WO2018018177A1 - 无人驾驶汽车精确识别乘客系统 - Google Patents

无人驾驶汽车精确识别乘客系统 Download PDF

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Publication number
WO2018018177A1
WO2018018177A1 PCT/CN2016/091094 CN2016091094W WO2018018177A1 WO 2018018177 A1 WO2018018177 A1 WO 2018018177A1 CN 2016091094 W CN2016091094 W CN 2016091094W WO 2018018177 A1 WO2018018177 A1 WO 2018018177A1
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user
driverless
vehicle
camera
image information
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PCT/CN2016/091094
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English (en)
French (fr)
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刘文婷
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刘文婷
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Priority to PCT/CN2016/091094 priority Critical patent/WO2018018177A1/zh
Publication of WO2018018177A1 publication Critical patent/WO2018018177A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs

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  • the present invention relates to the field of wireless communication and network technology, and more particularly to an unmanned vehicle that accurately identifies a passenger system.
  • driverless car slowly starts to be used in society, but when the driverless car is applied to the urban transportation service network such as Drip Punch In Uber, the driverless car cannot accurately identify whether the passengers outside the car are reserved passengers, and thus there will be some unfairness. Some passengers place orders one day or several days in advance, because driverless cars cannot accurately identify the correctness of the passengers outside the car, resulting in the wrong passengers, thus causing great losses to passengers.
  • urban transportation service network such as Drip Punch In Uber
  • a primary object of the present invention is to provide a driverless vehicle accurate identification passenger system, which aims to solve the problem of a product in an existing driverless vehicle that cannot accurately identify a passenger and thereby cause great loss to the passenger.
  • the present invention provides a driverless vehicle accurate identification passenger system, which is characterized in that it comprises an Internet application service connection terminal, a cloud server, and a driverless vehicle, wherein: the server application terminal includes a camera, Send a module and a storage module; the cloud server includes a database of user images; the driverless car includes a camera, a receiving module, and a judging module; the user uses the camera of the server to apply for the terminal to collect images from the user, and pass the terminal
  • the sending module sends image information to the cloud server, and the cloud server confirms the image information and stores it in the server, and sends a user image to the driverless car through the Internet, and the driverless car receives the image information. Then, the image information of the out-of-vehicle passengers collected by the camera of the driverless car is detected, and the judging module of the driverless car determines whether the user outside the car is the correct reserved user.
  • the service application terminal is a mobile phone, a PAD, and a computer.
  • the storage module is configured to store image information of a user photographed by the user through the camera.
  • the driverless car further includes an identification module configured to analyze and compare the image information of the received user with the image information collected by the camera to the passenger outside the vehicle.
  • the above-mentioned technical solution is adopted by the driverless vehicle for accurately identifying the passenger system of the present invention, and the following technical effects are achieved: when the passenger uses the urban transportation service network, such as Drip, Tach, Express, Uber At the time, the driverless car will not cause great loss to the passengers due to the identification of passenger errors, improve the accuracy of the driverless car, and facilitate the promotion and use of the driverless car.
  • the urban transportation service network such as Drip, Tach, Express, Uber
  • Figure 1 is a block diagram showing a preferred embodiment of a passenger car system for accurately identifying a passenger car of the present invention.
  • the present invention is composed of an Internet connection service application terminal 1, a cloud server 2, and a driverless car 3, which constitute a driverless car to accurately identify a passenger system, and the driverless car 3 is provided with an outside vehicle.
  • a camera for taking pictures by a passenger, a receiving module for receiving image information of the cloud server 2, an identification module for recognizing image information of the passengers outside the vehicle, and a judging module for judging whether the outside passenger is a correct passenger
  • the cloud server 2 comprising a database of user images
  • the service application terminal 1 is a mobile phone, a PAD, and a computer
  • the service application terminal 1 includes a camera, a sending module, and a storage module; the user uses the camera of the service application terminal 1 to take a picture of the user himself, and the user can
  • the collected image information can be stored in the storage module and used to reserve the driverless car 3 next time, and send the image information of the user to the cloud server 2 through the sending module.
  • the cloud Server 2 to the user
  • the image information is confirmed and stored in the server, and the user image information is transmitted to the driverless car 3 through the Internet.
  • the receiving module of the driverless car 3 receives the image information sent by the cloud server 2 and sends it to the identification module.
  • the driving car 3 is further provided with a camera and photographing the passengers outside the vehicle, and the identification module analyzes and compares the image information of the received user with the image information collected by the camera for the passenger outside the vehicle, and passes through the The judging module judges, and if it is determined that the passenger outside the vehicle is the user who is correctly reserved, the driverless car 3 opens the door; otherwise, the door is closed and the correct user arrives.

Abstract

本发明公开了一种无人驾驶汽车精确识别乘客系统，所述无人驾驶汽车精确识别乘客系统由服务申请终端、云端服务器以及无人驾驶汽车，所述服务器申请终端包括摄像头、发送模块以及存储模块；所述云端服务器包括用户图像的数据库；所述无人驾驶汽车包括摄像头、接收模块以及判断模块；用户使用所述服务器申请终端的摄像头对用户进行采集图像并发送给所述云端服务器对图像信息进行确认并存储至服务器中，并通过Internet网向无人驾驶汽车发送用户图像信息，所述无人驾驶汽车接收到图像信息后并判断模块判断车外的用户是否是正确的预约用户，如此一来，提高了无人驾驶汽车的准确性，有利于无人驾驶汽车的使用。

Description

无人驾驶汽车精确识别乘客系统 技术领域
本发明涉及无线通信及网络技术领域，尤其是一种无人驾驶汽车精确识别乘客系统。
背景技术
无人驾驶汽车在使用的过程中需要解决的技术问题之一是如何精确识别乘客，无人驾驶汽车慢慢开始在社会上使用，但是当无人驾驶汽车应用到城市交通服务网络如滴滴打车、优步时，无人驾驶汽车无法准确识别车外的乘客是否是预约的乘客，从而会存在一定不公平。有些乘客会提前一天或数天发出订单，因为无人驾驶汽车无法精确识别车外乘客是否正确从而导致载错乘客，从而给乘客带来极大的损失。
发明内容
本发明的主要目的在于提供一种无人驾驶汽车精确识别乘客系统，旨在解决现有的无人驾驶汽车中无法精确识别乘客从而给乘客带来极大的损失的产品问题。
为实现上述目的，本发明提供了一种无人驾驶汽车精确识别乘客系统，其特征在于包括由Internet网连接服务申请终端、云端服务器以及无人驾驶汽车，其中：所述服务器申请终端包括摄像头、发送 模块以及存储模块；所述云端服务器包括用户图像的数据库；所述无人驾驶汽车包括摄像头、接收模块以及判断模块；用户使用所述服务器申请终端的摄像头对用户进行采集图像，并通过所述终端的发送模块发送图像信息至所述云端服务器，所述云端服务器对图像信息进行确认并存储至服务器中，并通过Internet网向无人驾驶汽车发送用户图像，所述无人驾驶汽车接收到图像信息后，通过所述无人驾驶汽车的摄像头采集到的车外乘客图像信息，并通过所述无人驾驶汽车的判断模块判断车外的用户是否是正确的预约用户。
进一步地，所述服务申请终端为手机、PAD以及电脑。
进一步地，所述存储模块用于存储用户通过所述摄像头拍照用户的图像信息。
进一步地，所述无人驾驶汽车还包括识别模块，用于对接收到的用户的图像信息与摄像头对车外乘客的采集到的图片信息进行分析比对。
相较于现有技术，本发明所述无人驾驶汽车精确识别乘客系统采用了上述技术方案，达到了如下技术效果：乘客在使用城市交通服务网络的时候，如滴滴打车、快车、优步的时候，无人驾驶汽车不会因为识别乘客错误导致乘客的极大损失，提高了无人驾驶汽车的准确性，有利于无人驾驶汽车的推广和使用。
附图说明
图1是本发明无人驾驶汽车精确识别乘客系统的优选实施例的结构示意图。
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
为更进一步阐述本发明为达成上述目的所采取的技术手段及功效，以下结合附图及优选实施例，对本发明的具体实施方式、结构、特征及其功效进行详细说明。应当理解，本发明所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
参阅附图1，本发明由Internet网连接服务申请终端1、云端服务器2和无人驾驶汽车3组成一个无人驾驶汽车精确识别乘客系统，所述无人驾驶汽车3为设有对车外的乘客进行拍照的摄像头，有接收云端服务器2图像信息的接收模块、有识别摄像头采集车外乘客的图像信息的识别模块，以及判断车外乘客是否是正确的预约乘客的判断模块；所述云端服务器2包括用户图像的数据库；所述服务申请终端1为手机、PAD以及电脑；服务申请终端1包括摄像头、发送模块以及存储模块；用户使用服务申请终端1的摄像头对用户自己进行拍照，用户可对采集到的图像信息可选择存储到存储模块并用于下次预约无人驾驶汽车3，并通过发送模块发送用户的图像信息至云端服务器2，当然，这必须是在联网的状态下实现的，云端服务器2对用户的 图像信息进行确认并存储至服务器中，并通过Internet网向无人驾驶汽车3发送用户图像信息，无人驾驶汽车3的接收模块接收云端服务器2发来的图像信息并发送到识别模块，无人驾驶汽车3上还设有摄像头并对车外的乘客进行拍照采集，所述识别模块对接收到的用户的图像信息与摄像头对车外乘客的采集到的图片信息进行分析比对，并通过所述判断模块进行判断，若判断车外的乘客是正确预约的用户，无人驾驶汽车3则开启车门；反之，则关闭车门并等待正确用户的到来。
以上仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效功能变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。

Claims (4)

  1. 一种无人驾驶汽车精确识别乘客系统，其特征在于包括由Internet网连接服务申请终端、云端服务器以及无人驾驶汽车，其中：所述服务器申请终端包括摄像头、发送模块以及存储模块；所述云端服务器包括用户图像的数据库；所述无人驾驶汽车包括摄像头、接收模块以及判断模块；用户使用所述服务器申请终端的摄像头对用户进行采集图像，并通过所述终端的发送模块发送图像信息至所述云端服务器，所述云端服务器对图像信息进行确认并存储至服务器中，并通过Internet网向无人驾驶汽车发送用户图像信息，所述无人驾驶汽车接收到图像信息后，通过所述无人驾驶汽车的摄像头采集到的车外用户图像信息，并通过所述无人驾驶汽车的判断模块判断车外的用户是否是正确的预约用户。
  2. 根据权利要求1所述的无人驾驶汽车精确识别乘客系统，其特征在于，所述服务申请终端为手机、PAD以及电脑。
  3. 根据权利要求1所述的无人驾驶汽车精确识别乘客系统，其特征在于，所述存储模块用于存储用户通过所述摄像头拍照用户的图像信息。
  4. 根据权利要求1所述的无人驾驶汽车精确识别乘客系统，其特征在于，所述无人驾驶汽车还包括识别模块，用于对接收到的用户的图像信息与摄像头对车外乘客的采集到的图片信息进行分析比对。
PCT/CN2016/091094 2016-07-24 2016-07-24 无人驾驶汽车精确识别乘客系统 WO2018018177A1 (zh)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108535741A (zh) * 2018-03-31 2018-09-14 无锡鼎洲电子科技有限公司 一种汽车定位系统
CN108830264A (zh) * 2018-08-17 2018-11-16 吉林大学 一种无人驾驶公交车的站台乘客检测系统及方法
CN110972111A (zh) * 2018-10-01 2020-04-07 现代自动车株式会社 用于由自动驾驶车辆检测呼叫者的方法
US20210094492A1 (en) * 2019-09-30 2021-04-01 Cerence Operating Company Multi-modal keyless multi-seat in-car personalization
CN113766459A (zh) * 2021-10-20 2021-12-07 昆山市中亿智胜电子科技有限公司 一种用于房车信息管理的车联网互动平台
CN108830264B (zh) * 2018-08-17 2024-05-03 吉林大学 一种无人驾驶公交车的站台乘客检测系统及方法

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103472745A (zh) * 2013-09-23 2013-12-25 杨伟 无人驾驶汽车控制系统
CN103472845A (zh) * 2013-09-25 2013-12-25 杨伟 自动驾驶汽车控制系统
CN105046942A (zh) * 2015-06-05 2015-11-11 卢泰霖 一种基于互联网无人驾驶电动汽车的服务系统
CN105094767A (zh) * 2014-05-06 2015-11-25 华为技术有限公司 自动驾驶车辆调度方法、车辆调度服务器及自动驾驶车辆

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103472745A (zh) * 2013-09-23 2013-12-25 杨伟 无人驾驶汽车控制系统
CN103472845A (zh) * 2013-09-25 2013-12-25 杨伟 自动驾驶汽车控制系统
CN105094767A (zh) * 2014-05-06 2015-11-25 华为技术有限公司 自动驾驶车辆调度方法、车辆调度服务器及自动驾驶车辆
CN105046942A (zh) * 2015-06-05 2015-11-11 卢泰霖 一种基于互联网无人驾驶电动汽车的服务系统

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108535741A (zh) * 2018-03-31 2018-09-14 无锡鼎洲电子科技有限公司 一种汽车定位系统
CN108830264A (zh) * 2018-08-17 2018-11-16 吉林大学 一种无人驾驶公交车的站台乘客检测系统及方法
CN108830264B (zh) * 2018-08-17 2024-05-03 吉林大学 一种无人驾驶公交车的站台乘客检测系统及方法
CN110972111A (zh) * 2018-10-01 2020-04-07 现代自动车株式会社 用于由自动驾驶车辆检测呼叫者的方法
CN110972111B (zh) * 2018-10-01 2024-04-23 现代自动车株式会社 用于由自动驾驶车辆检测呼叫者的方法
US20210094492A1 (en) * 2019-09-30 2021-04-01 Cerence Operating Company Multi-modal keyless multi-seat in-car personalization
CN113766459A (zh) * 2021-10-20 2021-12-07 昆山市中亿智胜电子科技有限公司 一种用于房车信息管理的车联网互动平台

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