Safe driving control device based on human body detection

文档序号：1433669 发布日期：2020-03-20 浏览：23次中文

阅读说明：本技术 基于人体检测的安全行驶控制装置 (Safe driving control device based on human body detection ) 是由杨鹏于 2019-11-09 设计创作，主要内容包括：本发明涉及一种基于人体检测的安全行驶控制装置,包括：第一检测设备,用于基于人体轮廓特征识别出针对性处理图像中的景深最浅的三个人体对象分别所在的三个人体区域；第二检测设备,与所述第一检测设备连接,用于基于体型特征分别识别所述三个人体区域分别是否属于成人人体对象；命令解析设备,用于在所述三个人体区域中都不存在成人人体对象时,发出停止行驶信号,否则,发出继续行驶信号。本发明的基于人体检测的安全行驶控制装置操作简便、应用广泛。由于能够根据电动自行车的成像图像的分析判断当前是否存在成人驾驶员,进而决定是否中断电动自行车的当前行驶动作,从而保证电动自行车的行车安全。(The invention relates to a safe driving control device based on human body detection, which comprises: the first detection device is used for identifying three human body areas where three human body objects with the shallowest depth of field in the targeted processing image are respectively located based on the human body contour features; the second detection device is connected with the first detection device and used for respectively identifying whether the three human body areas respectively belong to adult human body objects or not based on body shape characteristics; and the command analysis equipment is used for sending a driving stopping signal when no adult human body object exists in the three human body areas, and otherwise, sending a driving continuing signal. The safe driving control device based on human body detection is simple and convenient to operate and wide in application. Whether an adult driver exists at present can be judged according to the analysis of the imaging image of the electric bicycle, and then whether the current running action of the electric bicycle is interrupted is determined, so that the running safety of the electric bicycle is ensured.)

1. A safe driving control apparatus based on human body detection, the apparatus comprising:

the brightness detection equipment is used for detecting whether the brightness of the environment where the electric bicycle is located is larger than a limited quantity so as to determine whether the environment where the electric bicycle is located belongs to a night environment or a daytime environment;

the parameter adjusting device is connected with the brightness detecting device and is used for setting all driving parameters of the electric bicycle into value ranges in a night mode when the environment where the electric bicycle is located belongs to a night environment;

the field recording equipment is arranged on the body of the electric bicycle and used for carrying out image acquisition and recording operation on the environment behind the instrument panel of the electric bicycle so as to obtain an image behind the instrument panel;

the arithmetic mean filtering device is connected with the field recording device and is used for executing arithmetic mean filtering processing on the received instrument panel rear image so as to obtain a corresponding arithmetic mean filtering image;

the enhancement processing device is connected with the arithmetic mean filtering device and is used for executing enhancement processing based on an image space domain on the received arithmetic mean filtering image so as to obtain an enhanced processing image;

the sharpening processing device is connected with the enhancement processing device and is used for carrying out sharpening processing based on a spatial domain differentiation method on the received enhanced processing image so as to obtain a sharpened processing image;

a color correction device connected with the sharpening processing device and used for performing color correction on the received sharpening processing image to obtain a color correction image;

the first detection device is connected with the color correction device and used for receiving the color correction image and identifying three human body areas where three human body objects with the lightest depth of field in the color correction image are respectively located based on human body contour features;

the second detection device is connected with the first detection device and used for respectively identifying whether the three human body areas respectively belong to adult human body objects or not based on body shape characteristics;

the command analysis equipment is respectively connected with the first detection equipment and the second detection equipment and is used for sending a driving stopping signal when no adult human body object exists in the three human body areas, and otherwise, sending a driving continuing signal;

the command analysis device is further used for sending a driving stopping signal when the first detection device detects only one human body area and the human body area does not belong to an adult human body object, and otherwise, sending a driving continuing signal.

2. The safe driving control device based on human body detection as claimed in claim 1, wherein:

the command analysis device is further used for sending a driving stopping signal when the first detection device only detects two human body areas and the two human body areas do not belong to the adult human body object, and otherwise, sending a driving continuing signal.

3. The safe driving control device based on human body detection according to claim 2, characterized in that:

the parameter adjusting equipment is also used for setting all running parameters of the electric bicycle to be value ranges in a daytime mode when the environment where the electric bicycle is located belongs to a daytime environment.

4. The safe driving control device based on human body detection as claimed in claim 3, wherein the device further comprises:

and the signal analysis device is connected with the color correction device and is used for executing signal analysis processing on the received color correction image to obtain the definition of the color correction image.

5. The safe driving control device based on human body detection as claimed in claim 4, wherein the device further comprises:

a targeted processing device, connected to the signal analysis device, for performing the following actions on an image area where an object is present in a color corrected image: performing sharpness-based edge enhancement processing on the image region to obtain a first image region.

6. The safe driving control device based on human body detection according to claim 5, characterized in that:

the targeted processing device is further configured to perform the following actions for image regions where no object is present in the color corrected image: and not executing edge enhancement processing based on definition on the image area, and taking the image area as a second image area.

7. The safe driving control device based on human body detection as claimed in claim 6, wherein the device further comprises:

and the normalization processing device is respectively connected with the first detection device and the targeted processing device, and is used for performing signal normalization processing on the image obtained by combining the first image area and the second image area to obtain an area-combined image, and replacing the color correction image with the area-combined image and sending the area-combined image to the first detection device.

8. The safe driving control device based on human body detection according to claim 7, characterized in that:

the normalization processing device performs signal normalization processing on the image in which the first image region and the second image region are merged, including: and performing normalization processing on the contrast value of the image after the first image area and the second image area are combined, so that the absolute value of the difference between the contrast of the image content corresponding to the first image area in the area-combined image and the contrast of the image content corresponding to the second image area in the area-combined image is less than a limited amount.

9. The safe driving control device based on human body detection according to claim 8, characterized in that:

performing sharpness-based edge enhancement processing on the image region includes: the sharpness is inversely proportional to the magnitude of the edge enhancement process.

10. A human detection-based safe running control method, the method comprising providing a human detection-based safe running control apparatus according to any one of claims 1 to 9 for an environment behind an instrument panel of an electric bicycle that does not include an adult human subject to stop the electric bicycle from continuing to run.

Technical Field

The invention relates to the field of driving control, in particular to a safe driving control device based on human body detection.

Background

An electric bicycle is a mechatronic personal transportation tool which takes a storage battery as auxiliary energy and is provided with an electric motor, a controller, the storage battery, a rotating handle brake handle and other operating components and a display instrument system on the basis of a common bicycle.

In 2013, the electric bicycle in China breaks through 2 hundred million vehicles in quantity by 2013, and the electric bicycle 'new national standard' which is in dispute all the time comes out. The new national standard is expected to bring a big revolution in the electric bicycle industry.

And 16 days 1 and 16 months 2018, and 16 days of the approval draft of the national standard of the revised safety technical Specification of electric bicycles by the Ministry of industry and communications of China. And 5, 16 months in 2018, the State administration of market supervision and administration, and the State Committee of standardization and management approved and released New revised safety technical Specifications for electric bicycles. And 8, 25 months, the electric bicycle industrial product production license management shifts to implement a mandatory product authentication transition period from 8, 1 months in 2018 to 4, 14 months in 2019.

Disclosure of Invention

In order to solve the technical problems in the related field, the invention provides a safe driving control device based on human body detection, which can judge that no adult exists in the current driver when the environment behind an electric bicycle instrument panel does not include an adult human body object through image analysis, and further send a driving stopping signal to avoid traffic accidents; it is also important that the setting of the daytime mode or the setting of the nighttime mode of each of the running parameters of the electric bicycle is also automatically performed based on the brightness detection of the environment in which the electric bicycle is located.

According to an aspect of the present invention, there is provided a safe driving control apparatus based on human body detection, the apparatus including:

a color correction device connected with the sharpening processing device and used for performing color correction on the received sharpening processing image to obtain a color correction image;

and the command analysis equipment is respectively connected with the first detection equipment and the second detection equipment and is used for sending a driving stopping signal when no adult human body object exists in the three human body areas, and otherwise, sending a driving continuing signal.

According to another aspect of the present invention, there is also provided a human detection-based safe running control method including using a human detection-based safe running control apparatus as described above, for an environment behind an instrument panel of an electric bicycle that does not include an adult human subject to stop a continuous running of the electric bicycle.

The safe driving control device based on human body detection is simple and convenient to operate and wide in application. Whether an adult driver exists at present can be judged according to the analysis of the imaging image of the electric bicycle, and then whether the current running action of the electric bicycle is interrupted is determined, so that the running safety of the electric bicycle is ensured.

Therefore, the invention mainly has the following points:

(1) when the image analysis shows that the environment behind the instrument panel of the electric bicycle does not include an adult human body object, judging that no adult exists in the driver at present, and then sending a driving stopping signal to avoid traffic accidents;

(2) the setting of the daytime mode or the setting of the nighttime mode of each driving parameter of the electric bicycle is automatically executed based on the brightness detection of the environment where the electric bicycle is located.

Detailed Description

An embodiment of the safety driving control apparatus based on human body detection according to the present invention will be described in detail below.

Image processing is a technique that uses a computer to analyze an image to achieve a desired result. Also known as image processing. Image processing generally refers to digital image processing. Digital images are large two-dimensional arrays of elements called pixels and values called gray-scale values, which are captured by industrial cameras, video cameras, scanners, etc. Image processing techniques generally include image compression, enhancement and restoration, matching, description and identification of 3 parts.

The 21 st century is an information-filled era, and images serve as visual bases for human perception of the world and are important means for human to acquire information, express information and transmit information. Digital image processing, i.e. processing images by a computer, has not been developed for a long time. Digital image processing technology originated in the 20 th century, when a photograph was transmitted from london, england, to new york, usa through submarine cables, and digital compression technology was used. Firstly, the digital image processing technology can help people to know the world more objectively and accurately, a human vision system can help people to obtain more than 3/4 information from the outside, and images and figures are carriers of all visual information, although the discrimination of human eyes is high and thousands of colors can be recognized, in many cases, the images are blurred or even invisible to the human eyes, and the blurred or even invisible images can be made to be clear and bright through the image enhancement technology.

At present, electric bicycles are favored because of high speed and flexibility, however, since the access threshold of electric bicycles is low, and minors can easily obtain the electric bicycles to perform driving operation, various electric bicycle accidents are caused, and if the behavior of driving operation performed by minors is avoided, the electric bicycle is a key element for improving the safety performance of the electric bicycle.

In order to overcome the defects, the invention builds a safe driving control device based on human body detection, and can effectively solve the corresponding technical problem.

The safety driving control apparatus based on human body detection according to the embodiment of the present invention includes:

a color correction device connected with the sharpening processing device and used for performing color correction on the received sharpening processing image to obtain a color correction image;

Next, a specific configuration of the safety driving control device based on human body detection according to the present invention will be further described.

In the safety driving control device based on human body detection:

In the safety driving control device based on human body detection, the device further comprises:

In the safety driving control device based on human body detection:

In the safety driving control device based on human body detection, the device further comprises:

In the safety driving control device based on human body detection:

performing sharpness-based edge enhancement processing on the image region includes: the sharpness is inversely proportional to the magnitude of the edge enhancement process.

Meanwhile, in order to overcome the defects, the invention also builds a safe driving control method based on human body detection, and the method comprises the use of the safe driving control device based on human body detection, and is used for stopping the continuous driving of the electric bicycle under the environment behind the instrument panel of the electric bicycle without the adult human body object.

In addition, the command parsing apparatus is implemented using an SOC chip. SOC, i.e. system on chip. From a narrow sense, the system is the chip integration of the core of an information system, and key components of the system are integrated on one chip; in a broad sense, an SOC is a micro-miniature system, and if a Central Processing Unit (CPU) is the brain, the SOC is a system including the brain, heart, eyes, and hands. The academia at home and abroad generally tends to define the SOC as integrating a microprocessor, an analog IP core, a digital IP core and a memory (or off-chip memory control interface) on a single chip, which is usually custom-made or standard product oriented to a specific application.

The basic content of the SOC definition is mainly two-fold: one is his composition and the other is his forming process. The system-level chip can be composed of a system-level chip control logic module, a microprocessor/microcontroller CPU core module, a digital signal processor DSP module, an embedded memory module, an interface module for communicating with the outside, an analog front-end module containing ADC/DAC, a power supply and power consumption management module, a radio frequency front-end module, user defined logic (which can be realized by FPGA or ASIC) and a micro-electro-mechanical module for a wireless SOC, and more importantly, a SOC chip is embedded with a basic software (RDOS or COS and other application software) module or loadable user software and the like.

In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.

Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.

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