WO2018218408A1 - Procédé et système d'application pour la détection d'obstacles dans un trafic intelligent - Google Patents

Procédé et système d'application pour la détection d'obstacles dans un trafic intelligent 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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WO
WIPO (PCT)
Prior art keywords
picture
obstacle
time
path
driving
Prior art date
Application number
PCT/CN2017/086288
Other languages
English (en)
Chinese (zh)
Inventor
罗英杰
Original Assignee
深圳市乃斯网络科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市乃斯网络科技有限公司 filed Critical 深圳市乃斯网络科技有限公司
Priority to PCT/CN2017/086288 priority Critical patent/WO2018218408A1/fr
Publication of WO2018218408A1 publication Critical patent/WO2018218408A1/fr

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting 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

L'invention concerne un procédé et un système d'application pour la détection d'obstacles dans un trafic intelligent. Le procédé comprend les étapes suivantes consistant à : obtenir des images prises lors de la conduite d'un véhicule (S101); obtenir un trajet et un temps de conduite du véhicule (S102); et si le trajet est anormal, obtenir un temps de l'anomalie de trajet, extraire une image prise à ce moment, et effectuer une analyse ou traitement sur l'image pour déterminer si un obstacle existe ou non (S103). Le procédé et le système présentent l'avantage d'une excellente expérience utilisateur.
PCT/CN2017/086288 2017-05-27 2017-05-27 Procédé et système d'application pour la détection d'obstacles dans un trafic intelligent WO2018218408A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/086288 WO2018218408A1 (fr) 2017-05-27 2017-05-27 Procédé et système d'application pour la détection d'obstacles dans un trafic intelligent

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/086288 WO2018218408A1 (fr) 2017-05-27 2017-05-27 Procédé et système d'application pour la détection d'obstacles dans un trafic intelligent

Publications (1)

Publication Number Publication Date
WO2018218408A1 true WO2018218408A1 (fr) 2018-12-06

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Family Applications (1)

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PCT/CN2017/086288 WO2018218408A1 (fr) 2017-05-27 2017-05-27 Procédé et système d'application pour la détection d'obstacles dans un trafic intelligent

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WO (1) WO2018218408A1 (fr)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102779420A (zh) * 2012-07-31 2012-11-14 哈尔滨工业大学 基于实时车载gps数据的道路交通事件自动检测方法
CN104933293A (zh) * 2015-05-22 2015-09-23 小米科技有限责任公司 一种道路信息处理方法及装置
CN105427606A (zh) * 2015-12-24 2016-03-23 重庆云途交通科技有限公司 路面状况信息采集及发布方法
CN105869421A (zh) * 2016-06-13 2016-08-17 乐视控股（北京）有限公司 异常路况信息处理方法、装置及车辆
CN106097480A (zh) * 2016-06-08 2016-11-09 南京航空航天大学 车辆行驶数据记录系统
WO2017055151A1 (fr) * 2015-09-30 2017-04-06 Bayerische Motoren Werke Aktiengesellschaft Procédé pour un véhicule automobile servant à détecter de mauvaises conditions de chaussée ainsi que système et véhicule automobile associés
CN106991819A (zh) * 2017-05-27 2017-07-28 深圳市乃斯网络科技有限公司 障碍物检测在智能交通中的应用方法及系统

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102779420A (zh) * 2012-07-31 2012-11-14 哈尔滨工业大学 基于实时车载gps数据的道路交通事件自动检测方法
CN104933293A (zh) * 2015-05-22 2015-09-23 小米科技有限责任公司 一种道路信息处理方法及装置
WO2017055151A1 (fr) * 2015-09-30 2017-04-06 Bayerische Motoren Werke Aktiengesellschaft Procédé pour un véhicule automobile servant à détecter de mauvaises conditions de chaussée ainsi que système et véhicule automobile associés
CN105427606A (zh) * 2015-12-24 2016-03-23 重庆云途交通科技有限公司 路面状况信息采集及发布方法
CN106097480A (zh) * 2016-06-08 2016-11-09 南京航空航天大学 车辆行驶数据记录系统
CN105869421A (zh) * 2016-06-13 2016-08-17 乐视控股（北京）有限公司 异常路况信息处理方法、装置及车辆
CN106991819A (zh) * 2017-05-27 2017-07-28 深圳市乃斯网络科技有限公司 障碍物检测在智能交通中的应用方法及系统

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