Systems and methods for detecting traffic lights

US2022327843A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2022327843-A1
Application numberUS-202217848124-A
CountryUS
Kind codeA1
Filing dateJun 23, 2022
Priority dateJan 3, 2020
Publication dateOct 13, 2022
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

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Systems and methods are provided for vehicle navigation. In one implementation, a navigation system for a host vehicle may comprise at least one processor. The processor may be programmed to receive from a first camera at least a first captured image representative of an environment of the host vehicle. The processor may be programmed to receive from a second camera at least a second captured image representative of the environment of the host vehicle. Both the first captured image and the second image includes a representation of the traffic light, and wherein the second camera is configured to operate in a primary mode where at least one operational parameter of the second camera is tuned to detect at least one feature of the traffic light. The processor may be further programmed cause at least one navigational action by the vehicle based on analysis of the representation of the traffic light.

First claim

Opening claim text (preview).

1 . A navigation system for a host vehicle, the navigation system comprising: at least one processor comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processor to: receive at least a first captured image acquired by a first camera associated with the host vehicle, the first captured image being representative of an environment of the host vehicle; receive at least a second captured image acquired by a second camera associated with the host vehicle, the second captured image being representative of the environment of the host vehicle, wherein a field of view of the first camera at least partially overlaps with a field of view of the second camera, wherein the first captured image includes a representation of a traffic light in the environment of the host vehicle, wherein the second captured image also includes a representation of the traffic light, and wherein the second camera is configured to operate in a primary mode where at least one operational parameter of the second camera is tuned to detect at least one feature of the traffic light; and cause at least one navigational action by the host vehicle based on analysis of the representation of the traffic light in the at least a first captured image and based on analysis of the representation of the traffic light in the at least a second captured image. 2 . The navigation system of claim 1 , wherein the navigational action includes at least one of accelerating, braking, or turning the host vehicle. 3 . The navigation system of claim 1 , wherein the second camera includes a filter array configured to: pass light in a first band associated with an expected color of a red lamp associated with the traffic light; pass light in a second band associated with an expected color of an orange lamp associated with the traffic light; and pass light in a third band associated with an expected color of a yellow lamp associated with the traffic light; and wherein during the primary mode, the filter array is employed such that light having wavelengths within the first, second, and third bands is used to generate the at least a second captured image, with light having wavelengths outside the first, second, and third bands being attenuated relative to light within the first, second, and third bands. 4 . The navigation system of claim 1 , wherein, in the primary mode, the second camera is configured to operate with one or more of a frame capture rate, a sensor gain, or a sensor integration time selected to facilitate detection of an expected flicker associated with at least one lamp of the traffic light. 5 . The navigation system of claim 4 , wherein the expected flicker associated with at least one lamp of the traffic light has a frequency of between 80 HZ and 120 Hz. 6 . The navigation system of claim 1 , wherein, in the primary mode, the second camera is configured to operate with one or more of a frame capture rate, a sensor gain, or a sensor integration time selected to facilitate detection of an expected duty cycle associated with at least one lamp of the traffic light. 7 . The navigation system of claim 6 , wherein the expected duty cycle associated with at least one lamp of the traffic light is between 8% and 12%. 8 . The navigation system of claim 1 , wherein, in the primary mode, the at least one operational parameter of the second camera is tuned to detect a 100 Hz flicker rate of a red LED lamp that operates at a 10% duty cycle. 9 . The navigation system of claim 1 , wherein the second camera is configured to operate in a secondary mode, different in at least one respect relative to the primary mode. 10 . The navigation system of claim 9 , wherein, in the secondary mode, the at least one operational parameter of the second camera is de-tuned for detecting the at least one feature of the traffic light. 11 . The navigation system of claim 9 , wherein the second camera is configured to operate in the primary mode and the secondary mode during alternating frame captures. 12 . The navigation system of claim 9 , wherein the second camera is configured to operate in the primary mode full time. 13 . The navigation system of claim 9 , wherein the second camera is configured to selectively switch between the primary mode and the secondary mode. 14 . The navigation system of claim 9 , wherein the second camera is configured to alternatingly operate in the primary mode for a first plurality of frames and in the secondary mode for a second plurality of frames. 15 . The navigation system of claim 1 , wherein the execution of the instructions included in the memory further cause the at least one processor to: receive at least a third captured image acquired by a third camera associated with the host vehicle, the third captured image being representative of the environment of the host vehicle, wherein the field of view of the second camera at least partially overlaps with both the field of view of the first camera and a field of view of the third camera; and cause the at least one navigational action by the host vehicle based on analysis of the representation of the traffic light in the at least a second captured image and based on analysis of a representation of the traffic light in the at least a third captured image. 16 . The navigation system of claim 1 , wherein the traffic light includes at least one LED lamp. 17 . The navigation system of claim 1 , wherein the at least a first image includes a first stream of images. 18 . The navigation system of claim 1 , wherein the at least a second image includes a second stream of images. 19 . A method for navigating a host vehicle, the method comprising: receiving at least a first captured image acquired by a first camera associated with the host vehicle, the first captured image being representative of an environment of the host vehicle; receiving at least a second captured image acquired by a second camera associated with the host vehicle, the second captured image being representative of the environment of the host vehicle, wherein a field of view of the first camera at least partially overlaps with a field of view of the second camera, wherein the first captured image includes a representation of a traffic light in the environment of the host vehicle, wherein the second captured image also includes a representation of the traffic light, and wherein the second camera is configured to operate in a primary mode where at least one operational parameter of the second camera is tuned to detect at least one feature of the traffic light; and causing at least one navigational action by the host vehicle based on analysis of the representation of the traffic light in the at least a first captured image and based on analysis of the representation of the traffic light in the at least a second captured image. 20 . The method of claim 19 , wherein, in the primary mode, the second camera is configured to operate with one or more of a frame capture rate, a sensor gain, or a sensor integration time selected to facilitate detection of an expected flicker associated with at least one lamp of the traffic light. 21 . The method of claim 19 , wherein, in the primary mode, the second camera is configured to operate with one or more of a frame capture rate, a sensor gain, or a sensor integration time selected to facilitate detection of an expected duty cycle associated with at least one lamp of the traffic light. 22 .

Assignees

Inventors

Classifications

  • G01C21/26Primary

    specially adapted for navigation in a road network · CPC title

  • G06V20/584Primary

    of vehicle lights or traffic lights · CPC title

  • of traffic signs · CPC title

  • the filter being related to phase processing, e.g. phase-only filters · CPC title

  • Systems involving the acquisition of information from passive traffic signs by means mounted on the vehicle (G08G1/0967 takes precedence) · CPC title

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What does patent US2022327843A1 cover?
Systems and methods are provided for vehicle navigation. In one implementation, a navigation system for a host vehicle may comprise at least one processor. The processor may be programmed to receive from a first camera at least a first captured image representative of an environment of the host vehicle. The processor may be programmed to receive from a second camera at least a second captured i…
Who is the assignee on this patent?
Mobileye Vision Technologies Ltd
What technology area does this patent fall under?
Primary CPC classification G01C21/26. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Oct 13 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).