CN107992016A - A kind of automatic driving vehicle analog detection method - Google Patents

A kind of automatic driving vehicle analog detection method Download PDF

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Publication number
CN107992016A
CN107992016A CN201610947265.1A CN201610947265A CN107992016A CN 107992016 A CN107992016 A CN 107992016A CN 201610947265 A CN201610947265 A CN 201610947265A CN 107992016 A CN107992016 A CN 107992016A
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algorithm
vehicle
unmanned
performance
emulation data
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王璐
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Fafa Automobile China Co ltd
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Faraday Beijing Network Technology Co Ltd
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Priority to CN201610947265.1A priority Critical patent/CN107992016A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric 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
    • G05B23/0221Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)

Abstract

The embodiment of the present invention discloses a kind of automatic driving vehicle analog detection method, including:Simulating scenes are established, generate the emulation data of simulating scenes;Obtain unmanned testing algorithm and the operation result after computing is carried out to the emulation data, the performance of unmanned testing algorithm is determined according to the operation result.The embodiment of the present invention obtains the operation result of unmanned testing algorithm with the performance of definite unmanned testing algorithm by establishing simulating scenes.Realize the simulative automobile testing scheme tested complete automatic Pilot scheme.

Description

A kind of automatic driving vehicle analog detection method
Technical field
The present invention relates to automobile correlative technology field, particularly a kind of automatic driving vehicle analog detection method.
Background technology
In recent years, unmanned correlation technique is got the attention.Due to pilotless automobile when being tested it is past Toward that can face higher danger, hardware reliability, algorithm robustness all can be to automatic for generalization ability of complex environment etc. The final effect for driving algorithm brings very big influence;Simultaneously as including multiple modules in automatic Pilot algorithm, therefore, do not have a Compatibility between module also can bring influence to the actual use of algorithm;In addition, to unmanned under some dangerous scenes Algorithm is tested, and has very big danger, and can largely improve testing cost.Therefore, actual road is being carried out , it is necessary to establish simulator test platform before survey, simulation analysis are carried out to unmanned related algorithm in substantial amounts of test scene, The robustness and generalization ability to complex environment of algorithm are improved, and the compatibility between hardware reliability and disparate modules is carried out Verification.In conclusion the design of pilotless automobile simulator is to carry out the premise of unmanned technical research.
However, inventor has found during invention is realized, some existing simulators are some towards automobile mostly Simple function design carries out, such as automobile power assembly, engine, and auxiliary drives etc., does not support for whole automatic Pilot Scheme carries out emulation testing.
The content of the invention
Based on this, it is necessary to do not support to carry out for whole automatic Pilot scheme for the automobile simulator of the prior art A kind of technical problem of emulation testing, there is provided automatic driving vehicle analog detection method.
The embodiment of the present invention provides a kind of automatic driving vehicle analog detection method, including:
Simulating scenes are established, generate the emulation data of simulating scenes;
Obtain unmanned testing algorithm and the operation result after computing is carried out to the emulation data, according to the computing knot Fruit determines the performance of unmanned testing algorithm.
Further, the unmanned testing algorithm of acquisition carries out the operation result after computing to the emulation data, The performance of unmanned testing algorithm is determined according to the operation result, is specifically included:
Obtain unmanned testing algorithm to carry out the emulation data after computing to the controlled quentity controlled variable of vehicle, by the control Amount input vehicle motion simulator;
Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, using the vehicle Actual travel track determines the performance of the unmanned testing algorithm.
Further, the unmanned testing algorithm includes decision making algorithm, planning algorithm and control algolithm, described to obtain Take unmanned testing algorithm to carry out the operation result after computing to the emulation data, nobody is determined according to the operation result The performance of testing algorithm is driven, is specifically included:
Obstacle information, traffic marking board information and lane line information of the decision making algorithm in emulation data judge vehicle Driving behavior;
Planning algorithm carries out vehicle running path planning according to driving behavior;
Control algolithm is planned according to vehicle running path, the location information and course information of this car, determines that vehicle travels institute The controlled quentity controlled variable needed, vehicle motion simulator is inputted by the controlled quentity controlled variable;
Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, using the vehicle Actual travel track determines the performance of decision making algorithm, planning algorithm and control algolithm.
Further, the unmanned testing algorithm includes perception algorithm or location algorithm, and the acquisition is unmanned Testing algorithm carries out the operation result after computing to the emulation data, determines that unmanned test is calculated according to the operation result The performance of method, specifically includes:
Obtain the sensor raw data produced according to the emulation data;
The sensing results after the perception algorithm handles the sensor raw data are obtained, or described in acquisition Location algorithm the sensor raw data is handled after positioning result;
By the sensing results compared with the emulation data, the property of the perception algorithm is determined according to comparative result Can, or by the positioning result compared with the emulation data, the property of the location algorithm is determined according to comparative result Energy.
Further, it is described to obtain unmanned testing algorithm to the computing knot after the emulation data progress computing Fruit, the performance of unmanned testing algorithm is determined according to the operation result, is specifically included:
At least one controlled quentity controlled variable is inputted to vehicle motion simulator so that at least the one of vehicle motion simulator simulating vehicle A driving states;
Obtain under the driving states, the sensor raw data produced according to the emulation data;
The sensing results after the perception algorithm handles the sensor raw data are obtained, or described in acquisition Location algorithm the sensor raw data is handled after positioning result;
By the sensing results compared with the emulation data, the property of the perception algorithm is determined according to comparative result Can, or by the positioning result compared with the emulation data, the property of the location algorithm is determined according to comparative result Energy.
Further, the unmanned testing algorithm includes decision making algorithm, planning algorithm, control algolithm, perception algorithm Or location algorithm, it is described to obtain unmanned testing algorithm to the operation result after the emulation data progress computing, according to institute The performance that operation result determines unmanned testing algorithm is stated, is specifically included:
Obtain the sensor raw data produced according to the emulation data;
Obtain the sensing results after the unmanned testing algorithm handles the sensor raw data and determine Position result;
The unmanned testing algorithm is obtained to the control after the sensing results and positioning result progress computing to vehicle Amount processed, vehicle motion simulator is inputted by the controlled quentity controlled variable;
Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, using the vehicle Actual travel track determines the performance of the unmanned testing algorithm.
The embodiment of the present invention obtains the operation result of unmanned testing algorithm with definite nothing by establishing simulating scenes People drives the performance of testing algorithm.Realize the simulative automobile testing scheme tested complete automatic Pilot scheme.
Brief description of the drawings
Fig. 1 is a kind of work flow diagram for automatic driving vehicle analog detection method that one embodiment of the invention provides;
Fig. 2 is a kind of work flow diagram for automatic driving vehicle analog detection method that alternative embodiment of the present invention provides;
Fig. 3 provides for alternative embodiment of the present invention realizes that a kind of system of automatic driving vehicle analog detection method system is shown It is intended to;
Fig. 4 is a kind of workflow for automatic driving vehicle analog detection method that another alternative embodiment of the present invention provides Figure;
Fig. 5 provided for another alternative embodiment of the present invention realize a kind of automatic driving vehicle analog detection method system be System schematic diagram;
Fig. 6 is a kind of workflow for automatic driving vehicle analog detection method that yet another alternative embodiment of the present invention provides Figure;
Fig. 7 provided for yet another alternative embodiment of the present invention realize a kind of automatic driving vehicle analog detection method system be System schematic diagram;
Fig. 8 is a kind of apparatus module figure for automatic driving vehicle simulating test device that one embodiment of the invention provides;
Fig. 9 is the hard of the electronic equipment for the execution automatic driving vehicle analog detection method that tenth embodiment of the invention provides Part structure diagram.
Embodiment
The present invention will be further described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment one
A kind of workflow of the automatic driving vehicle analog detection method provided as shown in Figure 1 for one embodiment of the invention Figure, including:
Step S101, establishes simulating scenes, generates the emulation data of simulating scenes;
Step S102, obtains unmanned testing algorithm and carries out the operation result after computing to the emulation data, according to The operation result determines the performance of unmanned testing algorithm.
Wherein, the simulating scenes that step S101 is established can include the information such as road, lane line, traffic mark, pass through Various test scenes are established, automobile is completed the test of road scene as much as possible under simulator, and can carry Status information conduct for all vehicles, means of transportation, pedestrian in scene emulates data.
In step s 102, input value of the unmanned testing algorithm using the emulation data in simulating scenes as algorithm, Then corresponding operation result is obtained by computing, algorithm performance is determined by operation result.
The embodiment of the present invention obtains the operation result of unmanned testing algorithm with definite nothing by establishing simulating scenes People drives the performance of testing algorithm.Realize the simulative automobile testing scheme tested complete automatic Pilot scheme.
Embodiment two
It is illustrated in figure 2 a kind of workflow for automatic driving vehicle analog detection method that alternative embodiment of the present invention provides Cheng Tu, including:
Step S201, establishes simulating scenes, generates the emulation data of simulating scenes.
Step S202, obtains unmanned testing algorithm and the emulation data is carried out after computing to the controlled quentity controlled variable of vehicle, The controlled quentity controlled variable is inputted into vehicle motion simulator.
Specifically, the unmanned testing algorithm includes decision making algorithm, planning algorithm and control algolithm, decision making algorithm root Judge vehicle drive behavior according to obstacle information, traffic marking board information and the lane line information in emulation data;
Planning algorithm carries out vehicle running path planning according to driving behavior;
Control algolithm is planned according to vehicle running path, the location information and course information of this car, determines that vehicle travels institute The controlled quentity controlled variable needed, vehicle motion simulator is inputted by the controlled quentity controlled variable.
Carry out decision-making/planning/control algolithm test when, it is necessary to using this car location information, course information is, it is necessary to make With building in peripheral obstacle vehicle and environment, traffic marking board and lane line information;Decision making algorithm is hindered by surrounding at this time Hinder thing vehicle and environmental information to judge vehicle drive behavior, i.e., whether need lane change to overtake other vehicles, or normally travel, and then, planning is calculated Method carries out vehicle running path planning according to driving behavior, last control algolithm according to the location information and course information of this car, Determine the controlled quentity controlled variable needed for vehicle traveling, and vehicle motion simulator is sent to by simulator input interface.Existed by vehicle Actual travel track in vehicle motion simulator, assesses the performance of decision-making/planning/control algolithm.
Step S203, obtains vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable, adopts The performance of the unmanned testing algorithm is determined with the vehicle actual travel track.
Specifically, vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, is used The vehicle actual travel track determines the performance of decision making algorithm, planning algorithm and control algolithm.
As shown in figure 3, the system schematic of alternative embodiment of the present invention, including simulating scenes module 31, algoritic module 32 With motor racing/dynamics module 33, wherein:
Simulating scenes module 31:Including information such as road, lane line, traffic marks, for establishing various test scenes, make Automobile can complete the test of road scene as much as possible, and be capable of providing all vehicles, means of transportation, pedestrian in scene Status information;
Motor racing/kinetic model 33:Kinematics including automobile, dynamics, suspension, engine, selector etc. Correlation model, ensures that test result has preferable directive significance for true drive test.
The embodiment of the present invention completes decision-making/planning/control algolithm test.When performing step S201, simulating scenes module 31 establish simulating scenes, provide emulation data to algoritic module 32, then algoritic module 32 performs step S202, determines vehicle row Required controlled quentity controlled variable, such as engine throttle, front-wheel steer torque, gear information etc. are sailed, and is sent out controlled quentity controlled variable by input interface The motor racing as vehicle motion simulator/kinetic model 33 is given, by vehicle motion simulator according to the control Vehicle actual travel track determines the performance of the unmanned testing algorithm caused by amount processed.Wherein, motor racing/dynamic Mechanical model 33 may operate in a trolley and carry on industrial personal computer, defeated usually by Ethernet or CAN bus receiving sensor signal Incoming interface includes two kinds of Ethernet interface and CAN interface.
The embodiment of the present invention obtains the operation result of unmanned testing algorithm with definite nothing by establishing simulating scenes People drives the performance of testing algorithm.Realize the simulative automobile testing scheme tested complete automatic Pilot scheme.Specifically Ground, the present embodiment implement the test to decision-making/planning/control algolithm.
Embodiment three
It is illustrated in figure 4 a kind of work for automatic driving vehicle analog detection method that another alternative embodiment of the present invention provides Make flow chart, including:
Step S401, establishes simulating scenes, generates the emulation data of simulating scenes.
Step S402, the unmanned testing algorithm include perception algorithm or location algorithm, obtain according to the emulation The sensor raw data that data are produced.
Specifically, at least one controlled quentity controlled variable is inputted to vehicle motion simulator so that vehicle motion simulator simulating vehicle At least one driving states;
Obtain under the driving states, the sensor raw data produced according to the emulation data.
Step S403, obtains the sensing results after the perception algorithm handles the sensor raw data, or Person obtains the positioning result after the location algorithm handles the sensor raw data.
Step S404, by the sensing results compared with the emulation data, the sense is determined according to comparative result Know the performance of algorithm, or by the positioning result compared with the emulation data, it is described fixed to be determined according to comparative result The performance of position algorithm.
As shown in figure 5, the system schematic of another alternative embodiment of the present invention, including simulating scenes module 51, algorithm mould Block 52, sensor assembly 53 and motor racing/dynamics module 54, wherein:
Simulating scenes module 51:Including information such as road, lane line, traffic marks, for establishing various test scenes, make Automobile can complete the test of road scene as much as possible, and be capable of providing all vehicles, means of transportation, pedestrian in scene Status information;
Sensor assembly 53:Initial data can be provided according to scene where automobile, such as:Laser radar, millimetre-wave radar, The sensor raw datas such as video camera, ultrasonic wave, IMU, GPS, so as to be perceived using data above and location algorithm Verification;
Motor racing/kinetic model 54:Kinematics including automobile, dynamics, suspension, engine, selector etc. Correlation model, ensures that test result has preferable directive significance for true drive test.
The embodiment of the present invention completes perception/location algorithm test.When performing step S401, simulating scenes module 51 is established Simulating scenes, step S402 is performed by sensor assembly 53, and scene provides sensor raw data according to where automobile, to algorithm Module 52 provides sensor raw data, and then algoritic module 52 performs step S403 and determines sensing results or positioning result.
Furthermore it is also possible to using external control interface to motor racing/kinetic simulation as vehicle motion simulator Type 54 inputs different controlled quentity controlled variables, the different types of transport condition of simulating vehicle.Algorithm process result is provided with simulating scenes Corresponding state true value contrasted, judge the performance of perception/location algorithm.
Wherein, motor racing/kinetic model 54 may operate in a trolley and carry on industrial personal computer, usually pass through Ethernet Or CAN bus receiving sensor signal, external control interface provide the control interfaces such as steering wheel, gearshift, throttle/brake, so as to Complete dependence test of the driver in ring.Sensor assembly 53 passes through output interface output transducer original number to algoritic module 52 According to.Output interface includes two kinds of Ethernet interface and CAN interface
The embodiment of the present invention obtains the operation result of unmanned testing algorithm with definite nothing by establishing simulating scenes People drives the performance of testing algorithm.Realize the simulative automobile testing scheme tested complete automatic Pilot scheme.Specifically Ground, the present embodiment implement the test to perception/location algorithm.
Example IV
It is illustrated in figure 6 a kind of work for automatic driving vehicle analog detection method that yet another alternative embodiment of the present invention provides Make flow chart, including:
Step S601, establishes simulating scenes, generates the emulation data of simulating scenes.
Step S602, obtains the sensor raw data produced according to the emulation data;
Step S603, the unmanned testing algorithm include decision making algorithm, planning algorithm, control algolithm, perception algorithm Or location algorithm, obtain the sensing results after the unmanned testing algorithm handles the sensor raw data and Positioning result;
Step S604, obtains the unmanned testing algorithm to right after the sensing results and positioning result progress computing The controlled quentity controlled variable of vehicle, vehicle motion simulator is inputted by the controlled quentity controlled variable;
Step S605, obtains vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable, adopts The performance of the unmanned testing algorithm is determined with the vehicle actual travel track.
As shown in fig. 7, the system schematic of yet another alternative embodiment of the present invention, including simulating scenes module 71, algorithm mould Block 72, sensor assembly 73 and motor racing/dynamics module 74, wherein:
Simulating scenes module 71:Including information such as road, lane line, traffic marks, for establishing various test scenes, make Automobile can complete the test of road scene as much as possible, and be capable of providing all vehicles, means of transportation, pedestrian in scene Status information;
Sensor assembly 73:Initial data can be provided according to scene where automobile, such as:Laser radar, millimetre-wave radar, The sensor raw datas such as video camera, ultrasonic wave, IMU, GPS, so as to be perceived using data above and location algorithm Verification;
Motor racing/kinetic model 74:Kinematics including automobile, dynamics, suspension, engine, selector etc. Correlation model, ensures that test result has preferable directive significance for true drive test.
The embodiment of the present invention completes automatic Pilot closed loop test.Automatic Pilot closed loop test refer at the same time to it is whole nobody drive The algorithm for sailing system carries out emulation testing.
When performing step S601, simulating scenes module 71 establishes simulating scenes, and step is performed by sensor assembly 73 S602, scene provides sensor raw data according to where automobile, and sensor original is provided to algoritic module 72 by output interface Beginning data, then algoritic module 72 perform step S603 determine sensing results or positioning result.Then algoritic module 72 performs step Rapid S604, determines the controlled quentity controlled variable needed for vehicle traveling, such as engine throttle, front-wheel steer torque, gear information etc., and by defeated Controlled quentity controlled variable is sent to the motor racing as vehicle motion simulator/kinetic model 74 by incoming interface, passes through vehicle movement Simulator vehicle actual travel track according to caused by the controlled quentity controlled variable determines the performance of the unmanned testing algorithm.Its In, motor racing/kinetic model 74 may operate in a trolley and carry on industrial personal computer, usually pass through Ethernet or CAN bus Receiving sensor signal, input interface and output interface include two kinds of Ethernet interface and CAN interface.
The embodiment of the present invention obtains the operation result of unmanned testing algorithm with definite nothing by establishing simulating scenes People drives the performance of testing algorithm.Realize the simulative automobile testing scheme tested complete automatic Pilot scheme.Specifically Ground, the present embodiment are implemented to automatic Pilot closed loop test.
Embodiment five
A kind of apparatus module of automatic driving vehicle simulating test device of one embodiment of the invention offer is provided Figure, including:
Simulating scenes establish module 801, are used for:Simulating scenes are established, generate the emulation data of simulating scenes;
Computing module 802 is tested, is used for:Obtain unmanned testing algorithm and the fortune after computing is carried out to the emulation data Calculate as a result, determining the performance of unmanned testing algorithm according to the operation result.
The embodiment of the present invention obtains the operation result of unmanned testing algorithm with definite nothing by establishing simulating scenes People drives the performance of testing algorithm.
Embodiment six
A kind of automatic driving vehicle simulating test device that alternative embodiment of the present invention provides, including:
Simulating scenes establish module, are used for:Simulating scenes are established, generate the emulation data of simulating scenes;
Computing module is tested, is used for:Obtain unmanned testing algorithm to it is described emulation data carry out computing after to vehicle Controlled quentity controlled variable, by the controlled quentity controlled variable input vehicle motion simulator;
Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, using the vehicle Actual travel track determines the performance of the unmanned testing algorithm.
Specifically, the unmanned testing algorithm includes decision making algorithm, planning algorithm and control algolithm, decision making algorithm root Judge vehicle drive behavior according to obstacle information, traffic marking board information and the lane line information in emulation data;
Planning algorithm carries out vehicle running path planning according to driving behavior;
Control algolithm is planned according to vehicle running path, the location information and course information of this car, determines that vehicle travels institute The controlled quentity controlled variable needed, vehicle motion simulator is inputted by the controlled quentity controlled variable;
Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, using the vehicle Actual travel track determines the performance of decision making algorithm, planning algorithm and control algolithm.
The embodiment of the present invention obtains the operation result of unmanned testing algorithm with definite nothing by establishing simulating scenes People drives the performance of testing algorithm.Realize the simulative automobile testing scheme tested complete automatic Pilot scheme.Specifically Ground, the present embodiment implement the test to decision-making/planning/control algolithm.
Embodiment seven
A kind of automatic driving vehicle simulating test device that another alternative embodiment of the present invention provides, including:
Simulating scenes establish module, are used for:Simulating scenes are established, generate the emulation data of simulating scenes;
Computing module is tested, is used for:The unmanned testing algorithm includes perception algorithm or location algorithm, obtains basis The sensor raw data that the emulation data are produced;
The sensing results after the perception algorithm handles the sensor raw data are obtained, or described in acquisition Location algorithm the sensor raw data is handled after positioning result;
By the sensing results compared with the emulation data, the property of the perception algorithm is determined according to comparative result Can, or by the positioning result compared with the emulation data, the property of the location algorithm is determined according to comparative result Energy.
Specifically, at least one controlled quentity controlled variable is inputted to vehicle motion simulator so that vehicle motion simulator simulating vehicle At least one driving states;
Obtain under the driving states, the sensor raw data produced according to the emulation data;
The sensing results after the perception algorithm handles the sensor raw data are obtained, or described in acquisition Location algorithm the sensor raw data is handled after positioning result;
By the sensing results compared with the emulation data, the property of the perception algorithm is determined according to comparative result Can, or by the positioning result compared with the emulation data, the property of the location algorithm is determined according to comparative result Energy.
The embodiment of the present invention obtains the operation result of unmanned testing algorithm with definite nothing by establishing simulating scenes People drives the performance of testing algorithm.Realize the simulative automobile testing scheme tested complete automatic Pilot scheme.Specifically Ground, the present embodiment implement the test to perception/location algorithm.
Embodiment eight
A kind of automatic driving vehicle simulating test device that yet another alternative embodiment of the present invention provides, including:
Simulating scenes establish module, are used for:Simulating scenes are established, generate the emulation data of simulating scenes;
Computing module is tested, is used for:The unmanned testing algorithm include decision making algorithm, planning algorithm, control algolithm, Perception algorithm or location algorithm, obtain the sensor raw data produced according to the emulation data;
Obtain the sensing results after the unmanned testing algorithm handles the sensor raw data and determine Position result;
The unmanned testing algorithm is obtained to the control after the sensing results and positioning result progress computing to vehicle Amount processed, vehicle motion simulator is inputted by the controlled quentity controlled variable;
Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, using the vehicle Actual travel track determines the performance of the unmanned testing algorithm.
The embodiment of the present invention obtains the operation result of unmanned testing algorithm with definite nothing by establishing simulating scenes People drives the performance of testing algorithm.Realize the simulative automobile testing scheme tested complete automatic Pilot scheme.Specifically Ground, the present embodiment are implemented to automatic Pilot closed loop test.
Ninth embodiment of the invention provides a kind of nonvolatile computer storage media, and the computer-readable storage medium is deposited Computer executable instructions are contained, which can perform unmanned in above-mentioned any means embodiment Vehicle simulation test method.
The electronics for being illustrated in figure 9 the execution automatic driving vehicle analog detection method of tenth embodiment of the invention offer is set Standby hardware architecture diagram, it mainly includes:At least one processor 910;And with least one processor 910 The memory 920 of communication connection;Wherein, the memory 920 is stored with the instruction that can be performed by one processor, described Instruction performed by least one processor 910 so that at least one processor be able to carry out as shown in Figure 1, Figure 2, Fig. 4 and Method flow shown in Fig. 6, in Fig. 9 by taking a processor 910 as an example.
Performing the electronic equipment of automatic driving vehicle analog detection method can also include:Input unit 930 and output fill Put 940.
Processor 910, memory 920, input unit 930 and display device 940 can pass through bus or other modes Connect, in Fig. 9 exemplified by being connected by bus.
Memory 920 is used as a kind of non-volatile computer readable storage medium storing program for executing, available for storage non-volatile software journey Sequence, non-volatile computer executable program and module, such as the automatic driving vehicle simulation test side in the embodiment of the present application Corresponding programmed instruction/the module of method, for example, the method flow shown in Fig. 1, Fig. 2, Fig. 4 and Fig. 6, or the emulation shown in attached drawing 8 Scene establishes module 801 and test computing module 802.Processor 910 is stored in non-volatile in memory 920 by operation Software program, instruction and module, so as to perform various functions application and data processing, that is, realize the nothing in above-described embodiment People drives vehicle simulation test method.
Memory 920 can include storing program area and storage data field, wherein, storing program area can store operation system System, the required application program of at least one function;Storage data field can be stored according to automatic driving vehicle simulating test device Use created data etc..In addition, memory 920 can include high-speed random access memory, can also include non-easy The property lost memory, a for example, at least disk memory, flush memory device or other non-volatile solid state memory parts.One In a little embodiments, memory 920 is optional including relative to the remotely located memory of processor 910, these remote memories can To pass through network connection to the device for performing automatic driving vehicle analog detection method.The example of above-mentioned network includes but not limited to Internet, intranet, LAN, mobile radio communication and combinations thereof.
The user that input unit 930 can receive input clicks on, and produces and automatic driving vehicle simulating test device User setting and function control it is related signal input.Display device 940 may include the display devices such as display screen.
It is stored in one or more of modules in the memory 920, when by one or more of processing When device 910 is run, the automatic driving vehicle analog detection method in above-mentioned any means embodiment is performed.
The said goods can perform the method that the embodiment of the present application is provided, and possesses the corresponding function module of execution method and has Beneficial effect.Not ins and outs of detailed description in the present embodiment, reference can be made to the method that the embodiment of the present application is provided.
The electronic equipment of the embodiment of the present invention exists in a variety of forms, includes but not limited to:
(1) electronic control unit (Electronic Control Unit, ECU) is also known as " car running computer ", " vehicle-mounted computer " Deng.Mainly by microprocessor (CPU), memory (ROM, RAM), input/output interface (I/O), analog-digital converter (A/D) and The large scale integrated circuits such as shaping, driving form.
(2) mobile communication equipment:The characteristics of this kind equipment is that possess mobile communication function, and to provide speech, data Communicate as main target.This Terminal Type includes:Smart mobile phone (such as iPhone), multimedia handset, feature mobile phone, and it is low Hold mobile phone etc..
(3) super mobile personal computer equipment:This kind equipment belongs to the category of personal computer, there is calculating and processing work( Can, generally also possess mobile Internet access characteristic.This Terminal Type includes:PDA, MID and UMPC equipment etc., such as iPad.
(4) portable entertainment device:This kind equipment can show and play content of multimedia.The kind equipment includes:Audio, Video player (such as iPod), handheld device, e-book, and intelligent toy and portable car-mounted navigation equipment.
(5) server:The equipment for providing the service of calculating, the composition of server are total including processor, hard disk, memory, system Line etc., server is similar with general computer architecture, but due to needing to provide highly reliable service, in processing energy Power, stability, reliability, security, scalability, manageability etc. are more demanding.
(6) other have the function of the electronic device of data interaction.
In addition, the logical order in above-mentioned memory 920 can be realized and be used as by the form of SFU software functional unit Independent production marketing in use, can be stored in a computer read/write memory medium.Based on such understanding, sheet The part or the part of the technical solution that the technical solution of invention substantially in other words contributes the prior art can be with The form of software product embodies, which is stored in a storage medium, including some instructions to So that a mobile terminal (can be personal computer, server, or network equipment etc.) performs each embodiment of the present invention The all or part of step of the method.And foregoing storage medium includes:USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. it is various Can be with the medium of store program codes.
Device embodiment described above is only schematical, wherein the unit illustrated as separating component can To be or may not be physically separate, physics list is may or may not be as the component that unit is shown Member, you can with positioned at a place, or can also be distributed in multiple network unit.It can be selected according to the actual needs In some or all of module realize the purpose of the embodiment of the present invention.Those of ordinary skill in the art are not paying wound In the case of the work for the property made, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can Realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on The part that technical solution substantially in other words contributes to the prior art is stated to embody in the form of software product, should Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some fingers Order is used so that a computer equipment (can be personal computer, server, or network equipment etc.) performs each implementation Method described in some parts of example or embodiment.
Finally it should be noted that:Above example is only to illustrate the technical solution of the embodiment of the present invention, rather than it is limited System;Although the embodiment of the present invention is described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should Understand:It can still modify the technical solution described in foregoing embodiments, or to which part technical characteristic Carry out equivalent substitution;And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention skill The spirit and scope of art scheme.

Claims (6)

  1. A kind of 1. automatic driving vehicle analog detection method, it is characterised in that including:
    Simulating scenes are established, generate the emulation data of simulating scenes;
    Obtain unmanned testing algorithm and the operation result after computing is carried out to the emulation data, it is true according to the operation result The performance of fixed unmanned testing algorithm.
  2. 2. automatic driving vehicle analog detection method according to claim 1, it is characterised in that the acquisition is unmanned Testing algorithm carries out the operation result after computing to the emulation data, determines that unmanned test is calculated according to the operation result The performance of method, specifically includes:
    Unmanned testing algorithm is obtained to carry out the emulation data after computing to the controlled quentity controlled variable of vehicle, the controlled quentity controlled variable is defeated Enter vehicle motion simulator;
    Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, it is actual using the vehicle Driving trace determines the performance of the unmanned testing algorithm.
  3. 3. automatic driving vehicle analog detection method according to claim 2, it is characterised in that the unmanned test Algorithm includes decision making algorithm, planning algorithm and control algolithm, it is described obtain unmanned testing algorithm to the emulation data into Operation result after row computing, the performance of unmanned testing algorithm is determined according to the operation result, is specifically included:
    Obstacle information, traffic marking board information and lane line information of the decision making algorithm in emulation data judge vehicle drive Behavior;
    Planning algorithm carries out vehicle running path planning according to driving behavior;
    Control algolithm is planned according to vehicle running path, the location information and course information of this car, is determined needed for vehicle traveling Controlled quentity controlled variable, vehicle motion simulator is inputted by the controlled quentity controlled variable;
    Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, it is actual using the vehicle Driving trace determines the performance of decision making algorithm, planning algorithm and control algolithm.
  4. 4. automatic driving vehicle analog detection method according to claim 1, it is characterised in that the unmanned test Algorithm includes perception algorithm or location algorithm, after the unmanned testing algorithm of acquisition carries out computing to the emulation data Operation result, the performance of unmanned testing algorithm is determined according to the operation result, is specifically included:
    Obtain the sensor raw data produced according to the emulation data;
    The sensing results after the perception algorithm handles the sensor raw data are obtained, or obtain the positioning Algorithm the sensor raw data is handled after positioning result;
    By the sensing results compared with the emulation data, the performance of the perception algorithm is determined according to comparative result, Or by the positioning result compared with the emulation data, the performance of the location algorithm is determined according to comparative result.
  5. 5. automatic driving vehicle analog detection method according to claim 4, it is characterised in that the acquisition is unmanned Testing algorithm carries out the operation result after computing to the emulation data, determines that unmanned test is calculated according to the operation result The performance of method, specifically includes:
    At least one controlled quentity controlled variable is inputted to vehicle motion simulator so that at least one row of vehicle motion simulator simulating vehicle Car state;
    Obtain under the driving states, the sensor raw data produced according to the emulation data;
    The sensing results after the perception algorithm handles the sensor raw data are obtained, or obtain the positioning Algorithm the sensor raw data is handled after positioning result;
    By the sensing results compared with the emulation data, the performance of the perception algorithm is determined according to comparative result, Or by the positioning result compared with the emulation data, the performance of the location algorithm is determined according to comparative result.
  6. 6. automatic driving vehicle analog detection method according to claim 1, it is characterised in that the unmanned test Algorithm includes decision making algorithm, planning algorithm, control algolithm, perception algorithm or location algorithm, described to obtain unmanned test calculation Method carries out the operation result after computing to the emulation data, and the property of unmanned testing algorithm is determined according to the operation result Can, specifically include:
    Obtain the sensor raw data produced according to the emulation data;
    Obtain the sensing results after the unmanned testing algorithm handles the sensor raw data and positioning is tied Fruit;
    The unmanned testing algorithm is obtained to carry out the sensing results and positioning result after computing to the controlled quentity controlled variable of vehicle, The controlled quentity controlled variable is inputted into vehicle motion simulator;
    Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, it is actual using the vehicle Driving trace determines the performance of the unmanned testing algorithm.
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CN117746714A (en) * 2024-02-20 2024-03-22 成都运达科技股份有限公司 Test method and system for simulated driving operation
CN117746714B (en) * 2024-02-20 2024-04-30 成都运达科技股份有限公司 Test method and system for simulated driving operation

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