CN110083142A - A kind of test carriage control method for intelligent network connection vehicle test - Google Patents
A kind of test carriage control method for intelligent network connection vehicle test Download PDFInfo
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- CN110083142A CN110083142A CN201910356931.8A CN201910356931A CN110083142A CN 110083142 A CN110083142 A CN 110083142A CN 201910356931 A CN201910356931 A CN 201910356931A CN 110083142 A CN110083142 A CN 110083142A
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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
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Abstract
The invention discloses a kind of test carriage control methods for intelligent network connection vehicle test, which comprises step 1, presets traffic scene；Step 2, traffic object model and its affiliated population and mood are determined；Step 3, behavior pattern is generated；Behavior pattern is divided into normal mode and incentive mode；Under incentive mode, which is divided into the first reaction, the second reaction and third reaction by the reaction made after external drive in traffic scene；If behavior pattern is incentive mode, a random number range is generated, which will move according to the matched behavior pattern of reaction corresponding to the probability fallen into random range；Step 4, external drive has been monitored whether, if so, then entering incentive mode, otherwise, into normal mode.Test platform of the invention, which can convert, participates in object and environment, provides convenience condition to test the simulation of any traffic scene, realizes low cost, is free from risk, the test function of more traffic objects and more scenes.
Description
Technical field
The present invention relates to intelligent vehicle checkout area technical field, in particular to a kind of test carriage for intelligent network connection vehicle test
Control method.
Background technique
In recent years, automobile and artificial intelligence have been increasingly becoming one of the problem of industry is most paid close attention to educational circles.Join in intelligent network
Technical aspect, whole system have tended to be perfect, and have theories integration, also there is practical engineering application.(full name in English is however, ICV
"Intelligent and Connected Vehicles"；Chinese name be " intelligent network connection automobile ") testing field research
Relatively fewer, system is also incomplete, there is no monolithic standard at present.For the vehicles, safety eternal first
Position.The intelligent network of each automatic Pilot joins automobile, from developing to putting it into commercial operation, needs to undergo a large amount of test, and these are surveyed
Examination can substantially be divided into emulation testing and two kinds of real steering vectors.
At present there are mainly two types of ICV real steering vectors mechanism on the market, one is closing field tests, and another kind is true
Road conditions test.But closing place testing cost is high, analog form is simple and crude, reference value is small；Although and true road conditions are tested
It is more true, but it is easy that accidents happened, security risk is high, and by legal restriction.Therefore, there is presently no a kind of not only meet demand but also
Safe and reliable testing mechanism.
Thus, it is desirable to have a kind of technical solution come overcome or at least mitigate in the drawbacks described above of the prior art at least one
It is a.
Summary of the invention
The purpose of the present invention is to provide a kind of intelligent network connection omnipotent test platforms of vehicle to overcome or at least mitigate existing skill
At least one of drawbacks described above of art.
To achieve the above object, the present invention provides a kind of test carriage control method for intelligent network connection vehicle test, described
Test carriage control method simulates the behavior pattern of traffic object model by motion profile dimension and consciousness reaction dimension, described
Method includes: step 1, presets traffic scene；Step 2, the traffic scene preset according to the step 1, needed for determining
Traffic object model and its affiliated population and mood；Step 3, the traffic object mould determined according to the step 2
Type and its affiliated population and mood generate the behavior pattern that the traffic object model is in the traffic scene；Its
In: the behavior pattern is divided into normal mode and incentive mode；Under the normal mode, which has in institute
It states the conventional consciousness in traffic scene and realizes the behavior pattern to match with the routine；Under the incentive mode, the traffic
Object model in the traffic scene by external drive after the reaction made to be divided into the first reaction, the second reaction and third anti-
Answer, each reaction have matched behavior pattern, it is described first reaction probability P i1, second reaction probability P i2 and
The probability P of third reaction i3's and is determined by the population of the external drive and the default traffic scene for 1, i；If described
Behavior pattern is the incentive mode, then also generates a random number range, the traffic object model will according to fall into it is described with
The matched behavior pattern of reaction corresponding to probability within the scope of machine is moved, and the behavior pattern includes route and route
Each upper corresponding speed of point and period；Step 4, external drive has been monitored whether, if so, then entering the excited modes
Formula, otherwise, into the normal mode.
Further, before the step 1 further include: step 5, the population presets are as follows: the mankind, non-motor vehicle,
Pet, poultry and livestock, the mood are preset are as follows: and it is slow, normal and active, by the population pre-set and the heart
Feelings are built into traffic object library, in the traffic object library: the difference of the population shows as curve shape difference, the heart
The difference of feelings shows as amplitude difference.
Further, velocity mode is determined according to population and mood, specifically included: with the slowly corresponding velocity mode
It is middle fast mode with the normal corresponding velocity mode for low-speed mode, enlivens corresponding velocity mode with described as high speed
Mode.
Further, the acquisition methods of " speed in the behavior pattern " in step 3 include: step 31, according to this
Population belonging to traffic object model determines speed corresponding to the velocity mode of the traffic object model, in which: described
Velocity mode is determined according to the rate profile of the abstract obtained each population of the document of bionics and traffic behavior, institute
Stating rate profile includes the low-speed mode, the middle fast mode and the high-speed mode；Step 32, the step 31 is true
Fixed speed is converted into rate and the direction at each moment, and calculate the full ground anthropomorphic robot revolver and right wheel it is respective
Angular speed, reconvert becomes hexadecimal data library, to construct the control object library of the full ground anthropomorphic robot.
Further, in the step 3, which is arranged on full ground anthropomorphic robot by support stand,
The full ground anthropomorphic robot is moved according to each corresponding speed of point on the route and route in the behavior pattern,
The traffic object model includes the adjustable image model of height and animal model, in which: a left side for the adjustable image model of height
Right shoulder joint, left and right knee joint carry out cyclic activity according to the period in the behavior pattern, to simulate pedestrian's gait；It is described
The extremities joint of animal model carries out carry out cyclic activity according to the period in the behavior pattern, to simulate animal gait.
Further, in the step 3, " speed " in the behavior pattern of the traffic object model is according to population and its heart
Feelings switch over；" route " in the behavior pattern of the traffic object model is according to the motion profile and rate curve of the population
Figure determines that " period " in the behavior pattern of the traffic object model determines according to the motion feature and mood of the population.
Further, " according to the population and its mood, generating the traffic object model and being in default friendship in step 3
The behavior pattern of logical scene " specifically includes: under the normal mode, by population and mood belonging to the traffic object model and
Its corresponding behavior pattern matches with the default traffic scene；Under the incentive mode, by the traffic object model
The population of category and mood and its corresponding behavior pattern match with the default traffic scene and external drive.
Further, in the step 3, under the incentive mode, the default traffic scene is the traffic object mould
Type goes across the road when meeting with laterally to come vehicle, and first reaction is accelerates to be by and with slight turning, second reaction
It stops until vehicle passes through, the third reaction is to step back to guarantee safety.
Test platform provided by the invention by means of full landform robot simulation traffic object, is handed over initiating formula by imitating
The motion profile and consciousness of behavior of logical object restore traffic scene to be tested.According to the needs of test, the present embodiment provides
Test platform can convert and participate in object and environment, provide convenience condition to test the simulation of any traffic scene, it is real
Low cost is showed, has been free from risk, the test function of more traffic objects and more scenes.
Detailed description of the invention
Fig. 1-1 is the schematic diagram of the intelligent network connection omnipotent test platform of vehicle provided in an embodiment of the present invention；
Fig. 1-2 is the test mode schematic diagram of the connection omnipotent test platform of vehicle of intelligent network shown in Fig. 1-1；
Fig. 1-3 is the schematic diagram of the traffic scene in the connection omnipotent test platform of vehicle of intelligent network shown in Fig. 1-1；
Fig. 2-1 is the schematic diagram of Communication topology in the connection omnipotent test platform of vehicle of intelligent network shown in Fig. 1-1；
Fig. 3-1 is that the structure of the traffic object simulator provided in an embodiment of the present invention for intelligent network connection vehicle test is shown
It is intended to；
Fig. 3-2 is the side schematic view of traffic object simulator shown in Fig. 3-1；
Fig. 3-3 is the structural schematic diagram of another embodiment of traffic object simulator provided by the invention；
Fig. 3-4 is the structural schematic diagram of the first traffic object attitude-adjusting system shown in Fig. 3-1；
Fig. 3-5 is the side schematic view of support stand in traffic object simulator shown in Fig. 3-1；
Fig. 3-6 is the top view of support stand shown in Fig. 3-5；
Fig. 3-7 is connection schematic diagram between the adjustable image model of support stand and height shown in Fig. 3-5；
Fig. 4-1 is the process signal of the test carriage control method provided in an embodiment of the present invention for intelligent network connection vehicle test
Figure；
The movement locus schematic diagram for the bicycle that Fig. 4-2 is；
Fig. 4-3 and Fig. 4-4 is the component velocity of the X-direction of the bicycle shown in Fig. 4-2, the signal of the component velocity of Y-direction respectively
Figure；
Fig. 4-5 is the movement locus schematic diagram of young people；
Fig. 4-6 is the movement locus schematic diagram of a middle-aged person；
Fig. 4-7 is reaction schematic diagram when people walks road；
Fig. 4-8 is reaction schematic diagram when cat walks road.
Specific embodiment
In the accompanying drawings, same or similar element is indicated using same or similar label or there is same or like function
Element.The embodiment of the present invention is described in detail with reference to the accompanying drawing.
Present invention machine to be utilized imitates three kinds of traffic objects, and the complex road condition being likely to occur is restored in real roads,
Test reply of the intelligent vehicle under complex environment.As Figure 1-1, intelligent network provided by the present embodiment joins the omnipotent test of vehicle
Platform includes tested vechicle 10, traffic object simulator, Communication topology and motion control unit.It below will be to each portion
Divide and carries out expansion explanation.
Tested vechicle 10 is disposed in traffic scene, and the traffic scene is built by multiple sliceable units, is passed through
Traffic scene is used to restore the environment of real roads as test site.As shown in Figure 1-3, A and B are different in Fig. 3
Sliceable unit, A indicate ordinary road, B indicate crossing roadside.Building for traffic scene is intended to restore true road conditions environment,
Take the thought for being similar to happy high building blocks that all traffic scene discretizations are become sliceable module, such testing requirement
Scene what is, which type of scene the present embodiment can build, and module recycling substantially reduces checkout area land occupation
Area has saved resource.These traffic scenes can be abstracted into the combination of some individual modules: common roadside, crossing roadside and
Traffic lights.The present embodiment carries out unit production using EPE pearl wool plate, PP rigid plastic sheets and rubber road shoulder.
Test carriage control method provided in this embodiment for intelligent network connection vehicle test by motion profile dimension and
Consciousness reacts two dimensions of dimension to simulate the behavior pattern of traffic object model.
According to the classification in road traffic, the participation object in real traffic can substantially be divided into: motor vehicle, non-maneuver
Vehicle, row humans and animals (such as: cat, dog etc.), in consideration of it, the population of traffic object to be simulated is divided into 6 classes: people by the present embodiment
Class, non-motor vehicle, pet, poultry and livestock.Below with reference to the kind heap sort of traffic object, to the simulation of motion profile dimension and
The principle of consciousness reaction dimension simulation is described in detail.
(1) about motion profile dimension
The emulation of motion profile dimension includes speed, route and period.Those of ordinary skill in the art are knowable: no matter
Which kind of population, movement is all not simple uniform motion, is periodically moved, and the period depends on the movement of population
Feature.Such as: for pedestrian, the movement of arm constitutes a period of motion；For dog, movement can by the period
To be defined as the time that two half soles contact to earth.That is, the difference of population essentially consists in the length in period, the sequence of movement
And course bearing in the period etc..According to the pertinent literature of many bionics and traffic behavior, a series of populations have been taken out
Motion profile and rate profile.The data of certain populations are inconvenient to acquire, therefore current embodiment require that using real-time people
Class or the sampled data of animal.
Simultaneously, it is clear that different populations has different speed, can be according to mood, age, body same population
Situations such as situation, switches different movement rates.The present embodiment stresses the classification of mood, and " mood " refers mainly to fast in the period
The variation of rate.Under study for action, mood is divided into three classes: sluggish (slow), average (normal) and restive (active),
Respectively correspond low rate, medium-rate and high-speed.By two dimensions of population and mood, the present invention can preferably will be any
One traffic object model corresponds in corresponding characteristic.For example, corresponding with old man is (people, slowly), it is corresponding with young man
Be (people, active), corresponding with wildcat is (pet, active), and corresponding with common dog is (pet, normal).
(2) emulation about consciousness reaction dimension
In view of the consciousness of traffic object, they should can make corresponding reaction when by extrinsic motivated.It is different
Object reaction it is different.For going across the road, when certain object cross street meet with laterally carry out vehicle when, have following three kinds of tables
It is existing: 1) to accelerate to pass through, and with slight turning；2) it stops until vehicle passes through；3) it steps back to guarantee safety.It is sent out by investigation
2) and reaction 3) existing: the mankind are more likely to make, and pet tends to accelerate to pass through.
It should be noted that reaction is not a definite event, it is a probability distribution on the contrary, therefore realize
Difference is not reflected in reply itself, but divides the difference less than the probability in various actions.It, may 80 people in 100 people
It can select to wait vehicles mistake, vehicle mistake is robbed in 20 personal choices；And in 100 cats, 20 selections wait vehicles mistake, and vehicle mistake is robbed in 80 selections.For
One people of monomer and a cat, it is possible to they can make same reaction in outer plus stimulation, but when test sample tends to
When infinite, otherness will show obvious.
In terms of code, the present invention also describes the difference of this consciousness dimension using probability.Point from population to population
Cloth difference is very big, is slightly different from mood to mood.Logical object model judgement is built for single, the present invention generates one at random
Number adjusts the threshold value of judgement to judge to change different reaction patterns.For entire complete series of acts, the present invention makes
It is realized with decision tree, and program is by continuous service, until outside stimulus disappears.
In view of above-mentioned principle, as shown in Fig. 4-1, the test carriage control provided in this embodiment for intelligent network connection vehicle test
Method includes:
Step 1, traffic scene is preset.Wherein: traffic scene such as can be the people's vehicle that goes across the road cross, people's vehicle of overtaking other vehicles in the same direction
It crosses, turn to people's vehicle and the traffic scenes such as cross.
Step 2, the traffic scene preset according to the step 1 determines required traffic object model and its institute
The population of category and mood.
Step 3, the traffic object model and its affiliated population and mood determined according to the step 2, generates
The traffic object model is in the behavior pattern in the traffic scene.
The behavior pattern is divided into normal mode and incentive mode.
Under the normal mode, the traffic object model have conventional consciousness in the default traffic scene and with
The routine realizes the behavior pattern to match；Under the incentive mode, the traffic object model is in the default traffic scene
In by the reaction made after external drive be divided into the first reaction, second reaction and third reaction, it is described first reaction probability
Pi1, second reaction probability P i2 and third reaction probability P i3's and for 1, i by the external drive and the default friendship
The population of logical scene determines.
If the behavior pattern is the incentive mode, a random number range, the traffic object model are also generated
It will be moved according to the matched behavior pattern of reaction corresponding to the probability fallen into the random range, the behavior pattern
Including each corresponding speed of point and period on route and route.Wherein: in the behavior pattern of the traffic object model
" speed " is switched over according to population and its mood." route " in the behavior pattern of the traffic object model is according to the population
Motion profile and rate profile determine that the acquisition methods of the motion profile of population are literature survey and sampling in kind, fortune
Dynamic rail mark determines the direction of motion of full ground anthropomorphic robot 1, and the rate that rate profile obtains determines to exist in full ground anthropomorphic robot 1
Motion profile says the movement velocity on determining direction." period " in the behavior pattern of the traffic object model is according to described kind
The motion feature and mood of group determines that the period determines left and right shoulder joint, left and right knee joint or the animal of the adjustable image model 3 of height
The time span of extremities joint one circulation of activity of model 4.
Step 4, external drive has been monitored whether, if so, then entering the incentive mode, otherwise, into the routine
Mode.
In one embodiment, before step 1 further include:
Step 5, the population setting are as follows: the mankind, non-motor vehicle, pet, poultry and livestock, the mood setting are as follows: slow
Slowly, normally and active.The population and mood are built into traffic object library, in the traffic object library: the population
Difference shows as curve shape difference, and the difference of the mood shows as amplitude difference.Wherein, traffic object library can join
Following table 1 (being only for example in table, not all classification) is examined, velocity mode is determined according to population and mood, is specifically included:
It is low-speed mode with the slowly corresponding velocity mode, it is all that the numerical values recited of the low speed can be understood as original period of motion
Velocity amplitude is multiplied by the numerical value after 0.8.It is middle fast mode with the normal corresponding velocity mode, the numerical values recited of the middling speed can
To be interpreted as all velocity amplitudes of original period of motion.With it is described enliven corresponding velocity mode be high-speed mode, the number of the high speed
Value size can be understood as all velocity amplitudes of original period of motion multiplied by the numerical value after 1.25.
Table 1
| Slowly | Normally | It is active | |
| People | Old man, disabled person | A middle-aged person | Young man |
| Bicycle | Pedicab | Ordinary bicycle | Mountain bike |
| Electric vehicle | Short of electricity electric vehicle | Common electric vehicle | Take out electric vehicle |
| Cat and dog | Young cat | The dog of domestication | Wildcat |
| Birds | / | Goose | / |
| Livestock | Ox | Sheep | Deer |
There are two types of the substantially methods for establishing above-mentioned library of object, and one is true 3D samplings, i.e., artificially dresses sampled point, utilizes
Acquisition technique capturing motion establishes model, and the model being built such that is more accurate, however is limited to time and technical equipment, this
Invention can not reach the method；Second method is literature survey, in existing document, especially in Human biology and friendship
Such quantity of document is more in logical kinematics.In addition, some object data are less, such as most of animal.For this
A little traffic objects, the present invention take the mode of video collect and hand drawn curve.In the collection and calibration of the data of completion
Afterwards, the present invention establishes corresponding program library and reappears its movement.
In one embodiment, in step 3, which is arranged by support stand 2 in full ground anthropomorphic robot 1
On, full ground anthropomorphic robot 1 is moved according to each corresponding speed of point on the route and route in the behavior pattern,
The traffic object model includes the adjustable image model 3 of height and animal model 4, in which: the left and right of height is adjustable image model 3
Shoulder joint, left and right knee joint carry out cyclic activity according to the period in the behavior pattern, to simulate pedestrian's gait.Animal mould
The extremities joint of type 4 carries out carry out cyclic activity according to the period in the behavior pattern, to simulate animal gait.
In one embodiment, the acquisition methods of " speed in the behavior pattern " in step 3 include:
Step 31, the population according to belonging to the traffic object model determines the velocity mode of the traffic object model
Corresponding speed, in which: the velocity mode is according to abstract each described kind obtained of the document of bionics and traffic behavior
The rate profile of group determines that the rate profile includes the low-speed mode, the middle fast mode and the high speed mould
Formula.According to the document of bionics and traffic behavior, the motion profile and rate profile (such as Fig. 4-2 of each population are taken out
The motion profile of the bicycle shown, Fig. 4-3 and Fig. 4-4 are the component velocity of the X-direction of the bicycle shown in Fig. 4-2, Y respectively
The component velocity in direction, Fig. 4-5 show that the motion profile of young people, Fig. 4-6 show the motion profile of a middle-aged person).
Step 32, the speed that the step 31 determines is converted to rate and the direction at each moment, and calculated entirely
The revolver and the respective angular speed of right wheel of anthropomorphic robot 1, reconvert becomes hexadecimal data library, to construct full ground anthropomorphic robot
1 control object library.
In one embodiment, " according to the population and its mood, generating the traffic object model and being in step 3
The behavior pattern of default traffic scene " specifically includes: under the normal mode, by population belonging to the traffic object model and
Mood and its corresponding behavior pattern match with the default traffic scene；Under the incentive mode, by the traffic object
Population belonging to model and mood and its corresponding behavior pattern match with the default traffic scene and external drive.
As shown in Fig. 4-7 and Fig. 4-8, the people (human) shown in Fig. 4-7 walks reaction when road, the cat shown in Fig. 4-8
(cat) reaction when road is walked, in one embodiment, in step 2, under the incentive mode, the default traffic field
Scape is that the traffic object model goes across the road when meeting with laterally to come vehicle, and first reaction is accelerates to turn by and with slight
Curved, to stop until vehicle passes through, the third reaction is to step back to guarantee safety for second reaction.
Traffic object mould as shown in Fig. 3-1 to Fig. 3-7, provided by the embodiment of the present invention for intelligent network connection vehicle test
Quasi- device includes traffic object model, full ground anthropomorphic robot 1, support stand 2, the first traffic object attitude-adjusting system 5 and
Two traffic object attitude-adjusting systems 6, in which:
Traffic object model branch is located at the top of support stand 2, and traffic object model is divided into 6 classes: people by the present embodiment
Class, non-motor vehicle, pet, poultry and livestock, therefore, traffic object model can be understood as generally comprising the adjustable image mould of height
Type 3 and animal model 4, height is adjustable, and image model 3 is used to imitate the pedestrian in above-mentioned classification, and animal model 4 is for imitating
State pet, poultry and the livestock in classification.The traffic object of other classifications can be according to the analog form class that the present embodiment provides
Seemingly, therefore not reinflated description.
In one embodiment, the adjustable image model 3 of height divides for head, trunk, arm hand and legs and feet portion, trunk
It is not two relatively independent parts with leg part.Retractable rod between trunk and legs and feet portion by being vertically arranged
It is attached, the stretching motion up and down of the retractable rod can adjust the adjustable image model 3 of height in default adjusting range
Height.It is distributed according to the height of Chinese people, i.e. data documented by GB10000-88, the height ranges of Chinese are
1620 ± 150 millimeters, that is to say, that on the basis of 1620 millimeters, maximal regulated amount is 150 millimeters straight up, straight down
Maximal regulated amount is 150 millimeters.
In the present embodiment, retractable rod is using hydraulic telescopic rod.Height simulation has as follows in practical applications
Some advantages:
1. improving the applicability of the adjustable image model 3 of height, can be coped with by a kind of adjustable image model 3 of height big absolutely
Most scenes, and can be adjusted according to the average height feature of different regions crowd.
2. hydraulic operation mode is simple, it is automatic during the test by motor that future can also introduce electronics panel control system
Convert height.
3. saving the trouble of the frequently replacement adjustable image model 3 of height, the purchase of the adjustable image model 3 of height can also be reduced
Amount reduces manpower and material resources cost.
For full ground anthropomorphic robot 1 using the full ground Autolabor Pro anthropomorphic robot, motion control principle is to industry control
Machine inputs a hexadecimal number, the different amount of the not collocated control in these numbers, thus substantially only need constantly to
It inputs hexadecimal number, can real-time update its motion state.Herein, "front", "rear" is with full ground anthropomorphic robot 1
Longitudinal driving direction determines that direction of advance is " preceding ", otherwise is " rear "."left", "right" is then with the transverse direction of full ground anthropomorphic robot 1
It is determined." vertical " can be understood as " short transverse " or " gravity direction ".
Autolabor is based on ROS system development, and on full ground, the top of anthropomorphic robot 1, is mounted with differential GPS, in vehicle body
Can be with its geographical position coordinates of real-time update in industrial personal computer, and the embodiment of the present invention is corresponding in the Calling of host computer
Data can be used as the input quantity of motion control.Following table shows the control protocol to full ground anthropomorphic robot.
The embodiment of the present invention converts each for the rate profile of the people abstracted before, animal, non-motor vehicle
The rate at moment and direction, then calculate the angular speed of revolver and right wheel respectively, and reconvert becomes a hexadecimal number library, builds
The hardware controls library of object of the vertical embodiment of the present invention.
It is simulated under reality scene for true to natureization, the shape and its motion characteristic of row humans and animals, the embodiment of the present invention is passed through
Analysis and Practical adjustment devise three sets of innovationization repackings for Autolabor, first is that borrowing the natural revolute pair of wheel hub designs machine
Tool structure pushes legs and feet portion and the arm hand periodic oscillations of the adjustable image model 3 of height, to simulate human-like gait；Second is that building negative
Carrying platform, which installs the variable adjustable image model 3 of joint height additional, simulates the different pedestrian of height, posture；Third is that by detachable outer
Plate and four limbs revolute pair simulation animal are run posture, are realized " complete with a generation ", i.e., are simulated by a full ground anthropomorphic robot 1 all kinds of
The object being likely to occur on real road.Each single item is designed, the embodiment of the present invention establishes design standard by inspection information
Then, it establishes mechanical model to important stress point to consider, it is ensured that final design is met the requirements.The present embodiment passes through setting height
Adjustable image model 3, the full ground anthropomorphic robot 1 of the embodiment of the present invention can simulate the adult of different postures, all ages and classes, in conjunction with
Speed adjustment algorithm, can in true simulation reality all kinds of pedestrians gait.
" the legs and feet portion for high adjustable image model 3 of leaving and the periodic oscillations of arm hand " mainly benefit in the embodiment of the present invention
It is achieved with the mechanical transmission structure that following example provides.
Placement location of the image model 3 adjustable for height on full ground anthropomorphic robot 1, the embodiment of the present invention is by means of branch
Rack 2 is supportted, to provide bearing to the adjustable image model 3 of height.Support stand 2 selects aluminum profile as material is built, mainly original
Because having:
1. be equipped with a monolith rectangle aluminum profile at the top of full ground anthropomorphic robot 1, can by T-nut and corner fittings with it is additional
Aluminum profile perfection engagement.
2. aluminum profile installing and dismounting is quick, size flexible adjustment, can in reply project needles of various sizes fine tuning.
3. the density of aluminium only about 2.7g/cm3, quality is lighter than steel under same volume, and tensile strength is greater than 160MPa, bends
Intensity is taken greater than 110MPa, intensity, which can be competent at, undertakes load.
4. aluminium has good corrosion resistance, outdoor rainy environment can be well coped with.
Shown in Fig. 3-1, Fig. 3-5 and Fig. 3-6,2 vertical section of support stand is in zigzag, and bending part is right angle.Supporting table
Frame 2 has L-type connection frame 21 and external platform assembly 22, in which:
The quantity of L-type connection frame 21 is two, and longitudinal front-rear direction along full ground anthropomorphic robot 1 is arranged apart, and one end connects
The vehicle-mounted crossbeam 23 on 1 top surface of full ground anthropomorphic robot is connect, the other end connects the front and back end of external 22 inside of platform assembly.L-type connects
A daughter board for connecing frame 21 is horizontally fixedly attached on full ground anthropomorphic robot 1, another daughter board of L-type connection frame 21 is vertically
The side setting of anthropomorphic robot 1 closely completely, and it is fixedly attached to external platform assembly 22.Certainly, this mode ratio connects L-type
It connects frame 21 and is fabricated to a plate body structure and more save weight, and then be conducive to mitigate the load of full ground anthropomorphic robot 1.
External platform assembly 22 includes platform panel 221, and 221 inside of platform panel is connected to L-type by way of reinforcement
The lower end of another daughter board of connection frame 21, and platform panel 221 stretches out in the horizontal direction along the outside of full ground anthropomorphic robot 1,
And the underrun universal wheel 7 of extension end contacts ground.By the way that universal wheel 7 is arranged, the normal of full ground anthropomorphic robot 1 both can guarantee
It is mobile, and important ground holding power can be provided in the platform other end via universal wheel 7, share the curved of L-type aluminum profile upper end
Square largely reduces the amount of deflection of platform panel 221.
In one embodiment, external platform assembly 22 further includes bearing support, which is in inverted U type, specific to wrap
It includes: perpendicular to the front column 222 and rear column 223 of 221 upper surface of platform panel, wherein front column 222 and rear column 223 divide
Front side, rear side not along the longitudinally spaced upper surface for being arranged in platform panel 221 of full ground anthropomorphic robot 1.222 He of front column
The top of rear column 223 is linked into an integrated entity by platform beams 224 and support beam 225 vertically arranged apart.Height can
The two legs of idol of transferring person model 3 are located at the left and right sides of platform beams 224, ride in support beam 225, support beam
225 can provide upward support force at the pelvis for the adjustable image model 3 of height.In order to guarantee the hand of the adjustable image model 3 of height
There are enough spaces with foot, it is desirable that its leg does not contact directly with the upper surface of platform panel 221, and therefore, height is adjustable
The instep of image model 3 is located at the top of platform panel 221, has vertical gap with platform panel 221.It is shown from Fig. 3-6
Support stand 2 top view it can be seen that corresponding to traffic object model right above the position X on platform panel 221
Locating space.In conjunction with shown in Fig. 3-1 and Fig. 3-7,225 top surface of support beam is provided with the first attitude bar 226 and second
Attitude bar 227, the first attitude bar 226 are located at the front of the trunk of the adjustable image model 3 of height, prevent height adjustable
Image model 3 is toppled over forward；Second attitude bar 227 is located at the rear of the trunk of the adjustable image model 3 of height, prevents body
High adjustable image model 3 is toppled over forward.Therefore, by the first attitude bar 226 and the second attitude bar 227, can make
The trunk of height is adjustable image model 3 remains upright state when pedestrian's walking.
First traffic object attitude-adjusting system 5 is located on connecting plate 21, the connection of the first traffic object attitude-adjusting system 5
The left and right shoulder joint of height is adjustable image model 3, left and right knee joint, left and right shoulder joint, left and right to the adjustable image model 3 of height
Knee joint applies external force, and the left and right shoulder joint of the adjustable image model 3 of height, left and right knee joint is pushed to carry out cyclic activity, mould
People's gait is planned to implement, pedestrian's gait includes the reciprocating motion of people's coordination that hand and leg carry out when walking, the reciprocating motion
Feature includes the period moved back and forth and amplitude.Realize the movement for ensuring the personification in 1 test process of full ground anthropomorphic robot
Validity is highly important: under true environment, when pedestrian's swing arm step, hand and foot lead over body position, this posture has very much
It may be captured and be utilized by the unmanned algorithm in part, its accuracy and robustness be improved, if full ground anthropomorphic robot 1 does not have
This standby feature then will lead to test result misalignment.
In one embodiment, in conjunction with shown in Fig. 3-1 and Fig. 3-4, the first traffic object attitude-adjusting system 5 includes motor
51, worm screw 52, sliding block 54 and U-shaped support construction 55, in which:
Motor 51 is stepper motor, is powered by outer load power supply (not shown), and the revolving speed of motor 51 controls the pedestrian
The period of the reciprocating motion of people's coordination that hand and leg carry out when walking in gait.52 both ends of worm screw are mounted on company by bearing
On bracket 53 on fishplate bar 21, and one end is drivingly connected the power output end of motor 51.Sliding block 54 is sleeved on worm screw 52, sliding block
54 move distance controls the amplitude of the reciprocating motion of people's coordination that hand and leg carry out when walking in pedestrian's gait.Sliding block
54 are connect by U-shaped support construction 55 with the left and right shoulder joint of the adjustable image model 3 of height, left and right knee joint respectively, control institute
State left and right shoulder joint, left and right knee joint carries out cyclic activity.Label 3 in Fig. 3-4 can be illustrated as the adjustable image mould of height
The left and right shoulder joint of type 3, left and right knee joint.U-shaped support construction 55 passes through clamping part for the right and left shoulders of the adjustable image model 3 of height
Joint, left and right knee joint grip.So, the first traffic object attitude-adjusting system 5 controls the adjustable image model 3 of height
When left and right shoulder joint, left and right knee joint carry out cyclic activity, firstly, the operating distance of the revolving speed of setting motor 51, sliding block 54
With initial motion position and fixation；Then, motor 51 is powered, and worm screw 52 rotates, and sliding block 54 starts to translate, U-shaped support construction 55
Also it is translated with sliding block 54, to push the left and right shoulder joint of the adjustable image model 3 of height, left and right knee joint setting in motion.More than
In step, revolving speed controls period, operating distance span of control limit of control.
Electric energy is provided for stepper motor using outer load power supply, pushes sliding block to realize linear motion by worm screw, passes through control
Device compiles motor and realizes rotating forward reversion, adjusts motor speed by governor, and then regulate and control the frequency of sliding block round trip.Cause
This, the embodiment of the present invention, which is successfully constructed, realizes the prismatic pair moved back and forth with certain frequency, is subsequently that design motivation passes
Route is passed, in order to minimize mechanical complications and design complexities, the embodiment of the present invention is using cord and the adjustable image mould of height
The hand of type 3 is connected with foot, and the other end is connect with sliding block, and the swing of hand is realized by the pulling force that rope plate is drawn.This
Example structure is simple, is easy to implement, motor independent operation, will not influence the movement of full ground anthropomorphic robot 1 itself, the length of cord
Degree can be according to practical adjustment, while being also easy to adjust hunting frequency.
As shown in Fig. 3-1 and Fig. 3-2, in one embodiment, the first traffic object attitude-adjusting system 5 includes first
Gear 51 ' and second gear 52 ', first gear 51 ' are connected to the wheel hub of 1 side of full ground anthropomorphic robot by fixed mode
On, and according to the vehicle wheel rotation frequency with full ground anthropomorphic robot 1 in default reduction ratio (such as: rotated in a manner of 0.32).
Second gear 52 ' is engaged with first gear 51 ', and the left and right of the adjustable image model 3 of height is connected by jointed gear unit 53 '
Shoulder joint, left and right knee joint control the left and right shoulder joint, left and right knee joint carries out cyclic activity.
Tool is there are four hexangle type nut on the wheel hub of full ground anthropomorphic robot 1, passes through four matched hexagonal sockets and the
One gear 51 ' is fixedly connected with, and drives first gear 51 ' with the rotation of vehicle wheel rotation frequency, second gear 52 ', which engages, passes through connecting rod
Transmission mechanism 53 ' drives mobile secondary motion, final to realize that the left and right shoulder joint for pushing the adjustable image model 3 of height, left and right knee are closed
The movement of section.The present embodiment, which has, can make full use of existing revolute pair, without providing additional power supply, also, frequency and deceleration
Than adjustable, the advantage that can be adjusted according to trick hunting frequency.
As shown in Fig. 3-1 and Fig. 3-3, the second traffic object attitude-adjusting system 6 is located on connecting plate 21, dynamic for controlling
The extremities joint of object model 4 carries out cyclic activity, simulates animal gait, the animal gait includes four of animal when moving
Limb moves back and forth, and the feature of the reciprocating motion includes the period moved back and forth and amplitude.
In one embodiment, the second traffic object attitude-adjusting system 6 include third gear 61 and the second pinion gear 62,
Second connecting rod transmission mechanism 63 and third connecting rod transmission mechanism 64, in which: third gear 61 is connected to by fixed mode and is stated
On the wheel hub of the front side of full ground anthropomorphic robot 1, and according to full ground anthropomorphic robot 1 vehicle wheel rotation frequency (such as: 3.5-4.5) be in
The mode of default reduction ratio is rotated.Second pinion gear 62 is connected to 1 rear side of full ground anthropomorphic robot by fixed mode
On wheel hub, and according to full ground anthropomorphic robot 1 vehicle wheel rotation frequency (such as: 3.5-4.5) in a manner of default reduction ratio into
Row rotation.By controlling the travel speed of full ground anthropomorphic robot 1, the extremities joint of control animal model 4 carries out cyclic activity.
63 one end of second connecting rod transmission mechanism is hinged to the lateral surface of third gear 61, and the other end connects the forelimb joint of animal model 4.
64 one end of third connecting rod transmission mechanism is hinged to the lateral surface of the 4th gear 62, and the hind leg that the other end connects animal model 4 closes
Section.By controlling the travel speed of full ground anthropomorphic robot 1, the extremities joint of control animal model 4 carries out cyclic activity.
Animal imitating is another big characteristic in the project, and the embodiment of the present invention installs animal additional by full ground anthropomorphic robot 1
Outside plate shape simulates the form of real animals, and designs the quadruped locomotion of lever mechanism simulation animal.
As shown, the wheel of full ground anthropomorphic robot 1 is connected with gear, lighter bar mechanism kinematic on band driving wheel, installs movement additional
Pair constraint ensure that the free movement of the mechanism, if it is possible to which limb is run quickly before and after being equipped with additional materials simulation animal on straight-bar
It runs, then effect will be more life-like.
Why the project can gather materials on the spot, and it is additional in addition to connected gear that main cause is that the mechanical mechanism is not needed
Gear, and the revolute pair that can be directly carried using wheel, (and the embodiment of the present invention is then wished in the adjustable simulation of image model 3 of height
Hope the period by revolute pair conversion arm mobile, therefore it is more difficult to convert realization), and connecting rod mechanism movement is light, is also convenient for
Design is realized.The major defect of the program has the motion frequency of animal foot non-adjustable, and the fidelity of simulation of animal outside plate has
Wait consider.
Exactly because lacking a kind of preferably test macro, the embodiment of the present invention wishes to combine two kinds of present modes, whole
It closes advantage and evades defect, design a kind of safety and stability and the true and reliable omnipotent test macro for intelligent network connection automobile, and
The present invention is that test macro is made to measure, simulates resemblance using mechanical structure, realizes talk scene physically
Emulation.
Communication topology as shown in Fig. 1-1, Fig. 1-2 and Fig. 2-1, provided by the present embodiment for intelligent network connection vehicle test
Structure includes vehicle end unit and drive test unit, in which: the vehicle end unit includes onboard control device 9 and vehicle end communication equipment
11, the drive test unit includes terminal communication equipment 12, and onboard control device 9 and vehicle end communication equipment 11 are installed on tested vechicle
10.The track planned is exported to tested vechicle 10 and is obtained from the positioning system of tested vechicle 10 tested by onboard control device 9
Vehicle information.The tested vechicle information includes the speed and location information of tested vechicle 10, and middle control PC8 passes through same local area network or interconnection
Net and at least 1 information exchange of full ground anthropomorphic robot, middle control PC8 from onboard control device 9 acquire the tested vechicle information with
And obtained full ground anthropomorphic robot information is fed back by full ground anthropomorphic robot 1, the full ground anthropomorphic robot information includes full landform machine
The speed and location information of device people 1, it is corresponding that middle control PC8 controls each point on the route and route of full ground anthropomorphic robot 1
The cycle movement of traffic object model in speed and full ground anthropomorphic robot 1.
Communication topology provided in an embodiment of the present invention all organically links together the various pieces in checkout area,
It can not only realize information collection, more can be realized the function of Detection & Controling.
In one embodiment, onboard control device 9 is led to by virtual CAN communication mode and vehicle end communication equipment 11
News.Vehicle end communication uses virtual CAN bus alternate physical bus, and all in-vehicle informations are all actually integrated in a trolley
It carries in control equipment 9.Tested vechicle information is DGPS data by the positioning system of tested vechicle 10, the signal of differential GPS with
Json text formatting is stored to virtual CAN bus, and sends vehicle-mounted control for the DGPS data of Json format using Zeromq
Control equipment 9 then sends data to vehicle end communication equipment 11 with udp agreement.
Vehicle end communication equipment 11 is communicated by udp agreement with terminal communication equipment 12, and the onboard control device 9 will
The tested vechicle information is exported via vehicle end communication equipment 11 to the terminal communication equipment 12, and middle control PC8 is set from terminal communication
The standby 12 acquisition tested vechicle information.The DGPS data obtained before is transmitted to terminal communication and set by vehicle end communication equipment 11
Standby 12.
In one embodiment, middle control PC8 and each full ground anthropomorphic robot 1 are set as Ubuntu master slave mode, and middle control PC8 is set
It is set to Master, each full ground anthropomorphic robot 1 is set as a Servant, and middle control PC8 is based on tcp agreement and is provided with talker journey
Sequence, full ground anthropomorphic robot 1 are based on the tcp agreement and are provided with listener program, pass through starting institute after the ip of Configuration network port
State talker program and listener program, each full ground anthropomorphic robot 1 in real time to middle control PC8 transmission speed and location information, in
It controls PC8 and utilizes ssh Telnet, control each corresponding speed of point on the route and route of full ground anthropomorphic robot 1.
When starting test, firstly, middle control PC8 connection full ground anthropomorphic robot 1, Configuration network port ip, confirmation message transmission
It is smooth；Then, communication test between vehicle end communication equipment 11 and terminal communication equipment 12, it is ensured that middle control PC8 is working properly；Again will
Middle control PC8 is connect with terminal communication equipment 12；It controls tested vechicle 10 to move, tested vechicle information is passed through vehicle by onboard control device 9
End communication equipment 11 is sent to terminal communication equipment 12, and middle control PC8 calls the data in terminal communication equipment 12；Full landform simultaneously
Robot 1 receives the control campaign of middle control PC8, while during full ground anthropomorphic robot 1 feeds back to full ground anthropomorphic robot information
Control PC8；The information integration of tested vechicle 10 and full ground anthropomorphic robot 1 is carried out visualization display by RVIZ by control PC8 in last.
The above process is circulation process, is carried out as long as testing, just constant communication.
The middle control PC8 of the embodiment of the present invention is believed by same local area network or internet with an at least full ground anthropomorphic robot 1
Breath interaction, reason are: the distance between middle control PC8 and full ground anthropomorphic robot 1 are no more than ten meters, and can be taking human as both control
In same local area network, therefore it is connected to the network quite smooth stabilization, and at this point, the bandwidth and cost advantage energy of wifi communication
It enough embodies, while middle control PC8 is receiving end and control terminal, does not interfere with its function remotely controlled using wifi
Energy.In addition, the program is also more succinct than car-mounted terminal many for from size of code.
In one embodiment, the characteristics of motion of all traffic simulation objects can decouple as two parts: movement is special
Property and kinetic characteristic.Acting characteristic refers to the adjoint movement during exercise of traffic simulation object, such as leg when people walks
Swing, swing of arm etc..Acting characteristic is controlled and is simulated by motor and a series of mechanical structures, independently of entirely
Anthropomorphic robot 1 can guarantee the iconicity of test object.And kinetic characteristic refers to traffic simulation object each fortune during exercise
The dynamic changing rule for learning physical quantity, in the project of the embodiment of the present invention, specific is the Velocity-time song of traffic simulation object
Line or displacement-time curve.The embodiment of the present invention controls the speed of full ground anthropomorphic robot 1 by code, so that full landform machine
The kinetic characteristic and traffic simulation object of device people 1 is close or even consistent, so as to substitute actual test object completely.
In consideration of it, middle control PC8 according to the velocity information of the full ground anthropomorphic robot 1 acquired, generate actual speed and
Time corresponding curved line relation, by actual speed curved line relation corresponding with the time and abstract obtained speed and when
Between corresponding curve graph compare, the speed of the full ground anthropomorphic robot 1 is adjusted to corresponding close in the curve graph
Speed.Wherein, " actual speed curved line relation corresponding with the time " is by middle control PC8 according to the full landform acquired
The velocity information of robot 1, at the same a frame data (data that one frame, that is, single is sent) all can having time stamp, to obtain speed
Degree-time relationship can draw speed curve corresponding with the time after export.
In one embodiment, the communication of vehicle end unit is not available local area network, and reason is: more than tens meters
Range can be highly unstable, and connection is easy to disconnect, and the reconnection after disconnecting at least needs the time of second grade, and for traffic road
For condition, vehicle can move ten meters within one second, this be for safety management and accurate monitoring it is fatal, so of the invention
The vehicle end communication equipment 11 of embodiment handles vehicle end communication using DSRC.
Vehicle end communication equipment 11 and terminal communication equipment 12 are all made of DSRC, and use nebula interconnection T-station as
Communication network hardware device.The advantage that the covered range of DSRC tool is wide, delay low (millisecond rank) and volume of transmitted data are little.
As the test platform towards all intelligent networks connection automobile, system should be compatible with vehicle end links all on the market, i.e., no matter should
Tested vechicle 10 using vehicle-mounted DSRC, LTE also or 5G, the embodiment of the present invention have required corresponding data link to prop up
Support.The experiment tested vechicle 10 that the present embodiment uses using vehicle-mounted DSRC communicate, therefore the present embodiment this time System Priority system
What is made is also vehicle-mounted DSRC data communication network.By investigation, the embodiment of the present invention has found the vehicle of domestic some comparative maturities
The famous car-mounted terminal product of mounted terminal equipment supplier and foreign countries.
Test platform provided by the invention has the advantages that five is big: cost, in terms of money, compared with large size closes demonstration area originally
Invention is hardly taken up an area, and realizes a Che Duoyong, and overall process is unmanned, saved a large amount of cost of land and manpower at
This；In terms of time cost, which can call the rare special road conditions for thinking test with the demand moment, reduce test period
It improves efficiency；Entire test process is participated in without true man, no injures and deaths may, while trolley can artificial intervention by force, avoid potential
Accident, visualized monitoring prevents accident；Communication efficiency is high, strong robustness.Bus or train route communication uses Dsrc, is delayed low model
It encloses wide；The control of trolley then uses local principal and subordinate, and information transmission is fast, anti-interference strong.
The platform has five big four big innovative points: having changed research object, has had test macro exploitation in mind；Pass through program and machine
Tool structure realizes the simulation effect of " the more objects of a vehicle ": suitably communicating topological structure for Design of Test System, realizes whole survey
The unification of examination；Utilize two feature reduction library of object of mood and attribute；Simulated object makes corresponding reaction according to traffic.
Finally it is noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations.This
The those of ordinary skill in field is it is understood that be possible to modify the technical solutions described in the foregoing embodiments or right
Part of technical characteristic is equivalently replaced；These are modified or replaceed, and it does not separate the essence of the corresponding technical solution originally
Invent the spirit and scope of each embodiment technical solution.
Claims (8)
1. a kind of test carriage control method for intelligent network connection vehicle test, which is characterized in that its by motion profile dimension and
Consciousness reacts dimension to simulate the behavior pattern of traffic object model, which comprises
Step 1, traffic scene is preset；
Step 2, the traffic scene preset according to the step 1 determines required traffic object model and its affiliated
Population and mood；
Step 3, the traffic object model and its affiliated population and mood determined according to the step 2, generates the friendship
Logical object model is in the behavior pattern in the traffic scene；
Wherein: the behavior pattern is divided into normal mode and incentive mode；
Under the normal mode, which has the conventional consciousness in the traffic scene and routinely anticipates with this
Sensible matched behavior pattern；
Under the incentive mode, the traffic object model in the traffic scene by external drive after the reaction made point
For the first reaction, the second reaction and third reaction, each reaction has matched behavior pattern, first reaction
The probability P of probability P i1, the probability P i2 of the second reaction and third reaction be i3's and be 1, i by the external drive and described default
The population of traffic scene determines；
If the behavior pattern is the incentive mode, a random number range is also generated, which will be by
It is moved according to the matched behavior pattern of reaction corresponding to the probability fallen into the random range, the behavior pattern includes
Each puts corresponding speed and period on route and route；
Step 4, external drive has been monitored whether, if so, then entering the incentive mode, otherwise, into the normal mode.
2. the test carriage control method for intelligent network connection vehicle test as described in claim 1, which is characterized in that the step
Before 1 further include:
Step 5, the population presets are as follows: the mankind, non-motor vehicle, pet, poultry and livestock, the mood are preset
Are as follows: it is slow, normal and active, the population pre-set and mood are built into traffic object library, in the traffic pair
As in library: the difference of the population shows as curve shape difference, and the difference of the mood shows as amplitude difference.
3. the test carriage control method for intelligent network connection vehicle test as claimed in claim 2, which is characterized in that according to population
Velocity mode is determined with mood, is specifically included:
It is low-speed mode with the slowly corresponding velocity mode, is middle fast mode with the normal corresponding velocity mode, with
It is described to enliven corresponding velocity mode as high-speed mode.
4. the test carriage control method for intelligent network connection vehicle test as claimed in claim 3, which is characterized in that in step 3
The acquisition methods of " speed in the behavior pattern " include:
Step 31, the population according to belonging to the traffic object model determines that the velocity mode institute of the traffic object model is right
The speed answered, in which: the velocity mode is according to the abstract obtained each population of the document of bionics and traffic behavior
Rate profile determine, the rate profile include the low-speed mode, the middle fast mode and the high-speed mode；
Step 32, by the step 31 determine speed be converted into rate and the direction at each moment, and calculate it is described entirely
The revolver and the respective angular speed of right wheel of anthropomorphic robot (1), reconvert becomes hexadecimal data library, to construct the full landform
The control object library of robot (1).
5. the test carriage control method according to claim 4 for intelligent network connection vehicle test, which is characterized in that the step
In rapid 3, which is arranged on full ground anthropomorphic robot (1) by support stand (2), the full ground anthropomorphic robot
(1) it is moved according to each corresponding speed of point on the route and route in the behavior pattern, the traffic object
Model includes the adjustable image model (3) of height and animal model (4), in which: the right and left shoulders of the adjustable image model (3) of height
Joint, left and right knee joint carry out cyclic activity according to the period in the behavior pattern, to simulate pedestrian's gait；The animal
The extremities joint of model (4) carries out carry out cyclic activity according to the period in the behavior pattern, to simulate animal gait.
6. the test carriage control method for intelligent network connection vehicle test as claimed in claim 5, which is characterized in that the step
In 3, " speed " in the behavior pattern of the traffic object model is switched over according to population and its mood；The traffic object model
Behavior pattern in " route " according to the motion profile and rate profile of the population determine, the row of the traffic object model
It is determined for " period " in mode according to the motion feature and mood of the population.
7. such as the test carriage control method described in any one of claims 1 to 6 for intelligent network connection vehicle test, feature exists
In " according to the population and its mood, generating the traffic object model and being in the behavior mould for presetting traffic scene in step 3
Formula " specifically includes: under the normal mode, by population and mood belonging to the traffic object model and its corresponding behavior mould
Formula matches with the default traffic scene；Under the incentive mode, by population and mood belonging to the traffic object model
And its corresponding behavior pattern matches with the default traffic scene and external drive.
8. the test carriage control method according to claim 7 for intelligent network connection vehicle test, which is characterized in that the step
In rapid 3, under the incentive mode, the default traffic scene is that the traffic object model goes across the road when meeting with laterally to come vehicle,
First reaction for accelerate by and with slight turning, second reaction is stops until vehicle passes through, described the
Three reactions are to step back to guarantee safety.
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