WO2022088913A1 - Imaging distance measurement sensor, method, and system, and storage medium - Google Patents

Imaging distance measurement sensor, method, and system, and storage medium Download PDF

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WO2022088913A1
WO2022088913A1 PCT/CN2021/115371 CN2021115371W WO2022088913A1 WO 2022088913 A1 WO2022088913 A1 WO 2022088913A1 CN 2021115371 W CN2021115371 W CN 2021115371W WO 2022088913 A1 WO2022088913 A1 WO 2022088913A1
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pixels
pixel
infrared
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张学勇
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Oppo广东移动通信有限公司
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • G01S17/89Lidar systems specially adapted for specific applications for mapping or imaging
    • G01S17/8943D imaging with simultaneous measurement of time-of-flight at a 2D array of receiver pixels, e.g. time-of-flight cameras or flash lidar
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/48Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/483Details of pulse systems
    • G01S7/486Receivers
    • G01S7/4861Circuits for detection, sampling, integration or read-out
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/48Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/483Details of pulse systems
    • G01S7/486Receivers
    • G01S7/4865Time delay measurement, e.g. time-of-flight measurement, time of arrival measurement or determining the exact position of a peak
    • G01S7/4866Time delay measurement, e.g. time-of-flight measurement, time of arrival measurement or determining the exact position of a peak by fitting a model or function to the received signal

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  • Computer Networks & Wireless Communication (AREA)
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  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Electromagnetism (AREA)
  • Optical Radar Systems And Details Thereof (AREA)
  • Measurement Of Optical Distance (AREA)

Abstract

The present application is applicable to the technical field of time of flight, and provides an imaging distance measurement sensor, method, and system, and a storage medium. The imaging distance measurement sensor comprises a plurality of pixels arranged in an array form; each pixel comprises at least four sub pixels arranged in an array form; each sub pixel comprises a single-photon photosensitive unit and an optical filter covering the single-photon photosensitive unit; and the at least four sub pixels comprise an infrared sub pixel, a red sub pixel, a green sub pixel, and a blue sub pixel, so that one imaging distance measurement sensor can have the function of simultaneously obtaining depth information and RGB information. A depth image obtained on the basis of the depth information and an RGB image obtained on the basis of the RGB information have no viewing angle difference, and alignment is not needed when image fusion is performed on the depth image and the RGB image, and thus, an operation resource and time can be effectively reduced.

Description

一种成像测距传感器、方法、系统及存储介质An imaging ranging sensor, method, system and storage medium
本申请要求于2020年10月28日提交中国专利局、申请号为202011173365.6、申请名称为“一种成像测距传感器、方法、系统及存储介质”的中国专利申请的优先权,其全部内容通过引用结合到本申请中。This application claims the priority of the Chinese patent application with the application number 202011173365.6 and the application name "An imaging ranging sensor, method, system and storage medium" filed with the China Patent Office on October 28, 2020, the entire content of which is approved by Reference is incorporated into this application.
技术领域technical field
本申请属于飞行时间(Time Of Flight,TOF)技术领域,尤其涉及一种成像测距传感器、方法、系统及存储介质。The present application belongs to the technical field of Time Of Flight (TOF), and in particular, relates to an imaging ranging sensor, method, system and storage medium.
背景技术Background technique
飞行时间测距法是通过向目标连续发送光脉冲信号,然后接收目标反射的光信号,通过探测光脉冲信号的飞行(往返)时间来得到目标的距离。基于飞行时间技术的单光子测距系统已被广泛应用于消费电子、无人架驶、虚拟现实、增强现实等领域。The time-of-flight ranging method obtains the distance of the target by continuously sending optical pulse signals to the target, then receiving the optical signal reflected by the target, and detecting the flight (round-trip) time of the optical pulse signal. Single-photon ranging systems based on time-of-flight technology have been widely used in consumer electronics, unmanned aerial vehicles, virtual reality, augmented reality and other fields.
发明内容SUMMARY OF THE INVENTION
本申请实施例提供了一种成像测距传感器、方法、系统及存储介质,能够解决现有技术中需要通过算法将深度图像与RGB图像进行对准,计算复杂且需要消耗运算资源和时间的问题。The embodiments of the present application provide an imaging ranging sensor, a method, a system and a storage medium, which can solve the problems in the prior art that the depth image and the RGB image need to be aligned through an algorithm, the calculation is complex, and computing resources and time are consumed .
本申请实施例的第一方面提供了一种成像测距传感器,包括以阵列形式排列的若干像素,每个所述像素包括以阵列形式排列的至少四个子像素,每个所述子像素包括一个单光子感光单元和覆盖所述单光子感光单元的滤光片,每个所述像素包括红外子像素、红色子像素、绿色子像素和蓝色子像素。A first aspect of the embodiments of the present application provides an imaging ranging sensor, which includes a plurality of pixels arranged in an array, each of the pixels includes at least four sub-pixels arranged in an array, and each of the sub-pixels includes one A single-photon photosensitive unit and a filter covering the single-photon photosensitive unit, each of the pixels includes an infrared sub-pixel, a red sub-pixel, a green sub-pixel and a blue sub-pixel.
本申请实施例的第二方面提供了一种成像测距方法,基于本申请实施例的第一方面所述的成像测距传感器实现,所述方法包括:A second aspect of the embodiments of the present application provides an imaging ranging method, which is implemented based on the imaging ranging sensor described in the first aspect of the embodiments of the present application, and the method includes:
获取每个像素输出的用于指示接收到物体反射的红外光线的时间的第一光感应信号;acquiring a first light sensing signal output by each pixel and used to indicate the time when infrared light reflected by the object is received;
获取每个像素输出的用于指示接收到物体反射的可见光线的时间的第二光感应信号;acquiring a second light sensing signal output by each pixel and used to indicate the time when the visible light reflected by the object is received;
根据所述第一光感应信号获取所述物体的深度信息;Acquiring depth information of the object according to the first light sensing signal;
根据所述第二光感应信号获取所述物体的RGB信息。The RGB information of the object is acquired according to the second light sensing signal.
本申请实施例的第三方面提供了一种成像测距系统,包括:A third aspect of the embodiments of the present application provides an imaging ranging system, including:
光发射器,用于向物体发射红外光线和可见光线;Light emitters for emitting infrared and visible light to objects;
如本申请实施例的第一方面所述的成像测距传感器;The imaging ranging sensor according to the first aspect of the embodiments of the present application;
控制器,分别与所述光发射器和所述成像测距传感器连接,用于执行如本申请实施例的第二方面所述的成像测距方法。A controller, connected to the light transmitter and the imaging ranging sensor, respectively, is configured to execute the imaging ranging method according to the second aspect of the embodiments of the present application.
本申请实施例的第四方面提供了一种计算机可读存储介质,所述计算机可读存储介质存储有计算机程序,所述计算机程序被控制器执行时实现如本申请实施例的第二方面所述的成像测距方法的步骤。A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by the controller, the implementation of the second aspect of the embodiments of the present application is implemented The steps of the imaging ranging method described above.
附图说明Description of drawings
为了更清楚地说明本申请实施例中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本申请的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。In order to illustrate the technical solutions in the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only for the present application. In some embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.
图1是本申请实施例提供的像素的第一种结构示意图;FIG. 1 is a first structural schematic diagram of a pixel provided by an embodiment of the present application;
图2是本申请实施例提供的像素的第二种结构示意图;2 is a schematic diagram of a second structure of a pixel provided by an embodiment of the present application;
图3是本申请实施例提供的像素的第三种结构示意图;3 is a schematic diagram of a third structure of a pixel provided by an embodiment of the present application;
图4是本申请实施例提供成像测距方法的流程示意图;4 is a schematic flowchart of an imaging ranging method provided by an embodiment of the present application;
图5是本申请实施例提供的对应关系表;5 is a correspondence table provided by an embodiment of the present application;
图6是本申请实施例提供的成像测距系统的结构示意图。FIG. 6 is a schematic structural diagram of an imaging ranging system provided by an embodiment of the present application.
具体实施方式Detailed ways
以下描述中,为了说明而不是为了限定,提出了诸如特定系统结构、技术之类的具体细节,以便透彻理解本申请实施例。然而,本领域的技术人员应当清楚,在没有这些具体细节的其它实施例中也可以实现本申请。在其它情况中,省略对众所周知的系统、系统、电路以及方法的详细说明,以免不必要的细节妨碍本申请的描述。In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are set forth in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, systems, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
应当理解,当在本申请说明书和所附权利要求书中使用时,术语“包括”指示所描述特征、整体、步骤、操作、元素和/或组件的存在,但并不排除一个或多个其它特征、整体、步骤、操作、元素、组件和/或其集合的存在或添加。It is to be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described feature, integer, step, operation, element and/or component, but does not exclude one or more other The presence or addition of features, integers, steps, operations, elements, components and/or sets thereof.
还应当理解,在本申请说明书和所附权利要求书中使用的术语“和/或”是指相关联列出的项中的一个或多个的任何组合以及所有可能组合,并且包括这些组合。It will also be understood that, as used in this specification and the appended claims, the term "and/or" refers to and including any and all possible combinations of one or more of the associated listed items.
如在本申请说明书和所附权利要求书中所使用的那样,术语“如果”可以依据上下文被解释为“当...时”或“一旦”或“响应于确定”或“响应于检测到”。类似地,短语“如果确定”或“如果检测到[所描述条件或事件]”可以依据上下文被解释为意指“一旦确定”或“响应于确 定”或“一旦检测到[所描述条件或事件]”或“响应于检测到[所描述条件或事件]”。As used in the specification of this application and the appended claims, the term "if" may be contextually interpreted as "when" or "once" or "in response to determining" or "in response to detecting ". Similarly, the phrases "if it is determined" or "if the [described condition or event] is detected" may be interpreted, depending on the context, to mean "once it is determined" or "in response to the determination" or "once the [described condition or event] is detected. ]" or "in response to detection of the [described condition or event]".
另外,在本申请说明书和所附权利要求书的描述中,术语“第一”、“第二”、“第三”等仅用于区分描述,而不能理解为指示或暗示相对重要性。In addition, in the description of the specification of the present application and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the description, and should not be construed as indicating or implying relative importance.
在本申请说明书中描述的参考“一个实施例”或“一些实施例”等意味着在本申请的一个或多个实施例中包括结合该实施例描述的特定特征、结构或特点。由此,在本说明书中的不同之处出现的语句“在一个实施例中”、“在一些实施例中”、“在其他一些实施例中”、“在另外一些实施例中”等不是必然都参考相同的实施例,而是意味着“一个或多个但不是所有的实施例”,除非是以其他方式另外特别强调。术语“包括”、“包含”、“具有”及它们的变形都意味着“包括但不限于”,除非是以其他方式另外特别强调。References in this specification to "one embodiment" or "some embodiments" and the like mean that a particular feature, structure or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in other embodiments," etc. in various places in this specification are not necessarily All refer to the same embodiment, but mean "one or more but not all embodiments" unless specifically emphasized otherwise. The terms "including", "including", "having" and their variants mean "including but not limited to" unless specifically emphasized otherwise.
飞行时间测距法是通过向目标连续发送光脉冲信号,然后接收目标反射的光信号,通过探测光脉冲信号的飞行(往返)时间来得到目标的距离。基于飞行时间技术的单光子测距系统已被广泛应用于消费电子、无人架驶、虚拟现实、增强现实等领域。The time-of-flight ranging method obtains the distance of the target by continuously sending optical pulse signals to the target, then receiving the optical signal reflected by the target, and detecting the flight (round-trip) time of the optical pulse signal. Single-photon ranging systems based on time-of-flight technology have been widely used in consumer electronics, unmanned aerial vehicles, virtual reality, augmented reality and other fields.
目前,大多数TOF器件都是专门用来测量距离,在实际应用中往往需要利用TOF器件测量的深度信息、利用RGB((红色(Red,R)、绿色(Green,G)、蓝色(Blue,B))图像传感器获得RGB信息,并对基于深度信息获得的深度图像和基于RGB信息获得RGB图像进行图像融合,然后需要通过算法将深度图像与RGB图像进行对准,计算复杂且需要消耗运算资源和时间。At present, most TOF devices are specially used to measure distance. , B)) The image sensor obtains RGB information, and performs image fusion on the depth image obtained based on the depth information and the RGB image obtained based on the RGB information, and then the depth image and the RGB image need to be aligned by an algorithm, which is complicated and requires computational complexity. resources and time.
基于此,本申请实施例提供了一种成像测距传感器、方法、系统及存储介质,可以解决现有技术中需要通过算法将深度图像与RGB图像进行对准,计算复杂且需要消耗运算资源和时间的问题。Based on this, the embodiments of the present application provide an imaging ranging sensor, method, system, and storage medium, which can solve the problem that in the prior art, the depth image and the RGB image need to be aligned through an algorithm, which is complicated in calculation and requires consumption of computing resources and question of time.
本申请实施例提供一种成像测距传感器,包括以阵列形式排列的若干像素,每个像素包括以阵列形式排列的至少四个子像素,每个子像素包括一个单光子感光单元和覆盖单光子感光单元的滤光片,每个像素包括红外子像素、红色子像素、绿色子像素和蓝色子像素。An embodiment of the present application provides an imaging ranging sensor, which includes several pixels arranged in an array, each pixel includes at least four sub-pixels arranged in an array, and each sub-pixel includes a single-photon photosensitive unit and a covering single-photon photosensitive unit Each pixel includes an infrared sub-pixel, a red sub-pixel, a green sub-pixel and a blue sub-pixel.
在应用中,成像测距传感器所包括的像素的个数可以根据实际需要进行设置,像素数量越多成像测距传感器的分辨率就越高。成像测距传感器中的若干像素可以以任意规则形状的阵列形式排列,例如,矩形阵列、圆形阵列或其他任意正多边形阵列。每个像素所包括的子像素数量可以根据实际需要进行设置,只要保证每个像素都包括红外子像素、红色子像素、绿色子像素和蓝色子像素,使得通过成像测距传感器获取物体的深度信息和RGB信息时,能够获得物体上与每个像素对应的每一反光点的深度信息和RGB信息即可。物体上的每一反光点的深度信息包括该反光点与成像测距传感器之间的距离,每一反光点的RGB信息包括该反光点的R值、G值和B值,R值、G值和B值具体可以是CIE光谱三刺激值。In applications, the number of pixels included in the imaging ranging sensor can be set according to actual needs, and the more the number of pixels, the higher the resolution of the imaging ranging sensor. Several pixels in an imaging ranging sensor can be arranged in an array of any regular shape, eg, a rectangular array, a circular array, or any other array of regular polygons. The number of sub-pixels included in each pixel can be set according to actual needs, as long as each pixel includes infrared sub-pixels, red sub-pixels, green sub-pixels and blue sub-pixels, so that the depth of the object can be obtained through the imaging ranging sensor information and RGB information, the depth information and RGB information of each reflective point corresponding to each pixel on the object can be obtained. The depth information of each reflective point on the object includes the distance between the reflective point and the imaging ranging sensor, and the RGB information of each reflective point includes the R value, G value and B value of the reflective point, R value, G value The and B values may specifically be CIE spectral tristimulus values.
在应用中,每个子像素都包括一个单光子感光单元和覆盖单光子感光单元的滤光片,红外子像素、红色子像素、绿色子像素和蓝色子像素的滤光片分别为仅可通过红外光线的红外滤光片、仅可通过红色光线的红色滤光片、仅可通过绿色光线的绿色滤光片和仅可通过蓝色光线的蓝色滤光片,各滤光片可以根据实际需要设置为反射型滤光片或吸收型滤 光片。In application, each sub-pixel includes a single-photon photosensitive unit and a filter covering the single-photon photosensitive unit. The filters of the infrared sub-pixel, red sub-pixel, green sub-pixel and blue sub-pixel are only passable Infrared filters for infrared light, red filters for only red light, green filters for only green light, and blue filters for only blue light. It needs to be set to a reflective filter or an absorptive filter.
在应用中,单光子感光单元可以是单光子雪崩二极管(Single Photon Avalanche Diode,SPAD),也可以是光电倍增管,单光子感光单元可以对入射的单个光子进行响应并输出用于指示光子到达单光子感光单元处的时间的光感应信号,基于单光子感光单元输出的光感应信号,可以利用时间相关单光子计数法(Time-Correlated Single Photon Counting,TCSPC)实现对微弱光信号的采集以及飞行时间的计算。In applications, the single-photon photosensitive unit can be a single-photon avalanche diode (Single Photon Avalanche Diode, SPAD), or a photomultiplier tube. The single-photon photosensitive unit can respond to an incident single photon and output it to indicate that the photon reaches the single photon. The light sensing signal of the time at the photon photosensitive unit, based on the light sensing signal output by the single photon photosensitive unit, can use the time-correlated single photon counting method (Time-Correlated Single Photon Counting, TCSPC) to realize the collection of weak light signals and the time of flight calculation.
本申请实施例的提供的成像测距传感器,包括以阵列形式排列的若干像素,每个所述像素包括以阵列形式排列的至少四个子像素,每个所述子像素包括一个单光子感光单元和覆盖所述单光子感光单元的滤光片,所述至少四个子像素包括红外子像素、红色子像素、绿色子像素和蓝色子像素,通过使每个像素都包括红外子像素、红色子像素、绿色子像素和蓝色子像素,并使每个子像素都由一个单光子感光单元和覆盖单光子感光单元的滤光片构成,使得一个成像测距传感器可以同时获取深度信息和RGB信息的功能,基于深度信息获得的深度图像和基于RGB信息获得RGB图像无视角差异,在对深度图像和RGB图像进行图像融合时无需对准,可以有效节省运算资源和时间。The imaging ranging sensor provided by the embodiments of the present application includes several pixels arranged in an array, each of the pixels includes at least four sub-pixels arranged in an array, and each of the sub-pixels includes a single-photon photosensitive unit and A filter covering the single-photon photosensitive unit, the at least four sub-pixels include infrared sub-pixels, red sub-pixels, green sub-pixels and blue sub-pixels, by making each pixel include infrared sub-pixels, red sub-pixels , green sub-pixels and blue sub-pixels, and each sub-pixel is composed of a single-photon photosensitive unit and a filter covering the single-photon photosensitive unit, so that an imaging ranging sensor can obtain the function of depth information and RGB information at the same time , the depth image obtained based on the depth information and the RGB image obtained based on the RGB information have no difference in perspective, and there is no need to align the depth image and the RGB image when performing image fusion, which can effectively save computing resources and time.
如图1所示,示例性的示出了成像测距传感器的第一种结构示意图;As shown in FIG. 1 , a first structural schematic diagram of an imaging ranging sensor is exemplarily shown;
其中,每个像素101包括四个红外子像素IR、三个红色子像素R、六个绿色子像素G和三个蓝色子像素B;Wherein, each pixel 101 includes four infrared sub-pixels IR, three red sub-pixels R, six green sub-pixels G and three blue sub-pixels B;
四个红外子像素IR以2×2阵列形式排列构成一个红外子像素单元10,一个红色子像素R、两个绿色子像素G和一个蓝色子像素B以拜 耳阵列形式排列构成一个彩色子像素单元20;Four infrared sub-pixels IR are arranged in a 2×2 array to form an infrared sub-pixel unit 10, and a red sub-pixel R, two green sub-pixels G and a blue sub-pixel B are arranged in a Bayer array to form a color sub-pixel unit 20;
每个像素101包括一个红外子像素单元10和三个彩色子像素单元20。Each pixel 101 includes one infrared sub-pixel unit 10 and three color sub-pixel units 20 .
在应用中,每个像素所包括的一个红外子像素单元和三个彩色子像素单元的排列方式可以根据实际需要进行设置,例如,以1×4、4×1或2×2阵列形式排列。In applications, the arrangement of one infrared sub-pixel unit and three color sub-pixel units included in each pixel can be set according to actual needs, for example, in a 1×4, 4×1 or 2×2 array.
图1示例性的示出一个红外子像素单元10和三个彩色子像素单元20以2×2阵列形式排列时,成像测距传感器的结构示意图。FIG. 1 exemplarily shows a schematic structural diagram of an imaging ranging sensor when one infrared sub-pixel unit 10 and three color sub-pixel units 20 are arranged in a 2×2 array.
图1所示的成像测距传感器的结构,通过将四个红外子像素以2×2阵列形式排列成一个红外子像素单元,可以将四个红外子像素合成(binning)一个超像素,例如,将四个红外子像素接入一个“或门”或者一个“与门”,形成一个红外超像素,可以有效提升红外感应信号的信噪比,提高测距精度;通过采用拜耳阵列形式(即RGGB)将一个红色子像素、两个绿色子像素和一个蓝色子像素排列成一个彩色子像素单元,可以采用成熟的基于拜耳阵列的算法还原色彩信息,成像准确度高。In the structure of the imaging ranging sensor shown in FIG. 1, by arranging four infrared sub-pixels in a 2×2 array into one infrared sub-pixel unit, four infrared sub-pixels can be binning into one super-pixel, for example, Connect four infrared sub-pixels to an "OR gate" or an "AND gate" to form an infrared superpixel, which can effectively improve the signal-to-noise ratio of the infrared sensing signal and improve the ranging accuracy; by using the Bayer array form (ie RGGB ) arranges one red sub-pixel, two green sub-pixels and one blue sub-pixel into a color sub-pixel unit, and can use a mature Bayer array-based algorithm to restore color information, with high imaging accuracy.
如图2所示,示例性的示出了成像测距传感器的第二种结构示意图,其中,每个像素102包括以2×2阵列形式排列的一个红外子像素IR、一个红色子像素R、一个绿色子像素G和一个蓝色子像素B。As shown in FIG. 2 , a schematic diagram of the second structure of the imaging ranging sensor is exemplarily shown, wherein each pixel 102 includes an infrared sub-pixel IR, a red sub-pixel R, One green sub-pixel G and one blue sub-pixel B.
图2所示的成像测距传感器的结构,通过将四个子像素以2×2阵列形式排列排列成一个像素,单个像素所占面积小,在同等面积下使得成像测距传感器可以容纳更多像素,从而可以有效提高成像测距传感器的分辨率,使得深度信息和RGB信息的融合结果更加准确。The structure of the imaging ranging sensor shown in Figure 2, by arranging four sub-pixels in a 2×2 array to form one pixel, a single pixel occupies a small area, and the imaging ranging sensor can accommodate more pixels under the same area , which can effectively improve the resolution of the imaging ranging sensor and make the fusion result of depth information and RGB information more accurate.
如图3所示,示例性的示出了成像测距传感器的第三种结构示意 图;As shown in FIG. 3 , the third structural schematic diagram of the imaging ranging sensor is exemplarily shown;
其中,每个像素103包括M×M个红外子像素IR、M×M个红色子像素R、M×M个绿色子像素G和M×M个蓝色子像素B;Wherein, each pixel 103 includes M×M infrared sub-pixels IR, M×M red sub-pixels R, M×M green sub-pixels G and M×M blue sub-pixels B;
M×M个红外子像素IR以阵列形式排列构成一个红外子像素单元1,M×M个红色子像素R以阵列形式排列构成一个红色子像素单元2,M×M个绿色子像素G以阵列形式排列构成一个绿色子像素单元3,M×M个蓝色子像素B以阵列形式排列构成一个蓝色子像素单元4;M×M infrared sub-pixels IR are arranged in an array to form an infrared sub-pixel unit 1, M×M red sub-pixels R are arranged in an array to form a red sub-pixel unit 2, and M×M green sub-pixels G are arranged in an array. A green sub-pixel unit 3 is arranged in a form, and M×M blue sub-pixels B are arranged in an array to constitute a blue sub-pixel unit 4;
每个像素103包括一个红外子像素单元1、一个红色子像素单元2、一个绿色子像素单元3和一个蓝色子像素单元4。Each pixel 103 includes an infrared sub-pixel unit 1 , a red sub-pixel unit 2 , a green sub-pixel unit 3 and a blue sub-pixel unit 4 .
在应用中,M为大于或等于2的整数,M的具体数值可以根据实际需要进行设置。每个像素所包括的一个红外子像素单元、一个红色子像素单元、一个绿色子像素单元和一个蓝色子像素单元的排列方式可以根据实际需要进行设置,例如,以1×4、4×1或2×2阵列形式排列。In application, M is an integer greater than or equal to 2, and the specific value of M can be set according to actual needs. The arrangement of one infrared sub-pixel unit, one red sub-pixel unit, one green sub-pixel unit and one blue sub-pixel unit included in each pixel can be set according to actual needs, for example, 1×4, 4×1 Or arranged in a 2x2 array.
图3示例性的示出了M=2且一个红外子像素单元、一个红色子像素单元、一个绿色子像素单元和一个蓝色子像素单元以2×2阵列形式排列时,成像测距传感器的结构示意图。FIG. 3 exemplarily shows that when M=2 and one infrared sub-pixel unit, one red sub-pixel unit, one green sub-pixel unit and one blue sub-pixel unit are arranged in a 2×2 array, the imaging distance measuring sensor Schematic.
图3所示的成像测距传感器的结构,通过将M×M个红外子像素以M×M阵列形式排列成一个红外子像素单元,可以将M×M个红外子像素合成一个红外超像素,例如,将四个红外子像素接入一个“或门”或者一个“与门”,形成一个红外超像素,可以有效提升红外感应信号信噪比,提高测距精度;In the structure of the imaging ranging sensor shown in FIG. 3, by arranging M×M infrared sub-pixels in an M×M array to form an infrared sub-pixel unit, M×M infrared sub-pixels can be combined into an infrared super-pixel, For example, connecting four infrared sub-pixels to an "OR gate" or an "AND gate" to form an infrared superpixel can effectively improve the signal-to-noise ratio of the infrared sensing signal and improve the ranging accuracy;
通过将M×M个红色子像素以M×M阵列形式排列成一个红色子像素单元,可以将M×M个红色子像素合成一个红色超像素,例如, 将四个红色子像素接入一个“或门”或者一个“与门”,形成一个红色超像素,可以有效提升红光感应信号信噪比,提高R值的精度;By arranging M×M red sub-pixels in an M×M array to form a red sub-pixel unit, M×M red sub-pixels can be combined into a red super-pixel, for example, four red sub-pixels are connected to a " "OR gate" or an "AND gate" to form a red superpixel, which can effectively improve the signal-to-noise ratio of the red light sensing signal and improve the accuracy of the R value;
通过将M×M个绿色子像素以M×M阵列形式排列成一个绿色子像素单元,可以将M×M个绿色子像素合成一个绿色超像素,例如,将四个绿色子像素接入一个“或门”或者一个“与门”,形成一个绿色超像素,可以有效提升绿光感应信号信噪比,提高G值的精度;By arranging M×M green sub-pixels in an M×M array to form a green sub-pixel unit, M×M green sub-pixels can be combined into a green super-pixel, for example, four green sub-pixels are connected to a " "OR gate" or an "AND gate" to form a green super pixel, which can effectively improve the signal-to-noise ratio of the green light sensing signal and improve the accuracy of the G value;
通过将M×M个蓝色子像素以M×M阵列形式排列成一个蓝色子像素单元,可以将M×M个蓝色子像素合成一个蓝色超像素,例如,将四个蓝色子像素接入一个“或门”或者一个“与门”,形成一个蓝色超像素,可以有效提升蓝光感应信号信噪比,提高B值的精度;By arranging M×M blue sub-pixels in an M×M array to form a blue sub-pixel unit, M×M blue sub-pixels can be combined into a blue superpixel, for example, four blue sub-pixels can be combined The pixel is connected to an "OR gate" or an "AND gate" to form a blue superpixel, which can effectively improve the signal-to-noise ratio of the blue light sensing signal and improve the accuracy of the B value;
每个像素中红色子像素单元、绿色子像素单元和蓝色子像素单元的结构,整体上可以提高RGB信息的精度。The structure of the red sub-pixel unit, the green sub-pixel unit and the blue sub-pixel unit in each pixel can improve the accuracy of the RGB information as a whole.
本申请实施例提供的成像测距传感器,通过使每个像素都包括红外子像素、红色子像素、绿色子像素和蓝色子像素,并使每个子像素都由一个单光子感光单元和覆盖单光子感光单元的滤光片构成,使得一个成像测距传感器可以同时获取深度信息和RGB信息的功能,基于深度信息获得的深度图像和基于RGB信息获得RGB图像无视角差异,在对深度图像和RGB图像进行图像融合时无需对准,可以有效节省运算资源和时间。In the imaging ranging sensor provided by the embodiments of the present application, each pixel includes an infrared sub-pixel, a red sub-pixel, a green sub-pixel, and a blue sub-pixel, and each sub-pixel is composed of a single-photon photosensitive unit and a single-photon coverage unit. The filter composition of the photon photosensitive unit enables an imaging ranging sensor to obtain the function of depth information and RGB information at the same time. There is no difference in perspective between the depth image obtained based on the depth information and the RGB image obtained based on the RGB information. Image fusion does not require alignment, which can effectively save computing resources and time.
如图4所示,基于上述任一实施例中成像测距传感器的结构,本申请实施例还提供一种成像测距方法,包括:As shown in FIG. 4 , based on the structure of the imaging ranging sensor in any of the foregoing embodiments, an embodiment of the present application further provides an imaging ranging method, including:
步骤S201、获取每个像素输出的用于指示接收到物体反射的红外光线的时间的第一光感应信号;Step S201, obtaining a first light sensing signal output by each pixel and used to indicate the time when the infrared light reflected by the object is received;
步骤S202、获取每个像素输出的用于指示接收到物体反射的可见光线的时间的第二光感应信号;Step S202, acquiring a second light sensing signal output by each pixel and used to indicate the time when the visible light reflected by the object is received;
步骤S203、根据所述第一光感应信号获取所述物体的深度信息;Step S203, acquiring depth information of the object according to the first light sensing signal;
步骤S204、根据所述第二光感应信号获取所述物体的RGB信息。Step S204: Acquire RGB information of the object according to the second light sensing signal.
本申请实施例提供的成像测距方法,基于本申请实施例提供的成像测距传感器实现,通过获取每个像素输出的用于指示接收到物体反射的红外光线的时间的第一光感应信号;获取每个像素输出的用于指示接收到物体反射的可见光线的时间的第二光感应信号;根据所述第一光感应信号获取所述物体的深度信息;根据所述第二光感应信号获取所述物体的RGB信息,可以直接通过成像测距传感器输出的第一光感应信号和第二光感应信号,分别获取物体的深度信号和RGB信息,使得基于深度信息获得的深度图像和基于RGB信息获得RGB图像无视角差异,在对深度图像和RGB图像进行图像融合时无需对准,可以有效节省运算资源和时间。The imaging ranging method provided by the embodiment of the present application is implemented based on the imaging ranging sensor provided by the embodiment of the present application, by acquiring a first light sensing signal output by each pixel and used to indicate the time when infrared light reflected by an object is received; Obtain a second light sensing signal output by each pixel and used to indicate the time when the visible light reflected by the object is received; obtain depth information of the object according to the first light sensing signal; obtain according to the second light sensing signal The RGB information of the object can directly obtain the depth signal and RGB information of the object through the first light sensing signal and the second light sensing signal output by the imaging ranging sensor, so that the depth image obtained based on the depth information and the RGB information based on the depth image. There is no difference in viewing angle to obtain RGB images, and no alignment is required when performing image fusion between depth images and RGB images, which can effectively save computing resources and time.
在应用中,每个像素中的红外子像素用于接收物体上相应位置处的反光点所反射的红外光线,并在接收到该红外光线时输出第一光感应信号,基于接收到该第一光感应信号的时间和向物体发射红外光线的时间,即可利用飞行时间法计算出物体上每个反光点与成像测距传感器之间的距离,物体的深度信息包括物体上所有反光点与成像测距传感器之间的距离,基于物体的深度信息可得到物体的深度图像。在成像测距传感器仅用于获取深度信息时,也可以根据第二光感应信号获取物体的深度信息,也即基于接收到第二光感应信号的时间和向物体发射可见光线的时间,即可利用飞行时间法计算出物体上每个反光点与成像测距传感 器之间的距离。In application, the infrared sub-pixel in each pixel is used to receive the infrared light reflected by the reflective point at the corresponding position on the object, and output a first light sensing signal when receiving the infrared light, based on the reception of the first light The time of the light sensing signal and the time of emitting infrared light to the object, the time-of-flight method can be used to calculate the distance between each reflective point on the object and the imaging ranging sensor. The depth information of the object includes all the reflective points on the object and the imaging distance. The distance between the ranging sensors, and the depth image of the object can be obtained based on the depth information of the object. When the imaging ranging sensor is only used to obtain depth information, the depth information of the object can also be obtained according to the second light-sensing signal, that is, based on the time when the second light-sensing signal is received and the time when visible light is emitted to the object. The time-of-flight method is used to calculate the distance between each reflective point on the object and the imaging ranging sensor.
应理解,由于物体的深度信息包括物体上各反光点与成像测距传感器之间的距离,因此,该成像测距传感器除了用于获得深度信息和RGB信息之外,还可以用于测距。It should be understood that since the depth information of the object includes the distance between each reflective point on the object and the imaging ranging sensor, the imaging ranging sensor can also be used for ranging in addition to obtaining depth information and RGB information.
在应用中,每个像素中的彩色子像素用于接收物体上相应位置处的反光点所反射的可见光线,并在接收到该可见光线时输出第二光感应信号,基于第二光感应信号即可获得物体上每个反光点的RGB值(包括R值、G值和B值),物体的RGB信息包括物体上所有反光点的RGB值,基于物体的RGB信息得到物体的RGB图像。同理,基于第一光感应信号也可以获得物体的红外图像信息,并基于红外图像信息得到物体的红外图像。In application, the colored sub-pixels in each pixel are used to receive visible light reflected by the reflective point at the corresponding position on the object, and output a second light-sensing signal when receiving the visible light, based on the second light-sensing signal The RGB value (including R value, G value and B value) of each reflective point on the object can be obtained, the RGB information of the object includes the RGB value of all reflective points on the object, and the RGB image of the object is obtained based on the RGB information of the object. Similarly, the infrared image information of the object can also be obtained based on the first light sensing signal, and the infrared image of the object can be obtained based on the infrared image information.
在一个实施例中,成像测距方法,包括:In one embodiment, an imaging ranging method includes:
根据所述第一光感应信号,获取所述物体反射的红外光线的光强度;obtaining the light intensity of the infrared light reflected by the object according to the first light sensing signal;
根据所述物体反射的红外光线的光强度,获取所述物体的红外图像信息;obtaining infrared image information of the object according to the light intensity of the infrared light reflected by the object;
步骤S204包括:Step S204 includes:
根据所述第二光感应信号,获取所述物体反射的可见光线的光强度;obtaining the light intensity of the visible light reflected by the object according to the second light sensing signal;
根据所述物体反射的可见光线的光强度,获取所述物体的RGB信息;Acquire RGB information of the object according to the light intensity of the visible light reflected by the object;
在应用中,物体的红外图像信息是基于物体上各反射点所反射的红外光线的光强度获取,同理,物体的RGB信息是基于物体上各反射点 所反射的可见光线的光强度获取。根据物体上各点所反射的红外光线的光强度,可以获得物体的红外图像信息中与各反光点对应的明度值,明度值在红外图像中可以体现为灰度值,基于物体的红外图像信息获得的红外图像为仅包含各反光点对应的灰度值的灰度图像。根据物体上各反光点所反射的可见光线的光强度,可以获得物体的RGB信息中与各反光点对应的明度值,根据各反光点的明度值和其对应的像素中各彩色像素的颜色,基于三刺激值的计算公式,可以获得各反光点的RGB值,从而得到包括物体的各反光点的RGB值的RGB信息,进而得到物体的RGB图像。In the application, the infrared image information of the object is obtained based on the light intensity of the infrared light reflected by each reflection point on the object. Similarly, the RGB information of the object is obtained based on the light intensity of the visible light reflected by each reflection point on the object. According to the light intensity of the infrared light reflected by each point on the object, the brightness value corresponding to each reflective point in the infrared image information of the object can be obtained, and the brightness value can be reflected as a gray value in the infrared image. The obtained infrared image is a grayscale image that contains only the grayscale values corresponding to each reflective point. According to the light intensity of the visible light reflected by each reflective point on the object, the brightness value corresponding to each reflective point in the RGB information of the object can be obtained. According to the brightness value of each reflective point and the color of each color pixel in its corresponding pixel, Based on the calculation formula of the tristimulus value, the RGB value of each reflective point can be obtained, so as to obtain RGB information including the RGB value of each reflective point of the object, and then the RGB image of the object can be obtained.
在一个实施例中,所述根据所述第二光感应信号,获取所述物体反射的可见光线的光强度,包括:In one embodiment, the obtaining, according to the second light sensing signal, the light intensity of the visible light reflected by the object includes:
根据所述第二光感应信号,获取所述成像测距传感器接收到的总光子数量或总峰值信号次数;obtaining the total number of photons or the total number of peak signals received by the imaging ranging sensor according to the second light sensing signal;
根据预设的可见光强度与总光子数量或总峰值信号次数之间的第一对应关系,获取所述物体反射的可见光线的光强度;obtaining the light intensity of the visible light reflected by the object according to the preset first correspondence between the visible light intensity and the total number of photons or the total number of peak signals;
同理,所述根据所述第一光感应信号,获取所述物体反射的红外光线的光强度,包括:Similarly, obtaining the light intensity of the infrared light reflected by the object according to the first light sensing signal includes:
根据所述第一光感应信号,获取所述成像测距传感器接收到的总光子数量或总峰值信号次数;obtaining the total number of photons or the total number of peak signals received by the imaging ranging sensor according to the first light sensing signal;
根据预设的红外光强度与总光子数量或总峰值信号次数之间的第二对应关系,获取所述物体反射的红外光线的光强度。According to the second correspondence between the preset infrared light intensity and the total number of photons or the total peak signal times, the light intensity of the infrared light reflected by the object is acquired.
在应用中,由于每个单光子感光单元用于对入射的单个光子进行响应并输出用于指示光子到达单光子感光单元处的时间的光感应信号,因 此,根据所有彩色子像素输出的光感应信号,即第二光感应信号,可以获得成像测距传感器接收到的可见光的总光子数量。通过与每个像素中的彩色子像素连接的时间数字转换器(Time to Digital Converter,TDC),根据每个彩色子像素输出的光感应信号计算飞行时间并转换为时间码,然后通过与时间数字转换器连接的直方图电路保存时间数字转换器输出的时间码并根据在可见光线的至少一个发射周期内保存的时间码生成直方图,获取该直方图中峰值信号的次数,如此,可以获得根据每个像素中的彩色子像素输出的感光信号生成的直方图中的峰值信号的总次数,得到总峰值信号次数。同理,也可以获得成像测距传感器接收到的红外光的总光子数量,以及根据每个像素中的红外子像素输出的感光信号生成的直方图中的峰值信号的总次数,得到总峰值信号次数。第一对应关系和第二对应关系可以预先采用上述总光子数和总峰值信号次数的获取方式,通过大量实验得到。In application, since each single-photon photosensitive unit is used to respond to an incident single photon and output a light-sensing signal indicating the time when the photon arrives at the single-photon photosensitive unit, therefore, according to the light-sensing signal output by all color sub-pixels The signal, that is, the second light sensing signal, can obtain the total number of photons of visible light received by the imaging ranging sensor. Through the Time to Digital Converter (TDC) connected to the color sub-pixels in each pixel, the time of flight is calculated according to the light sensing signal output by each color sub-pixel and converted into time code, and then the time-to-digital The histogram circuit connected to the converter saves the time code output by the time-to-digital converter and generates a histogram according to the time code saved in at least one emission period of visible light, and obtains the number of peak signals in the histogram. The total number of peak signals in the histogram generated by the light-sensing signals output by the color sub-pixels in each pixel is the total number of peak signals. In the same way, the total number of photons of infrared light received by the imaging ranging sensor and the total number of peak signals in the histogram generated according to the photosensitive signals output by the infrared sub-pixels in each pixel can also be obtained to obtain the total peak signal. frequency. The first corresponding relationship and the second corresponding relationship may be obtained through a large number of experiments by using the above-mentioned acquisition method of the total number of photons and the total number of peak signal times in advance.
在一个实施例中,所述根据所述第二光感应信号,获取所述成像测距传感器接收到的总光子数量或总峰值信号次数之前,包括:In one embodiment, before acquiring the total number of photons or the total number of peak signals received by the imaging ranging sensor according to the second light sensing signal, the method includes:
分别在所述物体反射的可见光线的不同光强度下,获取所述成像测距传感器接收到的总光子数量或总峰值信号次数;Obtaining the total number of photons or the total number of peak signals received by the imaging ranging sensor under different light intensities of the visible light reflected by the object respectively;
根据在所述物体反射的可见光线的每种光强度下获取的总光子数量或总峰值信号次数,获取不同的可见光强度与总光子数量或总峰值信号次数之间的第一对应关系;According to the total number of photons or the total peak signal times obtained under each light intensity of visible light reflected by the object, obtain a first correspondence between different visible light intensities and the total photon number or total peak signal times;
同理,所述根据所述第一光感应信号,获取所述成像测距传感器接收到的总光子数量或总峰值信号次数之前,包括:Similarly, before acquiring the total number of photons or the total number of peak signals received by the imaging ranging sensor according to the first light sensing signal, the method includes:
分别在所述物体反射的红外光线的不同光强度下,获取所述成像测 距传感器接收到的总光子数量或总峰值信号次数;Obtain the total number of photons or total peak signal times received by the imaging ranging sensor under different light intensities of the infrared rays reflected by the object respectively;
根据在所述物体反射的红外光线的每种光强度下获取的总光子数量或总峰值信号次数,获取不同的红外光强度与总光子数量或总峰值信号次数之间的第二对应关系。A second correspondence between different infrared light intensities and total photons or total peak signal times is obtained according to the total number of photons or total peak signal times obtained under each light intensity of the infrared light reflected by the object.
在应用中,可以分别或同时向物体发射不同光强度的红外光线和不同光强度的可见光线,然后基于上述方式,获取不同的可见光强度与总光子数量或总峰值信号次数之间的第一对应关系,以及不同的红外光强度与总光子数量或总峰值信号次数之间的第二对应关系。从而在后续需要获得RGB信息时,可以根据第一对应关系和基于第二光感应信号获得的总光子数量或总峰值信号次数,获得可见光线的光强度;在后续需要获得红外图像信息时,可以根据第二对应关系和基于第一光感应信号获得的总光子数量或总峰值信号次数,获得红外光线的光强度。In the application, infrared rays of different light intensities and visible rays of different light intensities can be emitted to the object separately or simultaneously, and then based on the above method, the first correspondence between the different visible light intensities and the total number of photons or the total number of peak signals is obtained. relationship, and a second correspondence between the different infrared light intensities and the total number of photons or the total number of peak signals. Therefore, when the RGB information needs to be obtained subsequently, the light intensity of the visible light can be obtained according to the first correspondence and the total number of photons or the total peak signal times obtained based on the second light sensing signal; when the infrared image information needs to be obtained subsequently, it can be obtained. The light intensity of the infrared light is obtained according to the second correspondence and the total number of photons or the total number of peak signals obtained based on the first light sensing signal.
在应用中,第一对应关系和第二对应关系可以以对应关系表的形式存在,例如,显示查找表。In an application, the first correspondence and the second correspondence may exist in the form of a correspondence table, for example, a lookup table is displayed.
如图5所示,示例性的示出了光强度、总光子数量和总峰值信号次数之间的对应关系表。As shown in FIG. 5 , a correspondence table between the light intensity, the total number of photons and the total peak signal times is exemplarily shown.
本申请实施例提供的成像测距方法,可以直接通过成像测距传感器输出的第一光感应信号和第二光感应信号,分别获取物体的深度信号和RGB信息,使得基于深度信息获得的深度图像和基于RGB信息获得RGB图像无视角差异,在对深度图像和RGB图像进行图像融合时无需对准,可以有效节省运算资源和时间。The imaging ranging method provided by the embodiment of the present application can directly obtain the depth signal and RGB information of the object through the first light sensing signal and the second light sensing signal output by the imaging ranging sensor, so that the depth image obtained based on the depth information can be obtained. Compared with obtaining RGB images based on RGB information, there is no difference in viewing angle, and there is no need to align the depth image and RGB image when image fusion is performed, which can effectively save computing resources and time.
应理解,上述实施例中各步骤的序号的大小并不意味着执行顺序的先后,各过程的执行顺序应以其功能和内在逻辑确定,而不应对本申请 实施例的实施过程构成任何限定。It should be understood that the size of the sequence number of each step in the above-mentioned embodiment does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiment of the present application.
如图6所示,本申请实施例提供一种成像测距系统1000,包括:As shown in FIG. 6, an embodiment of the present application provides an imaging ranging system 1000, including:
光发射器200,用于向物体2000发射红外光线和可见光线;the light emitter 200, for emitting infrared light and visible light to the object 2000;
成像测距传感器100; Imaging ranging sensor 100;
控制器300,分别与光发射器200和成像测距传感器100连接,用于执行上述实施例中的成像测距方法。The controller 300 is connected to the light transmitter 200 and the imaging ranging sensor 100 respectively, and is used for executing the imaging ranging method in the above-mentioned embodiment.
在应用中,成像测距系统至少包括控制器、光发射器和成像测距传感器,还可以包括覆盖光发射器的准直光学元件和衍射光学元件(Diffractive Optical Elements,DOE)、覆盖成像测距传感器的聚焦透镜或微透镜阵列等。准直光学元件用于对光发射器发射的光线进行准直,衍射光学元件用于对光线进行衍射。透镜或微透镜阵列用于将物体反射的光线聚焦于成像测距传感器的感光面。控制器用于控制光发射器、成像测距传感器开启或关闭,还可以调节光发射器发出的光线的光强度。物体可以是自由空间中的任意可反射光线的物体。In application, the imaging ranging system at least includes a controller, a light emitter and an imaging ranging sensor, and may also include collimating optical elements and diffractive optical elements (DOE) covering the light emitter, covering imaging ranging The sensor's focusing lens or microlens array, etc. The collimating optical element is used for collimating the light emitted by the light emitter, and the diffractive optical element is used for diffracting the light. A lens or microlens array is used to focus the light reflected by the object on the photosensitive surface of the imaging ranging sensor. The controller is used to control the light emitter and the imaging ranging sensor to turn on or off, and can also adjust the light intensity of the light emitted by the light emitter. An object can be any object in free space that reflects light.
在应用中,光发射器可以根据实际需要设置为激光器、发光二极管(Light Emitting Diode,LED)、激光二极管(Laser diode,LD)、边缘发射激光器(Edge-emitting Laser,EEL)等。激光器具体可以是垂直腔面发射激光器(Vertical-Cavity Surface-Emitting Laser,VCSEL)。光发射器可以是可调谐器件。In applications, the light transmitter can be set as a laser, light emitting diode (LED), laser diode (LD), edge-emitting laser (EEL), etc. according to actual needs. The laser may specifically be a Vertical-Cavity Surface-Emitting Laser (VCSEL). The optical transmitter may be a tunable device.
在应用中,控制器可以包括与成像测距传感器中的像素或单光子感光单元的数量相等的信号放大器、时数转换器(Time to Digital Converter,TDC)、模数转换器(Analog-to-Digital Converter,ADC)等。与每个像素对应连接的时速转换器连接至一个直方图电路。In application, the controller may include a signal amplifier, a time-to-digital converter (TDC), an analog-to-digital converter (Analog-to- Digital Converter, ADC), etc. The time-to-speed converter connected to each pixel is connected to a histogram circuit.
在应用中,控制器还可以包括中央处理单元(Central Processing Unit,CPU)、其他通用控制器、数字信号控制器(Digital Signal Processor,DSP)、专用集成电路(Application Specific Integrated Circuit,ASIC)、现成可编程门阵列(Field-Programmable Gate Array,FPGA)、其他可编程逻辑器件、分立门、晶体管逻辑器件或分立硬件组件等。通用控制器可以是微控制器或者任何常规的控制器等。In an application, the controller may also include a Central Processing Unit (CPU), other general-purpose controllers, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a ready-made Field-Programmable Gate Array (FPGA), other programmable logic devices, discrete gates, transistor logic devices, or discrete hardware components, etc. The general purpose controller may be a microcontroller or any conventional controller or the like.
本申请实施例提供的成像测距传感器、方法和系统,可以应用于手机、平板电脑、可穿戴设备、车载设备、增强现实(augmented reality,AR)设备、虚拟现实(virtual reality,VR)设备、笔记本电脑、上网本、个人数字助理(personal digital assistant,PDA)等终端设备,本申请实施例对终端设备的具体类型不作任何限制。The imaging ranging sensor, method, and system provided by the embodiments of the present application can be applied to mobile phones, tablet computers, wearable devices, in-vehicle devices, augmented reality (AR) devices, virtual reality (VR) devices, For terminal devices such as notebook computers, netbooks, and personal digital assistants (personal digital assistants, PDAs), the embodiments of the present application do not impose any restrictions on the specific types of terminal devices.
本申请实施例还提供一种计算机可读存储介质,计算机可读存储介质存储有计算机程序,计算机程序被控制器执行时实现可实现上述各个成像测距方法实施例中的步骤。Embodiments of the present application further provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by the controller, implements the steps in each of the foregoing imaging ranging method embodiments.
本申请实施例还提供一种计算机程序产品,当计算机程序产品在终端设备上运行时,使得终端设备执行时实现可实现上述各个成像测距方法实施例中的步骤。Embodiments of the present application further provide a computer program product, which, when the computer program product runs on a terminal device, enables the terminal device to implement the steps in each of the foregoing imaging ranging method embodiments.
在上述实施例中,对各个实施例的描述都各有侧重,某个实施例中没有详述或记载的部分,可以参见其它实施例的相关描述。在本申请所提供的实施例中,应该理解到,所揭露的系统/终端设备和方法,可以通过其它的方式实现。例如,以上所描述的系统/终端设备实施例仅仅是示意性的。In the foregoing embodiments, the description of each embodiment has its own emphasis. For parts that are not described or described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments. In the embodiments provided in this application, it should be understood that the disclosed system/terminal device and method may be implemented in other manners. For example, the system/terminal device embodiments described above are merely illustrative.
以上实施例仅用以说明本申请的技术方案,而非对其限制;尽管参 照前述实施例对本申请进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围,均应包含在本申请的保护范围之内。The above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The recorded technical solutions are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the application, and should be included in the application. within the scope of protection.

Claims (20)

  1. 一种成像测距传感器,其特征在于,包括以阵列形式排列的若干像素,每个所述像素包括以阵列形式排列的至少四个子像素,每个所述子像素包括一个单光子感光单元和覆盖所述单光子感光单元的滤光片,每个所述像素包括红外子像素、红色子像素、绿色子像素和蓝色子像素。An imaging ranging sensor, characterized in that it includes a plurality of pixels arranged in an array, each of the pixels includes at least four sub-pixels arranged in an array, and each of the sub-pixels includes a single-photon photosensitive unit and a cover In the filter of the single-photon photosensitive unit, each of the pixels includes an infrared sub-pixel, a red sub-pixel, a green sub-pixel and a blue sub-pixel.
  2. 如权利要求1所述的成像测距传感器,其特征在于,每个所述像素包括四个所述红外子像素、三个所述红色子像素、六个所述绿色子像素和三个所述蓝色子像素;The imaging ranging sensor of claim 1, wherein each of the pixels comprises four of the infrared sub-pixels, three of the red sub-pixels, six of the green sub-pixels, and three of the blue subpixel;
    四个所述红外子像素以2×2阵列形式排列构成一个红外子像素单元,一个所述红色子像素、两个所述绿色子像素和一个所述蓝色子像素以拜耳阵列形式排列构成一个彩色子像素单元;Four of the infrared sub-pixels are arranged in a 2×2 array to form an infrared sub-pixel unit, and one of the red sub-pixels, two of the green sub-pixels, and one of the blue sub-pixels are arranged in a Bayer array to form a unit. Color sub-pixel unit;
    每个所述像素包括一个所述红外子像素单元和三个所述彩色子像素单元。Each of the pixels includes one of the infrared sub-pixel units and three of the color sub-pixel units.
  3. 如权利要求2所述的成像测距传感器,其特征在于,所述一个所述红外子像素单元和三个所述彩色子像素单元的排列方式为1×4,4×1或2×2阵列形式中的任意一种。The imaging ranging sensor according to claim 2, wherein the one infrared sub-pixel unit and the three color sub-pixel units are arranged in a 1×4, 4×1 or 2×2 array any of the forms.
  4. 如权利要求1所述的成像测距传感器,其特征在于,每个所述像素包括以2×2阵列形式排列的一个所述红外子像素、一个所述红色子像素、一个所述绿色子像素和一个所述蓝色子像素。The imaging ranging sensor according to claim 1, wherein each of the pixels comprises one of the infrared sub-pixels, one of the red sub-pixels, and one of the green sub-pixels arranged in a 2×2 array. and one of the blue subpixels.
  5. 如权利要求1所述的成像测距传感器,其特征在于,每个所述像素包括M×M个所述红外子像素、M×M个所述红色子像素、M×M个所述绿色子像素和M×M个所述蓝色子像素;The imaging ranging sensor according to claim 1, wherein each of the pixels comprises M×M infrared sub-pixels, M×M red sub-pixels, and M×M green sub-pixels pixel and M×M said blue sub-pixels;
    M×M个所述红外子像素以阵列形式排列构成一个红外子像素单元,M×M个所述红色子像素以阵列形式排列构成一个红色子像素单元,M×M个所述绿色子像素以阵列形式排列构成一个绿色子像素单元,M×M个所述蓝色子像素以阵列形式排列构成一个蓝色子像素单元;The M×M infrared sub-pixels are arranged in an array to form an infrared sub-pixel unit, the M×M red sub-pixels are arranged in an array to form a red sub-pixel unit, and the M×M green sub-pixels are A green sub-pixel unit is arranged in an array form, and M×M blue sub-pixels are arranged in an array form to form a blue sub-pixel unit;
    每个所述像素包括一个所述红外子像素单元、一个所述红色子像素单元、一个所述绿色子像素单元和一个所述蓝色子像素单元,M为大于或等于2的整数。Each of the pixels includes one of the infrared sub-pixel units, one of the red sub-pixel units, one of the green sub-pixel units, and one of the blue sub-pixel units, and M is an integer greater than or equal to 2.
  6. 如权利要求1-5任意一项所述的成像测距传感器,其特征在于,所述滤光片为反射型滤光片或吸收型滤光片。The imaging distance measuring sensor according to any one of claims 1-5, wherein the filter is a reflective filter or an absorption filter.
  7. 一种成像测距方法,其特征在于,基于权利要求1至6任一项所述的成像测距传感器实现,所述方法包括:An imaging ranging method, characterized in that, implemented based on the imaging ranging sensor according to any one of claims 1 to 6, the method comprising:
    获取每个像素输出的用于指示接收到物体反射的红外光线的时间的第一光感应信号;acquiring a first light sensing signal output by each pixel and used to indicate the time when infrared light reflected by the object is received;
    获取每个像素输出的用于指示接收到物体反射的可见光线的时间的第二光感应信号;acquiring a second light sensing signal output by each pixel and used to indicate the time when the visible light reflected by the object is received;
    根据所述第一光感应信号获取所述物体的深度信息;Acquiring depth information of the object according to the first light sensing signal;
    根据所述第二光感应信号获取所述物体的RGB信息。The RGB information of the object is acquired according to the second light sensing signal.
  8. 如权利要求7所述的成像测距方法,其特征在于,所述成像测距方法还包括:The imaging ranging method according to claim 7, wherein the imaging ranging method further comprises:
    根据所述第一光感应信号,获取所述物体反射的红外光线的光强度;obtaining the light intensity of the infrared light reflected by the object according to the first light sensing signal;
    根据所述物体反射的红外光线的光强度,获取所述物体的红外图像信息。The infrared image information of the object is acquired according to the light intensity of the infrared light reflected by the object.
  9. 如权利要求8所述的成像测距方法,其特征在于,所述红外图像信息包括明度值;所述根据所述物体反射的红外光线的光强度,获取所述物体的红外图像信息,包括:The imaging ranging method according to claim 8, wherein the infrared image information includes a brightness value; and the acquiring the infrared image information of the object according to the light intensity of the infrared light reflected by the object comprises:
    根据物体上各反光点所反射的红外光线的光强度,获取所述物体的红外图像信息中与各反光点对应的明度值。According to the light intensity of the infrared rays reflected by each reflective point on the object, the brightness value corresponding to each reflective point in the infrared image information of the object is acquired.
  10. 如权利要求8所述的成像测距方法,其特征在于,所述根据所述第一光感应信号,获取所述物体反射的红外光线的光强度,包括:The imaging ranging method according to claim 8, wherein the obtaining the light intensity of the infrared light reflected by the object according to the first light sensing signal comprises:
    根据所述第一光感应信号,获取所述成像测距传感器接收到的总光 子数量或总峰值信号次数;obtaining the total number of photons or the total number of peak signals received by the imaging ranging sensor according to the first light sensing signal;
    根据预设的红外光强度与总光子数量或总峰值信号次数之间的第二对应关系,获取所述物体反射的红外光线的光强度。According to the second correspondence between the preset infrared light intensity and the total number of photons or the total peak signal times, the light intensity of the infrared light reflected by the object is acquired.
  11. 如权利要求10所述的成像测距方法,其特征在于,在所述根据预设的红外光强度与总光子数量或总峰值信号次数之间的第二对应关系,获取所述物体反射的红外光线的光强度之前,包括:The imaging ranging method according to claim 10, wherein in the second correspondence between the preset infrared light intensity and the total number of photons or the total peak signal times, the infrared light reflected by the object is obtained. Before the light intensity of the light, including:
    分别在所述物体反射的红外光线的不同光强度下,获取所述成像测距传感器接收到的总光子数量或总峰值信号次数;Obtaining the total number of photons or the total number of peak signals received by the imaging ranging sensor under different light intensities of the infrared rays reflected by the object;
    根据在所述物体反射的红外光线的每种光强度下获取的总光子数量或总峰值信号次数,获取不同的红外光强度与总光子数量或总峰值信号次数之间的第二对应关系。According to the total number of photons or total peak signal times obtained under each light intensity of infrared light reflected by the object, a second correspondence between different infrared light intensities and total photons or total peak signal times is obtained.
  12. 如权利要求7所述的成像测距方法,其特征在于,所述根据所述第二光感应信号获取所述物体的RGB信息,包括:The imaging ranging method according to claim 7, wherein the acquiring the RGB information of the object according to the second light sensing signal comprises:
    根据所述第二光感应信号,获取所述物体反射的可见光线的光强度;obtaining the light intensity of the visible light reflected by the object according to the second light sensing signal;
    根据所述物体反射的可见光线的光强度,获取所述物体的RGB信息。The RGB information of the object is acquired according to the light intensity of the visible light reflected by the object.
  13. 如权利要求12所述的成像测距方法,其特征在于,所述根据所述物体反射的可见光线的光强度,获取所述物体的RGB信息,包括:The imaging ranging method according to claim 12, wherein the acquiring the RGB information of the object according to the light intensity of the visible light reflected by the object comprises:
    根据物体上各反光点所反射的可见光线的光强度,获取物体的RGB信息中与各反光点对应的明度值;According to the light intensity of the visible light reflected by each reflective point on the object, obtain the brightness value corresponding to each reflective point in the RGB information of the object;
    根据物体的RGB信息中与各反光点的明度值和其对应的像素中各彩色像素的颜色,基于三刺激值的计算公式,计算得到各反光点的RGB值,得到包括物体的各反光点的RGB值的RGB信息。According to the brightness value of each reflective point in the RGB information of the object and the color of each color pixel in its corresponding pixel, based on the calculation formula of tristimulus value, the RGB value of each reflective point is calculated, and the RGB value of each reflective point including the object is obtained. RGB information for RGB values.
  14. 如权利要求12或13所述的成像测距方法,其特征在于,所述根据所述第二光感应信号,获取所述物体反射的可见光线的光强度,包括:The imaging ranging method according to claim 12 or 13, wherein the obtaining the light intensity of the visible light reflected by the object according to the second light sensing signal comprises:
    根据所述第二光感应信号,获取所述成像测距传感器接收到的总光子数量或总峰值信号次数;obtaining the total number of photons or the total number of peak signals received by the imaging ranging sensor according to the second light sensing signal;
    根据预设的可见光强度与总光子数量或总峰值信号次数之间的第一对应关系,获取所述物体反射的可见光线的光强度。According to the preset first correspondence between the visible light intensity and the total number of photons or the total peak signal times, the light intensity of the visible light reflected by the object is acquired.
  15. 如权利要求14所述的成像测距方法,其特征在于,所述根据所述第二光感应信号,获取所述成像测距传感器接收到的总峰值信号次数,包括:The imaging ranging method according to claim 14, wherein the acquiring, according to the second light sensing signal, the total number of peak signals received by the imaging ranging sensor comprises:
    通过与每个像素中的彩色子像素连接的时间数字转换器,根据每个彩色子像素输出的第二光感应信号计算飞行时间并转换为时间码;所述彩色子像素包括红色子像素、绿色子像素和蓝色子像素;Through the time-to-digital converter connected to the color sub-pixels in each pixel, the time of flight is calculated according to the second light sensing signal output by each color sub-pixel and converted into a time code; the color sub-pixels include red sub-pixels, green subpixels and blue subpixels;
    通过与时间数字转换器连接的直方图电路保存时间数字转换器输出的时间码,并根据在可见光线的至少一个发射周期内保存的时间码生成直方图;The time code output by the time-to-digital converter is saved by a histogram circuit connected with the time-to-digital converter, and a histogram is generated according to the time code saved in at least one emission period of the visible light;
    获取所述直方图中峰值信号的次数,得到根据每个像素中的彩色子像素输出的第二感光信号生成的直方图中的峰值信号的总次数,并得到总峰值信号次数。Obtain the number of peak signals in the histogram, obtain the total number of peak signals in the histogram generated according to the second photosensitive signal output by the color sub-pixels in each pixel, and obtain the total number of peak signals.
  16. 如权利要求14所述的成像测距方法,其特征在于,在所述根据预设的可见光强度与总光子数量或总峰值信号次数之间的第一对应关系,获取所述物体反射的可见光线的光强度之前,包括:The imaging ranging method according to claim 14, wherein in the first correspondence between the preset visible light intensity and the total number of photons or the total number of peak signals, the visible light reflected by the object is acquired the light intensity before including:
    分别在所述物体反射的可见光线的不同光强度下,获取所述成像测距传感器接收到的总光子数量或总峰值信号次数;Obtaining the total number of photons or the total number of peak signals received by the imaging ranging sensor under different light intensities of the visible light reflected by the object respectively;
    根据在所述物体反射的可见光线的每种光强度下获取的总光子数量或总峰值信号次数,获取不同的可见光强度与总光子数量或总峰值信号次数之间的第一对应关系。According to the total number of photons or total peak signal times obtained under each light intensity of visible light reflected by the object, a first correspondence between different visible light intensities and total photons or total peak signal times is obtained.
  17. 如权利要求7所述的成像测距方法,其特征在于,所述成像测距方法,还包括:The imaging ranging method according to claim 7, wherein the imaging ranging method further comprises:
    基于接收到第二光感应信号的时间和向物体发射可见光线的时间,利用飞行时间法计算出物体上每个反光点与成像测距传感器之间的距离。Based on the time of receiving the second light sensing signal and the time of emitting visible light to the object, the distance between each reflective point on the object and the imaging ranging sensor is calculated by using the time-of-flight method.
  18. 一种成像测距系统,其特征在于,包括:An imaging ranging system, characterized in that it includes:
    光发射器,用于向物体发射红外光线和可见光线;Light emitters for emitting infrared and visible light to objects;
    如权利要求1至4任一项所述的成像测距传感器;The imaging ranging sensor according to any one of claims 1 to 4;
    控制器,分别与所述光发射器和所述成像测距传感器连接,用于执行如权利权要5至8任一项所述的成像测距方法。A controller, connected to the light transmitter and the imaging ranging sensor, respectively, is configured to execute the imaging ranging method according to any one of claims 5 to 8.
  19. 如权利要求18所述的成像测距系统,其特征在于,所述控制器包括:与成像测距传感器中的像素或单光子感光单元的数量相等的信号放大器、时数转换器、模数转换器,以及与每个像素对应连接的时速转换器连接至一个直方图电路。The imaging ranging system according to claim 18, wherein the controller comprises: signal amplifiers, time-to-digital converters, and analog-to-digital converters equal to the number of pixels or single-photon photosensitive units in the imaging ranging sensor The converter, and the speed converter corresponding to each pixel are connected to a histogram circuit.
  20. 一种计算机可读存储介质,所述计算机可读存储介质存储有计算机程序,其特征在于,所述计算机程序被控制器执行时实现如权利要求7至17任一项所述的成像测距方法的步骤。A computer-readable storage medium storing a computer program, characterized in that, when the computer program is executed by a controller, the imaging ranging method according to any one of claims 7 to 17 is implemented A step of.
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