CN109443794A - Evaluation method, device, computer equipment and the storage medium of automatic driving car - Google Patents
Evaluation method, device, computer equipment and the storage medium of automatic driving car Download PDFInfo
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- CN109443794A CN109443794A CN201811255263.1A CN201811255263A CN109443794A CN 109443794 A CN109443794 A CN 109443794A CN 201811255263 A CN201811255263 A CN 201811255263A CN 109443794 A CN109443794 A CN 109443794A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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Abstract
The embodiment of the invention discloses a kind of evaluation method of automatic driving car, device, computer equipment and storage mediums, wherein this method comprises: obtaining the corresponding measurement data of setting driving ability of automatic driving car；According to the measurement data, the grade of the setting driving ability is determined.The embodiment of the present invention is directed to the different driving abilities of automatic driving car, obtain the corresponding measurement data of the driving ability, the grade that the driving ability is determined according to the measurement data provides reference thus, it is possible to efficiently and accurately determine the driving ability of automatic driving car various aspects to produce and sell.
Description
Technical field
The present embodiments relate to vehicle evaluation and test technology more particularly to a kind of evaluation methods of automatic driving car, device, meter
Calculate machine equipment and storage medium.
Background technique
With the development of automotive engineering, nobody automatic Pilot is driven to by pilot steering, auxiliary, car steering is increasingly
It is intelligent.For auxiliary driving and automatic Pilot, need to consider the test and evaluation of driving ability, to ensure traffic safety.
Current driving ability is evaluated mainly for advanced driving assistance system (Advanced Driver Assistance
Systems, ADAS) it proposes, auxiliary drives and automatic Pilot is distinct, does not meet automatic Pilot for the appraisement system of ADAS
The characteristics of and requirement.At the same time, American Society of Automotive Engineers (Society of Automotive Engineers, SAE)
The classification of automatic Pilot staging hierarchy it is rough it is wide in range, lack specific quantizating index, it is high and practical to lack systematicness, operability
Assessment indicator system, it is difficult to quantitative assessment automatic driving vehicle.
Summary of the invention
The embodiment of the present invention provides evaluation method, device, computer equipment and the storage medium of a kind of automatic driving car, with
Efficiently and accurately determine the driving ability of automatic driving car various aspects.
In a first aspect, the embodiment of the invention provides a kind of evaluation methods of automatic driving car, comprising:
Obtain the corresponding measurement data of setting driving ability of automatic driving car；
According to the measurement data, the grade of the setting driving ability is determined.
Second aspect, the embodiment of the invention also provides a kind of evaluating apparatus of automatic driving car, comprising:
Data acquisition module, for obtaining the corresponding measurement data of setting driving ability of automatic driving car；
Level determination module, for determining the grade of the setting driving ability according to the measurement data.
The third aspect, the embodiment of the invention also provides a kind of computer equipment, the computer equipment includes:
One or more processors；
Memory, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes the evaluation method of the automatic driving car as described in any embodiment of that present invention.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes the evaluation method of the automatic driving car as described in any embodiment of that present invention when the program is executed by processor.
The technical solution of the embodiment of the present invention obtains the driving ability pair for the different driving abilities of automatic driving car
The measurement data answered determines the grade of the driving ability according to the measurement data, and thus, it is possible to efficiently and accurately determine that nobody drives
The driving ability of vehicle various aspects is sailed, provides reference to produce and sell.
Detailed description of the invention
Fig. 1 is the flow chart of the evaluation method for the automatic driving car that the embodiment of the present invention one provides；
Fig. 2 is the flow chart of the evaluation method of automatic driving car provided by Embodiment 2 of the present invention；
Fig. 3 is the flow chart of the evaluation method for the automatic driving car that the embodiment of the present invention three provides；
Fig. 4 is the structural schematic diagram of the evaluating apparatus for the automatic driving car that the embodiment of the present invention four provides；
Fig. 5 is the structural schematic diagram for the computer equipment that the embodiment of the present invention five provides.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is the flow chart of the evaluation method for the automatic driving car that the embodiment of the present invention one provides, and the present embodiment is applicable
In evaluate automatic driving car driving ability the case where, this method can be executed by the evaluating apparatus of automatic driving car, the dress
Setting can be realized by software and/or hardware, can be generally integrated in the computer equipment for having calculation processing function, such as PC
Machine.As shown in Figure 1, this method specifically includes:
S110 obtains the corresponding measurement data of setting driving ability of automatic driving car.
Wherein, the setting driving ability of automatic driving car includes stationkeeping ability and sensing capability.Stationkeeping ability indicates nobody
The ability for the order of accuarcy that vehicle is positioned is driven, the corresponding measurement data of stationkeeping ability may include: coordinate data, route number
According to, speed data, acceleration information and stress data etc..Sensing capability indicates automatic driving car to environmental information and in-vehicle information
Acquisition order of accuarcy ability, the corresponding measurement data of sensing capability may include: vehicle surrounding objects at a distance from this vehicle
Data, the velocity and acceleration data of vehicle surrounding objects, voice data, traffic signals and traffic sign data etc..Measurement data
It can be obtained by the onboard sensor field survey of automatic driving car, for example, position indicator, laser range finder, camera, thunder
It reaches, velocity and acceleration sensor etc..In a particular application, driving ability corresponding one can be obtained according to actual evaluation demand
Kind or a variety of measurement data, to carry out the evaluation of driving ability.
S120 determines the grade of the setting driving ability according to the measurement data.
If only obtaining a kind of corresponding measurement data of setting driving ability, it is subject to the measurement data, determines the setting
The grade of driving ability.If obtaining the corresponding a variety of measurement data of setting driving ability, can according to each measurement data and
The corresponding weight of each measurement data, determines the grade of the setting driving ability.Wherein, weight can according to actual evaluation demand into
Row determines that the weight setting of the data important for setting driving ability is larger, for example, for the grade of stationkeeping ability
It determines, coordinate data is even more important, then the weight of coordinate data is larger, and the weight of speed data is smaller.
In one embodiment, which can be determined according to the corresponding measurement data of setting driving ability
The scoring answered determines corresponding grade according to the scoring being calculated, for example, 10 points of full marks, 9-10 points are 1 grade corresponding, 7-8 points pairs
Answer 2 grades, and so on.The mode for calculating scoring may is that the difference for calculating measurement data and preset standard data, according to default
Difference and the corresponding relationship of scoring determine the corresponding score of difference calculated, using the score as the setting driving ability
Scoring, by taking coordinate data as an example, the difference that measurement data and preset standard data is calculated is 3cm, according to default corresponding pass
It is 7 points that coordinate data difference known to system, which is the corresponding score of 3cm,.It should be noted that being directed to the difference of different driving abilities
The corresponding relationship of corresponding difference and scoring can be respectively set in the measurement data of type.If it is corresponding to obtain setting driving ability
A variety of measurement data, then can most final review of the score averaged as the setting driving ability to each measurement data
Point, alternatively, being weighted summation, and drive obtained score as the setting according to the score and weight of each measurement data
The final scoring of ability.
It should be noted that available same kind of multiple groups measurement data, calculates the average value of multiple groups measurement data,
Using the average value as the measurement data for participating in determining driving ability grade under the type, can be improved by multiple groups measurement data
The accuracy that grade determines.
It is corresponding to obtain the driving ability for the different driving abilities of automatic driving car for the technical solution of the present embodiment
Measurement data determines the grade of the driving ability according to the measurement data, and thus, it is possible to efficiently and accurately determine automatic driving car
The driving ability of various aspects provides reference to produce and sell.
Optionally, after the grade for according to the measurement data, determining the setting driving ability, further includes: according to
The grade of each setting driving ability of the automatic driving car, determines that information is sold in the production of the automatic driving car.Wherein, raw
It includes: yield, price, sales region and publicity strategy etc. that information is sold in production.
The evaluation of programme of automatic driving car provided in an embodiment of the present invention can be adapted for various ranks and model nobody
Drive vehicle.In actual production and application, its life can rationally be determined according to the grade of each driving ability of current automatic driving car
Information is sold in production, makes guidance for market and sale.For example, the grade of the stationkeeping ability of certain automatic driving car is 1 grade, energy is perceived
The grade of power is 2 grades, indicates that its performance is more outstanding, can fix a price higher, and yield can also be appropriate more, publicizes emphasis
It can be its stationkeeping ability.
Embodiment two
The present embodiment optimizes on the basis of the various embodiments described above, provides and obtains measurement data and determining driving energy
A kind of specific embodiment of power grade.Specifically, the corresponding measurement data of setting driving ability of automatic driving car is obtained, is wrapped
It includes: obtaining the corresponding different types of measurement data of setting driving ability；Correspondingly, according to the measurement data, determine described in
Set the grade of driving ability, comprising: obtain the corresponding evaluation data of various types of measurement data respectively；According to various types of survey
Amount data and corresponding each evaluation data determine the grade of the setting driving ability.
Fig. 2 is the flow chart of the evaluation method of automatic driving car provided by Embodiment 2 of the present invention, as shown in Fig. 2, the party
Method specifically includes:
S210 obtains the corresponding different types of measurement data of setting driving ability.
Wherein, the corresponding measurement data of driving ability can be divided into multiple types according to data type, for example, position class number
According to (such as coordinate, route), speed class data (such as acceleration deceleration state, velocity and acceleration), image class data (traffic signals with
The perception of traffic sign is needed using Image Acquisition), distance-like data (data such as perceived using radar), stress class number
According to (Qu Li of vehicle when such as turning).
S220 obtains the corresponding evaluation data of various types of measurement data respectively.
Evaluation data in the present embodiment refer to the index of the driving ability for evaluating automatic driving car.It can set in advance
Evaluation data corresponding to the corresponding various types of measurement data of each driving ability are set and store, to carry out automatic driving car
Corresponding evaluation data are called when evaluation.Evaluation data include: normal data and scoring threshold range, wherein normal data is
Refer to the standard value of a certain index, for example, safe speed when turning quarter bend；Scoring threshold range refers to measurement data and criterion numeral
According to difference, and the corresponding scoring of different difference.
It optionally, can be in the following manner before obtaining the corresponding evaluation data of various types of measurement data respectively
Setting evaluation data: pilot steering data relevant to setting driving ability are obtained；According to the pilot steering data determine with
The relevant evaluation data of the setting driving ability.
Wherein, pilot steering data are that the obtained various numbers of vehicle are manually safely driven in the case where setting evaluation scene
According to for example, according to time needed for the brake of front truck situation and distance, more apart from crossing when encountering traffic lights or emergency
Remote turn, the velocity and acceleration turned round etc..Specifically, more parts of pilot steering data can be integrated to determine evaluation data, incited somebody to action
The average value of same kind of more parts of pilot steering data is as the corresponding normal data of type measurement data, it is possible thereby to mention
The reasonability of high praise data.For example, for same kind of measurement data, by the multiple driving data of same people or difference
The average value for the more parts of pilot steering data that people obtains for the type measurement data is as the corresponding mark of type measurement data
Quasi- data.
S230, according to various types of measurement data and corresponding each evaluation data determine the setting driving ability etc.
Grade.
Optionally, according to various types of measurement data and corresponding each evaluation data determine the setting driving ability etc.
Grade, comprising: for the measurement data of each type, calculate the measurement data of the type and corresponding evaluation data Plays data
Difference；It determines scoring threshold range locating for the difference, and the type is determined according to identified scoring threshold range
The scoring of measurement data；After obtaining the scoring of various types of measurement data, according to the scoring of various types of measurement data and various types of
The corresponding weight of measurement data determines the grade of the setting driving ability.
Specifically summation can be weighted to the scoring of various types of measurement data, obtaining setting, driving ability is corresponding comments
Point.Illustratively, the corresponding three kinds of measurement data of stationkeeping ability, the scoring obtained afterwards compared with evaluating data is respectively 7,8,6, power
Again it is respectively 0.2,0.6,0.2, calculates 7 × 0.2+8 × 0.6+6 × 0.2=7.4, then the grade of stationkeeping ability is 2 grades.
The technical solution of the present embodiment obtains respectively for the corresponding different types of measurement data of setting driving ability
The corresponding evaluation data of the type measurement data, comprehensive various types of measurement data determine together the setting driving ability etc.
Grade, thus, it is possible to driving abilities that is more accurate, effectively determining automatic driving car various aspects, provide ginseng to produce and sell
It examines.
Embodiment three
The present embodiment optimizes on the basis of the various embodiments described above, provides and obtains measurement data and determining driving energy
A kind of specific embodiment of power grade.Specifically, the corresponding measurement data of setting driving ability of automatic driving car is obtained, is wrapped
It includes: obtaining the corresponding measurement data of setting driving ability under setting Driving Scene；Correspondingly, it according to the measurement data, determines
The grade of the setting driving ability, comprising: according to the measurement data, determine that the setting under the setting Driving Scene drives
The grade of ability.
Fig. 3 is the flow chart of the evaluation method for the automatic driving car that the embodiment of the present invention three provides, as shown in figure 3, the party
Method specifically includes:
S310 obtains the corresponding measurement data of setting driving ability under setting Driving Scene.
Wherein, Driving Scene is the scene of automatic driving car required experience during actual travel, for example, four crossway
Mouth, doubling, overtakes other vehicles, runs at high speed at rotary island.Evaluation data of the same driving ability under different Driving Scenes are different
, for example, sensing capability under turn scene and straight-line travelling scene to surrounding objects at a distance from this vehicle and the requirement of speed
It is different.
S320 determines the grade of the setting driving ability under the setting Driving Scene according to the measurement data.
The present embodiment compared with the various embodiments described above, increase Driving Scene because usually determine automatic driving car drive energy
The grade of power is needed according to the different corresponding evaluation data of Driving Scene setting.Acquisition, driving ability about measurement data
The specific method of determination of grade, identical as the various embodiments described above, the present embodiment repeats no more this.
Illustratively, for doubling scene, the corresponding measurement data of stationkeeping ability include: this vehicle real-time coordinates data,
The travel route of this vehicle and direction and the present speed of this vehicle etc.；The corresponding measurement data of sensing capability includes: Ben Che and work as
The relative distance of the front and back vehicle of the relative distance of the front and back vehicle in preceding lane, relative velocity, Ben Che and adjacent lane, relative velocity,
And lane line data etc..
The technical solution of the present embodiment determines the grade of each driving ability under different Driving Scenes, energy in conjunction with Driving Scene
The driving ability of automatic driving car in all respects is enough more reasonably determined, actual evaluation demand is more met, to produce and sell
Rationally reference is provided.
Example IV
Fig. 4 is the structural schematic diagram of the evaluating apparatus for the automatic driving car that the embodiment of the present invention four provides, as shown in figure 4,
The device includes:
Data acquisition module 410, for obtaining the corresponding measurement data of setting driving ability of automatic driving car；
Level determination module 420, for determining the grade of the setting driving ability according to the measurement data.
It is corresponding to obtain the driving ability for the different driving abilities of automatic driving car for the technical solution of the present embodiment
Measurement data determines the grade of the driving ability according to the measurement data, and thus, it is possible to efficiently and accurately determine automatic driving car
The driving ability of various aspects provides reference to produce and sell.
Optionally, the data acquisition module 410 is specifically used for: obtaining the corresponding different types of survey of setting driving ability
Measure data；
Correspondingly, the level determination module 420 includes:
Data capture unit is evaluated, for obtaining the corresponding evaluation data of various types of measurement data respectively；
Level de-termination unit, for determining that the setting is driven according to various types of measurement data and corresponding each evaluation data
Sail the grade of ability.
Optionally, described device further include: evaluation data determining module, for obtaining various types of measurement data respectively
Before corresponding evaluation data, pilot steering data relevant to setting driving ability are obtained；According to the pilot steering data
Determine evaluation data relevant to the setting driving ability.
Optionally, the evaluation data include: normal data and scoring threshold range；The level de-termination unit is specifically used
In:
For the measurement data of each type, the measurement data of the type and corresponding evaluation data Plays data are calculated
Difference；
It determines scoring threshold range locating for the difference, and the type is determined according to identified scoring threshold range
The scoring of measurement data；
According to the scoring of various types of measurement data and the corresponding weight of various types of measurement data, determine that the setting drives
The grade of ability.
Optionally, the data acquisition module 410 is specifically used for: it is corresponding to obtain setting driving ability under setting Driving Scene
Measurement data；
Correspondingly, the level determination module 420 is specifically used for: according to the measurement data, determining that the setting drives
The grade of setting driving ability under scene.
Optionally, described device further include: information determination module, for setting described in determine according to the measurement data
After the grade for determining driving ability, according to the grade of each setting driving ability of the automatic driving car, determine it is described nobody drive
Information is sold in the production for sailing vehicle.
The evaluating apparatus of automatic driving car provided by the embodiment of the present invention can be performed any embodiment of that present invention and be provided
Automatic driving car evaluation method, have the corresponding functional module of execution method and beneficial effect.Not in the present embodiment in detail
The technical detail described to the greatest extent, reference can be made to the evaluation method for the automatic driving car that any embodiment of that present invention provides.
Embodiment five
Present embodiments provide a kind of computer equipment, comprising:
One or more processors；
Memory, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes the evaluation method of the automatic driving car as described in any embodiment of that present invention.
Fig. 5 is the structural schematic diagram for the computer equipment that the embodiment of the present invention five provides.Fig. 5, which is shown, to be suitable for being used to realizing
The block diagram of the exemplary computer device 12 of embodiment of the present invention.The computer equipment 12 that Fig. 5 is shown is only an example,
Should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in figure 5, computer equipment 12 is showed in the form of universal computing device.The component of computer equipment 12 can be with
Including but not limited to: one or more processor or processing unit 16, system storage 28 connect different system components
The bus 18 of (including system storage 28 and processing unit 16).
Bus 18 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts
For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)
Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Computer equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be by
The usable medium that computer equipment 12 accesses, including volatile and non-volatile media, moveable and immovable medium.
System storage 28 may include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (RAM) 30 and/or cache memory 32.Computer equipment 12 may further include it is other it is removable/can not
Mobile, volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for reading and writing not
Movably, non-volatile magnetic media (Fig. 5 do not show, commonly referred to as " hard disk drive ").It, can be with although being not shown in Fig. 5
The disc driver for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") is provided, and non-volatile to moving
The CD drive of CD (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driving
Device can be connected by one or more data media interfaces with bus 18.System storage 28 may include at least one journey
Sequence product, the program product have one group of (for example, at least one) program module, these program modules are configured to perform this hair
The function of bright each embodiment.
Program/utility 40 with one group of (at least one) program module 42 can store and store in such as system
In device 28, such program module 42 includes but is not limited to operating system, one or more application program, other program modules
And program data, it may include the realization of network environment in each of these examples or certain combination.Program module 42
Usually execute the function and/or method in embodiment described in the invention.
Computer equipment 12 can also be with one or more external equipments 14 (such as keyboard, sensing equipment, display 24
Deng) communication, can also be enabled a user to one or more equipment interact with the computer equipment 12 communicate, and/or with make
The computer equipment 12 any equipment (such as network interface card, the modulatedemodulate that can be communicated with one or more of the other calculating equipment
Adjust device etc.) communication.This communication can be carried out by input/output (I/O) interface 22.Also, computer equipment 12 may be used also
To pass through network adapter 20 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network
Network, such as internet) communication.As shown in figure 5, network adapter 20 is logical by other modules of bus 18 and computer equipment 12
Letter.It should be understood that although not shown in the drawings, can in conjunction with computer equipment 12 use other hardware and/or software module, including
But it is not limited to: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive
And data backup storage system etc..
Processing unit 16 by the program that is stored in system storage 28 of operation, thereby executing various function application and
Data processing, such as realize the evaluation method of automatic driving car provided by the embodiment of the present invention.Namely: obtain automatic driving car
The corresponding measurement data of setting driving ability；According to the measurement data, the grade of the setting driving ability is determined.
Embodiment six
The embodiment of the present invention six provides a kind of computer readable storage medium, is stored thereon with computer program, the journey
The evaluation method of the automatic driving car as described in any embodiment of that present invention is realized when sequence is executed by processor.Namely: obtain nothing
The corresponding measurement data of setting driving ability of people's driving vehicle；According to the measurement data, the setting driving ability is determined
Grade.
The computer storage medium of the embodiment of the present invention, can be using any of one or more computer-readable media
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or
Device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: tool
There are electrical connection, the portable computer diskette, hard disk, random access memory (RAM), read-only memory of one or more conducting wires
(ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-
ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable storage
Medium can be any tangible medium for including or store program, which can be commanded execution system, device or device
Using or it is in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of evaluation method of automatic driving car characterized by comprising
Obtain the corresponding measurement data of setting driving ability of automatic driving car；
According to the measurement data, the grade of the setting driving ability is determined.
2. the method according to claim 1, wherein obtaining the corresponding survey of setting driving ability of automatic driving car
Measure data, comprising:
Obtain the corresponding different types of measurement data of setting driving ability；
Correspondingly, according to the measurement data, the grade of the setting driving ability is determined, comprising:
The corresponding evaluation data of various types of measurement data are obtained respectively；
The grade of the setting driving ability is determined according to various types of measurement data and corresponding each evaluation data.
3. according to the method described in claim 2, it is characterized in that, obtaining the corresponding evaluation of various types of measurement data respectively
Before data, further includes:
Obtain pilot steering data relevant to setting driving ability；
Evaluation data relevant to the setting driving ability are determined according to the pilot steering data.
4. according to the method described in claim 2, it is characterized in that, the evaluation data include: normal data and scoring threshold value
Range；
The grade of the setting driving ability is determined according to various types of measurement data and corresponding each evaluation data, comprising:
For the measurement data of each type, the measurement data of the type and the difference of corresponding evaluation data Plays data are calculated
Value；
It determines scoring threshold range locating for the difference, and determines the measurement of the type according to identified scoring threshold range
The scoring of data；
According to the scoring of various types of measurement data and the corresponding weight of various types of measurement data, the setting driving ability is determined
Grade.
5. the method according to claim 1, wherein obtaining the corresponding survey of setting driving ability of automatic driving car
Measure data, comprising:
Obtain the corresponding measurement data of setting driving ability under setting Driving Scene；
Correspondingly, according to the measurement data, the grade of the setting driving ability is determined, comprising:
According to the measurement data, the grade of the setting driving ability under the setting Driving Scene is determined.
6. the method according to claim 1, wherein the setting driving ability includes stationkeeping ability and perception energy
Power.
7. any method in -6 according to claim 1, which is characterized in that described in determining according to the measurement data
After the grade for setting driving ability, further includes:
According to the grade of each setting driving ability of the automatic driving car, determine that letter is sold in the production of the automatic driving car
Breath.
8. a kind of evaluating apparatus of automatic driving car characterized by comprising
Data acquisition module, for obtaining the corresponding measurement data of setting driving ability of automatic driving car；
Level determination module, for determining the grade of the setting driving ability according to the measurement data.
9. a kind of computer equipment, which is characterized in that the computer equipment includes:
One or more processors；
Memory, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The now evaluation method of the automatic driving car as described in any in claim 1 to 7.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The evaluation method of the automatic driving car as described in any in claim 1 to 7 is realized when execution.
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| CN201811255263.1A CN109443794A (en) | 2018-10-26 | 2018-10-26 | Evaluation method, device, computer equipment and the storage medium of automatic driving car |
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| CN201811255263.1A CN109443794A (en) | 2018-10-26 | 2018-10-26 | Evaluation method, device, computer equipment and the storage medium of automatic driving car |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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