CN114817370A - Autonomous vehicle reproduction method, apparatus, computer device, and storage medium - Google Patents
Autonomous vehicle reproduction method, apparatus, computer device, 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
- driving
- autonomous
- vehicle
- event
- 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
- 238000000034 method Methods 0.000 title claims abstract description 50
- 230000002159 abnormal effect Effects 0.000 claims description 73
- 238000004590 computer program Methods 0.000 claims description 25
- 238000012216 screening Methods 0.000 claims description 10
- 238000010586 diagram Methods 0.000 description 12
- 230000005856 abnormality Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
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)
- Human Resources & Organizations (AREA)
- Software Systems (AREA)
- Remote Sensing (AREA)
- Mathematical Physics (AREA)
- Health & Medical Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Fuzzy Systems (AREA)
- Economics (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Traffic Control Systems (AREA)
Abstract
The present application relates to an autonomous vehicle reproduction method, apparatus, computer device and storage medium. The method comprises the following steps: receiving an inquiry request, wherein the inquiry request carries time information; acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information; the autonomous driving condition of the autonomous vehicle is continuously and dynamically displayed on the map according to the autonomous driving event. By adopting the method, the automatic driving event of the automatic driving vehicle can be visually presented.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for automatically reproducing a driving vehicle, a computer device, and a storage medium.
Background
With the development of computer technology, an automatic driving technology appears, which belongs to unmanned driving, and automatic driving vehicles do not have human active operation but operate through a computer system. However, in this way, the automatic driving situation of the automatic driving vehicle cannot be known intuitively, and at present, the automatic driving situation of the automatic driving vehicle needs to be analyzed by the technical staff by uploading the automatic driving event to the server.
Disclosure of Invention
In view of the above, it is desirable to provide an autonomous vehicle reproduction method, apparatus, computer device, and storage medium that can intuitively present an autonomous driving event of an autonomous vehicle in view of the above technical problems.
An autonomous vehicle reproduction method, the method comprising:
receiving an inquiry request, wherein the inquiry request carries time information;
acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information;
the autonomous driving condition of the autonomous vehicle is continuously and dynamically displayed on the map according to the autonomous driving event.
In one embodiment, before receiving the query request, the method includes: the method comprises the steps of collecting candidate automatic driving events of the automatic driving vehicle in each time period, wherein the candidate automatic driving events comprise automatic driving routes of the automatic driving vehicle, order dispatching conditions of the automatic driving vehicle and driving state data of the automatic driving vehicle, and storing the candidate automatic driving events.
In one embodiment, acquiring the corresponding automatic driving event of the automatic driving vehicle in the target time period corresponding to the time information comprises: and screening out the automatic driving events in the target time period from the candidate automatic driving events occurring in each time period according to the time information.
In one embodiment, continuously and dynamically displaying the autonomous driving conditions of the autonomous vehicle on the map based on the autonomous driving event includes: and acquiring an automatic driving route, a dispatching condition and driving state data corresponding to the automatic driving event, and continuously and dynamically displaying the automatic driving route, the dispatching condition and the driving state data of the automatic driving vehicle on the map.
In one embodiment, after acquiring the corresponding automatic driving event of the automatic driving vehicle in the target time period corresponding to the time information, the method further includes: the method comprises the steps of obtaining an automatic driving route corresponding to an automatic driving event, determining an automatic driving starting position and an automatic driving ending position according to the automatic driving route, and presenting animation of the automatic driving vehicle running from the automatic driving starting position to the automatic driving ending position on a map.
In one embodiment, after continuously and dynamically displaying the autonomous driving conditions of the autonomous vehicle on the map based on the autonomous driving event, the method comprises: and determining abnormal automatic driving data from the automatic driving condition, and pushing the abnormal automatic driving data to the abnormal analysis equipment so that the abnormal analysis equipment performs abnormal analysis on the abnormal automatic driving data to obtain an abnormal automatic driving analysis result.
In one embodiment, determining abnormal autonomous driving data from an autonomous driving situation comprises: the method comprises the steps of obtaining an automatic driving data set corresponding to automatic driving conditions, obtaining driving data characteristics corresponding to all automatic driving data in the automatic driving data set, and screening abnormal automatic driving data from the automatic driving data set according to the driving data characteristics.
An autonomous vehicle reproduction apparatus, comprising:
the receiving module is used for receiving a query request, and the query request carries time information;
the acquisition module is used for acquiring the corresponding automatic driving event of the automatic driving vehicle in the target time period corresponding to the time information;
and the display module is used for continuously and dynamically displaying the automatic driving condition of the automatic driving vehicle on the map according to the automatic driving event.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
receiving a query request, wherein the query request carries time information;
acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information;
the autonomous driving condition of the autonomous vehicle is continuously and dynamically displayed on the map according to the autonomous driving event.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
receiving an inquiry request, wherein the inquiry request carries time information;
acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information;
the autonomous driving condition of the autonomous vehicle is continuously and dynamically displayed on the map according to the autonomous driving event.
According to the automatic driving vehicle reproduction method, the automatic driving vehicle reproduction device, the computer equipment and the storage medium, the server receives the query request, and the query request carries the time information; acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information; the autonomous driving condition of the autonomous vehicle is continuously and dynamically displayed on the map according to the autonomous driving event. By sending the query request to the server, searching the automatic driving event matched with the time information according to the query request and displaying the automatic driving event by the running of the animation on the map, the automatic driving condition of the automatic driving vehicle can be intuitively and clearly known, and the automatic driving condition of the automatic driving vehicle can be conveniently traced.
Drawings
FIG. 1 is a diagram of an exemplary environment in which an autonomous vehicle may be used in an exemplary method of reproducing an autonomous vehicle;
FIG. 2 is a schematic flow chart diagram illustrating an exemplary method for automatically reproducing a vehicle;
FIG. 2A is a schematic interface diagram illustrating an autonomous driving profile of an autonomous vehicle in one embodiment;
FIG. 3 is a schematic flow chart diagram illustrating an exemplary method for automatically reproducing a vehicle;
FIG. 4 is a flowchart illustrating steps of displaying an automatic driving situation in one embodiment;
FIG. 4A is a schematic diagram illustrating the display of an autonomous vehicle on a map in one embodiment;
FIG. 5 is a flow diagram illustrating a method for automatically reproducing a driven vehicle in accordance with one embodiment;
FIG. 6 is a schematic flow chart diagram illustrating an exemplary method for automatically reproducing a vehicle;
FIG. 7 is a flowchart illustrating the abnormal automatic driving data determination step in one embodiment;
FIG. 8 is a block diagram showing the construction of a reproduction apparatus for an autonomous vehicle in one embodiment;
FIG. 9 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for reproducing the automatically-driven vehicle can be applied to the application environment shown in fig. 1. In which the in-vehicle terminal 102 communicates with the server 104 through a network. The vehicle-mounted terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices associated with a vehicle, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
Specifically, the vehicle-mounted terminal 102 sends an inquiry request to the server 104, the server 104 receives the inquiry request, the inquiry request carries time information, an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information is obtained, and the automatic driving condition of the automatic driving vehicle is continuously and dynamically displayed on a map according to the automatic driving event.
In one embodiment, as shown in fig. 2, an autonomous vehicle reproduction method is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:
The query request is used for requesting to query automatic driving data of the automatic driving vehicle, the automatic driving data are data related to the automatic driving vehicle, the query request can carry time information and automatic driving vehicle identifications, the automatic driving vehicle identifications can be at least one, and different automatic driving vehicle identifications correspond to different automatic driving vehicles.
Specifically, the query request may be generated by triggering of relevant application software, or may be generated automatically, and the query request may carry time information, where the time information is time-related information used for querying, for example, query is required to be performed on 2022, month 2, day 14: 00 relevant driving data of the autonomous vehicle, 14 days 2 month 14 2022: 00 is time information.
And step 204, acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information.
The candidate automatic driving events of the automatic driving vehicle in each time period are collected and stored, and each candidate automatic driving event is associated with the corresponding time period, so that the candidate automatic driving time in each time period can be inquired and matched through the time information carried in the inquiry request, and the automatic driving event matched with the time information carried in the inquiry request is obtained.
For example, time period 14: 00-14: 30, time period 15: 00-15: 30, the time information carried in the query request is: 14: 00-14: and 30, the automatic driving event matched with the time information is a candidate automatic driving event A.
And step 206, continuously and dynamically displaying the automatic driving condition of the automatic driving vehicle on the map according to the automatic driving event.
After the automatic driving event corresponding to the automatic driving vehicle is obtained, the automatic driving event is continuously and dynamically displayed on the map. That is, the autonomous driving situation of the autonomous vehicle is continuously and dynamically displayed in the form of animation on the map. The automatic driving situation of the automatic driving vehicle, including the automatic driving route, the automatic driving state, and the like of the automatic driving vehicle, can be intuitively understood. For example, as shown in fig. 2A, fig. 2A shows an interface schematic diagram of an automatic driving situation of an automatic driving vehicle in one embodiment, and the automatic driving situation of the automatic driving vehicle is shown in an animation form in fig. 2A, so that an automatic driving route of the automatic driving vehicle can be intuitively understood.
In the automatic driving vehicle reproduction method, the server receives an inquiry request, and the inquiry request carries time information; acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information; the autonomous driving condition of the autonomous vehicle is continuously and dynamically displayed on the map according to the autonomous driving event. By sending the query request to the server, searching the automatic driving event matched with the time information according to the query request and displaying the automatic driving event by the running of the animation on the map, the automatic driving condition of the automatic driving vehicle can be intuitively and clearly known, and the automatic driving condition of the automatic driving vehicle can be conveniently traced.
In one embodiment, as shown in FIG. 3, before receiving the query request, the method includes:
At step 304, candidate autodrive events are stored.
The automatic driving events of the automatic driving vehicles in each time period can be collected from the respective automatic driving vehicles to serve as candidate automatic driving events and stored.
The candidate automatic driving events comprise automatic driving routes of the automatic driving vehicles in corresponding time periods, dispatching conditions of the automatic driving vehicles and driving state data of the automatic driving vehicles. Wherein the autonomous driving route is a driving route of the autonomous vehicle, the order dispatch condition is a driving order dispatch condition of the autonomous vehicle, and the driving state data is data related to a state of the autonomous vehicle.
Specifically, the automatic driving route of the automatic driving vehicle, the order dispatching condition of the automatic driving vehicle and the driving state data of the automatic driving vehicle in each time period can be collected to form candidate automatic driving events of the automatic driving vehicle in each time period, the time information is bound with the corresponding candidate automatic driving events, and finally the candidate automatic driving events are stored.
In one embodiment, acquiring the corresponding automatic driving event of the automatic driving vehicle in the target time period corresponding to the time information comprises: and screening out the automatic driving events in the target time period from the candidate automatic driving events occurring in each time period according to the time information.
Specifically, the time information carried in the query request is compared with the time information associated with the candidate automatic driving events, and the candidate automatic driving events corresponding to the same time are determined as the automatic driving events corresponding to the automatic driving vehicle in the target time period corresponding to the time information. That is, the autonomous vehicle may screen the candidate autonomous events occurring within each time period for autonomous events within the target time period by querying the time information carried in the request.
In one embodiment, as shown in FIG. 4, continuously and dynamically displaying the autonomous driving conditions of the autonomous vehicle on the map according to the autonomous driving event includes:
Specifically, the automatic driving route, the order delivery condition and the driving state data included in the automatic driving event are acquired and continuously and dynamically displayed on the map. That is, the autonomous driving route, the dispatch condition, and the driving state data of the autonomous vehicle are displayed in the form of animation on the map. For example, as shown in fig. 4A, fig. 4A shows a schematic view of a map displayed by an autonomous vehicle in one embodiment, fig. 4A shows an autonomous driving route, a menu case and driving state data of the autonomous vehicle, the menu case can be displayed on the map in a text form, and the driving state data can be distinguished by a color of the autonomous vehicle, for example, if the autonomous vehicle changes from a default color to a gray color, the driving state data can be considered as abnormal.
In one embodiment, as shown in fig. 5, after acquiring the corresponding autonomous driving event of the autonomous vehicle within the target time period corresponding to the time information, the method further includes:
In step 504, an autopilot starting location and an autopilot ending location are determined based on the autopilot route.
At step 506, an animation of the autonomous vehicle traveling from the autonomous driving start location to the autonomous driving end location is presented on the map.
After the corresponding automatic driving event of the automatic driving vehicle in the target time period corresponding to the time information is obtained, the automatic driving route included in the automatic driving event is obtained, and the automatic driving starting position and the automatic driving ending position corresponding to the automatic driving vehicle are determined through analyzing the starting position and the ending position of the automatic driving route. Furthermore, the automatic driving vehicle is presented on the map in an animation form to drive from the automatic driving starting position to the automatic driving ending position, so that the automatic driving route of the automatic driving vehicle can be intuitively known, the automatic driving route of the automatic driving vehicle in the target time period corresponding to the time information can be clearly known, and the automatic driving route condition of the automatic driving vehicle in the target time period can be reproduced on the map.
In one embodiment, as shown in FIG. 6, after continuously and dynamically displaying the autonomous driving conditions of the autonomous vehicle on the map according to the autonomous driving event, the method includes:
abnormal autopilot data is determined from the autopilot event, step 602.
And step 604, pushing the abnormal automatic driving data to an abnormal analysis device so that the abnormal analysis device performs abnormal analysis on the abnormal automatic driving data to obtain an abnormal automatic driving analysis result.
The abnormal automatic driving data is the automatic driving data with abnormal conditions, the abnormal conditions can be determined according to actual business requirements, actual product requirements or actual application scenes, the abnormal conditions can be, for example, yaw occurs on an automatic driving route and deviates from a normal driving route of an automatic driving vehicle, or problems occur in the driving state of the automatic driving vehicle, or abnormity occurs in the dispatching conditions of the automatic driving vehicle, and the abnormal conditions can be specifically determined according to the actual business requirements, the actual product requirements or the actual application scenes.
Further, after determining abnormal automatic driving data from the automatic driving condition, the abnormal automatic driving data is pushed to the abnormal analysis device, the abnormal analysis device performs abnormal analysis on the abnormal automatic driving data after receiving the abnormal automatic driving data to obtain an abnormal automatic driving analysis result, specific reasons of the abnormal automatic driving of the automatic driving vehicle can be known through the abnormal automatic driving analysis result, and maintenance and other operations are performed according to the specific reasons.
In one embodiment, as shown in FIG. 7, determining abnormal autonomous driving data from an autonomous driving situation includes:
And step 706, screening abnormal automatic driving data from the automatic driving data set according to the driving data characteristics.
Wherein each of the autonomous driving situations comprises a corresponding set of autonomous driving data, as the autonomous driving situation may be reflected by the autonomous driving data. Specifically, an automatic driving data set corresponding to an automatic driving condition is obtained, the automatic driving data set comprises at least one automatic driving data, feature extraction is carried out on the automatic driving data, driving data features corresponding to the automatic driving data are obtained, and abnormal automatic driving data in the automatic driving data set are determined by analyzing the driving data features. The driving data characteristics are analyzed, so that standard driving data characteristics corresponding to each automatic driving data can be obtained, the extracted driving data characteristics are compared with the standard driving data characteristics, different driving data characteristics are determined to be abnormal driving data characteristics, and the corresponding automatic driving data are abnormal driving data.
That is to say, the abnormal automatic driving data is determined according to the driving data characteristics corresponding to the automatic driving data, the abnormal automatic driving data is screened out and is pushed to the abnormal analysis equipment for analysis, the specific reason of the abnormal automatic driving data can be accurately known, the abnormal automatic driving data is revised, and the driving safety of the automatic driving vehicle is ensured.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 8, there is provided an autonomous vehicle reproduction apparatus 800 comprising: a receiving module 802, an obtaining module 804, and a displaying module 806, wherein:
the receiving module 802 is configured to receive a query request, where the query request carries time information.
The obtaining module 804 is configured to obtain an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information.
A display module 806 for continuously and dynamically displaying the autonomous driving condition of the autonomous vehicle on the map based on the autonomous driving event.
In one embodiment, the autonomous vehicle reproduction apparatus 800 collects candidate autonomous driving events that occur within each time period of the autonomous vehicle, the candidate autonomous driving events including an autonomous driving route of the autonomous vehicle, a dispatch condition of the autonomous vehicle, and driving status data of the autonomous vehicle, stores the candidate autonomous driving events.
In one embodiment, the acquisition module 804 screens out the automated driving events within the target time period from the candidate automated driving events occurring within the respective time periods based on the time information.
In one embodiment, the display module 806 obtains the autonomous driving route, the order condition, and the driving status data corresponding to the autonomous driving event, and continuously and dynamically displays the autonomous driving route, the order condition, and the driving status data of the autonomous vehicle on the map.
In one embodiment, the autonomous vehicle reproducing apparatus 800 acquires an autonomous driving route corresponding to the autonomous driving event, determines an autonomous driving start position and an autonomous driving end position according to the autonomous driving route, and presents an animation in which the autonomous vehicle travels from the autonomous driving start position to the autonomous driving end position on the map.
In one embodiment, the autonomous vehicle reproducing apparatus 800 determines abnormal autonomous driving data from an autonomous driving situation, and pushes the abnormal autonomous driving data to the abnormality analyzing device, so that the abnormality analyzing device performs an abnormality analysis on the abnormal autonomous driving data to obtain an abnormal autonomous driving analysis result.
In one embodiment, the autonomous vehicle reproduction apparatus 800 acquires an autonomous driving data set corresponding to an autonomous driving situation, acquires a driving data characteristic corresponding to each autonomous driving data in the autonomous driving data set, and screens out abnormal autonomous driving data from the autonomous driving data set according to the driving data characteristic. For specific limitations of the autonomous vehicle reproduction apparatus, reference may be made to the above limitations of the autonomous vehicle reproduction method, which are not described in detail herein. The respective modules in the above-described autonomous vehicle reproducing apparatus may be entirely or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 9. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store the autopilot event. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an autonomous vehicle reproduction method.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: and receiving an inquiry request, wherein the inquiry request carries time information, acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information, and continuously and dynamically displaying the automatic driving condition of the automatic driving vehicle on a map according to the automatic driving event.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method comprises the steps of collecting candidate automatic driving events of the automatic driving vehicle in each time period, wherein the candidate automatic driving events comprise automatic driving routes of the automatic driving vehicle, order dispatching conditions of the automatic driving vehicle and driving state data of the automatic driving vehicle, and storing the candidate automatic driving events.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and screening out the automatic driving events in the target time period from the candidate automatic driving events occurring in each time period according to the time information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and acquiring an automatic driving route, a dispatching condition and driving state data corresponding to the automatic driving event, and continuously and dynamically displaying the automatic driving route, the dispatching condition and the driving state data of the automatic driving vehicle on the map.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method comprises the steps of obtaining an automatic driving route corresponding to an automatic driving event, determining an automatic driving starting position and an automatic driving ending position according to the automatic driving route, and presenting animation of the automatic driving vehicle running from the automatic driving starting position to the automatic driving ending position on a map.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and determining abnormal automatic driving data from the automatic driving condition, and pushing the abnormal automatic driving data to the abnormal analysis equipment so that the abnormal analysis equipment performs abnormal analysis on the abnormal automatic driving data to obtain an abnormal automatic driving analysis result.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method comprises the steps of obtaining an automatic driving data set corresponding to automatic driving conditions, obtaining driving data characteristics corresponding to all automatic driving data in the automatic driving data set, and screening abnormal automatic driving data from the automatic driving data set according to the driving data characteristics.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: and receiving an inquiry request carrying time information, acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information, and continuously and dynamically displaying the automatic driving condition of the automatic driving vehicle on a map according to the automatic driving event.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method comprises the steps of collecting candidate automatic driving events of the automatic driving vehicle in each time period, wherein the candidate automatic driving events comprise automatic driving routes of the automatic driving vehicle, order dispatching conditions of the automatic driving vehicle and driving state data of the automatic driving vehicle, and storing the candidate automatic driving events.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and screening out the automatic driving events in the target time period from the candidate automatic driving events occurring in each time period according to the time information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and acquiring an automatic driving route, a dispatching condition and driving state data corresponding to the automatic driving event, and continuously and dynamically displaying the automatic driving route, the dispatching condition and the driving state data of the automatic driving vehicle on the map.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method comprises the steps of obtaining an automatic driving route corresponding to an automatic driving event, determining an automatic driving starting position and an automatic driving ending position according to the automatic driving route, and presenting animation of the automatic driving vehicle from the automatic driving starting position to the automatic driving ending position on a map.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and determining abnormal automatic driving data from the automatic driving condition, and pushing the abnormal automatic driving data to the abnormal analysis equipment so that the abnormal analysis equipment performs abnormal analysis on the abnormal automatic driving data to obtain an abnormal automatic driving analysis result.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method comprises the steps of obtaining an automatic driving data set corresponding to automatic driving conditions, obtaining driving data characteristics corresponding to all automatic driving data in the automatic driving data set, and screening abnormal automatic driving data from the automatic driving data set according to the driving data characteristics.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An autonomous vehicle reproduction method, the method comprising:
receiving a query request, wherein the query request carries time information;
acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information;
and continuously and dynamically displaying the automatic driving condition of the automatic driving vehicle on a map according to the automatic driving event.
2. The method of claim 1, wherein prior to receiving the query request, comprising:
collecting candidate automatic driving events of the automatic driving vehicle in each time period, wherein the candidate automatic driving events comprise an automatic driving route of the automatic driving vehicle, a list sending condition of the automatic driving vehicle and driving state data of the automatic driving vehicle;
storing the candidate autodrive event.
3. The method of claim 2, wherein obtaining the corresponding autonomous driving event of the autonomous vehicle within the target time period corresponding to the time information comprises:
and screening out the automatic driving events in the target time period from the candidate automatic driving events occurring in each time period according to the time information.
4. The method of claim 3, wherein the continuously dynamically displaying the autonomous driving condition of the autonomous vehicle on the map according to the autonomous driving event comprises:
acquiring an automatic driving route, a dispatching condition and driving state data corresponding to the automatic driving event;
automatically driving routes, dispatch conditions, and driving status data of the automatically driven vehicle are continuously dynamically displayed on a map.
5. The method of claim 1, wherein the obtaining of the corresponding autonomous driving event of the autonomous vehicle within the target time period corresponding to the time information further comprises:
acquiring an automatic driving route corresponding to the automatic driving event;
determining an automatic driving starting position and an automatic driving ending position according to the automatic driving route;
presenting an animation of the autonomous vehicle traveling from the autonomous driving start location to the autonomous driving end location on the map.
6. The method of claim 1, wherein after continuously dynamically displaying the autonomous driving conditions of the autonomous vehicle on a map according to the autonomous driving event, comprising:
determining abnormal autonomous driving data from the autonomous driving conditions;
and pushing the abnormal automatic driving data to abnormal analysis equipment so that the abnormal analysis equipment performs abnormal analysis on the abnormal automatic driving data to obtain an abnormal automatic driving analysis result.
7. The method of claim 6, wherein the determining abnormal autonomous driving data from the autonomous driving condition comprises:
acquiring an automatic driving data set corresponding to the automatic driving condition;
acquiring driving data characteristics corresponding to each automatic driving data in the automatic driving data set;
and screening abnormal automatic driving data from the automatic driving data set according to the driving data characteristics.
8. An autonomous vehicle reproduction apparatus, comprising:
the receiving module is used for receiving a query request, and the query request carries time information;
the acquisition module is used for acquiring an automatic driving event corresponding to the automatic driving vehicle in a target time period corresponding to the time information;
and the display module is used for continuously and dynamically displaying the automatic driving condition of the automatic driving vehicle on a map according to the automatic driving event.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210509153.3A CN114817370A (en) | 2022-05-10 | 2022-05-10 | Autonomous vehicle reproduction method, apparatus, computer device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210509153.3A CN114817370A (en) | 2022-05-10 | 2022-05-10 | Autonomous vehicle reproduction method, apparatus, computer device, 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 | Autonomous vehicle reproduction method, apparatus, computer device, 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 |
|---|---|---|
| CN108920354B (en) | Embedded point management method and device, computer equipment and storage medium | |
| US11164091B1 (en) | Natural language troubleshooting engine | |
| CN107808306B (en) | Business object segmentation method based on tag library, electronic device and storage medium | |
| EP3547327A1 (en) | Feature engineering method, apparatus and system | |
| US11987267B2 (en) | Method and monitoring server for verifying operation of autonomous vehicle using quality control verifying application | |
| US10403171B2 (en) | System providing customized remedial training for drivers | |
| CN109828809B (en) | Information visualization method and device for billboard, computer equipment and storage medium | |
| CN111310195A (en) | Security vulnerability management method, device, system, equipment and storage medium | |
| CN110826787A (en) | Electric quantity early warning method and device, computer equipment and storage medium | |
| CN113391901A (en) | RPA robot management method, device, equipment and storage medium | |
| CN111967999A (en) | Investigation processing method, device, computer equipment and storage medium | |
| CN112612393B (en) | Interaction method and device of interface function | |
| CN117540114A (en) | Highway data query method and system based on big data mining | |
| CN114817370A (en) | Autonomous vehicle reproduction method, apparatus, computer device, and storage medium | |
| CN113824590B (en) | Method for predicting problem in micro service network, computer device, and storage medium | |
| KR20160141508A (en) | Method and System of Forecasting Resource RequirementS FOR a type of construction | |
| US20240290187A1 (en) | System and method for displaying video feed information on a user interface | |
| CN110874612B (en) | Time interval prediction method and device, computer equipment and storage medium | |
| CN112399204B (en) | Alternate type information pushing method, device, equipment and storage medium | |
| WO2014164117A1 (en) | Service tracking display grid system and method | |
| CN111242186B (en) | Method and device for determining operation line and computing equipment | |
| CN113836216A (en) | Data display method and device, storage medium and electronic equipment | |
| CN103903314A (en) | Vehicle control method and system | |
| CN111078984A (en) | Network model publishing method and device, computer equipment and storage medium | |
| WO2020010712A1 (en) | Electronic device, user insurance fraud risk pre-warning method, 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 |