CN114817370A - Automatic driving vehicle reproduction method, device, computer equipment and storage medium - Google Patents
Automatic driving vehicle reproduction method, device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN114817370A CN114817370A CN202210509153.3A CN202210509153A CN114817370A CN 114817370 A CN114817370 A CN 114817370A CN 202210509153 A CN202210509153 A CN 202210509153A CN 114817370 A CN114817370 A CN 114817370A
- Authority
- CN
- China
- Prior art keywords
- automatic driving
- vehicle
- driving
- data
- situation
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Software Systems (AREA)
- Remote Sensing (AREA)
- Mathematical Physics (AREA)
- Health & Medical Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Marketing (AREA)
- Fuzzy Systems (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Traffic Control Systems (AREA)
Abstract
本申请涉及一种自动驾驶车辆重现方法、装置、计算机设备和存储介质。该方法包括:接收查询请求,查询请求携带时间信息;获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件;根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。采用本方法能够直观地将自动驾驶车辆的自动驾驶事件呈现出来。
The present application relates to a method, apparatus, computer equipment and storage medium for reproducing an automatic driving vehicle. The method includes: receiving a query request, and the query request carries time information; acquiring an automatic driving event corresponding to an automatic driving vehicle within a target time period corresponding to the time information; continuously and dynamically displaying the automatic driving situation of the automatic driving vehicle on a map according to the automatic driving event . Using this method, the automatic driving events of the automatic driving vehicle can be presented intuitively.
Description
技术领域technical field
本申请涉及计算机技术领域,特别是涉及一种自动驾驶车辆重现方法、装置、计算机设备和存储介质。The present application relates to the field of computer technology, and in particular, to a method, apparatus, computer device and storage medium for reproducing an autonomous driving vehicle.
背景技术Background technique
随着计算机技术的发展,出现了自动驾驶技术,自动驾驶技术属于无人驾驶,自动驾驶车辆上并没有人类主动操作,而是通过计算机系统进行操作。而自动驾驶车辆的自动驾驶事件对自动驾驶车辆的技术人员来说也比较重要,技术人员需要根据自动驾驶事件分析自动驾驶车辆的自动驾驶情况,而目前,自动驾驶车辆将自动驾驶事件上传至服务器,技术人员通过服务器上的自动驾驶事件进行分析,得到自动驾驶情况,但是这种方式,无法很直观地了解自动驾驶车辆的自动驾驶情况。With the development of computer technology, automatic driving technology has emerged. Autonomous driving technology belongs to unmanned driving. There is no human active operation on the automatic driving vehicle, but the operation is carried out through the computer system. The auto-driving event of the autonomous vehicle is also important to the technicians of the autonomous vehicle. The technician needs to analyze the auto-driving situation of the auto-driving vehicle according to the auto-driving event. At present, the auto-driving vehicle uploads the auto-driving event to the server. , the technician analyzes the automatic driving events on the server to obtain the automatic driving situation, but in this way, it is impossible to intuitively understand the automatic driving situation of the automatic driving vehicle.
发明内容SUMMARY OF THE INVENTION
基于此,有必要针对上述技术问题,提供一种能够直观地将自动驾驶车辆的自动驾驶事件呈现出来的自动驾驶车辆重现方法、装置、计算机设备和存储介质。Based on this, it is necessary to provide an automatic driving vehicle reproduction method, apparatus, computer equipment and storage medium that can intuitively present the automatic driving events of the automatic driving vehicle in view of the above technical problems.
一种自动驾驶车辆重现方法,该方法包括:A method for reproducing an autonomous vehicle, the method comprising:
接收查询请求,查询请求携带时间信息;Receive a query request, and the query request carries time information;
获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件;Obtain the autopilot events corresponding to the autopilot vehicle within the target time period corresponding to the time information;
根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。Continuously and dynamically displays the self-driving situation of the self-driving vehicle on the map based on the self-driving event.
在其中一个实施例中,接收查询请求之前,包括:采集自动驾驶车辆在各时间段内发生的候选自动驾驶事件,候选自动驾驶事件包括自动驾驶车辆的自动驾驶路线、自动驾驶车辆的派单情况以及自动驾驶车辆的驾驶状态数据,存储候选自动驾驶事件。In one of the embodiments, before receiving the query request, the method includes: collecting candidate automatic driving events that occur in each time period of the automatic driving vehicle, where the candidate automatic driving events include the automatic driving route of the automatic driving vehicle and the dispatching situation of the automatic driving vehicle. As well as the driving state data of the autonomous vehicle, candidate autonomous driving events are stored.
在其中一个实施例中,获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件,包括:根据时间信息从各时间段内发生的候选自动驾驶事件中筛选出目标时间段内的自动驾驶事件。In one embodiment, acquiring the autopilot events corresponding to the autopilot vehicle within the target time period corresponding to the time information includes: filtering out candidate autopilot events within the target time period from candidate autopilot events occurring in each time period according to the time information. Autopilot events.
在其中一个实施例中,根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况,包括:获取自动驾驶事件对应的自动驾驶路线、派单情况和驾驶状态数据,在地图上连续动态显示自动驾驶车辆的自动驾驶路线、派单情况和驾驶状态数据。In one embodiment, the automatic driving situation of the automatic driving vehicle is continuously and dynamically displayed on the map according to the automatic driving event, including: acquiring the automatic driving route, dispatching situation and driving state data corresponding to the automatic driving event, and continuously and dynamically displaying the data on the map. Displays self-driving routes, dispatches, and driving status data for self-driving vehicles.
在其中一个实施例中,获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件之后,还包括:获取自动驾驶事件对应的自动驾驶路线,根据自动驾驶路线确定自动驾驶起始位置和自动驾驶终止位置,在地图上呈现自动驾驶车辆从自动驾驶起始位置行驶至自动驾驶终止位置的动画。In one embodiment, after acquiring the auto-driving event corresponding to the auto-driving vehicle within the target time period corresponding to the time information, the method further includes: acquiring the auto-driving route corresponding to the auto-driving event, and determining the auto-driving starting position according to the auto-driving route and the autopilot end position, an animation of the autopilot vehicle traveling from the autopilot start position to the autopilot end position is presented on the map.
在其中一个实施例中,根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况之后,包括:从自动驾驶情况中确定异常自动驾驶数据,将异常自动驾驶数据推送至异常分析设备,以使异常分析设备对异常自动驾驶数据进行异常分析,得到异常自动驾驶分析结果。In one of the embodiments, after continuously and dynamically displaying the automatic driving situation of the automatic driving vehicle on the map according to the automatic driving event, the method includes: determining abnormal automatic driving data from the automatic driving situation, and pushing the abnormal automatic driving data to the abnormality analysis device, In order to make the abnormal analysis device perform abnormal analysis on abnormal automatic driving data, and obtain abnormal automatic driving analysis results.
在其中一个实施例中,从自动驾驶情况中确定异常自动驾驶数据,包括:获取自动驾驶情况对应的自动驾驶数据集,获取自动驾驶数据集中各自动驾驶数据对应的驾驶数据特征,根据驾驶数据特征从自动驾驶数据集中筛选出异常自动驾驶数据。In one of the embodiments, determining abnormal automatic driving data from the automatic driving situation includes: obtaining an automatic driving data set corresponding to the automatic driving situation, obtaining driving data features corresponding to each automatic driving data in the automatic driving data set, and according to the driving data features Filter out abnormal autopilot data from autopilot datasets.
一种自动驾驶车辆重现装置,该装置包括:An automatic driving vehicle reproduction device, the device includes:
接收模块,用于接收查询请求,查询请求携带时间信息;The receiving module is used to receive the query request, and the query request carries time information;
获取模块,用于获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件;an acquisition module, used to acquire the autopilot event corresponding to the autopilot vehicle within the target time period corresponding to the time information;
显示模块,用于根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。The display module is used to continuously and dynamically display the automatic driving situation of the automatic driving vehicle on the map according to the automatic driving event.
一种计算机设备,包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序,所述处理器执行所述计算机程序时实现以下步骤:A computer device, comprising a memory, a processor and a computer program stored in the memory and running on the processor, the processor implements the following steps when executing the computer program:
接收查询请求,查询请求携带时间信息;Receive a query request, and the query request carries time information;
获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件;Obtain the autopilot events corresponding to the autopilot vehicle within the target time period corresponding to the time information;
根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。Continuously and dynamically displays the self-driving situation of the self-driving vehicle on the map based on the self-driving event.
一种计算机可读存储介质,其上存储有计算机程序,所述计算机程序被处理器执行时实现以下步骤:A computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:
接收查询请求,查询请求携带时间信息;Receive a query request, and the query request carries time information;
获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件;Obtain the autopilot events corresponding to the autopilot vehicle within the target time period corresponding to the time information;
根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。Continuously and dynamically displays the self-driving situation of the self-driving vehicle on the map based on the self-driving event.
上述自动驾驶车辆重现方法、装置、计算机设备和存储介质,服务器接收查询请求,查询请求携带时间信息;获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件;根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。通过向服务器发送查询请求,根据查询请求查找与时间信息匹配的自动驾驶事件,在地图上以动画的行驶将自动驾驶事件展示出来,可以直观地、清楚地了解到自动驾驶车辆的自动驾驶情况,方便追溯自动驾驶车辆的自动驾驶情况。In the above method, device, computer equipment and storage medium for reproducing an automatic driving vehicle, the server receives a query request, and the query request carries time information; obtains the automatic driving event corresponding to the automatic driving vehicle within the target time period corresponding to the time information; according to the automatic driving event Continuously and dynamically display the autonomous driving situation of the autonomous vehicle on the map. By sending a query request to the server, finding the autopilot events matching the time information according to the query request, and displaying the autopilot events on the map with animation driving, you can intuitively and clearly understand the autopilot situation of the autopilot vehicle. It is convenient to trace the self-driving situation of self-driving vehicles.
附图说明Description of drawings
图1为一个实施例中自动驾驶车辆重现方法的应用环境图;FIG. 1 is an application environment diagram of a method for reproducing an automatic driving vehicle in one embodiment;
图2为一个实施例中自动驾驶车辆重现方法的流程示意图;2 is a schematic flowchart of a method for reproducing an autonomous driving vehicle in one embodiment;
图2A为一个实施例中自动驾驶车辆的自动驾驶情况的界面示意图;2A is a schematic interface diagram of an autonomous driving situation of an autonomous vehicle in one embodiment;
图3为一个实施例中自动驾驶车辆重现方法的流程示意图;3 is a schematic flowchart of a method for reproducing an autonomous driving vehicle in one embodiment;
图4为一个实施例中自动驾驶情况显示步骤的流程示意图;FIG. 4 is a schematic flowchart of a step of displaying an automatic driving situation in one embodiment;
图4A为一个实施例中自动驾驶车辆在地图上的显示示意图;4A is a schematic diagram of displaying an autonomous vehicle on a map in one embodiment;
图5为一个实施例中自动驾驶车辆重现方法的流程示意图;5 is a schematic flowchart of a method for reproducing an autonomous driving vehicle in one embodiment;
图6为一个实施例中自动驾驶车辆重现方法的流程示意图;6 is a schematic flowchart of a method for reproducing an autonomous driving vehicle in one embodiment;
图7为一个实施例中异常自动驾驶数据确定步骤的流程示意图;7 is a schematic flowchart of a step of determining abnormal automatic driving data in one embodiment;
图8为一个实施例中自动驾驶车辆重现装置的结构框图;8 is a structural block diagram of an apparatus for reproducing an autonomous driving vehicle in one embodiment;
图9为一个实施例中计算机设备的内部结构图。Figure 9 is a diagram of the internal structure of a computer device in one embodiment.
具体实施方式Detailed ways
为了使本申请的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本申请进行进一步详细说明。应当理解,此处描述的具体实施例仅仅用以解释本申请,并不用于限定本申请。In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.
本申请提供的自动驾驶车辆重现方法,可以应用于如图1所示的应用环境中。其中,车载终端102通过网络与服务器104进行通信。其中,车载终端102可以但不限于是各种与车辆相关联的个人计算机、笔记本电脑、智能手机、平板电脑和便携式可穿戴设备,服务器104可以用独立的服务器或者是多个服务器组成的服务器集群来实现。The automatic driving vehicle reproduction method provided in this application can be applied to the application environment shown in FIG. 1 . The in-
具体地,车载终端102发送查询请求至服务器104,服务器104接收到查询请求,查询请求携带时间信息,获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件,根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。Specifically, the in-
在一个实施例中,如图2所示,提供了一种自动驾驶车辆重现方法,以该方法应用于图1中的服务器为例进行说明,包括以下步骤:In one embodiment, as shown in FIG. 2, a method for reproducing an autonomous driving vehicle is provided, and the method is applied to the server in FIG. 1 as an example to illustrate, including the following steps:
步骤202,接收查询请求,查询请求携带时间信息。Step 202: Receive a query request, where the query request carries time information.
其中,查询请求是用来请求查询自动驾驶车辆的自动驾驶数据的,自动驾驶数据是与自动驾驶车辆有关的数据,其中,查询请求可以携带时间信息和自动驾驶车辆标识,自动驾驶车辆标识可以为至少一个,不同的自动驾驶车辆标识对应不同的自动驾驶车辆。Among them, the query request is used to request to query the automatic driving data of the automatic driving vehicle, and the automatic driving data is the data related to the automatic driving vehicle, wherein the query request can carry the time information and the automatic driving vehicle identification, and the automatic driving vehicle identification can be At least one, different self-driving vehicle identifiers correspond to different self-driving vehicles.
具体地,可以通过相关的应用软件触发生成查询请求,或者自动触发生成查询请求,查询请求可以携带时间信息,这里的时间信息是用来查询的时间相关的信息,例如,需要查询2022年2月14日14:00自动驾驶车辆的相关驾驶数据,则2022年2月14日14:00为时间信息。Specifically, a query request can be triggered by related application software, or automatically triggered to generate a query request. The query request can carry time information, where the time information is time-related information used for query. For example, it is necessary to query the date of February 2022 The relevant driving data of the autonomous vehicle at 14:00 on the 14th, then the time information at 14:00 on February 14, 2022.
步骤204,获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件。
其中,采集自动驾驶车辆在各时间段内的候选自动驾驶事件,并进行存储,每个候选自动驾驶事件与对应的时间段都进行关联,因此,可以通过查询请求中携带的时间信息去各时间段内的候选自动驾驶时间进行查询匹配,得到与查询请求中携带的时间信息匹配的自动驾驶事件。Among them, the candidate autopilot events of the autopilot vehicle in each time period are collected and stored, and each candidate autopilot event is associated with the corresponding time period. Therefore, the time information carried in the query request can be used to find each time. The candidate autopilot time in the segment is queried and matched to obtain autopilot events that match the time information carried in the query request.
例如,时间段14:00-14:30对应的候选自动驾驶事件A,时间段15:00-15:30对应的候选自动驾驶事件B,查询请求中携带的时间信息为:14:00-14:30,则与该时间信息匹配的自动驾驶事件为候选自动驾驶事件A。For example, the candidate autopilot event A corresponding to the time period 14:00-14:30, and the candidate autopilot event B corresponding to the time period 15:00-15:30, the time information carried in the query request is: 14:00-14 : 30, the autopilot event matching the time information is the candidate autopilot event A.
步骤206,根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。
其中,在得到自动驾驶车辆对应的自动驾驶事件后,在地图上将自动驾驶事件连续动态地显示出来。也就是说,在地图上用动画的形式将自动驾驶车辆的自动驾驶情况连续动态地显示出来。可以直观地了解到自动驾驶车辆的自动驾驶情况,包括自动驾驶车辆的自动驾驶路线、自动驾驶状态等。例如,如图2A所示,图2A示出一个实施例中自动驾驶车辆的自动驾驶情况的界面示意图,图2A中以动画的形式展示自动驾驶车辆的自动驾驶情况,可以直观地了解到自动驾驶车辆的自动驾驶路线。Among them, after the automatic driving events corresponding to the automatic driving vehicles are obtained, the automatic driving events are continuously and dynamically displayed on the map. That is to say, the automatic driving situation of the self-driving vehicle is continuously and dynamically displayed in the form of animation on the map. The automatic driving situation of the self-driving vehicle can be intuitively understood, including the self-driving route and the self-driving state of the self-driving vehicle. For example, as shown in FIG. 2A , FIG. 2A shows a schematic interface diagram of the automatic driving situation of the automatic driving vehicle in one embodiment, and the automatic driving situation of the automatic driving vehicle is displayed in the form of animation in FIG. 2A , which can intuitively understand the automatic driving. The autonomous driving route of the vehicle.
上述自动驾驶车辆重现方法中,服务器接收查询请求,查询请求携带时间信息;获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件;根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。通过向服务器发送查询请求,根据查询请求查找与时间信息匹配的自动驾驶事件,在地图上以动画的行驶将自动驾驶事件展示出来,可以直观地、清楚地了解到自动驾驶车辆的自动驾驶情况,方便追溯自动驾驶车辆的自动驾驶情况。In the above automatic driving vehicle reproduction method, the server receives a query request, and the query request carries time information; obtains the automatic driving event corresponding to the automatic driving vehicle in the target time period corresponding to the time information; continuously and dynamically displays the automatic driving event on the map according to the automatic driving event. The autonomous driving situation of the driving vehicle. By sending a query request to the server, finding the autopilot events matching the time information according to the query request, and displaying the autopilot events on the map with animation driving, you can intuitively and clearly understand the autopilot situation of the autopilot vehicle. It is convenient to trace the self-driving situation of self-driving vehicles.
在一个实施例中,如图3所示,接收查询请求之前,包括:In one embodiment, as shown in Figure 3, before receiving the query request, it includes:
步骤302,采集自动驾驶车辆在各时间段内发生的候选自动驾驶事件,候选自动驾驶事件包括自动驾驶车辆的自动驾驶路线、自动驾驶车辆的派单情况以及自动驾驶车辆的驾驶状态数据。
步骤304,存储候选自动驾驶事件。
其中,可以通过向各自动驾驶车辆采集自动驾驶车辆在各时间段内发生的自动驾驶事件,作为候选自动驾驶事件,并进行存储。Among them, the automatic driving events occurring in each time period of the automatic driving vehicle can be collected from each automatic driving vehicle, as candidate automatic driving events, and stored.
其中,候选自动驾驶事件包括对应的时间段内自动驾驶车辆的自动驾驶路线、自动驾驶车辆的派单情况以及自动驾驶车辆的驾驶状态数据。其中,自动驾驶路线是自动驾驶车辆的行驶路线,派单情况是自动驾驶车辆的派发驾驶订单情况,驾驶状态数据是与自动驾驶车辆的状态相关的数据。The candidate automatic driving events include the automatic driving route of the automatic driving vehicle, the dispatching situation of the automatic driving vehicle, and the driving state data of the automatic driving vehicle in the corresponding time period. Among them, the automatic driving route is the driving route of the automatic driving vehicle, the dispatching situation is the dispatching driving order situation of the automatic driving vehicle, and the driving state data is data related to the state of the automatic driving vehicle.
具体地,可以采集在各时间段内,自动驾驶车辆的自动驾驶路线、自动驾驶车辆的派单情况和自动驾驶车辆的驾驶状态数据,组成自动驾驶车辆在各时间段内的候选自动驾驶事件,并将时间信息与对应的候选自动驾驶事件进行绑定,最终,将候选自动驾驶事件进行存储。Specifically, the automatic driving route of the self-driving vehicle, the dispatching situation of the self-driving vehicle, and the driving state data of the self-driving vehicle in each time period can be collected to form the candidate self-driving events of the self-driving vehicle in each time period, The time information is bound to the corresponding candidate autopilot events, and finally, the candidate autopilot events are stored.
在一个实施例中,获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件,包括:根据时间信息从各时间段内发生的候选自动驾驶事件中筛选出目标时间段内的自动驾驶事件。In one embodiment, acquiring the automatic driving events corresponding to the automatic driving vehicle within the target time period corresponding to the time information includes: filtering out the automatic driving events within the target time period from candidate automatic driving events occurring in each time period according to the time information. driving incident.
具体地,通过查询请求中携带的时间信息与候选自动驾驶事件关联的时间信息进行比较,将相同时间对应的候选自动驾驶事件确定为自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件。也就是说,自动驾驶车辆可以通过查询请求中携带的时间信息从各时间段内发生的候选自动驾驶事件中筛选出目标时间段内的自动驾驶事件。Specifically, by comparing the time information carried in the query request with the time information associated with the candidate automatic driving events, the candidate automatic driving events corresponding to the same time are determined as the automatic driving corresponding to the automatic driving vehicle within the target time period corresponding to the time information. event. That is, the self-driving vehicle can filter out the self-driving events in the target time period from the candidate self-driving events occurring in each time period by using the time information carried in the query request.
在一个实施例中,如图4所示,根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况,包括:In one embodiment, as shown in FIG. 4 , the automatic driving situation of the automatic driving vehicle is continuously and dynamically displayed on the map according to the automatic driving event, including:
步骤402,获取自动驾驶事件对应的自动驾驶路线、派单情况和驾驶状态数据。Step 402: Acquire the automatic driving route, order dispatch situation and driving state data corresponding to the automatic driving event.
步骤404,在地图上连续动态显示自动驾驶车辆的自动驾驶路线、派单情况和驾驶状态数据。
具体地,获取自动驾驶事件包括的自动驾驶路线、派单情况和驾驶状态数据,并在地图上连续地动态地显示出来。即在地图上以动画的形式将自动驾驶车辆的自动驾驶路线、派单情况和驾驶状态数据进行显示。例如,如图4A所示,图4A示出一个实施例中自动驾驶车辆在地图上的显示示意图,图4A中示出自动驾驶车辆的自动驾驶路线、派单情况和驾驶状态数据,派单情况可以通过文字形式在地图上显示,驾驶状态数据可以通过自动驾驶车辆的颜色进行区分,例如,自动驾驶车辆从默认色改成灰色,则可以认为驾驶状态数据为异常。Specifically, the automatic driving route, dispatching situation and driving state data included in the automatic driving event are acquired, and continuously and dynamically displayed on the map. That is, the automatic driving route, dispatching situation and driving status data of the automatic driving vehicle are displayed in the form of animation on the map. For example, as shown in FIG. 4A , FIG. 4A shows a schematic diagram of the display of an autonomous vehicle on a map in one embodiment, and FIG. 4A shows the autonomous driving route, dispatching situation and driving status data of the automated driving vehicle, and the dispatching situation It can be displayed on the map in the form of text, and the driving status data can be distinguished by the color of the autonomous vehicle. For example, if the autonomous vehicle is changed from the default color to gray, the driving status data can be considered abnormal.
在一个实施例中,如图5所示,获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件之后,还包括:In one embodiment, as shown in FIG. 5 , after acquiring the automatic driving event corresponding to the automatic driving vehicle within the target time period corresponding to the time information, the method further includes:
步骤502,获取自动驾驶事件对应的自动驾驶路线。Step 502: Obtain an automatic driving route corresponding to the automatic driving event.
步骤504,根据自动驾驶路线确定自动驾驶起始位置和自动驾驶终止位置。Step 504: Determine the starting position of the automatic driving and the ending position of the automatic driving according to the automatic driving route.
步骤506,在地图上呈现自动驾驶车辆从自动驾驶起始位置行驶至自动驾驶终止位置的动画。
其中,在获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件后,获取自动驾驶事件中包括的自动驾驶路线,通过对自动驾驶路线的起始位置和终点位置分析,确定自动驾驶车辆对应的自动驾驶起始位置和自动驾驶终止位置。进一步地,在地图上以动画形式呈现自动驾驶车辆从自动驾驶起始位置行驶至自动驾驶终止位置,可以直观地了解自动驾驶车辆的自动驾驶路线,清楚地了解自动驾驶车辆在时间信息对应的目标时间段内的自动驾驶路线,也可以将自动驾驶车辆在目标时间段内的自动驾驶路线情况重现在地图上。Among them, after acquiring the autopilot event corresponding to the autopilot vehicle within the target time period corresponding to the time information, acquire the autopilot route included in the autopilot event, and determine the autopilot route by analyzing the start position and end position of the autopilot route. The autopilot start position and autopilot termination position corresponding to the driving vehicle. Further, the automatic driving of the automatic driving vehicle from the starting position of the automatic driving to the ending position of the automatic driving can be displayed in the form of animation on the map, so that the automatic driving route of the automatic driving vehicle can be intuitively understood, and the target corresponding to the time information of the automatic driving vehicle can be clearly understood. The self-driving route in the time period can also reproduce the self-driving route of the self-driving vehicle in the target time period on the map.
在一个实施例中,如图6所示,根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况之后,包括:In one embodiment, as shown in FIG. 6 , after continuously and dynamically displaying the automatic driving situation of the automatic driving vehicle on the map according to the automatic driving event, it includes:
步骤602,从自动驾驶情况中确定异常自动驾驶数据。
步骤604,将异常自动驾驶数据推送至异常分析设备,以使异常分析设备对异常自动驾驶数据进行异常分析,得到异常自动驾驶分析结果。
其中,异常自动驾驶数据是出现异常情况的自动驾驶数据,异常情况可以是根据实际业务需求、实际产品需求或实际应用场景进行确定得到,异常情况例如可以是自动驾驶路线出现偏航,偏离自动驾驶车辆的正常行驶路线,或者还可以是自动驾驶车辆的驾驶状态出现问题,或者还可以是自动驾驶车辆的派单情况出现异常等,具体可以根据实际业务需求、实际产品需求或实际应用场景进行确定。Among them, the abnormal automatic driving data is the automatic driving data of abnormal situation. The abnormal situation can be determined according to actual business needs, actual product requirements or actual application scenarios. The normal driving route of the vehicle, or there may be a problem with the driving state of the self-driving vehicle, or the dispatching of the self-driving vehicle is abnormal, etc., which can be determined according to actual business needs, actual product requirements, or actual application scenarios. .
进一步地,从自动驾驶情况中确定异常自动驾驶数据后,将异常自动驾驶数据推送至异常分析设备,异常分析设备接收到异常自动驾驶数据后,对异常自动驾驶数据进行异常分析,得到异常自动驾驶分析结果,可以通过异常自动驾驶分析结果得知自动驾驶车辆出现异常的具体原因,根据具体原因进行维护等操作。Further, after the abnormal automatic driving data is determined from the automatic driving situation, the abnormal automatic driving data is pushed to the abnormal automatic driving data. After the abnormal automatic driving data is received, the abnormal automatic driving data is analyzed by the abnormal automatic driving data, and the abnormal automatic driving data is obtained. From the analysis results, the specific reasons for the abnormality of the autonomous vehicle can be known through the abnormal automatic driving analysis results, and maintenance and other operations can be performed according to the specific reasons.
在一个实施例中,如图7所示,从自动驾驶情况中确定异常自动驾驶数据,包括:In one embodiment, as shown in FIG. 7 , determining abnormal autopilot data from autopilot situations includes:
步骤702,获取自动驾驶情况对应的自动驾驶数据集。Step 702: Obtain an automatic driving data set corresponding to the automatic driving situation.
步骤704,获取自动驾驶数据集中各自动驾驶数据对应的驾驶数据特征。Step 704: Acquire driving data features corresponding to each automatic driving data in the automatic driving data set.
步骤706,根据驾驶数据特征从自动驾驶数据集中筛选出异常自动驾驶数据。
其中,由于可以通过自动驾驶数据来反映自动驾驶情况,因此,每个自动驾驶情况都包括对应的自动驾驶数据集。具体地,获取自动驾驶情况对应的自动驾驶数据集,自动驾驶数据集包括至少一个自动驾驶数据,对自动驾驶数据进行特征提取,得到各自动驾驶数据对应的驾驶数据特征,通过对驾驶数据特征进行分析,确定自动驾驶数据集中的异常自动驾驶数据。其中,通过对驾驶数据特征进行分析,可以是获取各自动驾驶数据对应的标准驾驶数据特征,将提取的驾驶数据特征与标准驾驶数据特征进行比较,将不同的驾驶数据特征确定为异常驾驶数据特征,其对应的自动驾驶数据为异常驾驶数据。Among them, since the automatic driving situation can be reflected by the automatic driving data, each automatic driving situation includes a corresponding automatic driving data set. Specifically, an automatic driving data set corresponding to the automatic driving situation is obtained, and the automatic driving data set includes at least one piece of automatic driving data, and feature extraction is performed on the automatic driving data to obtain driving data features corresponding to each automatic driving data. Analysis to identify abnormal autonomous driving data in the autonomous driving data set. Among them, by analyzing the driving data features, it is possible to obtain standard driving data features corresponding to each automatic driving data, compare the extracted driving data features with the standard driving data features, and determine different driving data features as abnormal driving data features. , and the corresponding automatic driving data is abnormal driving data.
也就是说,通过自动驾驶数据对应的驾驶数据特征确定异常自动驾驶数据,将异常自动驾驶数据筛选出来,推送至异常分析设备进行分析,能够准确地了解出异常自动驾驶数据出现的具体原因,以及修订该异常自动驾驶数据,保证自动驾驶车辆的驾驶的安全性。That is to say, the abnormal automatic driving data is determined by the driving data characteristics corresponding to the automatic driving data, the abnormal automatic driving data is filtered out, and the abnormal automatic driving data is pushed to the abnormal analysis equipment for analysis, so as to accurately understand the specific reasons for the abnormal automatic driving data, and The abnormal automatic driving data is revised to ensure the driving safety of the automatic driving vehicle.
应该理解的是,虽然上述流程图中的各个步骤按照箭头的指示依次显示,但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明,这些步骤的执行并没有严格的顺序限制,这些步骤可以以其它的顺序执行。而且,上述流程图中的至少一部分步骤可以包括多个子步骤或者多个阶段,这些子步骤或者阶段并不必然是在同一时刻执行完成,而是可以在不同的时刻执行,这些子步骤或者阶段的执行顺序也不必然是依次进行,而是可以与其它步骤或者其它步骤的子步骤或者阶段的至少一部分轮流或者交替地执行。It should be understood that although the steps in the above flow charts are displayed in sequence according to the arrows, these steps are not necessarily executed in the sequence indicated by the arrows. Unless explicitly stated herein, the execution of these steps is not strictly limited to the order, and the steps may be executed in other orders. Moreover, at least a part of the steps in the above flow chart may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but may be executed at different times. The order of execution is also not necessarily sequential, but may be performed alternately or alternately with other steps or sub-steps of other steps or at least a portion of a phase.
在一个实施例中,如图8所示,提供了一种自动驾驶车辆重现装置800,包括:接收模块802、获取模块804和显示模块806,其中:In one embodiment, as shown in FIG. 8, an automatic driving vehicle reproduction apparatus 800 is provided, including: a receiving
接收模块802,用于接收查询请求,查询请求携带时间信息。The receiving
获取模块804,用于获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件。The obtaining
显示模块806,用于根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。The
在一个实施例中,自动驾驶车辆重现装置800采集自动驾驶车辆在各时间段内发生的候选自动驾驶事件,候选自动驾驶事件包括自动驾驶车辆的自动驾驶路线、自动驾驶车辆的派单情况以及自动驾驶车辆的驾驶状态数据,存储候选自动驾驶事件。In one embodiment, the automatic driving vehicle reproducing apparatus 800 collects candidate automatic driving events that occur in the automatic driving vehicle in various time periods, and the candidate automatic driving events include the automatic driving route of the automatic driving vehicle, the dispatching situation of the automatic driving vehicle, and Driving state data of autonomous vehicles, storing candidate autonomous driving events.
在一个实施例中,获取模块804根据时间信息从各时间段内发生的候选自动驾驶事件中筛选出目标时间段内的自动驾驶事件。In one embodiment, the obtaining
在一个实施例中,显示模块806获取自动驾驶事件对应的自动驾驶路线、派单情况和驾驶状态数据,在地图上连续动态显示自动驾驶车辆的自动驾驶路线、派单情况和驾驶状态数据。In one embodiment, the
在一个实施例中,自动驾驶车辆重现装置800获取自动驾驶事件对应的自动驾驶路线,根据自动驾驶路线确定自动驾驶起始位置和自动驾驶终止位置,在地图上呈现自动驾驶车辆从自动驾驶起始位置行驶至自动驾驶终止位置的动画。In one embodiment, the automatic driving vehicle reproduction apparatus 800 obtains the automatic driving route corresponding to the automatic driving event, determines the automatic driving starting position and the automatic driving ending position according to the automatic driving route, and presents the automatic driving vehicle on the map from the automatic driving. An animation of driving from the start position to the autopilot end position.
在一个实施例中,自动驾驶车辆重现装置800从自动驾驶情况中确定异常自动驾驶数据,将异常自动驾驶数据推送至异常分析设备,以使异常分析设备对异常自动驾驶数据进行异常分析,得到异常自动驾驶分析结果。In one embodiment, the automatic driving vehicle reproduction apparatus 800 determines abnormal automatic driving data from the automatic driving situation, and pushes the abnormal automatic driving data to the abnormality analysis device, so that the abnormality analysis device performs abnormality analysis on the abnormal automatic driving data, and obtains Abnormal autonomous driving analysis results.
在一个实施例中,自动驾驶车辆重现装置800获取自动驾驶情况对应的自动驾驶数据集,获取自动驾驶数据集中各自动驾驶数据对应的驾驶数据特征,根据驾驶数据特征从自动驾驶数据集中筛选出异常自动驾驶数据。关于自动驾驶车辆重现装置的具体限定可以参见上文中对于自动驾驶车辆重现方法的限定,在此不再赘述。上述自动驾驶车辆重现装置中的各个模块可全部或部分通过软件、硬件及其组合来实现。上述各模块可以硬件形式内嵌于或独立于计算机设备中的处理器中,也可以以软件形式存储于计算机设备中的存储器中,以便于处理器调用执行以上各个模块对应的操作。In one embodiment, the automatic driving vehicle reproduction apparatus 800 obtains the automatic driving data set corresponding to the automatic driving situation, obtains the driving data feature corresponding to each automatic driving data in the automatic driving data set, and filters out the automatic driving data set according to the driving data feature. Abnormal autonomous driving data. For the specific limitation of the reproducing apparatus for the automatic driving vehicle, reference may be made to the limitation on the method for reproducing the automatic driving vehicle above, which will not be repeated here. Each module in the above-mentioned automatic driving vehicle reproduction device can be implemented in whole or in part by software, hardware and combinations thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.
在一个实施例中,提供了一种计算机设备,该计算机设备可以是服务器,其内部结构图可以如图9所示。该计算机设备包括通过系统总线连接的处理器、存储器、网络接口和数据库。其中,该计算机设备的处理器用于提供计算和控制能力。该计算机设备的存储器包括非易失性存储介质、内存储器。该非易失性存储介质存储有操作系统、计算机程序和数据库。该内存储器为非易失性存储介质中的操作系统和计算机程序的运行提供环境。该计算机设备的数据库用于存储自动驾驶事件。该计算机设备的网络接口用于与外部的终端通过网络连接通信。该计算机程序被处理器执行时以实现一种自动驾驶车辆重现方法。In one embodiment, a computer device is provided, and the computer device may be a server, and its internal structure diagram may be as shown in FIG. 9 . The computer device includes a processor, memory, a network interface, and a database connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium, an internal memory. The nonvolatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the execution of the operating system and computer programs in the non-volatile storage medium. The computer device's database is used to store autonomous driving events. The network interface of the computer device is used to communicate with an external terminal through a network connection. The computer program, when executed by a processor, implements a method of reproducing an autonomous vehicle.
本领域技术人员可以理解,图9中示出的结构,仅仅是与本申请方案相关的部分结构的框图,并不构成对本申请方案所应用于其上的计算机设备的限定,具体的计算机设备可以包括比图中所示更多或更少的部件,或者组合某些部件,或者具有不同的部件布置。Those skilled in the art can understand that the structure shown in FIG. 9 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.
在一个实施例中,提供了一种计算机设备,包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序,处理器执行计算机程序时实现以下步骤:接收查询请求,查询请求携带时间信息,获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件,根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the following steps are implemented: receiving a query request, querying the request Carrying time information, obtain the autopilot event corresponding to the autopilot vehicle in the target time period corresponding to the time information, and continuously and dynamically display the autopilot situation of the autopilot vehicle on the map according to the autopilot event.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:采集自动驾驶车辆在各时间段内发生的候选自动驾驶事件,候选自动驾驶事件包括自动驾驶车辆的自动驾驶路线、自动驾驶车辆的派单情况以及自动驾驶车辆的驾驶状态数据,存储候选自动驾驶事件。In one embodiment, when the processor executes the computer program, it further implements the following steps: collecting candidate automatic driving events that occur in the automatic driving vehicle in each time period, where the candidate automatic driving events include the automatic driving route of the automatic driving vehicle, the automatic driving Dispatching orders and driving status data of autonomous vehicles, storing candidate autonomous driving events.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:根据时间信息从各时间段内发生的候选自动驾驶事件中筛选出目标时间段内的自动驾驶事件。In one embodiment, when the processor executes the computer program, the processor further implements the following steps: filtering out the automatic driving events in the target time period from candidate automatic driving events occurring in each time period according to the time information.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:获取自动驾驶事件对应的自动驾驶路线、派单情况和驾驶状态数据,在地图上连续动态显示自动驾驶车辆的自动驾驶路线、派单情况和驾驶状态数据。In one embodiment, when the processor executes the computer program, it further implements the following steps: acquiring the automatic driving route, dispatching situation and driving state data corresponding to the automatic driving event, and continuously and dynamically displaying the automatic driving route, dispatching and driving state data of the automatic driving vehicle on the map. Single situation and driving state data.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:获取自动驾驶事件对应的自动驾驶路线,根据自动驾驶路线确定自动驾驶起始位置和自动驾驶终止位置,在地图上呈现自动驾驶车辆从自动驾驶起始位置行驶至自动驾驶终止位置的动画。In one embodiment, the processor further implements the following steps when executing the computer program: acquiring an automatic driving route corresponding to the automatic driving event, determining the automatic driving start position and the automatic driving end position according to the automatic driving route, and presenting the automatic driving vehicle on the map Animation of driving from the autopilot start position to the autopilot end position.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:从自动驾驶情况中确定异常自动驾驶数据,将异常自动驾驶数据推送至异常分析设备,以使异常分析设备对异常自动驾驶数据进行异常分析,得到异常自动驾驶分析结果。In one embodiment, the processor further implements the following steps when executing the computer program: determining abnormal automatic driving data from the automatic driving situation, and pushing the abnormal automatic driving data to the abnormal automatic driving data, so that the abnormal automatic driving data can be analyzed by the abnormal automatic driving data. Abnormal analysis, get abnormal automatic driving analysis results.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:获取自动驾驶情况对应的自动驾驶数据集,获取自动驾驶数据集中各自动驾驶数据对应的驾驶数据特征,根据驾驶数据特征从自动驾驶数据集中筛选出异常自动驾驶数据。In one embodiment, the processor further implements the following steps when executing the computer program: obtaining an automatic driving data set corresponding to the automatic driving situation, obtaining driving data features corresponding to each automatic driving data in the automatic driving data set, Abnormal autonomous driving data is filtered out of the dataset.
在一个实施例中,提供了一种计算机可读存储介质,其上存储有计算机程序,计算机程序被处理器执行时实现以下步骤:接收查询请求,查询请求携带时间信息,获取自动驾驶车辆在时间信息对应的目标时间段内对应的自动驾驶事件,根据自动驾驶事件在地图上连续动态显示自动驾驶车辆的自动驾驶情况。In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: receiving a query request, carrying time information in the query request, and obtaining the time information of the autonomous vehicle. The automatic driving events corresponding to the target time period corresponding to the information, and the automatic driving situation of the automatic driving vehicle is continuously and dynamically displayed on the map according to the automatic driving events.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:采集自动驾驶车辆在各时间段内发生的候选自动驾驶事件,候选自动驾驶事件包括自动驾驶车辆的自动驾驶路线、自动驾驶车辆的派单情况以及自动驾驶车辆的驾驶状态数据,存储候选自动驾驶事件。In one embodiment, when the processor executes the computer program, it further implements the following steps: collecting candidate automatic driving events that occur in the automatic driving vehicle in each time period, where the candidate automatic driving events include the automatic driving route of the automatic driving vehicle, the automatic driving Dispatching orders and driving status data of autonomous vehicles, storing candidate autonomous driving events.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:根据时间信息从各时间段内发生的候选自动驾驶事件中筛选出目标时间段内的自动驾驶事件。In one embodiment, when the processor executes the computer program, the processor further implements the following steps: filtering out the automatic driving events in the target time period from candidate automatic driving events occurring in each time period according to the time information.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:获取自动驾驶事件对应的自动驾驶路线、派单情况和驾驶状态数据,在地图上连续动态显示自动驾驶车辆的自动驾驶路线、派单情况和驾驶状态数据。In one embodiment, when the processor executes the computer program, it further implements the following steps: acquiring the automatic driving route, dispatching situation and driving state data corresponding to the automatic driving event, and continuously and dynamically displaying the automatic driving route, dispatching and driving state data of the automatic driving vehicle on the map. Single situation and driving state data.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:获取自动驾驶事件对应的自动驾驶路线,根据自动驾驶路线确定自动驾驶起始位置和自动驾驶终止位置,在地图上呈现自动驾驶车辆从自动驾驶起始位置行驶至自动驾驶终止位置的动画。In one embodiment, the processor further implements the following steps when executing the computer program: acquiring an automatic driving route corresponding to the automatic driving event, determining the automatic driving start position and the automatic driving end position according to the automatic driving route, and presenting the automatic driving vehicle on the map Animation of driving from the autopilot start position to the autopilot end position.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:从自动驾驶情况中确定异常自动驾驶数据,将异常自动驾驶数据推送至异常分析设备,以使异常分析设备对异常自动驾驶数据进行异常分析,得到异常自动驾驶分析结果。In one embodiment, the processor further implements the following steps when executing the computer program: determining abnormal automatic driving data from the automatic driving situation, and pushing the abnormal automatic driving data to the abnormal automatic driving data, so that the abnormal automatic driving data can be analyzed by the abnormal automatic driving data. Abnormal analysis, get abnormal automatic driving analysis results.
在一个实施例中,处理器执行计算机程序时还实现以下步骤:获取自动驾驶情况对应的自动驾驶数据集,获取自动驾驶数据集中各自动驾驶数据对应的驾驶数据特征,根据驾驶数据特征从自动驾驶数据集中筛选出异常自动驾驶数据。In one embodiment, the processor further implements the following steps when executing the computer program: obtaining an automatic driving data set corresponding to the automatic driving situation, obtaining driving data features corresponding to each automatic driving data in the automatic driving data set, Abnormal autonomous driving data is filtered out of the dataset.
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程,是可以通过计算机程序来指令相关的硬件来完成,所述的计算机程序可存储于一非易失性计算机可读取存储介质中,该计算机程序在执行时,可包括如上述各方法的实施例的流程。其中,本申请所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用,均可包括非易失性和/或易失性存储器。非易失性存储器可包括只读存储器(ROM)、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)或闪存。易失性存储器可包括随机存取存储器(RAM)或者外部高速缓冲存储器。作为说明而非局限,RAM以多种形式可得,诸如静态RAM(SRAM)、动态RAM(DRAM)、同步DRAM(SDRAM)、双数据率SDRAM(DDRSDRAM)、增强型SDRAM(ESDRAM)、同步链路(Synchlink)DRAM(SLDRAM)、存储器总线(Rambus)直接RAM(RDRAM)、直接存储器总线动态RAM(DRDRAM)、以及存储器总线动态RAM(RDRAM)等。Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage In the medium, when the computer program is executed, it may include the processes of the above-mentioned method embodiments. Wherein, any reference to memory, storage, database or other medium used in the various embodiments provided in this application may include non-volatile and/or volatile memory. Nonvolatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Road (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
以上实施例的各技术特征可以进行任意的组合,为使描述简洁,未对上述实施例中的各个技术特征所有可能的组合都进行描述,然而,只要这些技术特征的组合不存在矛盾,都应当认为是本说明书记载的范围。The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features It is considered to be the range described in this specification.
以上所述实施例仅表达了本申请的几种实施方式,其描述较为具体和详细,但并不能因此而理解为对发明专利范围的限制。应当指出的是,对于本领域的普通技术人员来说,在不脱离本申请构思的前提下,还可以做出若干变形和改进,这些都属于本申请的保护范围。因此,本申请专利的保护范围应以所附权利要求为准。The above-mentioned embodiments only represent several embodiments of the present application, and the descriptions thereof are specific and detailed, but should not be construed as a limitation on the scope of the invention patent. It should be pointed out that for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210509153.3A CN114817370A (en) | 2022-05-10 | 2022-05-10 | Automatic driving vehicle reproduction method, device, computer equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210509153.3A CN114817370A (en) | 2022-05-10 | 2022-05-10 | Automatic driving vehicle reproduction method, device, computer equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN114817370A true CN114817370A (en) | 2022-07-29 |
Family
ID=82513679
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210509153.3A Pending CN114817370A (en) | 2022-05-10 | 2022-05-10 | Automatic driving vehicle reproduction method, device, computer equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114817370A (en) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107015988A (en) * | 2016-01-27 | 2017-08-04 | 滴滴出行科技有限公司 | A kind of information matching method based on map and user-association for applying to special train |
CN107862017A (en) * | 2017-10-30 | 2018-03-30 | 青岛慧拓智能机器有限公司 | A kind of automatic driving vehicle test and appraisal display systems |
CA3027663A1 (en) * | 2017-06-19 | 2018-12-19 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for displaying movement of vehicle on map |
CN109145065A (en) * | 2017-06-19 | 2019-01-04 | 北京嘀嘀无限科技发展有限公司 | Methods of exhibiting and device, the computer readable storage medium of vehicle driving trace |
CN115082588A (en) * | 2022-05-31 | 2022-09-20 | 北京小马易行科技有限公司 | Driving track rendering method, device and equipment and storage medium |
-
2022
- 2022-05-10 CN CN202210509153.3A patent/CN114817370A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107015988A (en) * | 2016-01-27 | 2017-08-04 | 滴滴出行科技有限公司 | A kind of information matching method based on map and user-association for applying to special train |
CA3027663A1 (en) * | 2017-06-19 | 2018-12-19 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for displaying movement of vehicle on map |
CN109145065A (en) * | 2017-06-19 | 2019-01-04 | 北京嘀嘀无限科技发展有限公司 | Methods of exhibiting and device, the computer readable storage medium of vehicle driving trace |
US20190122552A1 (en) * | 2017-06-19 | 2019-04-25 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for displaying a movement of a vehicle on a map |
CN107862017A (en) * | 2017-10-30 | 2018-03-30 | 青岛慧拓智能机器有限公司 | A kind of automatic driving vehicle test and appraisal display systems |
CN115082588A (en) * | 2022-05-31 | 2022-09-20 | 北京小马易行科技有限公司 | Driving track rendering method, device and equipment and storage medium |
Non-Patent Citations (1)
Title |
---|
沃尔特.布伦纳: "无人驾驶:未来出行革命破局之道", 31 May 2021, 机械工业出版社, pages: 53 - 54 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109672741B (en) | Micro-service monitoring method and device, computer equipment and storage medium | |
CN109446068B (en) | Interface test method, device, computer equipment and storage medium | |
CN106844217B (en) | Method and device for embedding point of applied control and readable storage medium | |
US11250951B2 (en) | Feature engineering method, apparatus, and system | |
RU2688757C1 (en) | Device and method for analyzing imported video | |
EP2801943A1 (en) | A system and method for generating a chronological timesheet | |
US20140215495A1 (en) | Task-specific application monitoring and analysis | |
CN110825820B (en) | Real-time data tag acquisition method, device, computer equipment and storage medium | |
US10902339B2 (en) | System and method providing automatic completion of task structures in a project plan | |
CN111475401A (en) | Test method and related equipment | |
CN113688288A (en) | Data association analysis method and device, computer equipment and storage medium | |
US20200319947A1 (en) | Api and streaming solution for documenting data lineage | |
CN114579446A (en) | Data processing method and device, computer equipment and computer readable storage medium | |
CA3157818A1 (en) | Method, apparatus, computer device, and storage medium for fusing multi-system multi-store orders | |
EP3809281A1 (en) | Systems and methods for generating, analyzing, and storing data snippets | |
CN110275703B (en) | Method and device for assigning key value to data, computer equipment and storage medium | |
CN110310127B (en) | Recording acquisition method, recording acquisition device, computer equipment and storage medium | |
CN113837584B (en) | Service processing system and abnormal data processing method based on service processing system | |
CN114817370A (en) | Automatic driving vehicle reproduction method, device, computer equipment and storage medium | |
EP3809280A1 (en) | Systems and methods for generating, analyzing, and storing data snippets | |
CN115454781B (en) | Data visualization display method and system based on enterprise architecture system | |
US12182153B2 (en) | Digital forensics tool and method | |
CN117194165A (en) | Server performance monitoring method, device, computer equipment and storage medium | |
CN117194382A (en) | Middle-stage data processing method and device, electronic equipment and storage medium | |
CN115795185B (en) | Risk trip screening method, risk trip screening device, computer equipment and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220729 |