CN109710658A - Automatic Pilot evaluating method, device and equipment - Google Patents
Automatic Pilot evaluating method, device and equipment Download PDFInfo
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- CN109710658A CN109710658A CN201811504275.3A CN201811504275A CN109710658A CN 109710658 A CN109710658 A CN 109710658A CN 201811504275 A CN201811504275 A CN 201811504275A CN 109710658 A CN109710658 A CN 109710658A
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Abstract
The invention proposes a kind of automatic Pilot evaluating method, device and equipment, wherein method includes: to obtain the first contextual data and the first vehicle operating behavior of automatic Pilot；Automatic Pilot scene is determined according to the first contextual data, and automatic Pilot statistical data is generated according to the first vehicle operating behavior；According to pilot steering statistical data corresponding with automatic Pilot scene, automatic Pilot statistical data is evaluated and tested, generates evaluation result.Thereby, it is possible to whether the otherness and automatic Pilot behavior of pilot steering and automatic Pilot under objective evaluating difference Driving Scene are safe and reliable.
Description
Technical field
The present invention relates to automatic Pilot technical field more particularly to a kind of automatic Pilot evaluating methods, device and equipment.
Background technique
With the fast development of artificial intelligence and automotive engineering, autonomous driving vehicle has started to come into from laboratory and demonstration
Daily life.The autonomous driving vehicle with autonomous driveability controlled by machine and algorithm, automatic Pilot row
For whether safety is always focus concerned by people.
Currently, complete set feasibly method is needed in the related technology, it is whether safe and reliable to evaluate and test automatic Pilot.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.
For this purpose, an aspect of of the present present invention proposes a kind of automatic Pilot evaluating method, according to the pilot steering under Driving Scene
Statistical data evaluates and tests automatic Pilot statistical data, realizes under objective evaluating difference Driving Scene pilot steering and automatic
Whether the otherness of driving and automatic Pilot behavior are safe and reliable.
Another aspect of the present invention proposes a kind of automatic Pilot evaluating apparatus.
Another aspect of the present invention proposes a kind of computer equipment.
Another aspect of the invention proposes a kind of non-transitorycomputer readable storage medium.
First aspect present invention embodiment proposes a kind of automatic Pilot evaluating method, comprising:
Obtain the first contextual data and the first vehicle operating behavior of automatic Pilot；
Automatic Pilot scene is determined according to first contextual data, and is generated according to the first vehicle operating behavior
Automatic Pilot statistical data；
According to pilot steering statistical data corresponding with the automatic Pilot scene, to the automatic Pilot statistical data into
Row evaluation and test, generates evaluation result.
The automatic Pilot evaluating method of the embodiment of the present invention, by the first contextual data and the first vehicle that obtain automatic Pilot
Operation behavior, and then automatic Pilot scene is determined according to the first contextual data, and generate according to the first vehicle operating behavior
Automatic Pilot statistical data unites to automatic Pilot further according to pilot steering statistical data corresponding with automatic Pilot scene
It counts and is evaluated and tested, generate evaluation result.As a result, by obtaining Driving Scene and driving statistical data, and according to driver training ground
Pilot steering statistical data under scape evaluates and tests automatic Pilot statistical data, and realizing being capable of objective evaluating difference driver training ground
Whether the otherness and automatic Pilot behavior of pilot steering and automatic Pilot are safe and reliable under scape.
In addition, automatic Pilot evaluating method according to the above embodiment of the present invention can also have following supplementary technology special
Sign:
Optionally, in basis pilot steering statistical data corresponding with the automatic Pilot scene, to the automatic Pilot
Before statistical data is evaluated and tested, further includes: obtain the second contextual data and the second vehicle operating behavior of pilot steering；According to
Second contextual data determines pilot steering scene, and generates pilot steering statistics according to the second vehicle operating behavior
Data, wherein the pilot steering scene and the automatic Pilot scene correspond.
Optionally, basis pilot steering statistical data corresponding with the automatic Pilot scene is driven automatically to described
It sails statistical data to be evaluated and tested, comprising: obtain the positive sample and the automatic Pilot statistical number of the pilot steering statistical data
According to the first difference；When first difference is greater than preset threshold, alarm prompt is generated.
Optionally, basis pilot steering statistical data corresponding with the automatic Pilot scene is driven automatically to described
Statistical data is sailed to be evaluated and tested, comprising: obtain the pilot steering statistical data negative sample and the automatic Pilot statistical number
According to the second difference；When second difference is less than preset threshold, alarm prompt is generated.
Optionally, the contextual data includes vehicle location, vehicle driving trace, traffic element.
Optionally, when the vehicle operating behavior includes wheel steering degree, braking strength, Throttle Opening Control amount and operation
Between.
Second aspect of the present invention embodiment proposes a kind of automatic Pilot evaluating apparatus, comprising:
First obtains module, for obtaining the first contextual data and the first vehicle operating behavior of automatic Pilot；
First determining module, for determining automatic Pilot scene according to first contextual data, and according to described
One vehicle operating behavior generates automatic Pilot statistical data；
Evaluation and test module, for basis pilot steering statistical data corresponding with the automatic Pilot scene, to described automatic
It drives statistical data to be evaluated and tested, generates evaluation result.
The automatic Pilot evaluating apparatus of the embodiment of the present invention, by the first contextual data and the first vehicle that obtain automatic Pilot
Operation behavior, and then automatic Pilot scene is determined according to the first contextual data, and generate according to the first vehicle operating behavior
Automatic Pilot statistical data unites to automatic Pilot further according to pilot steering statistical data corresponding with automatic Pilot scene
It counts and is evaluated and tested, generate evaluation result.As a result, by obtaining Driving Scene and driving statistical data, and according to driver training ground
Pilot steering statistical data under scape evaluates and tests automatic Pilot statistical data, and realizing being capable of objective evaluating difference driver training ground
Whether the otherness and automatic Pilot behavior of pilot steering and automatic Pilot are safe and reliable under scape.
In addition, automatic Pilot evaluating apparatus according to the above embodiment of the present invention can also have following supplementary technology special
Sign:
Optionally, the device further include: second obtain module, for obtain pilot steering the second contextual data and
Second vehicle operating behavior；Second determining module, for determining pilot steering scene, Yi Jigen according to second contextual data
Pilot steering statistical data is generated according to the second vehicle operating behavior, wherein the pilot steering scene is driven automatically with described
Sail scene one-to-one correspondence.
Optionally, the evaluation and test module is specifically used for: obtain the pilot steering statistical data positive sample and it is described from
Dynamic the first difference for driving statistical data；When first difference is greater than preset threshold, alarm prompt is generated.
Optionally, the evaluation and test module is specifically used for: obtain the pilot steering statistical data negative sample and it is described from
Dynamic the second difference for driving statistical data；When second difference is less than preset threshold, alarm prompt is generated.
Third aspect present invention embodiment proposes a kind of computer equipment, including processor and memory；Wherein, described
Processor is corresponding with the executable program code to run by reading the executable program code stored in the memory
Program, for realizing the automatic Pilot evaluating method as described in first aspect embodiment.
Fourth aspect present invention embodiment proposes a kind of non-transitorycomputer readable storage medium, is stored thereon with meter
Calculation machine program, which is characterized in that realize that the automatic Pilot as described in first aspect embodiment is commented when the program is executed by processor
Survey method.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of automatic Pilot evaluating method provided by the embodiment of the present invention；
Fig. 2 is the flow diagram of another kind automatic Pilot evaluating method provided by the embodiment of the present invention；
Fig. 3 is a kind of structural schematic diagram of automatic Pilot evaluating apparatus provided by the embodiment of the present invention；
Fig. 4 is the structural schematic diagram of another kind automatic Pilot evaluating apparatus provided by the embodiment of the present invention；
Fig. 5 shows the block diagram for being suitable for the exemplary computer device for being used to realize the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
Below with reference to the accompanying drawings automatic Pilot evaluating method, device and the equipment of the embodiment of the present invention are described.
Fig. 1 is a kind of flow diagram of automatic Pilot evaluating method provided by the embodiment of the present invention, as shown in Figure 1,
This method comprises:
Step 101, the first contextual data and the first vehicle operating behavior of automatic Pilot are obtained.
In the present embodiment, when evaluating and testing to automatic Pilot behavior, the first scene number of automatic Pilot can be first obtained
According to the first vehicle operating behavior.
As a kind of possible implementation, data acquisition device can be preset in the car, and is adopted by data
Acquisition means acquire the first contextual data and the first vehicle operating behavior.Wherein, data acquisition device includes but is not limited to GPS
(Global Positioning System, global positioning system) positioning device, IMU (Inertial Measurement
Unit, Inertial Measurement Unit) inertial navigation set, video camera, laser radar, millimetre-wave radar and detection vehicle driving shape
The equipment etc. of state.
Wherein, the first contextual data includes but is not limited to vehicle location, vehicle driving trace, traffic element etc..
As an example, can be obtained by video camera, radar the pedestrian of vehicle periphery to be evaluated, other vehicles and
Traffic signboard, as traffic element.
As another example, vehicle to be evaluated can be determined by GPS positioning device or IMU inertial navigation set
Position obtains vehicle location, and then draws vehicle driving trace according to each moment vehicle location.
Wherein, the first vehicle operating behavior includes but is not limited to the wheel steering degree of vehicle, braking strength, Throttle Opening Control
Amount and vehicle operating time etc..
As an example, pressure sensor can be preset, and brake pedal is detected by pressure sensor and is trampled
When pressure value, to determine braking strength according to the pressure value.
Step 102, automatic Pilot scene is determined according to the first contextual data, and is generated according to the first vehicle operating behavior
Automatic Pilot statistical data.
In one embodiment of the invention, abstract extraction can be carried out to the first contextual data, so that it is determined that driving automatically
Sail scene.For example it can determine that automatic Pilot scene is that follow the bus travels, overtakes other vehicles by crossroad, waiting traffic lights, lane change.
For example, the traffic element for obtaining automatic Pilot vehicle front includes traffic lights, LED status is red light, and vehicle
When position is constant, automatic Pilot scene is determined to wait traffic lights.
For another example obtaining automatic Pilot vehicle front includes other vehicles, and the automatic driving vehicle and front vehicles are protected
When holding a certain distance and moving forward, determine automatic Pilot scene for follow the bus traveling.
It should be noted that the above-mentioned implementation that Driving Scene is determined according to contextual data is only a kind of example, tool
Body can be set according to actual needs the Rule of judgment of Driving Scene, herein with no restriction.
It in one embodiment of the invention, can be according to the first vehicle operating behavior after determining automatic Pilot scene
The automatic Pilot statistical data under the automatic Pilot scene is generated, for example, the automatic Pilot scene in T time section is with garage
It sails, then generates the automatic Pilot statistical data under follow the bus driving scene according to the first vehicle operating behavior in the T time section.
For example, vehicle heading can be detected by gyroscope, the acceleration of vehicle is detected by accelerometer, in turn
Vehicle lateral acceleration and side acceleration are obtained by related algorithm according to driving direction and acceleration.
Wherein, automatic Pilot statistical data includes but is not limited to vehicle lateral acceleration, side acceleration, steering wheel turn
Angle, steering wheel angle rate, throttle output quantity, braking strength and its corresponding time.
Step 103, according to pilot steering statistical data corresponding with automatic Pilot scene, to automatic Pilot statistical data into
Row evaluation and test, generates evaluation result.
In one embodiment of the invention, automatic Pilot scene and corresponding automatic Pilot statistical data are being determined
Afterwards, available pilot steering statistical data corresponding with the Driving Scene, for example, each driver training ground can be counted based on big data
Pilot steering statistical data under scape, and determine pilot steering statistical data corresponding with the Driving Scene.In turn, according to artificial
Statistical data is driven to evaluate and test automatic Pilot statistical data.
As an example, the first difference of available pilot steering statistical data and automatic Pilot statistical data, when
When first difference is greater than preset threshold, alarm prompt is generated.Wherein, preset threshold can be determined by lot of experimental data,
Also it can according to need self-setting, herein with no restriction.
It, can be according to the difference of pilot steering statistical data and automatic Pilot statistical data and pre- as another example
The formula being first arranged gives a mark to automatic Pilot statistical data and generates marking result.
The automatic Pilot evaluating method of the embodiment of the present invention, by the first contextual data and the first vehicle that obtain automatic Pilot
Operation behavior, and then automatic Pilot scene is determined according to the first contextual data, and generate according to the first vehicle operating behavior
Automatic Pilot statistical data unites to automatic Pilot further according to pilot steering statistical data corresponding with automatic Pilot scene
It counts and is evaluated and tested, generate evaluation result.As a result, by obtaining Driving Scene and driving statistical data, and according to driver training ground
Pilot steering statistical data under scape evaluates and tests automatic Pilot statistical data, and realizing being capable of objective evaluating difference driver training ground
Whether the otherness and automatic Pilot behavior of pilot steering and automatic Pilot are safe and reliable under scape.
Based on the above embodiment, further, Fig. 2 is another kind automatic Pilot evaluation and test side provided by the embodiment of the present invention
The flow diagram of method, as shown in Fig. 2, this method comprises:
Step 201, the first contextual data and the first vehicle operating behavior of automatic Pilot are obtained.
Step 202, automatic Pilot scene is determined according to the first contextual data, and is generated according to the first vehicle operating behavior
Automatic Pilot statistical data.
Previous embodiment is equally applicable to step 201,202 to the explanation of step 101,102, and details are not described herein again.
Step 203, the second contextual data and the second vehicle operating behavior of pilot steering are obtained.
Step 204, pilot steering scene is determined according to the second contextual data, and is generated according to the second vehicle operating behavior
Pilot steering statistical data, wherein pilot steering scene and automatic Pilot scene correspond.
As a kind of possible implementation, data acquisition device can be preset in the car, and in pilot steering
When pass through data acquisition device and acquire the second contextual data and the second vehicle operating behavior.Wherein, the second contextual data include but
It is not limited to vehicle location, vehicle driving trace, traffic element etc., the second vehicle operating behavior includes but is not limited to the direction of vehicle
Disk steering degree, braking strength, Throttle Opening Control amount and vehicle operating time etc..
In one embodiment of the invention, abstract extraction can be carried out to the second contextual data, so that it is determined that manually driving
Sail scene.For example it can determine that automatic Pilot scene is that follow the bus travels, overtakes other vehicles by crossroad, waiting traffic lights, lane change.
Wherein, pilot steering scene and automatic Pilot scene correspond, for example, pilot steering follow the bus driving scene and automatic Pilot with
Vehicle driving scene is corresponding.In turn, after determining pilot steering scene, this can be generated according to the second vehicle operating behavior and manually driven
Sail the pilot steering statistical data under scene.
Wherein, pilot steering statistical data is similar with automatic Pilot statistical data, and including but not limited to lateral direction of car accelerates
Degree, side acceleration, steering wheel angle, steering wheel angle rate, throttle output quantity, braking strength and its corresponding time.
Step 205, the positive sample of pilot steering statistical data and the first difference of automatic Pilot statistical data are obtained.
Step 206, when the first difference is greater than preset threshold, alarm prompt is generated.
In one embodiment of the invention, the positive sample data in pilot steering statistical data can be filtered out, such as
The pilot steering statistical data of normally travel vehicle can be obtained based on big data.In turn, by the pilot steering statistical data with
Automatic Pilot statistical data is compared, and obtains data difference, when difference is greater than preset threshold, generates alarm prompt.
For example, when speed is 30km/h, the following distance of pilot steering is 20 meters, automatically by taking follow the bus driving scene as an example
The following distance of driving is 10 meters, judges that difference is greater than 5 meters of preset threshold for 10 meters, determines that automatic Pilot following distance is excessively close,
Alarm prompt is generated, is improved so as to the following distance according to alarm prompt for automatic Pilot.
For another example the following distance of pilot steering is 20 meters under follow the bus driving scene, the following distance of automatic Pilot is 10
Rice, automatic Pilot and pilot steering statistical data gap 50% are greater than preset standard 10%, generate alarm prompt, so as to
Enough following distances according to alarm prompt for automatic Pilot improve.
Wherein, the form of alarm prompt includes but is not limited to voice prompting, text importing prompt etc..
It is appreciated that under same Driving Scene, when pilot steering positive sample statistical data and automatic Pilot statistical data
When differing greatly, it is believed that automatic Pilot behavior is easy to appear problem under the Driving Scene, and safety is to be improved.Than
Such as, under same follow the bus driving scene, the following distance of pilot steering is 20 meters, and automatic Pilot following distance is 10 meters, can be with
Think that automatic Pilot follow the bus is excessively close, safety is to be improved.
It should be noted that being counted when can be greater than preset threshold with the difference of a statistical data wherein for this
Data generate alarm prompt, can also generate alarm prompt when the difference of all statistical data is all larger than preset threshold
Information, herein with no restriction.
In one embodiment of the invention, the negative sample data in pilot steering statistical data can also be filtered out, than
The pilot steering statistical data of traffic accident scene downward driving vehicle can be such as obtained based on big data.In turn, this is manually driven
It sails statistical data to be compared with automatic Pilot statistical data, obtains data difference, when difference is less than preset threshold, generates and accuse
Alert prompt information.Wherein, preset threshold can be determined by lot of experimental data, also can according to need self-setting, negative sample
Preset threshold when evaluation and test can be different from the preset threshold that positive sample is evaluated and tested, can also be identical, herein with no restriction.
It is appreciated that under same Driving Scene, when pilot steering negative sample statistical data and automatic Pilot statistical data
When difference is smaller, it is believed that automatic Pilot behavior is easy to appear problem under the Driving Scene, and safety is to be improved.
The automatic Pilot evaluating method of the embodiment of the present invention, the pilot steering statistical number under available each Driving Scene
According to, and the otherness of the pilot steering statistical data under same Driving Scene Yu automatic Pilot statistical data is evaluated and tested, it is driven when automatically
When sailing the difference of statistical data and positive sample greater than preset threshold, alarm prompt is generated, or work as automatic Pilot statistical number
When according to being less than preset threshold with the difference of negative sample, alarm prompt is generated.Thereby, it is possible to objective evaluating difference Driving Scenes
The otherness of lower pilot steering and automatic Pilot, and then whether evaluate and test automatic Pilot behavior safe and reliable.
In order to realize above-described embodiment, the present invention also proposes a kind of automatic Pilot evaluating apparatus.
Fig. 3 is a kind of structural schematic diagram of automatic Pilot evaluating apparatus provided by the embodiment of the present invention, as shown in figure 3,
The device includes: the first acquisition module 100, the first determining module 200, evaluation and test module 300.
Wherein, first module 100 is obtained, for obtaining the first contextual data and the first vehicle operating row of automatic Pilot
For.
First determining module 200, for determining automatic Pilot scene according to the first contextual data, and according to the first vehicle
Operation behavior generates automatic Pilot statistical data.
Evaluation and test module 300, for being united to automatic Pilot according to pilot steering statistical data corresponding with automatic Pilot scene
It counts and is evaluated and tested, generate evaluation result.
On the basis of Fig. 3, automatic Pilot evaluating apparatus shown in Fig. 4 further include: second obtains module 400, and second really
Cover half block 500.
Wherein, second module 400 is obtained, for obtaining the second contextual data and the second vehicle operating row of pilot steering
For.
Second determining module 500, for determining pilot steering scene according to the second contextual data, and according to the second vehicle
Operation behavior generates pilot steering statistical data, wherein pilot steering scene and automatic Pilot scene correspond.
Optionally, evaluation and test module 300 is specifically used for: the positive sample and automatic Pilot for obtaining pilot steering statistical data count
First difference of data；When the first difference is greater than preset threshold, alarm prompt is generated.
Optionally, evaluation and test module 300 is specifically used for: the negative sample and automatic Pilot for obtaining pilot steering statistical data count
Second difference of data；When the second difference is less than preset threshold, alarm prompt is generated.
It should be noted that previous embodiment is equally applicable to the present embodiment to the explanation of automatic Pilot evaluating method
Automatic Pilot evaluating apparatus, details are not described herein again.
The automatic Pilot evaluating apparatus of the embodiment of the present invention, by the first contextual data and the first vehicle that obtain automatic Pilot
Operation behavior, and then automatic Pilot scene is determined according to the first contextual data, and generate according to the first vehicle operating behavior
Automatic Pilot statistical data unites to automatic Pilot further according to pilot steering statistical data corresponding with automatic Pilot scene
It counts and is evaluated and tested, generate evaluation result.As a result, by obtaining Driving Scene and driving statistical data, and according to driver training ground
Pilot steering statistical data under scape evaluates and tests automatic Pilot statistical data, and realizing being capable of objective evaluating difference driver training ground
Whether the otherness and automatic Pilot behavior of pilot steering and automatic Pilot are safe and reliable under scape.
In order to realize above-described embodiment, the present invention also proposes a kind of computer equipment, including processor and memory；Its
In, processor runs journey corresponding with executable program code by reading the executable program code stored in memory
Sequence, for realizing the automatic Pilot evaluating method as described in aforementioned any embodiment.
In order to realize above-described embodiment, the present invention also proposes a kind of computer program product, when in computer program product
Instruction the automatic Pilot evaluating method as described in aforementioned any embodiment is realized when being executed by processor.
In order to realize above-described embodiment, the present invention also proposes a kind of non-transitorycomputer readable storage medium, deposits thereon
Computer program is contained, the automatic Pilot evaluation and test side as described in aforementioned any embodiment is realized when which is executed by processor
Method.
Fig. 5 shows the block diagram for being suitable for the exemplary computer device for being used to realize the embodiment of the present invention.The meter that Fig. 5 is shown
Calculating machine equipment 12 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 (Industry Standard
Architecture；Hereinafter referred to as: ISA) bus, microchannel architecture (Micro Channel Architecture；Below
Referred to as: MAC) bus, enhanced isa bus, Video Electronics Standards Association (Video Electronics Standards
Association；Hereinafter referred to as: VESA) local bus and peripheral component interconnection (Peripheral Component
Interconnection；Hereinafter referred to as: 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.
Memory 28 may include the computer system readable media of form of volatile memory, such as random access memory
Device (Random Access Memory；Hereinafter referred to as: RAM) 30 and/or cache memory 32.Computer equipment 12 can be with
It further comprise other removable/nonremovable, volatile/non-volatile computer system storage mediums.Only as an example,
Storage system 34 can be used for reading and writing immovable, non-volatile magnetic media, and (Fig. 5 do not show, commonly referred to as " hard drive
Device ").Although being not shown in Fig. 5, the disk for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") can be provided and driven
Dynamic device, and to removable anonvolatile optical disk (such as: compact disc read-only memory (Compact Disc Read Only
Memory；Hereinafter referred to as: CD-ROM), digital multi CD-ROM (Digital Video Disc Read Only
Memory；Hereinafter referred to as: DVD-ROM) or other optical mediums) read-write CD drive.In these cases, each driving
Device can be connected by one or more data media interfaces with bus 18.Memory 28 may include that at least one program produces
Product, the program product have one group of (for example, at least one) program module, and it is each that these program modules are configured to perform the application
The function of embodiment.
Program/utility 40 with one group of (at least one) program module 42 can store in such as memory 28
In, such program module 42 include but is not limited to operating system, one or more application program, other program modules and
It may include the realization of network environment in program data, each of these examples or certain combination.Program module 42 is usual
Execute the function and/or method in embodiments described herein.
Computer equipment 12 can also be with one or more external equipments 14 (such as keyboard, sensing equipment, display 24
Deng) communication, the equipment interacted with the computer system/server 12 can be also enabled a user to one or more to be communicated, and/
Or with enable the computer system/server 12 and one or more of the other any equipment (example for being communicated of calculating equipment
Such as network interface card, modem etc.) communication.This communication can be carried out by input/output (I/O) interface 22.Also, it calculates
Machine equipment 12 can also pass through network adapter 20 and one or more network (such as local area network (Local Area
Network；Hereinafter referred to as: LAN), wide area network (Wide Area Network；Hereinafter referred to as: WAN) and/or public network, example
Such as internet) communication.As shown, network adapter 20 is communicated by bus 18 with other modules of computer equipment 12.It answers
When understanding, although not shown in the drawings, other hardware and/or software module can be used in conjunction with computer equipment 12, including but not
Be 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 method referred in previous embodiment.
In the description of the present invention, it is to be understood that, term " first ", " second " are used for description purposes only, and cannot
It is interpreted as indication or suggestion relative importance or implicitly indicates the quantity of indicated technical characteristic.Define as a result, " the
One ", the feature of " second " can explicitly or implicitly include at least one of the features.In the description of the present invention, " multiple "
It is meant that at least two, such as two, three etc., unless otherwise specifically defined.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (12)
1. a kind of automatic Pilot evaluating method characterized by comprising
Obtain the first contextual data and the first vehicle operating behavior of automatic Pilot；
Automatic Pilot scene is determined according to first contextual data, and is generated automatically according to the first vehicle operating behavior
Drive statistical data；
According to pilot steering statistical data corresponding with the automatic Pilot scene, the automatic Pilot statistical data is commented
It surveys, generates evaluation result.
2. automatic Pilot evaluating method as described in claim 1, which is characterized in that in basis and the automatic Pilot scene pair
The pilot steering statistical data answered, before being evaluated and tested to the automatic Pilot statistical data, further includes:
Obtain the second contextual data and the second vehicle operating behavior of pilot steering；
Pilot steering scene is determined according to second contextual data, and is generated manually according to the second vehicle operating behavior
Drive statistical data, wherein the pilot steering scene and the automatic Pilot scene correspond.
3. automatic Pilot evaluating method as described in claim 1, which is characterized in that the basis and the automatic Pilot scene
Corresponding pilot steering statistical data evaluates and tests the automatic Pilot statistical data, comprising:
Obtain the positive sample of the pilot steering statistical data and the first difference of the automatic Pilot statistical data；
When first difference is greater than preset threshold, alarm prompt is generated.
4. automatic Pilot evaluating method as described in claim 1, which is characterized in that the basis and the automatic Pilot scene
Corresponding pilot steering statistical data evaluates and tests the automatic Pilot statistical data, comprising:
Obtain the negative sample of the pilot steering statistical data and the second difference of the automatic Pilot statistical data；
When second difference is less than preset threshold, alarm prompt is generated.
5. automatic Pilot evaluating method according to any one of claims 1-4, which is characterized in that the contextual data includes vehicle
Position, vehicle driving trace, traffic element.
6. automatic Pilot evaluating method according to any one of claims 1-4, which is characterized in that the vehicle operating behavior packet
Include wheel steering degree, braking strength, Throttle Opening Control amount and operating time.
7. a kind of automatic Pilot evaluating apparatus characterized by comprising
First obtains module, for obtaining the first contextual data and the first vehicle operating behavior of automatic Pilot；
First determining module, for determining automatic Pilot scene according to first contextual data, and according to first vehicle
Operation behavior generates automatic Pilot statistical data；
Evaluation and test module, for basis pilot steering statistical data corresponding with the automatic Pilot scene, to the automatic Pilot
Statistical data is evaluated and tested, and evaluation result is generated.
8. automatic Pilot evaluating apparatus as claimed in claim 7, which is characterized in that further include:
Second obtains module, for obtaining the second contextual data and the second vehicle operating behavior of pilot steering；
Second determining module, for determining pilot steering scene according to second contextual data, and according to second vehicle
Operation behavior generates pilot steering statistical data, wherein the pilot steering scene and the automatic Pilot scene one are a pair of
It answers.
9. automatic Pilot evaluating apparatus as claimed in claim 7, which is characterized in that the evaluation and test module is specifically used for:
Obtain the positive sample of the pilot steering statistical data and the first difference of the automatic Pilot statistical data；
When first difference is greater than preset threshold, alarm prompt is generated.
10. automatic Pilot evaluating apparatus as claimed in claim 7, which is characterized in that the evaluation and test module is specifically used for:
Obtain the negative sample of the pilot steering statistical data and the second difference of the automatic Pilot statistical data；
When second difference is less than preset threshold, alarm prompt is generated.
11. a kind of computer equipment, which is characterized in that including processor and memory；
Wherein, the processor is run by reading the executable program code stored in the memory can be performed with described
The corresponding program of program code, for realizing automatic Pilot evaluating method such as of any of claims 1-6.
12. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, which is characterized in that the program
Such as automatic Pilot evaluating method of any of claims 1-6 is realized when being executed by processor.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811504275.3A CN109710658A (en) | 2018-12-10 | 2018-12-10 | Automatic Pilot evaluating method, device and equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811504275.3A CN109710658A (en) | 2018-12-10 | 2018-12-10 | Automatic Pilot evaluating method, device and equipment |
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