System and method for controlling navigation of a vehicle

• US 10,261,515 B2
• Filed: 03/17/2017
• Issued: 04/16/2019
• Est. Priority Date: 01/24/2017
• Status: Active Grant

• Current Assignee: Wipro Limited
• Original Assignee: Wipro Limited
• Inventors: Naik, Shrinath, Betageri, Basavaraj Shivappa
• Primary Examiner(s): Nolan, Peter D
• Application Number:
  US15/461,662
• Publication Number:
  US 20180210451A1
• Time in Patent Office: 760 Days
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2554/20 Static objects
• CPC Class Codes: B60W 2720/10 Longitudinal speed
• CPC Class Codes: B60W 2720/14 Yaw
• CPC Class Codes: B60W 30/09 Taking automatic action to avoid collision, e.g. braking and steering
• CPC Class Codes: G05D 1/0246 using a video camera in combination with image processing means
• CPC Class Codes: G06V 10/44 Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
• 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: G08G 1/165 for passive traffic, e.g. including static obstacles, trees

Abstract

This disclosure relates generally to controlling navigation of a vehicle and more particularly to a system and method for controlling the navigation of the vehicle based on a distance between the vehicle and an obstruction.

A system for controlling navigation of a vehicle is disclosed. The system comprises a processor and a memory communicatively coupled to the processor. The memory stores processor instructions, which, on execution, causes the processor to generate an embedded image comprising a pre-generated reference object image and an obstruction image. The processor further determines a reference-obstruction distance based on the embedded image, wherein the reference-obstruction distance is a distance between a reference object and an obstruction. The processor further determines a distance between the vehicle and the obstruction based on the reference-obstruction distance. The processor further controls navigation of the vehicle based on the distance between the vehicle and the obstruction.

Claims

1. A method of controlling navigation of a vehicle, the method comprising:

generating, by a processing circuit, an embedded image comprising a

pre-generated reference object image and an obstruction image, wherein the obstruction image is captured by an image capturing device associated with the vehicle,

wherein the pre-generated reference object image is extracted from a reference database using image capturing device parameters associated with the vehicle, and

wherein the image capturing device parameters comprises at least one of orientation of the image capturing device, height from ground level to a position of the image capturing device, or a vertical viewing angle of the image capturing device;

determining, by the processing circuit, a reference-obstruction distance based on the embedded image, wherein the reference-obstruction distance is a distance between a reference object and an obstruction;

determining, by the processing circuit, a distance between the vehicle and the obstruction based on the reference-obstruction distance; and

controlling, by the processing circuit, navigation of the vehicle based on the distance between the vehicle and the obstruction.

2. The method as claimed in claim 1, wherein determining the distance between the vehicle and the obstruction comprises:

extracting a distance between the vehicle and the reference object from the reference database using the height from the ground level to the position of image capturing device and the vertical viewing angle of the image capturing device; and

determining the distance between the vehicle and the obstruction based on the reference-obstruction distance and the distance between the vehicle and the reference object.

3. The method as claimed in claim 1, further comprising determining at least one of depth, width or height of the obstruction.

4. The method as claimed in claim 3, wherein controlling the navigation of the vehicle comprises controlling speed of the vehicle based on at least one of the distance between the vehicle and the obstruction, the depth, the width or the height of the obstruction.

5. The method as claimed in claim 3, wherein controlling the navigation of the vehicle comprises controlling direction of the vehicle based on at least one of the distance between the vehicle and the obstruction, the depth, the width or the height of the obstruction.

6. The method as claimed in claim 1, wherein the obstruction comprises at least one of a pothole, a hump or a speed bump.

7. A system for controlling navigation of a vehicle, the system comprising:

a processor;

a memory communicatively coupled to the processor, wherein the memory stores one or more processor-executable instructions, which, on execution, causes the processor to;

generate an embedded image comprising a pre-generated reference object image and an obstruction image, wherein the obstruction image is captured by an image capturing device associated with the vehicle,

wherein the pre-generated reference object image is extracted from a reference database using image capturing device parameters associated with the vehicle, and

wherein the image capturing device parameters comprises at least one of orientation of the image capturing device, height from ground level to a position of image capturing device, or a vertical viewing angle of the image capturing device;

determine a reference-obstruction distance based on the embedded image, wherein the reference-obstruction distance is a distance between a reference object and an obstruction;

determine a distance between the vehicle and the obstruction based on the reference-obstruction distance; and

control navigation of the vehicle based on the distance between the vehicle and the obstruction.

8. The system as claimed in claim 7, wherein the processor is configured to determine the distance between the vehicle and the obstruction by:

extracting a distance between the vehicle and the reference object from the reference database using the height from the ground level to the position of the image capturing device and the vertical viewing angle of the image capturing device; and

determining the distance between the vehicle and the obstruction based on the reference-obstruction distance and the distance between the vehicle and the reference object.

9. The system as claimed in claim 7, wherein the processor is further configured to determine at least one of depth, width or height of the obstruction.

10. The system as claimed in claim 9, wherein the processor is configured to control the navigation of the vehicle by controlling speed of the vehicle based on at least one of the distance between the vehicle and the obstruction, the depth, the width or the height of the obstruction.

11. The system as claimed in claim 9, wherein the processor is configured to control the navigation of the vehicle by controlling direction of the vehicle based on at least one of the distance between the vehicle and the obstruction, the depth, the width or the height of the obstruction.

12. The system as claimed in claim 7, wherein the obstruction comprises at least one of a pothole, a hump or a speed bump.