CN111899625A - Intelligent driving assisting development device - Google Patents
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Abstract
本申请涉及一种智能辅助驾驶开发装置,应用于实验室模拟环境下,装置主体包括:环境感知组件,用于获取装置主体在模拟道路中的运动信息和/或模拟道路的路况信息;运动组件,用于控制装置主体在模拟道路中行驶;处理组件,用于根据环境感知组件获取的当前数据,生成控制指令,以及将控制指令发送至运动组件,当前数据包括运动信息和/或路况信息;数据传输组件,用于接收并转发环境感知组件、运动组件和处理组件中的数据;数据传输组件分别与环境感知组件、运动组件和处理组件连接。该装置能够在实验室环境下运行,使得可以在有限的空间中进行开发实验,降低了开发成本。此外,在实验室中可以模拟各种不同的路况,提升了开发效率。
The present application relates to an intelligent assisted driving development device, which is applied in a laboratory simulation environment. The device body includes: an environment perception component for acquiring motion information of the device body on a simulated road and/or road condition information on the simulated road; a motion component , used to control the main body of the device to drive on the simulated road; the processing component is used to generate control instructions according to the current data obtained by the environment perception component, and send the control instructions to the motion component, and the current data includes motion information and/or road condition information; The data transmission component is used to receive and forward the data in the environment perception component, the motion component and the processing component; the data transmission component is respectively connected with the environment perception component, the movement component and the processing component. The device can operate in a laboratory environment, enabling development experiments in a limited space and reducing development costs. In addition, various road conditions can be simulated in the laboratory, which improves development efficiency.
Description
技术领域technical field
本申请涉及智能驾驶开发技术领域,具体涉及一种智能辅助驾驶开发装置。The present application relates to the technical field of intelligent driving development, in particular to an intelligent auxiliary driving development device.
背景技术Background technique
汽车是人们生活和工作中必不可少的交通工具,具有越来越强的智能性,尤其是自动驾驶功能,给人们带来了极大便利。在自动驾驶过程中,车辆运动学和动力学模型中的参数具有不确定性,并且在复杂随机的道路环境中,还会有其他机动车辆、行人等,这些智能体的行为随机性给车辆的自主决策带来极大地难度和挑战。因此,为了提升自动驾驶车辆在行驶中的安全性能,需要对车辆的自动驾驶功能进行开发。Cars are an indispensable means of transportation in people's life and work. They have increasingly stronger intelligence, especially the automatic driving function, which brings great convenience to people. In the process of autonomous driving, the parameters in the vehicle kinematics and dynamic models are uncertain, and in the complex and random road environment, there will be other motor vehicles, pedestrians, etc., the behavior of these agents is random to the vehicle. Independent decision-making brings great difficulty and challenges. Therefore, in order to improve the safety performance of autonomous vehicles during driving, it is necessary to develop the autonomous driving functions of vehicles.
发明内容SUMMARY OF THE INVENTION
本申请的目的是提供一种智能辅助驾驶开发装置,能够在实验室环境下对车辆的自动驾驶功能进行开发,提升了自动驾驶功能的开发效率。The purpose of this application is to provide an intelligent assisted driving development device, which can develop the automatic driving function of the vehicle in a laboratory environment, and improve the development efficiency of the automatic driving function.
为实现上述目的,本申请提供了一种智能辅助驾驶开发装置,应用于实验室模拟环境下,包括装置主体,所述装置主体包括:In order to achieve the above purpose, the present application provides an intelligent assisted driving development device, which is applied in a laboratory simulation environment, and includes a device main body, where the device main body includes:
环境感知组件,用于获取所述装置主体在模拟道路中的运动信息和/或所述模拟道路的路况信息;an environment perception component, configured to acquire motion information of the device body in the simulated road and/or road condition information of the simulated road;
运动组件,用于控制所述装置主体在所述模拟道路中行驶;a motion component for controlling the main body of the device to drive in the simulated road;
处理组件,用于根据所述环境感知组件获取的当前数据,生成控制指令,以及将所述控制指令发送至所述运动组件,所述当前数据包括所述运动信息和/或所述路况信息;a processing component, configured to generate a control instruction according to the current data acquired by the environment perception component, and send the control instruction to the motion component, where the current data includes the motion information and/or the road condition information;
数据传输组件,用于接收并转发所述环境感知组件、所述运动组件和所述处理组件中的数据;a data transmission component for receiving and forwarding data in the environment perception component, the motion component and the processing component;
其中,所述数据传输组件分别与所述环境感知组件、所述运动组件和所述处理组件连接。Wherein, the data transmission component is respectively connected with the environment perception component, the motion component and the processing component.
在一个实施例中,所述环境感知组件包括:In one embodiment, the context-aware component includes:
测速模块,用于测量所述装置主体的行驶速度;a speed measuring module for measuring the running speed of the device body;
障碍物探测模块,用于探测所述模拟道路中的障碍物信息;an obstacle detection module for detecting obstacle information in the simulated road;
图像采集模块,用于采集所述模拟道路的车道线信息。The image acquisition module is used for acquiring lane line information of the simulated road.
在一个实施例中,所述障碍物探测模块为多个,且均匀布置在所述装置主体上。In one embodiment, the number of the obstacle detection modules is multiple and uniformly arranged on the device main body.
在一个实施例中,所述测速模块为雷达传感器,所述障碍物探测模块为超声波传感器,所述图像采集模块为摄像头。In one embodiment, the speed measurement module is a radar sensor, the obstacle detection module is an ultrasonic sensor, and the image acquisition module is a camera.
在一个实施例中,所述数据传输组件包括:In one embodiment, the data transfer component includes:
多个第一外设接口,用于与所述环境感知组件、所述运动组件和所述处理组件连接;a plurality of first peripheral interfaces for connecting with the environment perception component, the motion component and the processing component;
所述处理组件包括:与所述第一外设接口连接的第二外设接口;The processing component includes: a second peripheral interface connected to the first peripheral interface;
其中,一个所述第二外设接口对应至少一个所述第一外设接口。Wherein, one of the second peripheral interfaces corresponds to at least one of the first peripheral interfaces.
在一个实施例中,所述数据传输组件包括:In one embodiment, the data transfer component includes:
网络模块,用于与外部终端建立网络连接。The network module is used to establish network connection with external terminals.
在一个实施例中,所述运动组件包括:In one embodiment, the motion assembly includes:
驱动轮;drive wheel;
驱动模块,用于驱动所述驱动轮转动;a driving module for driving the driving wheel to rotate;
其中,所述驱动模块与所述数据传输组件连接。Wherein, the driving module is connected with the data transmission assembly.
在一个实施例中,所述装置主体还包括:In one embodiment, the device body further includes:
程序存储组件,用于存储辅助驾驶程序;Program storage component for storing assisted driving programs;
其中,所述程序存储组件与所述数据处理组件连接。Wherein, the program storage component is connected with the data processing component.
在一个实施例中,所述装置主体还包括:In one embodiment, the device body further includes:
供电组件,用于为所述装置主体提供电能;a power supply assembly, used to provide power to the device body;
其中,所述供电组件与所述数据传输组件连接。Wherein, the power supply component is connected with the data transmission component.
在一个实施例中,所述供电组件为航模电池。In one embodiment, the power supply component is a model aircraft battery.
相较于现有技术,本申请实施例中的智能辅助驾驶开发装置,能够在实验室环境下运行,使得可以在有限的空间中进行开发实验,降低了开发成本。此外,在实验室中可以模拟各种不同的路况,提升了开发效率。Compared with the prior art, the intelligent assisted driving development device in the embodiment of the present application can operate in a laboratory environment, so that development experiments can be performed in a limited space, and development costs are reduced. In addition, various road conditions can be simulated in the laboratory, which improves the development efficiency.
附图说明Description of drawings
图1为本申请实施例提供的一种智能辅助驾驶开发装置的结构示意图;1 is a schematic structural diagram of an intelligent assisted driving development device provided by an embodiment of the application;
图2为本申请实施例中智能辅助驾驶开发装置上处理组件的结构示意图。FIG. 2 is a schematic structural diagram of a processing component on an intelligent assisted driving development device according to an embodiment of the present application.
具体实施方式Detailed ways
下面通过附图和实施例,对本申请的技术方案做进一步的详细描述。The technical solutions of the present application will be described in further detail below through the accompanying drawings and embodiments.
参考图1,本申请实施例提供的智能辅助驾驶开发装置,主要应用于实验室模拟环境下,在实验室中可以设置模拟道路、信号灯、障碍物等等,以模拟出真实的路况信息;其中,在实验室中可供智能辅助驾驶开发装置运动的空间为有限空间,该有限空间可以小于预设空间大小,例如,有限空间的占地面积小于20平方米。该智能辅助驾驶开发装置包括装置主体,其中,装置主体包括:环境感知组件、运动组件、处理组件3、数据传输组件4、供电组件和程序存储组件。数据传输组件4分别与环境感知组件、运动组件、处理组件3、供电组件、程序存储组件连接;例如插接、线缆连接等。Referring to FIG. 1 , the intelligent assisted driving development device provided by the embodiment of the present application is mainly used in a laboratory simulation environment, and simulated roads, signal lights, obstacles, etc. can be set in the laboratory to simulate real road condition information; wherein , the space available for the movement of the intelligent assisted driving development device in the laboratory is a limited space, and the limited space may be smaller than the preset space size, for example, the area of the limited space is less than 20 square meters. The intelligent assisted driving development device includes a device body, wherein the device body includes: an environment perception component, a motion component, a
其中,环境感知组件可以获取装置主体在模拟道路中的运动信息和/或模拟道路的路况信息。其中,运动信息包括装置主体的行驶速度、航向角等,路况信息包括是否存在障碍物、道路湿滑度、车道线信息等Wherein, the environment perception component can acquire the motion information of the device main body in the simulated road and/or the road condition information of the simulated road. The motion information includes the driving speed, heading angle, etc. of the main body of the device, and the road condition information includes whether there are obstacles, road wetness, lane line information, etc.
运动组件可以控制装置主体在模拟道路中行驶。在一个例子中,运动组件2包括驱动轮21和驱动模块。其中,驱动模块主要用于驱动驱动轮21转动。驱动模块与数据传输组件3电连接。可选地,驱动模块为驱动电机。The motion component can control the body of the device to drive on the simulated road. In one example, the motion assembly 2 includes a
处理组件3可以用于根据环境感知组件获取的当前数据,生成控制指令,以及将控制指令发送至运动组件,当前数据包括运动信息和/或路况信息。例如,当车道线信息表明车道线向左侧弯曲时,可以生成向左转向的控制指令,进而控制装置主体偏向左侧行驶。可选地,处理组件为现场可编程逻辑门阵列FPGA。The
数据传输组件4可以接收并转发环境感知组件、运动组件和处理组件中的数据。The
供电组件可以为装置主体提供电能。可选地,供电组件为航模电池。The power supply assembly can provide power to the device body. Optionally, the power supply component is a model aircraft battery.
程序存储组件可以存储辅助驾驶程序。其中,预先编写好辅助驾驶程序,之后,将该程序存储至程序存储组件中,在该程序运行后,装置主体即可以按照程序中编写的运行方式行驶。可选地,程序存储组件可以为安全数码卡(Secure Digital Memory Card/SDcard,SD卡)、U盘等。The program storage component can store the assisted driving program. The assisted driving program is pre-written, and then the program is stored in the program storage component. After the program runs, the main body of the device can drive according to the operation mode written in the program. Optionally, the program storage component may be a secure digital memory card (Secure Digital Memory Card/SDcard, SD card), a U disk, or the like.
接下来介绍环境感知组件、处理组件3和数据传输组件4。Next, the environment perception component,
环境感知组件可以包括:测速模块11、障碍物探测模块12和图像采集模块13中的一个或多个。测速模块11主要用于测量装置主体的行驶速度;障碍物探测模块12,主要用于探测模拟道路中的障碍物信息;图像采集模块13,主要用于采集模拟道路的车道线信息。The environment perception component may include one or more of a
可选地,测速模块11可以为雷达传感器,此时,在模拟道路上可以设置用于反射雷达波的发射板,通过对雷达传感器的回波分析测定装置主体的行驶速度。可选地,雷达传感器为IVS(Innosent VCO stereo)系列的双通道K波段窄波束雷达传感器,其支持FSK/FMCW/CW工作模式,并采用平面微带天线结构,外形十分小巧,可以集成于各种电路;另外其工作时能耗较低,可以节省电能。Optionally, the
障碍物探测模块12可以为多个,例如2个、3个、4个等,且均匀布置在装置主体上,以全方位的探测模拟道路上的障碍物信息。其中,障碍物探测模块12与模拟道路之间呈预设角度,如60度角等,以探测到模拟道路上的障碍物。可选地,障碍物探测模块12可以为超声波传感器,此时,利用超声波传感器持续或间歇式发出超声波,以探测模拟道路上的障碍物信息。The number of
图像采集模块13可以为摄像头,通过摄像头采集模拟道路上的车道线信息、交通标志识别、行人与物体检测、防碰撞预警等等。例如,通过摄像头拍摄模拟道路的路面的图像,再利用Canny算子等图像边缘算子对图像进行分析处理,得到模拟道路上的车道线信息。此外,图像采集模块13还可以用于获取模拟道路的路面的湿滑度,例如,对图像采集模块13采集的图像进行分析处理,确定出路面的反光度,再根据预先设定的反光度与湿滑度之间的映射关系,确定出当前路面的湿滑度。可选地,图像采集模块13通过可转动支架131与装置主体连接;通过可转动支架131以实现图像采集模块13上下左右俯仰旋转,满足多方位目标检测的需要。The
参考图2,处理组件3可以包括:处理模块、多个第二外设接口、网络模块。处理模块,主要用于处理环境感知组件、运动组件的数据。第二外设接口主要用于与数据传输组件4上的第二外设接口连接。网络模块,主要用于与外部终端建立网络连接;通过网络模块可以将环境感知组件获取的数据传输至外部终端进行显示等。其中,处理模块、第二外设接口和网络模块可以集成在一块数据板上。Referring to FIG. 2 , the
可选地,处理模块为现场可编程逻辑门阵列FPGA,网络模块为蓝牙模块和/或WIFI模块。Optionally, the processing module is a field programmable logic gate array FPGA, and the network module is a Bluetooth module and/or a WIFI module.
可选地,第二外设接口包括:USB Type-C(JTAG&UART)接口,SD卡插槽,USB通信母口、以太网接口、HDMI接口、音频接口、电源接口、数模转换接口、摄像头接口等等。其中,音频接口包括一进一出两个接口,可以实现音频的输入与输出。Optionally, the second peripheral interface includes: a USB Type-C (JTAG&UART) interface, an SD card slot, a USB communication female port, an Ethernet interface, an HDMI interface, an audio interface, a power interface, a digital-to-analog conversion interface, and a camera interface and many more. Among them, the audio interface includes two interfaces, one in and one out, which can realize audio input and output.
此外,处理组件3上还可以设置模式切换按键,例如,自启动模式按键、调试模式按键。可选地,自启动模式是指装置主体可以在开机后自动运行程序存储组件中的程序;调试模式是指可以利用外部设备对装置主体进行调试控制。In addition, a mode switching button, such as a self-starting mode button and a debugging mode button, may also be set on the
数据传输组件4包括:多个第一外设接口。其中,多个第一外设接口可以同时对应一个第二外设接口。第一外设接口主要用于与环境感知组件、运动组件和处理组件3连接;其中,第一外设接口的一端与外部组件(如环境感知组件等)连接,第一外设接口的另一端与第二外设接口连接。通过数据传输组件4以扩展处理组件3上的外设接口的数量,使得可以在装置主体上有限的空间内布设充足的环境感知组件,提升环境中数据的采集量,进而提升开发效率;例如,若处理组件3上仅能够布置3个外设接口,则在无数据传输组件4的情况下,装置主体上最多可以布置三个雷达传感器,但在增设数据传输组件4后,可以在数据传输组件4上布置5个外设接口,且这5个外设接口可以同时与处理组件3上的一个外设接口相连,这样除了在处理组件3上连接2个雷达传感器外,还可以在数据传输组件4上再连接5个雷达传感器,大幅增加了雷达传感器的布置数量。其中,多个第一外设接口可以集成在一个数据板上。The
此外,数据传输组件4还可以包括用于安装环境感知组件的安装接口。In addition, the
在一个示例中,数据传输组件4还包括电源转换模块,利用该电源转换模块实现为环境感知组件、运动组件和处理组件3等供电。In an example, the
下面介绍本申请实施例提供的智能辅助驾驶开发装置的使用过程及数据流向。The following describes the use process and data flow of the intelligent assisted driving development device provided by the embodiments of the present application.
首先,编写用于控制智能辅助驾驶开发装置运行的程序,并将该程序拷贝到装置主体中的程序存储组件内。First, write a program for controlling the operation of the intelligent assisted driving development device, and copy the program into the program storage component in the device main body.
接着,在处理组件上选取自启动模式,程序开始运行。处理组件将控制指令发送至运动组件,运动组件开始驱动装置主体在模拟道路上行驶。Next, select the self-start mode on the processing component, and the program starts to run. The processing component sends control commands to the motion component, and the motion component starts to drive the main body of the device to travel on the simulated road.
接着,装置主体行驶过程中,其上的摄像头、雷达传感器、超声波传感器处于工作状态。摄像头采集的数字图像经过数据传输组件传输到处理组件中,经处理组件中的处理模块进行处理后,可以通过蓝牙传输到上位机进行显示。雷达传感器通过获取到雷达回波,经数据传输组件传输到处理组件中,经处理组件中的处理模块进行处理,得到装置主体的行驶速度,然后通过蓝牙传输到上位机进行显示。超声波传感器获取的超声波也可以经数据传输组件传输到处理组件中,经处理组件中的处理模块进行处理,得到模拟道路上的障碍物信息,然后通过蓝牙传输到上位机进行显示。Then, when the main body of the device is running, the camera, radar sensor and ultrasonic sensor on it are in working state. The digital image collected by the camera is transmitted to the processing component through the data transmission component. After being processed by the processing module in the processing component, it can be transmitted to the host computer for display through Bluetooth. The radar sensor obtains the radar echo, transmits it to the processing component through the data transmission component, and processes it by the processing module in the processing component to obtain the driving speed of the main body of the device, and then transmits it to the host computer for display through Bluetooth. The ultrasonic waves obtained by the ultrasonic sensor can also be transmitted to the processing component through the data transmission component, and processed by the processing module in the processing component to obtain the obstacle information on the simulated road, and then transmitted to the host computer for display through Bluetooth.
最后,通过对装置主体行驶过程中的数据进行分析处理,确定程序开发过程中存在的缺陷,并进行改进。Finally, by analyzing and processing the data in the running process of the main body of the device, the defects existing in the process of program development are determined and improved.
综上所述,本申请实施例提供的智能辅助驾驶开发装置,能够在实验室环境下运行,使得可以在有限的空间中进行开发实验,降低了开发成本。此外,在实验室中可以模拟各种不同的路况,提升了开发效率。To sum up, the intelligent assisted driving development device provided by the embodiments of the present application can operate in a laboratory environment, so that development experiments can be performed in a limited space, and development costs are reduced. In addition, various road conditions can be simulated in the laboratory, which improves the development efficiency.
以上所述的具体实施方式,对本申请的目的、技术方案和有益效果进行了进一步详细说明,所应理解的是,以上所述仅为本申请的具体实施方式而已,并不用于限定本申请的保护范围,凡在本申请的精神和原则之内,所做的任何修改、等同替换、改进等,均应包含在本申请的保护范围之内。The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above descriptions are only specific embodiments of the present application, and are not intended to limit the Within the scope of protection, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the protection scope of this application.
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CN113515118A (en) * | 2021-04-21 | 2021-10-19 | 北京理工大学 | Movable teaching platform |
Citations (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101399556A (en) * | 2008-11-10 | 2009-04-01 | 清华大学 | Dynamically configuring, adaptive, and policy driving reflection software management method |
CN104200673A (en) * | 2014-09-01 | 2014-12-10 | 西南交通大学 | Road image based road surface slippery situation detecting method |
CN104267721A (en) * | 2014-08-29 | 2015-01-07 | 陈业军 | Unmanned driving system of intelligent automobile |
CN104836876A (en) * | 2015-01-09 | 2015-08-12 | 苏州携手智能科技有限公司 | Air quality sensing suite based on smart phone audio interface |
CN107214680A (en) * | 2017-06-14 | 2017-09-29 | 成都跃龙科技有限公司 | A kind of robot for controlling movement for teaching experiment |
CN108445885A (en) * | 2018-04-20 | 2018-08-24 | 鹤山东风新能源科技有限公司 | A kind of automated driving system and its control method based on pure electric vehicle logistic car |
CN207946703U (en) * | 2018-02-06 | 2018-10-09 | 南京南邮信息产业技术研究院有限公司 | Unmanned control system based on smart cloud |
CN108638966A (en) * | 2018-06-11 | 2018-10-12 | 南宁学院 | A kind of automobile assistant driving system and auxiliary driving method based on blind area monitoring |
US20180313724A1 (en) * | 2017-04-27 | 2018-11-01 | Baidu Online Network Technology (Beijing) Co., Ltd. | Testing method and apparatus applicable to driverless vehicle |
CN108762226A (en) * | 2018-05-14 | 2018-11-06 | 济南浪潮高新科技投资发展有限公司 | A kind of automatic driving vehicle test method, apparatus and system |
CN109062209A (en) * | 2018-08-07 | 2018-12-21 | 安徽工程大学 | A kind of intelligently auxiliary Ride Control System and its control method |
CN109669461A (en) * | 2019-01-08 | 2019-04-23 | 南京航空航天大学 | Automatic driving vehicle decision system and its method for planning track under a kind of complex working condition |
CN109949650A (en) * | 2019-03-29 | 2019-06-28 | 天津职业技术师范大学(中国职业培训指导教师进修中心) | A bench for intelligent driving assistance experiment and practical training teaching of intelligent networked vehicles |
CN109979277A (en) * | 2019-04-01 | 2019-07-05 | 北方工业大学 | A driving simulation system and miniature model car |
CN110160804A (en) * | 2019-05-31 | 2019-08-23 | 中国科学院深圳先进技术研究院 | A kind of test method of automatic driving vehicle, apparatus and system |
CN110389589A (en) * | 2019-07-26 | 2019-10-29 | 阿尔法巴人工智能(深圳)有限公司 | Intelligent driving vehicle obstacle-avoidance system and method |
CN209566913U (en) * | 2019-03-21 | 2019-11-01 | 山东交通学院 | A hub motor electric vehicle for autonomous driving |
CN110441066A (en) * | 2019-07-15 | 2019-11-12 | 中国第一汽车股份有限公司 | A kind of intelligent driving vehicle is in ring test method and test macro |
CN110435672A (en) * | 2019-08-11 | 2019-11-12 | 西藏宁算科技集团有限公司 | One kind is based on scene anticipation safe driving householder method and its system |
CN110588623A (en) * | 2019-09-30 | 2019-12-20 | 大连理工大学 | A method and system for safe driving of large vehicles based on neural network |
CN110736627A (en) * | 2019-09-30 | 2020-01-31 | 山东省科学院自动化研究所 | automatic driving test vehicle and remote control system and method thereof |
CN110750052A (en) * | 2019-09-30 | 2020-02-04 | 奇点汽车研发中心有限公司 | Driving model training method and device, electronic equipment and medium |
CN110936960A (en) * | 2018-09-21 | 2020-03-31 | 阿里巴巴集团控股有限公司 | Driving assisting method and system |
CN111221342A (en) * | 2020-03-12 | 2020-06-02 | 湖南汽车工程职业学院 | Environment sensing system for automatic driving automobile |
KR20200084456A (en) * | 2018-12-27 | 2020-07-13 | (주)새온 | Platform and Automotive platform for education of unmanned vehicle |
-
2020
- 2020-07-16 CN CN202010687546.4A patent/CN111899625A/en active Pending
Patent Citations (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101399556A (en) * | 2008-11-10 | 2009-04-01 | 清华大学 | Dynamically configuring, adaptive, and policy driving reflection software management method |
CN104267721A (en) * | 2014-08-29 | 2015-01-07 | 陈业军 | Unmanned driving system of intelligent automobile |
CN104200673A (en) * | 2014-09-01 | 2014-12-10 | 西南交通大学 | Road image based road surface slippery situation detecting method |
CN104836876A (en) * | 2015-01-09 | 2015-08-12 | 苏州携手智能科技有限公司 | Air quality sensing suite based on smart phone audio interface |
US20180313724A1 (en) * | 2017-04-27 | 2018-11-01 | Baidu Online Network Technology (Beijing) Co., Ltd. | Testing method and apparatus applicable to driverless vehicle |
CN107214680A (en) * | 2017-06-14 | 2017-09-29 | 成都跃龙科技有限公司 | A kind of robot for controlling movement for teaching experiment |
CN207946703U (en) * | 2018-02-06 | 2018-10-09 | 南京南邮信息产业技术研究院有限公司 | Unmanned control system based on smart cloud |
CN108445885A (en) * | 2018-04-20 | 2018-08-24 | 鹤山东风新能源科技有限公司 | A kind of automated driving system and its control method based on pure electric vehicle logistic car |
CN108762226A (en) * | 2018-05-14 | 2018-11-06 | 济南浪潮高新科技投资发展有限公司 | A kind of automatic driving vehicle test method, apparatus and system |
CN108638966A (en) * | 2018-06-11 | 2018-10-12 | 南宁学院 | A kind of automobile assistant driving system and auxiliary driving method based on blind area monitoring |
CN109062209A (en) * | 2018-08-07 | 2018-12-21 | 安徽工程大学 | A kind of intelligently auxiliary Ride Control System and its control method |
CN110936960A (en) * | 2018-09-21 | 2020-03-31 | 阿里巴巴集团控股有限公司 | Driving assisting method and system |
KR20200084456A (en) * | 2018-12-27 | 2020-07-13 | (주)새온 | Platform and Automotive platform for education of unmanned vehicle |
CN109669461A (en) * | 2019-01-08 | 2019-04-23 | 南京航空航天大学 | Automatic driving vehicle decision system and its method for planning track under a kind of complex working condition |
CN209566913U (en) * | 2019-03-21 | 2019-11-01 | 山东交通学院 | A hub motor electric vehicle for autonomous driving |
CN109949650A (en) * | 2019-03-29 | 2019-06-28 | 天津职业技术师范大学(中国职业培训指导教师进修中心) | A bench for intelligent driving assistance experiment and practical training teaching of intelligent networked vehicles |
CN109979277A (en) * | 2019-04-01 | 2019-07-05 | 北方工业大学 | A driving simulation system and miniature model car |
CN110160804A (en) * | 2019-05-31 | 2019-08-23 | 中国科学院深圳先进技术研究院 | A kind of test method of automatic driving vehicle, apparatus and system |
CN110441066A (en) * | 2019-07-15 | 2019-11-12 | 中国第一汽车股份有限公司 | A kind of intelligent driving vehicle is in ring test method and test macro |
CN110389589A (en) * | 2019-07-26 | 2019-10-29 | 阿尔法巴人工智能(深圳)有限公司 | Intelligent driving vehicle obstacle-avoidance system and method |
CN110435672A (en) * | 2019-08-11 | 2019-11-12 | 西藏宁算科技集团有限公司 | One kind is based on scene anticipation safe driving householder method and its system |
CN110588623A (en) * | 2019-09-30 | 2019-12-20 | 大连理工大学 | A method and system for safe driving of large vehicles based on neural network |
CN110736627A (en) * | 2019-09-30 | 2020-01-31 | 山东省科学院自动化研究所 | automatic driving test vehicle and remote control system and method thereof |
CN110750052A (en) * | 2019-09-30 | 2020-02-04 | 奇点汽车研发中心有限公司 | Driving model training method and device, electronic equipment and medium |
CN111221342A (en) * | 2020-03-12 | 2020-06-02 | 湖南汽车工程职业学院 | Environment sensing system for automatic driving automobile |
Non-Patent Citations (1)
Title |
---|
杨倩等: "贵阳自动驾驶公交车环境感知系统设计及测试研究", no. 1, pages 68 - 72 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113515118A (en) * | 2021-04-21 | 2021-10-19 | 北京理工大学 | Movable teaching platform |
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