited in claim 1, wherein the method generates said speed measurement of said moving vehicle from said fixed Doppler radar.

10. A system of estimating a moving vehicle velocity as recited in claim 1, wherein the method generates said velocity estimate of said moving vehicle by an estimator.

11. A system of estimating a moving vehicle velocity as recited in claim 10, wherein said estimator uses at least one vehicle model and one measurement model.

12. A system of estimating a moving vehicle velocity as recited in claim 1, wherein the method uses at least one movable Doppler radar, at least one fixed Doppler radar, and at least one video camera.

13. A system of estimating a moving vehicle velocity as recited in claim 1, wherein the method uses at least data processing device and at least one data recording device.