WO2018218408A1 - Application method and system for obstacle detection in intelligent traffic - Google Patents

Application method and system for obstacle detection in intelligent traffic Download PDF

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Publication number
WO2018218408A1
WO2018218408A1 PCT/CN2017/086288 CN2017086288W WO2018218408A1 WO 2018218408 A1 WO2018218408 A1 WO 2018218408A1 CN 2017086288 W CN2017086288 W CN 2017086288W WO 2018218408 A1 WO2018218408 A1 WO 2018218408A1
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Prior art keywords
picture
obstacle
time
path
driving
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PCT/CN2017/086288
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French (fr)
Chinese (zh)
Inventor
罗英杰
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深圳市乃斯网络科技有限公司
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Priority to PCT/CN2017/086288 priority Critical patent/WO2018218408A1/en
Publication of WO2018218408A1 publication Critical patent/WO2018218408A1/en

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled

Definitions

  • the present invention relates to the field of communications, and in particular, to a method and system for detecting obstacles in intelligent transportation.
  • Obstacles in the road are important reasons for affecting congestion, so it is very necessary to identify obstacles.
  • Existing systems cannot identify obstacles and affect customer experience.
  • An application method for detecting obstacles in intelligent transportation is provided, which solves the shortcoming of low user experience in the prior art.
  • a method for detecting obstacle detection in intelligent transportation comprising the steps of:
  • the time when the path is abnormal is acquired, the captured picture corresponding to the time is extracted, and the picture is analyzed to determine whether there is an obstacle.
  • the method further includes:
  • the reflection degree of the picture is processed, and the portion where the luminosity does not belong to the road surface reflection degree is determined as an obstacle.
  • the method further includes:
  • an application system for detecting obstacles in intelligent transportation includes:
  • a driving unit configured to acquire a driving path of the traveling vehicle and a driving time
  • the control unit is configured to: when the travel path is abnormal, acquire the time when the path is abnormal, extract a captured picture corresponding to the time, and analyze the picture to determine whether there is an obstacle.
  • system further includes:
  • the control unit is configured to process the glare of the picture, and determine a portion of the illuminance that does not belong to the glare of the road surface as an obstacle.
  • system further includes:
  • a control unit for uploading the obstacle position and picture to the road rescue system
  • a computer readable storage medium having stored thereon a computer program that, when executed by a processor, implements the above-described method of detecting obstacles in intelligent transportation.
  • a terminal comprising one or more processors, a memory, a transceiver, and one or more programs, the one or more programs being stored in the memory and configured by the Executed by one or more processors, the program including instructions for performing the steps in the above-described obstacle detection application method in intelligent transportation.
  • the technical solution provided by the specific embodiment of the present invention acquires a picture taken in a traveling vehicle, acquires a traveling path of the traveling vehicle, and a traveling time. If the driving path is abnormal, the time when the path is abnormal is acquired, and the captured picture corresponding to the time is extracted, and The picture is analyzed to determine whether there is an obstacle, so it has the advantage of recognizing whether there is an obstacle according to the taken picture, and improving the user's experience.
  • FIG. 1 is a flow chart of a method for detecting obstacle detection in intelligent transportation provided by the present invention.
  • FIG. 2 is a structural diagram of an application system for detecting obstacles in intelligent transportation provided by the present invention.
  • FIG. 3 is a schematic structural diagram of hardware of a terminal provided by the present invention.
  • FIG. 1 is a flowchart of a method for detecting obstacle detection in intelligent transportation according to a first preferred embodiment of the present invention.
  • the method is implemented by a monitoring center, and the method is as shown in FIG. 1 .
  • Step S101 Acquire a picture taken in a traveling vehicle
  • Step S102 Acquire a travel route of the traveling vehicle and a travel time
  • Step S103 If the traveling path is abnormal, the time when the path is abnormal is acquired, the captured picture corresponding to the time is extracted, and the picture is analyzed to determine whether there is an obstacle.
  • the technical solution provided by the specific embodiment of the present invention acquires a picture taken in a traveling vehicle, acquires a traveling path of the traveling vehicle, and a traveling time. If the driving path is abnormal, the time when the path is abnormal is acquired, and the captured picture corresponding to the time is extracted, and The picture is analyzed to determine whether there is an obstacle, so it has the advantage of recognizing whether there is an obstacle according to the taken picture, and improving the user's experience.
  • the method may further include:
  • the reflection degree of the picture is processed, and the portion where the luminosity does not belong to the road surface reflection degree is determined as an obstacle.
  • the method may further include:
  • FIG. 2 is a schematic diagram of an application system for detecting obstacles in intelligent transportation according to a second preferred embodiment of the present invention.
  • the system as shown in FIG. 2, includes:
  • An obtaining unit 201 configured to acquire a picture taken in a traveling vehicle
  • a driving unit 202 configured to acquire a driving path of the traveling vehicle and a driving time
  • the control unit 203 is configured to acquire the time of the abnormality of the path if the travel path is abnormal, extract a captured picture corresponding to the time, and analyze the picture to determine whether there is an obstacle.
  • the technical solution provided by the specific embodiment of the present invention acquires a picture taken in a traveling vehicle, acquires a traveling path of the traveling vehicle, and a traveling time. If the driving path is abnormal, the time when the path is abnormal is acquired, and the captured picture corresponding to the time is extracted, and The picture is analyzed to determine whether there is an obstacle, so it has the advantage of recognizing whether there is an obstacle according to the taken picture, and improving the user's experience.
  • the above system may further include:
  • the control unit 203 is configured to perform a process of refracting the picture, and determine a portion where the illuminance does not belong to the road surface reflection degree as an obstacle.
  • the above system may further include:
  • the control unit 203 is configured to upload the obstacle position and the picture to the road rescue system
  • Embodiments of the present invention also provide a computer readable storage medium having stored thereon a computer program that, when executed by a processor, implements the above-described method of detecting obstacles in intelligent transportation.
  • a specific embodiment of the present invention further provides a terminal, as shown in FIG. 3, including one or more processors 302, a memory 301, a transceiver 303, and one or more programs, the one or more programs being stored in The memory is, and is configured to be executed by, the one or more processors, the program comprising instructions for performing the steps in the above-described obstacle detection application method in intelligent transportation.
  • Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another.
  • a storage medium may be any available media that can be accessed by a computer.
  • the computer readable medium may include random access memory (Random) Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Compact Disc Read-Only Memory, CD-ROM, or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium.
  • a disk and a disc include a compact disc (CD), a laser disc, a compact disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

An application method and system for obstacle detection in intelligent traffic. The method comprises the following steps: obtaining pictures taken in the driving of a vehicle (S101); obtaining a driving path and a driving time of the vehicle (S102); and if the driving path is abnormal, obtaining a time of the path anomaly, extracting a picture taken at the time, and performing analysis processing on the picture to determine whether an obstacle exists (S103). The method and the system have the advantage of high user experience.

Description

障碍物检测在智能交通中的应用方法及系统  Method and system for detecting obstacles in intelligent transportation 技术领域Technical field
本发明涉及通信领域,尤其涉及一种障碍物检测在智能交通中的应用方法及系统。The present invention relates to the field of communications, and in particular, to a method and system for detecting obstacles in intelligent transportation.
背景技术Background technique
道路中的障碍物是影响拥堵的很重要的原因,所以识别障碍物是非常必要的,现有的系统无法识别障碍物,影响客户体验度。Obstacles in the road are important reasons for affecting congestion, so it is very necessary to identify obstacles. Existing systems cannot identify obstacles and affect customer experience.
技术问题technical problem
提供一种障碍物检测在智能交通中的应用方法,其解决了现有技术用户体验度低的缺点。An application method for detecting obstacles in intelligent transportation is provided, which solves the shortcoming of low user experience in the prior art.
技术解决方案Technical solution
一方面,提供一种障碍物检测在智能交通中的应用方法,所述方法包括如下步骤:In one aspect, a method for detecting obstacle detection in intelligent transportation is provided, the method comprising the steps of:
获取行驶车辆中拍摄的图片;Obtain a picture taken in a moving vehicle;
获取行驶车辆的行驶路径以及行驶时间;Obtaining the driving route of the traveling vehicle and the driving time;
如该行驶路径异常,获取该路径异常的时间,提取该时间对应的拍摄的图片,对该图片进行分析处理确定是否有障碍物。If the travel path is abnormal, the time when the path is abnormal is acquired, the captured picture corresponding to the time is extracted, and the picture is analyzed to determine whether there is an obstacle.
可选的,所述方法还包括:Optionally, the method further includes:
对图片进行反光度的处理,将发光度不属于路面反光度的部分确定为障碍物。The reflection degree of the picture is processed, and the portion where the luminosity does not belong to the road surface reflection degree is determined as an obstacle.
可选的,所述方法还包括:Optionally, the method further includes:
将该障碍物位置以及图片上传给道路救援系统Upload the obstacle location and image to the road rescue system
第二方面,提供一种障碍物检测在智能交通中的应用系统,所述方法包括:In a second aspect, an application system for detecting obstacles in intelligent transportation is provided, and the method includes:
获取单元,用于获取行驶车辆中拍摄的图片;An acquisition unit for acquiring a picture taken in a traveling vehicle;
行驶单元,用于获取行驶车辆的行驶路径以及行驶时间;a driving unit, configured to acquire a driving path of the traveling vehicle and a driving time;
控制单元,用于如该行驶路径异常,获取该路径异常的时间,提取该时间对应的拍摄的图片,对该图片进行分析处理确定是否有障碍物。The control unit is configured to: when the travel path is abnormal, acquire the time when the path is abnormal, extract a captured picture corresponding to the time, and analyze the picture to determine whether there is an obstacle.
可选的,所述系统还包括:Optionally, the system further includes:
控制单元,用于对图片进行反光度的处理,将发光度不属于路面反光度的部分确定为障碍物。The control unit is configured to process the glare of the picture, and determine a portion of the illuminance that does not belong to the glare of the road surface as an obstacle.
可选的,所述系统还包括:Optionally, the system further includes:
控制单元,用于将该障碍物位置以及图片上传给道路救援系统a control unit for uploading the obstacle position and picture to the road rescue system
第三方面,提供一种计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现上述障碍物检测在智能交通中的应用方法。In a third aspect, a computer readable storage medium is provided having stored thereon a computer program that, when executed by a processor, implements the above-described method of detecting obstacles in intelligent transportation.
第四方面,提供一种终端,包括一个或多个处理器、存储器、收发器,以及一个或多个程序,所述一个或多个程序被存储在所述存储器中,并且被配置由所述一个或多个处理器执行,所述程序包括用于执行上述障碍物检测在智能交通中的应用方法中的步骤的指令。In a fourth aspect, a terminal is provided, comprising one or more processors, a memory, a transceiver, and one or more programs, the one or more programs being stored in the memory and configured by the Executed by one or more processors, the program including instructions for performing the steps in the above-described obstacle detection application method in intelligent transportation.
有益效果Beneficial effect
本发明具体实施方式提供的技术方案获取行驶车辆中拍摄的图片,获取行驶车辆的行驶路径以及行驶时间,如该行驶路径异常,获取该路径异常的时间,提取该时间对应的拍摄的图片,对该图片进行分析处理确定是否有障碍物,所以其具有依据拍摄的图片识别是否具有障碍物,提高用户的体验度的优点。The technical solution provided by the specific embodiment of the present invention acquires a picture taken in a traveling vehicle, acquires a traveling path of the traveling vehicle, and a traveling time. If the driving path is abnormal, the time when the path is abnormal is acquired, and the captured picture corresponding to the time is extracted, and The picture is analyzed to determine whether there is an obstacle, so it has the advantage of recognizing whether there is an obstacle according to the taken picture, and improving the user's experience.
附图说明DRAWINGS
为了更清楚地说明本发明实施例或现有技术中的技术方案,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发明的一些实施例,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 more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.
图1为本发明提供的一种障碍物检测在智能交通中的应用方法的流程图。FIG. 1 is a flow chart of a method for detecting obstacle detection in intelligent transportation provided by the present invention.
图2为本发明提供的一种障碍物检测在智能交通中的应用系统的结构图。FIG. 2 is a structural diagram of an application system for detecting obstacles in intelligent transportation provided by the present invention.
图3为本发明提供的一种终端的硬件结构示意图。FIG. 3 is a schematic structural diagram of hardware of a terminal provided by the present invention.
本发明的实施方式Embodiments of the invention
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.
参阅图1,图1为本发明第一较佳实施方式提供的一种障碍物检测在智能交通中的应用方法的流程图,该方法由监控中心来完成,该方法如图1所示,包括如下步骤:Referring to FIG. 1 , FIG. 1 is a flowchart of a method for detecting obstacle detection in intelligent transportation according to a first preferred embodiment of the present invention. The method is implemented by a monitoring center, and the method is as shown in FIG. 1 . The following steps:
步骤S101、获取行驶车辆中拍摄的图片;Step S101: Acquire a picture taken in a traveling vehicle;
步骤S102、获取行驶车辆的行驶路径以及行驶时间;Step S102: Acquire a travel route of the traveling vehicle and a travel time;
步骤S103、如该行驶路径异常,获取该路径异常的时间,提取该时间对应的拍摄的图片,对该图片进行分析处理确定是否有障碍物。Step S103: If the traveling path is abnormal, the time when the path is abnormal is acquired, the captured picture corresponding to the time is extracted, and the picture is analyzed to determine whether there is an obstacle.
本发明具体实施方式提供的技术方案获取行驶车辆中拍摄的图片,获取行驶车辆的行驶路径以及行驶时间,如该行驶路径异常,获取该路径异常的时间,提取该时间对应的拍摄的图片,对该图片进行分析处理确定是否有障碍物,所以其具有依据拍摄的图片识别是否具有障碍物,提高用户的体验度的优点。The technical solution provided by the specific embodiment of the present invention acquires a picture taken in a traveling vehicle, acquires a traveling path of the traveling vehicle, and a traveling time. If the driving path is abnormal, the time when the path is abnormal is acquired, and the captured picture corresponding to the time is extracted, and The picture is analyzed to determine whether there is an obstacle, so it has the advantage of recognizing whether there is an obstacle according to the taken picture, and improving the user's experience.
可选的,上述步骤S103之后还可以包括:Optionally, after the step S103, the method may further include:
对图片进行反光度的处理,将发光度不属于路面反光度的部分确定为障碍物。The reflection degree of the picture is processed, and the portion where the luminosity does not belong to the road surface reflection degree is determined as an obstacle.
可选的,上述步骤S103之后还可以包括:Optionally, after the step S103, the method may further include:
将该障碍物位置以及图片上传给道路救援系统Upload the obstacle location and image to the road rescue system
参阅图2,图2为本发明第二较佳实施方式提供的一种障碍物检测在智能交通中的应用系统,该系统如图2所示,包括:Referring to FIG. 2, FIG. 2 is a schematic diagram of an application system for detecting obstacles in intelligent transportation according to a second preferred embodiment of the present invention. The system, as shown in FIG. 2, includes:
获取单元201,用于获取行驶车辆中拍摄的图片;An obtaining unit 201, configured to acquire a picture taken in a traveling vehicle;
行驶单元202,用于获取行驶车辆的行驶路径以及行驶时间;a driving unit 202, configured to acquire a driving path of the traveling vehicle and a driving time;
控制单元203,用于如该行驶路径异常,获取该路径异常的时间,提取该时间对应的拍摄的图片,对该图片进行分析处理确定是否有障碍物。The control unit 203 is configured to acquire the time of the abnormality of the path if the travel path is abnormal, extract a captured picture corresponding to the time, and analyze the picture to determine whether there is an obstacle.
本发明具体实施方式提供的技术方案获取行驶车辆中拍摄的图片,获取行驶车辆的行驶路径以及行驶时间,如该行驶路径异常,获取该路径异常的时间,提取该时间对应的拍摄的图片,对该图片进行分析处理确定是否有障碍物,所以其具有依据拍摄的图片识别是否具有障碍物,提高用户的体验度的优点。The technical solution provided by the specific embodiment of the present invention acquires a picture taken in a traveling vehicle, acquires a traveling path of the traveling vehicle, and a traveling time. If the driving path is abnormal, the time when the path is abnormal is acquired, and the captured picture corresponding to the time is extracted, and The picture is analyzed to determine whether there is an obstacle, so it has the advantage of recognizing whether there is an obstacle according to the taken picture, and improving the user's experience.
可选的,上述系统还可以包括:Optionally, the above system may further include:
控制单元203,用于对图片进行反光度的处理,将发光度不属于路面反光度的部分确定为障碍物。The control unit 203 is configured to perform a process of refracting the picture, and determine a portion where the illuminance does not belong to the road surface reflection degree as an obstacle.
可选的,上述系统还可以包括:Optionally, the above system may further include:
控制单元203,用于将该障碍物位置以及图片上传给道路救援系统The control unit 203 is configured to upload the obstacle position and the picture to the road rescue system
需要说明的是,对于前述的各方法实施方式或实施例,为了简单描述,故将其都表述为一系列的动作组合,但是本领域技术人员应该知悉,本发明并不受所描述的动作顺序的限制,因为根据本发明,某些步骤可以采用其他顺序或者同时进行。其次,本领域技术人员也应该知悉,说明书中所描述实施方式或实施例均属于优选实施例,所涉及的动作和单元并不一定是本发明所必须的。It should be noted that, for the foregoing method embodiments or embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not subject to the described action sequence. Limitations, as certain steps may be performed in other sequences or concurrently in accordance with the present invention. In the following, those skilled in the art should also understand that the embodiments or examples described in the specification are preferred embodiments, and the actions and units involved are not necessarily required by the present invention.
本发明具体实施方式还提供一种计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现上述障碍物检测在智能交通中的应用方法。Embodiments of the present invention also provide a computer readable storage medium having stored thereon a computer program that, when executed by a processor, implements the above-described method of detecting obstacles in intelligent transportation.
本发明具体实施方式还提供一种终端,如图3所示,包括一个或多个处理器302、存储器301、收发器303,以及一个或多个程序,所述一个或多个程序被存储在所述存储器中,并且被配置由所述一个或多个处理器执行,所述程序包括用于执行上述障碍物检测在智能交通中的应用方法中的步骤的指令。A specific embodiment of the present invention further provides a terminal, as shown in FIG. 3, including one or more processors 302, a memory 301, a transceiver 303, and one or more programs, the one or more programs being stored in The memory is, and is configured to be executed by, the one or more processors, the program comprising instructions for performing the steps in the above-described obstacle detection application method in intelligent transportation.
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的部分,可以参见其他实施例的相关描述。In the above embodiments, the descriptions of the various embodiments are different, and the details that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.
本发明实施例方法中的步骤可以根据实际需要进行顺序调整、合并和删减。The steps in the method of the embodiment of the present invention may be sequentially adjusted, merged, and deleted according to actual needs.
本发明实施例装置中的单元可以根据实际需要进行合并、划分和删减。本领域的技术人员可以将本说明书中描述的不同实施例以及不同实施例的特征进行结合或组合。The units in the apparatus of the embodiment of the present invention may be combined, divided, and deleted according to actual needs. Those skilled in the art can combine or combine the different embodiments described in the specification and the features of the different embodiments.
通过以上的实施方式的描述,所属领域的技术人员可以清楚地了解到本发明可以用硬件实现,或固件实现,或它们的组合方式来实现。当使用软件实现时,可以将上述功能存储在计算机可读介质中或作为计算机可读介质上的一个或多个指令或代码进行传输。计算机可读介质包括计算机存储介质和通信介质,其中通信介质包括便于从一个地方向另一个地方传送计算机程序的任何介质。存储介质可以是计算机能够存取的任何可用介质。以此为例但不限于:计算机可读介质可以包括随机存取存储器(Random Access Memory,RAM)、只读存储器(Read-Only Memory,ROM)、电可擦可编程只读存储器(Electrically Erasable Programmable Read-Only Memory,EEPROM)、只读光盘(Compact Disc Read-Only Memory,CD-ROM)或其他光盘存储、磁盘存储介质或者其他磁存储设备、或者能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其他介质。此外。任何连接可以适当的成为计算机可读介质。例如,如果软件是使用同轴电缆、光纤光缆、双绞线、数字用户线(Digital Subscriber Line,DSL)或者诸如红外线、无线电和微波之类的无线技术从网站、服务器或者其他远程源传输的,那么同轴电缆、光纤光缆、双绞线、DSL或者诸如红外线、无线和微波之类的无线技术包括在所属介质的定影中。如本发明所使用的,盘(Disk)和碟(disc)包括压缩光碟(CD)、激光碟、光碟、数字通用光碟(DVD)、软盘和蓝光光碟,其中盘通常磁性的复制数据,而碟则用激光来光学的复制数据。上面的组合也应当包括在计算机可读介质的保护范围之内。Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware, firmware implementation, or a combination thereof. When implemented in software, the functions described above may be stored in or transmitted as one or more instructions or code on a computer readable medium. Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another. A storage medium may be any available media that can be accessed by a computer. Taking this as an example, but not limited to: the computer readable medium may include random access memory (Random) Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Compact Disc Read-Only Memory, CD-ROM, or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium. For example, if the software is using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (Digital Subscriber Line, DSL) or wireless technology such as infrared, radio and microwave transmission from a website, server or other remote source, then coaxial cable, fiber optic cable, twisted pair, DSL or such as infrared, wireless and microwave Wireless technology is included in the fixing of the associated medium. As used in the present invention, a disk and a disc include a compact disc (CD), a laser disc, a compact disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.
总之,以上所述仅为本发明技术方案的较佳实施例而已,并非用于限定本发明的保护范围。凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。 In summary, the above description is only a preferred embodiment of the technical solution of the present invention, and is not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims (8)

  1. 一种障碍物检测在智能交通中的应用方法,其特征在于,所述方法包括如下步骤: An application method for detecting obstacles in intelligent transportation, characterized in that the method comprises the following steps:
    获取行驶车辆中拍摄的图片;Obtain a picture taken in a moving vehicle;
    获取行驶车辆的行驶路径以及行驶时间;Obtaining the driving route of the traveling vehicle and the driving time;
    如该行驶路径异常,获取该路径异常的时间,提取该时间对应的拍摄的图片,对该图片进行分析处理确定是否有障碍物。If the travel path is abnormal, the time when the path is abnormal is acquired, the captured picture corresponding to the time is extracted, and the picture is analyzed to determine whether there is an obstacle.
  2. 根据权利要求1所述的方法,其特征在于,所述方法还包括:The method of claim 1 further comprising:
    对图片进行反光度的处理,将发光度不属于路面反光度的部分确定为障碍物。The reflection degree of the picture is processed, and the portion where the luminosity does not belong to the road surface reflection degree is determined as an obstacle.
  3. 根据权利要求1所述的方法,其特征在于,所述方法还包括:The method of claim 1 further comprising:
    将该障碍物位置以及图片上传给道路救援系统Upload the obstacle location and image to the road rescue system
  4. 一种障碍物检测在智能交通中的应用系统,其特征在于,所述方法包括:An application system for detecting obstacles in intelligent transportation, characterized in that the method comprises:
    获取单元,用于获取行驶车辆中拍摄的图片;An acquisition unit for acquiring a picture taken in a traveling vehicle;
    行驶单元,用于获取行驶车辆的行驶路径以及行驶时间;a driving unit, configured to acquire a driving path of the traveling vehicle and a driving time;
    控制单元,用于如该行驶路径异常,获取该路径异常的时间,提取该时间对应的拍摄的图片,对该图片进行分析处理确定是否有障碍物。The control unit is configured to: when the travel path is abnormal, acquire the time when the path is abnormal, extract a captured picture corresponding to the time, and analyze the picture to determine whether there is an obstacle.
  5. 根据权利要求4所述的系统,其特征在于,The system of claim 4 wherein:
    所述控制单元,用于对图片进行反光度的处理,将发光度不属于路面反光度的部分确定为障碍物。The control unit is configured to perform a process of shininess on the picture, and determine a portion of the luminosity that does not belong to the road surface illuminance as an obstacle.
  6. 根据权利要求4所述的系统,其特征在于, The system of claim 4 wherein:
    所述控制单元,用于将该障碍物位置以及图片上传给道路救援系统The control unit is configured to upload the obstacle position and the picture to the road rescue system
  7. 一种计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现如权利要求1-3任意一项所述的障碍物检测在智能交通中的应用方法。A computer readable storage medium having stored thereon a computer program, the program being executed by a processor to implement an application method of obstacle detection in intelligent transportation according to any one of claims 1-3.
  8. 一种终端,其特征在于,包括一个或多个处理器、存储器、收发器,以及一个或多个程序,所述一个或多个程序被存储在所述存储器中,并且被配置由所述一个或多个处理器执行,所述程序包括用于执行1-3任意一项所述的障碍物检测在智能交通中的应用方法中的步骤的指令。A terminal, comprising: one or more processors, a memory, a transceiver, and one or more programs, the one or more programs being stored in the memory and configured by the one Executing or executing by a plurality of processors, the program comprising instructions for performing the steps in the method of detecting obstacles in intelligent transportation according to any one of 1-3.
PCT/CN2017/086288 2017-05-27 2017-05-27 Application method and system for obstacle detection in intelligent traffic WO2018218408A1 (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102779420A (en) * 2012-07-31 2012-11-14 哈尔滨工业大学 Road traffic event automatic detection method based on real-time vehicle-mounted GPS (global position system) data
CN104933293A (en) * 2015-05-22 2015-09-23 小米科技有限责任公司 Road information processing method and device
CN105427606A (en) * 2015-12-24 2016-03-23 重庆云途交通科技有限公司 Pavement condition information acquisition and release method
CN105869421A (en) * 2016-06-13 2016-08-17 乐视控股(北京)有限公司 Method and device for processing abnormal road condition information and vehicle
CN106097480A (en) * 2016-06-08 2016-11-09 南京航空航天大学 Vehicle operation data record system
WO2017055151A1 (en) * 2015-09-30 2017-04-06 Bayerische Motoren Werke Aktiengesellschaft Method for a motor vehicle for detecting poor lane conditions, corresponding system, and corresponding motor vehicle
CN106991819A (en) * 2017-05-27 2017-07-28 深圳市乃斯网络科技有限公司 Application process and system of the detection of obstacles in intelligent transportation

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102779420A (en) * 2012-07-31 2012-11-14 哈尔滨工业大学 Road traffic event automatic detection method based on real-time vehicle-mounted GPS (global position system) data
CN104933293A (en) * 2015-05-22 2015-09-23 小米科技有限责任公司 Road information processing method and device
WO2017055151A1 (en) * 2015-09-30 2017-04-06 Bayerische Motoren Werke Aktiengesellschaft Method for a motor vehicle for detecting poor lane conditions, corresponding system, and corresponding motor vehicle
CN105427606A (en) * 2015-12-24 2016-03-23 重庆云途交通科技有限公司 Pavement condition information acquisition and release method
CN106097480A (en) * 2016-06-08 2016-11-09 南京航空航天大学 Vehicle operation data record system
CN105869421A (en) * 2016-06-13 2016-08-17 乐视控股(北京)有限公司 Method and device for processing abnormal road condition information and vehicle
CN106991819A (en) * 2017-05-27 2017-07-28 深圳市乃斯网络科技有限公司 Application process and system of the detection of obstacles in intelligent transportation

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