CN114604270A - An automatic driving system for an electric vehicle - Google Patents
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Abstract
Description
技术领域technical field
本发明涉及汽车自动行驶技术领域,尤其涉及一种电动汽车自动行驶系统。The invention relates to the technical field of automatic driving of automobiles, in particular to an automatic driving system of electric vehicles.
背景技术Background technique
电动汽车是指以车载电源为动力,用电机驱动车轮行驶,符合道路交通、安全法规各项要求的车辆,随着社会的不断发展,电动汽车能够逐渐实现在无驾驶员操作的情况下自行驾驶。Electric vehicles refer to vehicles powered by on-board power supply and driven by motors that meet the requirements of road traffic and safety regulations. With the continuous development of society, electric vehicles can gradually realize self-driving without driver operation. .
中国专利CN109866765A公开了“一种无人驾驶电动汽车安全行驶系统”,其中包括自动驾驶装置与自动驾驶系统,通过车载传感器感知路面环境,并通过感知所获得的道路、车辆位置和障碍物信息,控制车辆的转向和速度,自动规划行车路线从而使汽车到达预定目标,虽然该专利通过判断路面障碍物提高行驶时的安全性,但在电动汽车的行驶过程中,能捕捉到的路面信息并不丰富,当汽车行驶至红绿灯位置处时,无法根据红绿灯的指示做出准确的判断,存在一定的自动驾驶风险。Chinese patent CN109866765A discloses "a safe driving system for unmanned electric vehicles", which includes an automatic driving device and an automatic driving system. Control the steering and speed of the vehicle, and automatically plan the driving route so that the car reaches the predetermined target. Although the patent improves the safety of driving by judging road obstacles, the road information that can be captured during the driving of electric vehicles does not Rich, when the car is driving to the position of the traffic light, it cannot make an accurate judgment according to the instructions of the traffic light, and there is a certain risk of automatic driving.
发明内容SUMMARY OF THE INVENTION
本发明的目的是为了解决现有技术中存在的缺点,而提出的一种电动汽车自动行驶系统。The purpose of the present invention is to propose an automatic driving system for electric vehicles in order to solve the shortcomings existing in the prior art.
为了实现上述目的,本发明采用了如下技术方案:一种电动汽车自动行驶系统,所述电动汽车自动行驶系统包括:In order to achieve the above purpose, the present invention adopts the following technical solutions: an electric vehicle automatic driving system, the electric vehicle automatic driving system includes:
感知组件,利用监控设备对车辆自身以及环境信息的采集与处理,包括视频信息、gps信息、车辆姿态、加速度信息;Perception component, which uses monitoring equipment to collect and process information about the vehicle itself and its environment, including video information, gps information, vehicle attitude, and acceleration information;
高精定位组件,利用感知组件获取路面情况,同时利用车辆接收设备验证位置坐标信息,根据场景数据进行匹配处理得到场景地图,再基于场景地图判断并定位车辆所处车道,最终按照该车道的路径指向行驶;The high-precision positioning component uses the perception component to obtain the road surface, and uses the vehicle receiving device to verify the location coordinate information, performs matching processing according to the scene data to obtain the scene map, and then judges and locates the lane of the vehicle based on the scene map, and finally follows the path of the lane. point to drive;
预测组件,利用感知组件逐帧获取路面障碍物情况,同时预测感知到的障碍物的多种运动轨迹,并计算感知范围内障碍物可能移动的位置坐标;The prediction component uses the perception component to obtain road obstacles frame by frame, predicts the various motion trajectories of the perceived obstacles, and calculates the possible position coordinates of the obstacles within the perception range;
规划组件,根据感知组件感知到的信息,规划出一条到达目的地的行进路线,而且还需要规划出未来一段时间内,每一时刻所在位置的精细轨迹和车辆状态,并且根据道路上的交通灯和停止线位置规划车辆等待时间;The planning component, based on the information sensed by the sensing component, plans a route to the destination, and also needs to plan the fine trajectory and vehicle status of the location at each moment in the future, and according to the traffic lights on the road. and the position of the stop line to plan the waiting time of the vehicle;
控制组件,通过感知组件查看路面情况,并发送指令控制使制动器进行制动操作,当车辆转弯时,实现转弯控制,同时还包括打开转向灯,以及加速减速控制等。The control component checks the road surface through the sensing component, and sends commands to control the brakes to perform the braking operation. When the vehicle turns, it realizes the turning control, and also includes turning on the turn signal, and acceleration and deceleration control.
为了将信号传输,本发明改进有,所述感知组件是通过无线传输模块与网络中心、用户中心和无线广播进行无线信号连接。In order to transmit the signal, the present invention improves that the sensing component is connected with the network center, the user center and the wireless broadcast through the wireless transmission module.
为了监控路面情况,本发明改进有,所述监控设备为摄像头、激光雷达、毫米波雷达、超声波雷达和GNSS/IMU中的其中一种或多种,并且监控设备分别安装在电动汽车的前端、后端以及侧端。In order to monitor road conditions, the present invention improves that the monitoring device is one or more of cameras, lidar, millimeter-wave radar, ultrasonic radar, and GNSS/IMU, and the monitoring devices are respectively installed on the front end, rear and side ends.
为了感知车辆四周情况,本发明改进有,所述感知组件用于判断前方是否有车,以及前方障碍物是否是人,红绿灯的颜色,车辆的车速,路面情况等。In order to perceive the situation around the vehicle, the present invention improves that the perception component is used to determine whether there is a vehicle ahead, whether the obstacle ahead is a person, the color of traffic lights, the speed of the vehicle, the road conditions, and the like.
为了接收地图信息,本发明改进有,所述车辆接收设备为GPS、GLONASS或BDS卫星接收机,同时车辆接收设备通过外部网络获取区域网的测站观测值和广播星历。In order to receive map information, the present invention improves that the vehicle receiving device is a GPS, GLONASS or BDS satellite receiver, and meanwhile, the vehicle receiving device obtains the station observation value and broadcast ephemeris of the local area network through an external network.
为了判断运动轨迹,本发明改进有,所述多种运动轨迹至少选择其中一条运动轨迹作为预测结果。In order to judge the motion trajectory, the present invention is improved by selecting at least one motion trajectory from the multiple motion trajectories as the prediction result.
为了判断障碍物是否活动,本发明改进有,所述预测组件感知到静止障碍物时,则对周边的障碍物进行检测,若周边障碍物仍为静止,则继续行驶。In order to determine whether an obstacle is active, the present invention improves that when the predicting component senses a stationary obstacle, it detects surrounding obstacles, and if the surrounding obstacles are still stationary, it continues driving.
为了监测车辆状态,本发明改进有,所述车辆状态包括行驶速度、加速度、航向角以及航向角角速度。In order to monitor the vehicle state, the present invention improves that the vehicle state includes traveling speed, acceleration, heading angle and heading angular velocity.
为了提高车辆转弯时的安全性,本发明改进有,所述转弯控制过程中,如果车辆路径存在辅道线,则判断路面情况再进行转弯控制,如果车辆路径不存在辅道线,则之间进行转弯控制。In order to improve the safety of the vehicle when turning Take turn control.
为了使车辆及时充电,本发明改进有,所述规划组件在规划行程后,通过判断车辆的电池电量,还能够推荐就近充电点进行充电。In order to charge the vehicle in time, the present invention improves that, after planning the trip, the planning component can also recommend a nearby charging point for charging by judging the battery power of the vehicle.
与现有技术相比,本发明的优点和积极效果在于,Compared with the prior art, the advantages and positive effects of the present invention are,
本发明中,通过感知组件采集初步的环境信息以及信号灯的颜色,并且利用高精定位组件,根据场景数据进行匹配处理得到场景地图获取坐标信息,同时根据感知组件感知到的信息,规划出一条到达目的地的行进路线,而且还需要规划出未来一段时间内,每一时刻所在位置的精细轨迹和车辆状态,并且根据道路上的交通灯和停止线位置规划车辆等待时间,增加了车辆停留在信号灯前的安全性,减少了车辆在路口行驶时的风险。In the present invention, preliminary environmental information and the color of the signal light are collected by the sensing component, and the high-precision positioning component is used to perform matching processing according to the scene data to obtain the scene map to obtain the coordinate information. The travel route of the destination, and it is also necessary to plan the fine trajectory and vehicle status of the location at each moment in the future, and plan the waiting time of the vehicle according to the traffic lights and stop line positions on the road, which increases the number of vehicles staying at the signal lights. The safety of the front is reduced, and the risk of the vehicle when driving at the intersection is reduced.
附图说明Description of drawings
图1为本发明提出一种电动汽车自动行驶系统的结构框图。FIG. 1 is a structural block diagram of an electric vehicle automatic driving system proposed by the present invention.
具体实施方式Detailed ways
为了能够更清楚地理解本发明的上述目的、特征和优点,下面结合附图和实施例对本发明做进一步说明。需要说明的是,在不冲突的情况下,本申请的实施例及实施例中的特征可以相互组合。In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described below with reference to the accompanying drawings and embodiments. It should be noted that the embodiments of the present application and the features in the embodiments may be combined with each other under the condition of no conflict.
在下面的描述中阐述了很多具体细节以便于充分理解本发明,但是,本发明还可以采用不同于在此描述的其他方式来实施,因此,本发明并不限于下面公开说明书的具体实施例的限制。Many specific details are set forth in the following description to facilitate a full understanding of the present invention, however, the present invention may also be implemented in other ways than those described herein, and therefore, the present invention is not limited to the specific embodiments disclosed in the following description. limit.
实施例一,请参阅图1,本发明提供一种技术方案:一种电动汽车自动行驶系统,电动汽车自动行驶系统包括:Embodiment 1, please refer to FIG. 1, the present invention provides a technical solution: an electric vehicle automatic driving system, the electric vehicle automatic driving system includes:
感知组件,利用监控设备对车辆自身以及环境信息的采集与处理,包括视频信息、gps信息、车辆姿态、加速度信息,汽车GPS导航系统是以全球24颗定位人造卫星为基础,向全球各地全天候地提供三维位置、三维速度等信息的一种无线电导航定位系统,它由三部分构成,一是地面控制部分,由主控站、地面天线、滥测站及通讯辅助系统组成,二是空间部分,由24颗卫星组成,分布在6个轨道平面,三是用户装置部分,由GPS接收机和卫星天线组成,民用的定位精度可达10米内,感知层会收集大量的自车和环境数据,决策层需要自动驾驶芯片流畅地处理这些数据才能保证系统及时作出正确的决策,从而控制车辆自动行驶并确保安全;The perception component uses monitoring equipment to collect and process information about the vehicle itself and its environment, including video information, gps information, vehicle attitude, and acceleration information. The car GPS navigation system is based on 24 positioning satellites around the world. A radio navigation and positioning system that provides three-dimensional position, three-dimensional speed and other information, it consists of three parts, one is the ground control part, which is composed of the main control station, ground antenna, indiscriminate measurement station and communication auxiliary system, and the other is the space part, It consists of 24 satellites, which are distributed in 6 orbital planes. The third is the user device part, which consists of GPS receivers and satellite antennas. The civilian positioning accuracy can reach within 10 meters. The perception layer will collect a large amount of self-vehicle and environmental data to make decisions. The layer requires the autonomous driving chip to process these data smoothly to ensure that the system makes timely and correct decisions, so as to control the automatic driving of the vehicle and ensure safety;
高精定位组件,利用感知组件获取路面情况,同时利用车辆接收设备验证位置坐标信息,根据场景数据进行匹配处理得到场景地图,再基于场景地图判断并定位车辆所处车道,最终按照该车道的路径指向行驶;The high-precision positioning component uses the perception component to obtain road conditions, and uses the vehicle receiving equipment to verify the location coordinate information, and performs matching processing according to the scene data to obtain a scene map. Based on the scene map, it determines and locates the lane where the vehicle is located, and finally follows the path of the lane. point to drive;
预测组件,利用感知组件逐帧获取路面障碍物情况,同时预测感知到的障碍物的多种运动轨迹,并计算感知范围内障碍物可能移动的位置坐标;The prediction component uses the perception component to obtain road obstacles frame by frame, predicts the various motion trajectories of the perceived obstacles, and calculates the possible position coordinates of the obstacles within the perception range;
规划组件,根据感知组件感知到的信息,规划出一条到达目的地的行进路线,而且还需要规划出未来一段时间内,每一时刻所在位置的精细轨迹和车辆状态,并且根据道路上的交通灯和停止线位置规划车辆等待时间;The planning component, based on the information sensed by the sensing component, plans a route to the destination, and also needs to plan the fine trajectory and vehicle status of the location at each moment in the future, and according to the traffic lights on the road. and the position of the stop line to plan the waiting time of the vehicle;
控制组件,通过感知组件查看路面情况,并发送指令控制使制动器进行制动操作,当车辆转弯时,实现转弯控制,同时还包括打开转向灯,以及加速减速控制等,控制层主要是线控,是用线(电信号)的形式来取代机械、液压或气动等形式的连接,实现电子控制,从而不再需要驾驶员的力量或者扭矩的输入。The control component checks the road surface through the sensing component, and sends commands to control the brake to perform the braking operation. When the vehicle turns, it realizes the turning control, and also includes turning on the turn signal, and acceleration and deceleration control. The control layer is mainly wire control, It is to replace mechanical, hydraulic or pneumatic connections in the form of wires (electrical signals) to realize electronic control, so that the input of the driver's power or torque is no longer required.
本实施例中,感知组件是通过无线传输模块与网络中心、用户中心和无线广播进行无线信号连接。In this embodiment, the sensing component performs wireless signal connection with the network center, the user center and the wireless broadcast through the wireless transmission module.
本实施例中,监控设备为摄像头、激光雷达、毫米波雷达、超声波雷达和GNSS/IMU中的其中一种或多种,并且监控设备分别安装在电动汽车的前端、后端以及侧端,摄像头可分为数字摄像头和模拟摄像头两大类。数字摄像头可以将视频采集设备产生的模拟视频信号转换成数字信号,进而将其储存在计算机里,模拟摄像头捕捉到的视频信号必须经过特定的视频捕捉卡将模拟信号转换成数字模式,并加以压缩后才可以转换到计算机上运用,数字摄像头可以直接捕捉影像,然后通过串、并口或者USB接口传到计算机里,毫米波雷达对灰尘的穿透能力强,并且抗干扰能力强,测量准确度非常高,范围在200米以内,是首推的监控设备,全球导航卫星系统(GNSS)定位是利用一组卫星的伪距、星历、卫星发射时间等观测量,同时还必须知道用户钟差。全球导航卫星系统是能在地球表面或近地空间的任何地点为用户提供全天候的3维坐标和速度以及时间信息的空基无线电导航定位系统。In this embodiment, the monitoring devices are one or more of cameras, lidars, millimeter-wave radars, ultrasonic radars, and GNSS/IMU, and the monitoring devices are installed at the front, rear, and side ends of the electric vehicle, respectively. It can be divided into two categories: digital cameras and analog cameras. The digital camera can convert the analog video signal generated by the video capture device into a digital signal, and then store it in the computer. The video signal captured by the analog camera must be converted into a digital mode by a specific video capture card and compressed. After that, it can be converted to a computer for use. The digital camera can directly capture the image, and then transmit it to the computer through the serial port, parallel port or USB interface. High, the range is within 200 meters, is the first monitoring equipment, Global Navigation Satellite System (GNSS) positioning is to use a group of satellites pseudorange, ephemeris, satellite launch time and other observations, and must also know the user clock offset. GNSS is a space-based radio navigation and positioning system that can provide users with all-weather 3-dimensional coordinates, velocity and time information anywhere on the earth's surface or near-Earth space.
本实施例中,感知组件用于判断前方是否有车,以及前方障碍物是否是人,红绿灯的颜色,车辆的车速,路面情况等。In this embodiment, the sensing component is used to determine whether there is a car ahead, whether the obstacle in front is a person, the color of the traffic light, the speed of the vehicle, the road conditions, and the like.
本实施例中,车辆接收设备为GPS、GLONASS或BDS卫星接收机,同时车辆接收设备通过外部网络获取区域网的测站观测值和广播星历,GPS是一种以人造地球卫星为基础的高精度无线电导航的定位系统,它在全球任何地方以及近地空间都能够提供准确的地理位置、车行速度及精确的时间信息。In this embodiment, the vehicle receiving device is a GPS, GLONASS or BDS satellite receiver, and at the same time, the vehicle receiving device obtains the station observations and broadcast ephemeris of the regional network through an external network. GPS is an artificial earth satellite-based high-speed A positioning system for precision radio navigation, it can provide accurate geographic location, vehicle speed and precise time information anywhere in the world and in near-Earth space.
本实施例中,多种运动轨迹至少选择其中一条运动轨迹作为预测结果,通过选择的运动轨迹,使车辆行驶过程中能够快速做出判断。In this embodiment, at least one of the multiple motion trajectories is selected as the prediction result, and the selected motion trajectory enables the vehicle to quickly make a judgment during the driving process.
本实施例中,预测组件感知到静止障碍物时,则对周边的障碍物进行检测,若周边障碍物仍为静止,则继续行驶,通过检测周边障碍物的方式,判断障碍物是车辆或建筑物,如判断的障碍物是车辆,则进行下一步的预测。In this embodiment, when the predicting component senses a stationary obstacle, it detects the surrounding obstacles. If the surrounding obstacles are still stationary, it continues to drive, and determines whether the obstacle is a vehicle or a building by detecting the surrounding obstacles. If the judged obstacle is a vehicle, the next step is predicted.
本实施例中,车辆状态包括行驶速度、加速度、航向角以及航向角角速度。In this embodiment, the vehicle state includes the traveling speed, acceleration, heading angle, and heading angular velocity.
本实施例中,转弯控制过程中,如果车辆路径存在辅道线,则判断路面情况再进行转弯控制,如果车辆路径不存在辅道线,则之间进行转弯控制。In this embodiment, during the turning control process, if there is an auxiliary road line on the vehicle path, the road condition is judged and then the turning control is performed, and if there is no auxiliary road line on the vehicle path, the turning control is performed in between.
本实施例中,规划组件在规划行程后,通过判断车辆的电池电量,还能够推荐就近充电点进行充电,通过规划就近的充电点,使车辆在行驶过程中能够及时得到充电。In this embodiment, after planning the trip, the planning component can also recommend the nearest charging point for charging by judging the battery power of the vehicle, and by planning the nearest charging point, the vehicle can be charged in time during driving.
从上述实施例可以看出,本发明中,通过感知组件采集初步的环境信息以及信号灯的颜色,并且利用高精定位组件,根据场景数据进行匹配处理得到场景地图获取坐标信息,同时根据感知组件感知到的信息,规划出一条到达目的地的行进路线,而且还需要规划出未来一段时间内,每一时刻所在位置的精细轨迹和车辆状态,并且根据道路上的交通灯和停止线位置规划车辆等待时间,增加了车辆停留在信号灯前的安全性,减少了车辆在路口行驶时的风险。It can be seen from the above embodiment that in the present invention, the sensing component collects preliminary environmental information and the color of the signal light, and the high-precision positioning component is used to perform matching processing according to the scene data to obtain the scene map to obtain the coordinate information, and at the same time, the sensing component senses the coordinate information. The information received, plan a travel route to the destination, and also need to plan the fine trajectory and vehicle status of the location at each moment in the future, and plan the vehicle waiting according to the traffic lights on the road and the position of the stop line Time, increase the safety of the vehicle staying in front of the signal light and reduce the risk of the vehicle when driving at the intersection.
以上所述,仅是本发明的较佳实施例而已,并非是对本发明作其它形式的限制,任何熟悉本专业的技术人员可能利用上述揭示的技术内容加以变更或改型为等同变化的等效实施例应用于其它领域,但是凡是未脱离本发明技术方案内容,依据本发明的技术实质对以上实施例所作的任何简单修改、等同变化与改型,仍属于本发明技术方案的保护范围。The above are only preferred embodiments of the present invention, and are not intended to limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications to equivalent changes. The embodiments are applied to other fields, but any simple modifications, equivalent changes and modifications made to the above embodiments according to the technical essence of the present invention still belong to the protection scope of the technical solutions of the present invention without departing from the content of the technical solutions of the present invention.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115817462A (en) * | 2022-12-21 | 2023-03-21 | 北京和绪科技有限公司 | Automatic recognition system for automobile |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6338021B1 (en) * | 1999-09-29 | 2002-01-08 | Matsushita Electric Industrial Co., Ltd. | Route selection method and system |
CN106441319A (en) * | 2016-09-23 | 2017-02-22 | 中国科学院合肥物质科学研究院 | A system and method for generating a lane-level navigation map of an unmanned vehicle |
CN111258312A (en) * | 2020-01-20 | 2020-06-09 | 深圳市商汤科技有限公司 | Movable model, control method, device, system, equipment and storage medium thereof |
CN111397631A (en) * | 2020-04-10 | 2020-07-10 | 上海安吉星信息服务有限公司 | Navigation path planning method and device and navigation equipment |
CN111422196A (en) * | 2020-04-16 | 2020-07-17 | 金龙联合汽车工业(苏州)有限公司 | Intelligent networking automatic driving system and method suitable for mini bus |
CN111582079A (en) * | 2020-04-24 | 2020-08-25 | 杭州鸿泉物联网技术股份有限公司 | Lane positioning method and device based on computer vision |
CN112026772A (en) * | 2020-08-14 | 2020-12-04 | 清华大学 | Real-time path planning and distributed control method for intelligent networked automobile |
CN112327865A (en) * | 2020-11-17 | 2021-02-05 | 易特智行科技(广州)有限公司 | Automatic driving system and method |
CN112612287A (en) * | 2020-12-28 | 2021-04-06 | 清华大学 | System, method, medium and device for planning local path of automatic driving automobile |
CN113799797A (en) * | 2021-07-27 | 2021-12-17 | 北京三快在线科技有限公司 | Trajectory planning method and device, storage medium and electronic equipment |
CN113984079A (en) * | 2021-10-26 | 2022-01-28 | 沈阳美行科技有限公司 | Route planning method and device for electric vehicle, electronic equipment and storage medium |
-
2022
- 2022-03-07 CN CN202210224106.4A patent/CN114604270A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6338021B1 (en) * | 1999-09-29 | 2002-01-08 | Matsushita Electric Industrial Co., Ltd. | Route selection method and system |
CN106441319A (en) * | 2016-09-23 | 2017-02-22 | 中国科学院合肥物质科学研究院 | A system and method for generating a lane-level navigation map of an unmanned vehicle |
CN111258312A (en) * | 2020-01-20 | 2020-06-09 | 深圳市商汤科技有限公司 | Movable model, control method, device, system, equipment and storage medium thereof |
CN111397631A (en) * | 2020-04-10 | 2020-07-10 | 上海安吉星信息服务有限公司 | Navigation path planning method and device and navigation equipment |
CN111422196A (en) * | 2020-04-16 | 2020-07-17 | 金龙联合汽车工业(苏州)有限公司 | Intelligent networking automatic driving system and method suitable for mini bus |
CN111582079A (en) * | 2020-04-24 | 2020-08-25 | 杭州鸿泉物联网技术股份有限公司 | Lane positioning method and device based on computer vision |
CN112026772A (en) * | 2020-08-14 | 2020-12-04 | 清华大学 | Real-time path planning and distributed control method for intelligent networked automobile |
CN112327865A (en) * | 2020-11-17 | 2021-02-05 | 易特智行科技(广州)有限公司 | Automatic driving system and method |
CN112612287A (en) * | 2020-12-28 | 2021-04-06 | 清华大学 | System, method, medium and device for planning local path of automatic driving automobile |
CN113799797A (en) * | 2021-07-27 | 2021-12-17 | 北京三快在线科技有限公司 | Trajectory planning method and device, storage medium and electronic equipment |
CN113984079A (en) * | 2021-10-26 | 2022-01-28 | 沈阳美行科技有限公司 | Route planning method and device for electric vehicle, electronic equipment and storage medium |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115817462A (en) * | 2022-12-21 | 2023-03-21 | 北京和绪科技有限公司 | Automatic recognition system for automobile |
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