Method for obtaining an image of an object to be classified and associated system

Patent metadata

Field	Value
Publication number	US-11465552-B2
Application number	US-201917311564-A
Country	US
Kind code	B2
Filing date	Nov 19, 2019
Priority date	Dec 18, 2018
Publication date	Oct 11, 2022
Grant date	Oct 11, 2022

Abstract

A method for obtaining an image of an object to be classified for a driver assistance system of a motor vehicle, wherein the vehicle emits a plurality of selectively activatable light areas in front of it, at least partly forming an illuminating and/or signaling light beam. The method includes the following successive steps: —detecting an object to be classified by determining at least one parameter and defining a region comprising said object to be classified; —triggering an increase in the light intensity of said light areas illuminating said region; —taking at least one image of said object to be classified simultaneously with the triggering step; and—classifying the detected object on the basis of the at least one taken image. The invention also relates to a system for implementing said method and a vehicle comprising such a system. Lastly, the invention relates to a computer program product and a medium comprising such a program.

First claim

The invention claimed is:

1. A method for obtaining an image of an object to be classified for a system for assisting in driving a motor vehicle, wherein the vehicle emits, in front of it, a plurality of selectively activatable luminous zones at least partly forming a light beam for illuminating and/or signaling and the method comprises the following successive steps:
detecting an object to be classified by emitting electromagnetic waves toward the object, receiving reflected electromagnetic waves reflected from the object and analyzing the reflected electromagnetic waves to determine at least one parameter and define a region comprising said object to be classified;
triggering an increase in the luminous intensity of said luminous zones illuminating said region;
capturing at least one image of said object to be classified simultaneously with the triggering step; and
classifying the detected object on the basis of the at least one captured image.

2. The method as claimed in claim 1 , wherein the at least one parameter determined in the detecting step is taken from among:
the position of the object to be classified; and/or
the perceived area of the object to be classified; and/or
the speed of the object to be classified; and/or
the distance between the vehicle and the object to be classified.

3. The method as claimed in claim 2 , wherein the increase in the luminous intensity of the luminous zones forming said region extends over a period shorter than 0.6 s.

4. The method as claimed in claim 2 , further comprising, subsequent to the classifying step, a step of said vehicle acting depending on the classification of the detected object.

5. The method as claimed in claim 1 , wherein the increase in the luminous intensity of the luminous zones forming said region extends over a period shorter than 0.6 s.

6. The method as claimed in claim 1 , further comprising, in the event of failure to classify the detected object on the basis of the captured image, the following successive steps:
triggering a second increase in the luminous intensity of said luminous zones, greater than said increase in the luminous intensity,
capturing at least one second image of said object to be classified simultaneously with the triggering of the second increase in the luminous intensity of said luminous zones,
classifying the detected object on the basis of the at least one second captured image.

7. The method as claimed in claim 6 , further comprising, subsequent to the classifying step, a step of said vehicle acting depending on the classification of the detected object.

8. The method as claimed in claim 5 , further comprising, subsequent to the classifying step, a step of said vehicle acting depending on the classification of the detected object.

9. The method as claimed in claim 5 , wherein the increase in the luminous intensity of the luminous zones forming said region extends over a period shorter than 0.2 s.

10. The method as claimed in claim 1 , further comprising, subsequent to the classifying step, a step of said vehicle acting depending on the classification of the detected object.

11. The method as claimed in claim 10 , wherein the step of the vehicle acting comprises
a change in the trajectory of the vehicle; and/or
the vehicle braking; and/or
a step of warning the user; and/or
maintaining an initial trajectory and/or an initial speed.

12. A system for obtaining an image of an object to be classified for a vehicle comprising hardware and/or software elements implementing the method as claimed in claim 1 .

13. The system as claimed in claim 12 , wherein the hardware elements comprise all or some of the following elements:
a detection device configured to emit electromagnetic waves and to acquire a reflection of the emitted electromagnetic waves;
a lighting device able to form a plurality of selectively activatable luminous zones forming at least partly a light beam for illuminating and/or signaling;
an image capture device such as a camera.

14. A motor vehicle equipped with a driving assistance system comprising a system for obtaining an image of an object to be classified as claimed in claim 12 .

15. A computer program product comprising program code instructions stored on a computer-readable medium for implementing the steps of the method as claimed in claim 1 when said program is run on a computer or a computer program product that is downloadable from a communication network and/or stored on a data medium that is readable by a computer and/or executable by a computer.

16. A data storage medium, readable by a computer, on which is stored a computer program comprising program code instructions for implementing the method as claimed in claim 1 .

17. The method as claimed in claim 1 , wherein said emitting electromagnetic waves and receiving reflected electromagnetic waves comprises using lidar or radar to detect the object to be classified.

18. A method for obtaining an image of an object to be classified for a system for assisting in driving a motor vehicle, wherein the vehicle emits, in front of it, a plurality of selectively activatable luminous zones at least partly forming a light beam for illuminating and/or signaling and the method comprises the following successive steps:
detecting an object to be classified by determining at least one parameter and defining a region comprising said object to be classified, wherein the at least one parameter determined in the detecting step is taken from among:
the position of the object to be classified; and/or
the perceived area of the object to be classified; and/or
the speed of the object to be classified; and/or
the distance between the vehicle and the object to be classified;
triggering an increase in the luminous intensity of said luminous zones illuminating said region;
capturing at least one image of said object to be classified simultaneously with the triggering step; and
classifying the detected object on the basis of the at least one captured image; and in the event of failure to classify the detected object on the basis of the captured image, the following successive steps are performed:
triggering a second increase in the luminous intensity of said luminous zones, greater than said increase in the luminous intensity,
capturing at least one second image of said object to be classified simultaneously with the triggering of the second increase in the luminous intensity of said luminous zones,
classifying the detected object on the basis of the at least one second captured image.

Assignees

• Valeo Vision

Inventors

• Beev Kostadin
• Pellarin Marie
• Planche Gregory
• Jin Hui

Classifications

• G06F18/24

  Classification techniques · CPC title

• B60Q1/143 Primary

  combined with another condition, e.g. using vehicle recognition from camera images or activation of wipers · CPC title

• B60Q1/085

  due to special conditions, e.g. adverse weather, type of road, badly illuminated road signs or potential dangers (B60Q1/10, B60Q1/12, B60Q1/1423 take precedence) · CPC title

• B60Q2300/45

  Special conditions, e.g. pedestrians, road signs or potential dangers · CPC title

• G06V20/58 Primary

  Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads · CPC title