Path prediction for vehicular collision warning system

• US 6,542,111 B1
• Filed: 08/13/2001
• Issued: 04/01/2003
• Est. Priority Date: 08/13/2001
• Status: Expired due to Term

• Current Assignee: Yazaki North America Incorporated (Yazaki Corporation)
• Original Assignee: Yazaki North America Incorporated (Yazaki Corporation)
• Inventors: Wilson, Terry B.
• Primary Examiner(s): Tarcza, Thomas H.
• Assistant Examiner(s): Andrea, Brian K
• Application Number:
  US09/928,544
• Time in Patent Office: 596 Days
• Field of Search: 342/70, 342/71, 356/3-1-, 180/168, 180/169
• US Class Current: 342/70
• CPC Class Codes: B60T 7/22 initiated by contact of vehicle, e.g. bumper, with an external object, e.g. another vehicle , or by means of contactless obstacle detectors mounted on the vehicle
• CPC Class Codes: B60W 30/09 Taking automatic action to avoid collision, e.g. braking and steering
• CPC Class Codes: G01S 13/426 Scanning radar, e.g. 3D radar G01S13/66 takes precedence
• CPC Class Codes: G01S 13/726 Multiple target tracking
• CPC Class Codes: G01S 13/931 of land vehicles
• CPC Class Codes: G01S 2013/9321 Velocity regulation, e.g. cruise control
• CPC Class Codes: G01S 2013/93271 in the front of the vehicles
• CPC Class Codes: G08G 1/165 for passive traffic, e.g. including static obstacles, trees
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes

Abstract

A motor vehicular collision warning system including a scanned beam sensor, a signal processor, and a vehicle interface system that initiates warnings to the driver or adaptively controls the vehicle. Scene data is used to predict the path of the roadway in front of a subject vehicle. Reflections from manmade and natural scene objects are extracted from the scene data to define a linear feature edge. Once the feature edge is determined, the predicted path of the subject vehicle can be determined using information regarding the vehicle trajectory and the feature edge.

Claims

1. A path prediction method for a vehicular sensing system comprising:

(a) scanning a forward field of view by transmitting and receiving radar signals through an oscillating antenna that is driven to oscillate back and forth at a predetermined angle in each direction;

(b) detecting a variety of objects in the field of view and generating object data information;

(c) extracting object data information which relates to non-vehicle objects;

(d) discarding said object data information which pertains to extra large objects not in proximity to likely roadside objects;

(e) forming a linear feature edge based upon the extracted non-discarded object data information;

(f) extrapolating or interpolating one or more portions of the feature edge when there are discontinuities in the extracted non-discarded object data information;

(g) performing one or more smoothing steps upon the feature edge after the feature edge is formed; and

(h) determining a predicted path for a vehicle by using an offset with the feature edge.

2. The method of claim 1 wherein smoothing is applied to the feature edge to remove irregularities in the object data information.

3. The method of claim 1 wherein object data information is classified into different categories for determining the object data information to be extracted.

4. The method of claim 1 wherein the offset is a constant and the predicted path is the offset from the feature edge.

5. A sensing system including:

(a) an oscillating antenna scanner driven to oscillate back and forth at a predetermined angle in each direction while transmitting and receiving radar signals; and

(b) a signal processor which receives object data information and which extracts from such object data information any non-vehicular data information, discards the extracted object data information that pertains to extra large objects not in proximity to likely roadside objects, forms a linear feature edge based upon the extracted non-discarded object data information, extrapolates or interpolates one or more portions of the feature edge when discontinuities exist in the extracted non-discarded object data information, and smoothes the feature edge according to one or more steps, wherein the feature edge is used for predicting the path of a vehicle.