CN108765235A - Automatic driving vehicle test scene construction method and test method based on the destructing of traffic accident case - Google Patents

Automatic driving vehicle test scene construction method and test method based on the destructing of traffic accident case Download PDF

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CN108765235A
CN108765235A CN201810437926.5A CN201810437926A CN108765235A CN 108765235 A CN108765235 A CN 108765235A CN 201810437926 A CN201810437926 A CN 201810437926A CN 108765235 A CN108765235 A CN 108765235A
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孙巍
应朝阳
潘汉中
范志翔
穆文浩
严慈磊
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Traffic Management Research Institute of Ministry of Public Security
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Abstract

The present invention provides a kind of automatic driving vehicle test scene construction method deconstructed based on traffic accident case, includes the following steps:(One)Pass through the signature analysis to true traffic scene, scene element of the extraction for automatic driving vehicle test;(Two)The test scene for arranging automatic driving vehicle, to generate each test case for automatic driving vehicle test;(Three)Lay test scene cooperative control system.The present invention is analyzed by way of clustering and extracts scene element and characteristic feature, in conjunction with genetic analysis, important parameter in true traffic scene is converted into test parameter, to construct a kind of method suitable for industry development and the safe adaptive testing evaluation of automatic Pilot city complexity traffic scene of Third Party Authentication evaluation.

Description

Based on traffic accident case destructing automatic driving vehicle test scene construction method and Test method
Technical field
The invention belongs to automatic driving vehicle technical field of performance test, especially a kind of to be deconstructed based on traffic accident case Automatic driving vehicle test scene construction method and test method.
Background technology
According to automatic Pilot ability level, automatic Pilot can be mainly divided into 5 grades, and 1 grade assists to drive, and 2 grades are part Automatic Pilot, 3 grades are automatic Pilot of having ready conditions, and 4 grades are highly automated driving, and 5 grades are fully automated driving.Wherein intelligent grade The mankind are relied primarily on for 1 and 2 grade of automated driving system to monitor driving environment, and 3 to 5 grades of automated driving system then passes through Computer system carries out the monitoring of driving environment.With the promotion of automatic Pilot level of intelligence, intelligence system progressivelyes reach and has The driving ability of standby mankind driver, and after automatic Pilot level of intelligence reaches 3 to 5 grades, people will be replaced in part scene Class completes driving task.
Currently deepen continuously to Function for Automatic Pilot research with domestic and international research institution, the intelligence of automatic driving vehicle Horizontal gradually realize promotes from auxiliary driving to unmanned direction.For ensure the operational safety of different brackets intelligence system with it is steady It is qualitative, it needs to carry out test certification to the basic security performance of automated driving system, and drive automatically to verify according to test result Sail the safety in operation of vehicle.
Automatic driving vehicle may be implemented certainly by the coordinated of the systems such as perception, decision and control, execution at this stage It is dynamic to drive operation function.And it is gradually complete for the test of the basic functions such as the emergency braking of automatic Pilot, adaptive cruise It is kind, but hardware performance test of such test method mostly based on automatic driving vehicle, automatic Pilot survey can not be reacted well Logic adaptability of the amount in face of complicated traffic environment;Therefore, it is necessary to construct a kind of to react China's typical road traffic environment In dangerous scene, cover relatively conventional accident and illegal scene, standardization can concentrated expression automatic driving vehicle pass through ring The test scene of border adaptability.
Invention content
It is an object of the present invention to overcome the shortcomings of the prior art and provide one kind to be deconstructed based on traffic accident case Automatic driving vehicle test scene construction method and corresponding test method, refinement is analyzed by way of clustering Go out scene element and characteristic feature, in conjunction with genetic analysis, the important parameter in true traffic scene is converted into test parameter, from And construct a kind of automatic Pilot city complexity traffic scene adaptation safely suitable for industry development and Third Party Authentication evaluation The method of property test evaluation.The technical solution adopted by the present invention is:
A kind of automatic driving vehicle test scene construction method based on the destructing of traffic accident case, includes the following steps:
(1) pass through the signature analysis to true traffic scene, scene element of the extraction for automatic driving vehicle test;
(2) test scene for arranging automatic driving vehicle, generates each test case for automatic driving vehicle test;
(3) test scene cooperative control system is laid.
Specifically, in step (1), signature analysis is based on traffic accident case;Analytical procedure includes data prediction, answers Polygamy analysis, scene element aspect ratio pair;
Step 1.1, data prediction:Classify for scene element, in conjunction with the traveling behavior of real vehicles, to each friendship Logical accident case forms case list;
Step 1.2, the complexity analyzing of traffic accident case:The phase for the traffic accident case after data prediction of learning from else's experience Character matrix is closed, the complexity of case is calculated;
Step 1.3, scene element aspect ratio pair:By carrying out across comparison analysis to each traffic accident case, take The relevance between each scene is sought with the method for mathematical statistics, and symbolizes the characteristic feature of dangerous scene, combs out danger With common scene element.
Further, in step 1.1, the classification of scene element includes:The accident origin cause of formation, accident object, incident area, environment Condition;The behavior that wherein the accident origin cause of formation is expressed as the reference vehicle chosen includes irregular driving, tired driving, new hand's driving;Thing Therefore object includes other vehicles, non-motor vehicle, pedestrian;Incident area includes straight trip section, intersection, main and side road, entrance, soon Fast road, crossing region, platform region;Environmental condition includes rainy day, greasy weather, night, ice and snow, dusk;The row of real vehicles The behavior of sailing includes:With speeding, turning, avoid, lane change, overtake other vehicles, flow back.
Specifically, in step (2), test scene includes:Test vehicle, test road, test facilities, testing background object.
Specifically, in test scene cooperative control system, test vehicle is equipped with according to testing requirement for determining test The mobile satellite location equipment of location information, running velocity, course angle essential information, test vehicle will be tested by wireless network The essential information of vehicle is transmitted to Background control terminal server;Background control terminal server is according to the test vehicle received Essential information presets the state trigger timing of node timely adjustment test facilities and testing background object in conjunction with scene.
A kind of test method, in the above-mentioned automatic driving vehicle test scene structure side based on the destructing of traffic accident case On the basis of method, including test assignment complexity design method, test assignment form module design method, test evaluation side Method.
Specifically, test assignment complexity design method includes:With reference first to the signature analysis of true traffic scene, will survey Examination element is added in test scene to generate the automatic driving vehicle test case of differing complexity;
These test elements include the scene element for automatic driving vehicle test extracted in step (1), and are surveyed Test vehicle, test facilities, testing background object when examination hall scape is laid.
Further, by adding the identification of various dimensions of test vehicle, decision, executive subsystem in test scene Test elements, to realize the promotion of test scene complexity.
Specifically, test assignment form module design method includes:Test assignment is showed with task form;
Pilot point in task form indicates the process of test assignment;Each pilot point includes several attribute points;Pilot point Data type include each attribute point three-dimensional coordinate, both longitude, latitude, height;
Each attribute point represents the path point for guiding test vehicle pass-through of testing agency's offer;
Complexity in task form is coupled by the selection quantity and test elements of test elements in test scene The annoyance level of test is determined afterwards.
Specifically, test evaluation method specifically includes:
Under the conditions of same test complexity, the pilot point of corresponding demand is provided according to different test vehicle design requirements Attribute point quantity, the safe passing ability of intelligent level and unknown scene for evaluating different test vehicles;
Under the conditions of same test complexity, by constantly reducing the attribute point quantity of pilot point, for evaluating same survey Test run adapts to the limiting condition of test scene;
Under the conditions of identical pilot point and attribute point, the energy of test environment adaptability is faced for evaluating different test vehicles Power;
The abundant test content of vertex type is guided by variation, guides vertex type to obtain a variety of test zones by variation, and Carry out the traffic capacity test case that vehicle is tested in these test zones.
The advantage of the invention is that:
The automatic driving vehicle test scene of the present invention derives from true traffic scene, i.e. domestic communication accident case.It is logical The factor analysis to true traffic scene is crossed, the danger that automatic driving vehicle is faced when real roads are passed through can be objectively responded out Dangerous traffic scene.The setting method of this test scene is by the way of the dangerous true traffic scene of reproduction, with traditional test scene Setting compare, the present invention is tested not only for realizing that the limiting condition of hardware device of automatic function is tested Core be this method can be used for Comprehensive Assessment automated driving system operation logic whether adapt to China road traffic it is logical Row condition.
The present invention coordinates checkout area in the setting and test approach of test case using true closed field test Scape cooperative control system carries out, and the test vehicle in can test being started, be tested detects in real time, and according to the operation of test vehicle State adjusts the running position of background equipment, it is ensured that the concertedness of test vehicle and background equipment ensures the normal of test case Carry out.Scene using reproduction by the way of, for restore automatic driving vehicle run in real roads can face have generation The dangerous traffic scene of traffic accident possibility, and the scene is arranged based on objective angle so that this test method is suitable for not With the automatic driving vehicle of technology path, standardization third party tests with exploitation, and test result has reliability.The survey of the present invention Method for testing compared with hardware-in―the-loop test, computer simulation emulation scheduling theory data test, closer to true traffic pass through ring Border, test dimension and can be reflected objectively between each system of automatic driving vehicle not only for the basic performance of system Coordinated ability so that test result more can accurately graticule test vehicle integrated operation security performance.With real roads Test is compared, this test method carries out test job using closing place, safe emergency response mechanism is provided with, compared to true Road test is more safely controllable, and can avoid the randomness of road test, and can carry out weight to the dangerous scene that need to repeat examination Renaturation verification test.
Description of the drawings
Fig. 1 is the test scene arrangement figure of the present invention.
Fig. 2 is the test scene cooperative control system schematic diagram of the present invention.
Specific implementation mode
With reference to specific drawings and examples, the invention will be further described.
Automatic driving vehicle test scene construction method and test proposed by the present invention based on the destructing of traffic accident case Method, including:
(1) pass through the signature analysis to true traffic scene, scene element of the extraction for automatic driving vehicle test;
Signature analysis is based on traffic accident case, and case type includes folder, video etc.;Analytical procedure includes that data are located in advance Reason, complexity analyzing, scene element aspect ratio pair;
Step 1.1, data prediction:Classify for scene element, in conjunction with the traveling behavior of real vehicles, to each friendship Logical accident case forms case list;As shown in table 1;
The classification of scene element includes:The accident origin cause of formation, accident object, incident area, environmental condition;Wherein accident origin cause of formation table The behavior for being shown as the reference vehicle chosen includes irregular driving, tired driving, new hand's driving etc.;Accident object includes other vehicles , non-motor vehicle, pedestrian;Incident area includes straight trip section, intersection, main and side road, entrance, through street, crossing area Domain, platform region;Environmental condition includes rainy day, greasy weather, night, ice and snow, dusk;The traveling behavior of real vehicles includes:With speeding, Turning, lane change, overtakes other vehicles, flows back at evacuation;
1 case list of table
Each traffic accident case forms a case list as shown in Table 1;Each traffic accident case representation is Character matrix (aij)n×m;aijFor the value of cell in case list, take " 0 represent it is non-, 1 represent be " expression-form;n Indicate that line number, m indicate columns;
Step 1.2, the complexity analyzing of traffic accident case:The phase for the traffic accident case after data prediction of learning from else's experience Character matrix is closed, the complexity of case is set as γ, is expressed as:
The numerical values recited showed by γ can obtain the quantity of the influence factor in the traffic accident case, can be used for point Analyse the complexity of traffic accident;If there is the number in seven cells to be in the corresponding case list of a traffic accident case 1, illustrate that the traffic accident case there are 7 influence factors;
Step 1.3, scene element aspect ratio pair:By carrying out across comparison analysis to each traffic accident case, take The relevance between each scene is sought with the method for mathematical statistics, and symbolizes the characteristic feature of dangerous scene, combs out danger With common scene element;
It specifically can be using the higher element parameter of occurrence probability in table 1 as dangerous and common scene element;Such as it endangers The road segment classification of danger, hazardous environment condition, common road traffic law violation behavior etc.;
Test parameters of the danger and common scene element of these extractions in being test scene in subsequent conversion;
(2) test scene for arranging automatic driving vehicle is used to generate for each test of automatic driving vehicle test Example;As shown in Figure 1;
Test scene includes:Test vehicle, test road, test facilities, testing background object;
The basic parameter, including initial velocity, traffic direction etc. of setting test vehicle;
It includes linear road, bend, intersection, main and side road etc. to test road;
Test facilities include sign board, graticule, signal lamp etc.;
Testing background object includes background dummy, background non-motor vehicle, background vehicle etc.;
Test scene can carry out the reproduction of true traffic scene when automatic driving vehicle is tested;
Each test case of automatic driving vehicle test is built in test scene, including:Avoid the non-machine of reverse driving Non-maneuver garage is followed in motor-car, night avoid the non-motor vehicle jaywalked, evacuation is made a dash across the red light current non-motor vehicle, narrow road It sails, surmount the non-motor vehicle that front travels at a slow speed, identification front vehicles emergency braking, the bus station by there is Public Transit Bus Stopping Deng;
(3) test scene cooperative control system is laid;As shown in Figure 2;
To realize the orderly function of above-mentioned test scene, standardizing, accurately for automatic driving vehicle environmental suitability is realized Change test, the present invention is provided with a kind of test scene cooperative control system;
In test scene cooperative control system, test vehicle is equipped with according to testing requirement for determining that test position is believed The mobile satellite location equipment of the essential informations such as breath, running velocity, course angle, test vehicle will test vehicle by wireless network Essential information be transmitted to Background control terminal server;Background control terminal server is basic according to the test vehicle received Information presets the state trigger timing of node timely adjustment test facilities and testing background object in conjunction with scene, to ensure checkout area Scape can refine reproduction test design requirement, ensure the standardization of test process;
(4) test method includes test assignment complexity design method, test assignment form module design method, surveys Try evaluation method;
The purpose of structure test method is in order to establish standardization, modular test content, by different test sample vehicles Testing process it is unitized, and the test process of specification automatic driving vehicle, it is ensured that test process meets the phase of test foundation It closes and requires;
4.1) test assignment complexity design method;
With reference first to the signature analysis of true traffic scene, test elements are added in test scene different multiple to generate The automatic driving vehicle test case of miscellaneous degree;
These test elements include the scene element for automatic driving vehicle test extracted in step (1), and are surveyed Test vehicle, test facilities, testing background object when examination hall scape is laid;
Further, by adding the identification of various dimensions of test vehicle, decision, executive subsystem in test scene Test elements, to realize the promotion of test scene complexity, to realize the automatic Pilot test carriage to different intelligent grade Proficiency testing testing requirement;
Table 2 is participated in the design of test assignment complexity list;
Table 2
Complexity Element 1 Element 2
Element 1
Element 2
4.2) test assignment form module design method;
Test assignment form moduleization designs, main to consider automatic driving vehicle actual test in the way of sub-module It carries out;The ability that automatic driving vehicle can be examined to complete modules task during test respectively, and conveniently to each Module is tested;
Test assignment is showed with task form;Task form participates in following Table 3;
Table 3
Guide vertex type Attribute point 1 Attribute point 2 Attribute point 3 ....... Attribute point n Complexity
1
2
Pilot point in task form indicates the process of test assignment;The data type of pilot point includes the three of each attribute point WGS84 coordinates are tieed up, both longitude, latitude, height;
Each pilot point includes several attribute points, and each attribute point represents the logical for guiding test vehicle of testing agency's offer Capable path point;If it is simpler that the pilot point provided and the number of attribute point more at most represent test being executed for task of vehicle It is single;By increasing attribute point quantity, the design of the traffic element in expression a road section is realized, for example, pilot point 1 can be used for table Show that test assignment 1, such as 1 value of attribute point represent starting point for 0, attribute point 2 takes 1 to represent intersection access point, and attribute point 3 took for 2 generations Table intersection goes out a little, and attribute point 4 takes 3 to represent terminal;
Complexity in task form is coupled by the selection quantity and test elements of test elements in test scene The annoyance level of test is determined afterwards.
4.3) test evaluation method;
Guiding point design in the complexity and task form of test evaluation binding test task;Test elements integrated level with The sparse degree of task will influence the test complexity of automatic driving vehicle, and the complexity of test assignment and attribute point Sparse degree presents negatively correlated;
Under the conditions of same test complexity, the pilot point of corresponding demand is provided according to different test vehicle design requirements Attribute point quantity, the safe passing ability of intelligent level and unknown scene for evaluating different test vehicles;
Under the conditions of same test complexity, by constantly reducing the attribute point quantity of pilot point, for evaluating same survey Test run adapts to the limiting condition of test scene;
Under the conditions of identical pilot point and attribute point, the energy of test environment adaptability is faced for evaluating different test vehicles Power;
The abundant test content of vertex type is guided by changing, such as can be kept straight on by variation guiding vertex type, is right Turn through intersection, turn left through a variety of test zones such as intersection, U-shaped turning, parkings, and carries out and surveyed in these test zones The traffic capacity test case of test run;
To sum up, the present invention is in the preparation stage of test, according to the safe adaptive testing demand of automatic driving vehicle, parameter Change true traffic scene, and extracts scene element and form test elements.The test arrangement stage, according to true after former data processing Real traffic scene arranges test scene and test scene cooperative control system in closed test place, and with reference to test parameters Tested tissue vehicle carries out test preparation.It tests the incipient stage, performance test scene cooperative control system, according to test vehicle institute The essential information of feedback completes the coordinated of test facilities and testing background object, ensures that the standardization of test is run, and according to The coordinated ability integration evaluation of the ability and each subsystem of automatic driving vehicle of testing vehicle completion test scene is automatic Drive the safe and applicable sexuality of vehicle.

Claims (10)

1. a kind of automatic driving vehicle test scene construction method based on the destructing of traffic accident case, which is characterized in that including Following steps:
(One)Pass through the signature analysis to true traffic scene, scene element of the extraction for automatic driving vehicle test;
(Two)It arranges the test scene of automatic driving vehicle, generates each test case for automatic driving vehicle test;
(Three)Lay test scene cooperative control system.
2. the automatic driving vehicle test scene construction method as described in claim 1 based on the destructing of traffic accident case, It is characterized in that,
Step(One)In, signature analysis is based on traffic accident case;Analytical procedure includes data prediction, complexity analyzing, field Scape element characteristic compares;
Step 1.1, data prediction:Classify for scene element, in conjunction with the traveling behavior of real vehicles, to each traffic thing Therefore case forms case list;
Step 1.2, the complexity analyzing of traffic accident case:The dependency number for the traffic accident case after data prediction of learning from else's experience Word matrix calculates the complexity of case;
Step 1.3, scene element aspect ratio pair:By carrying out across comparison analysis to each traffic accident case, utilization is taken The method of mathematical statistics seeks the relevance between each scene, and symbolizes the characteristic feature of dangerous scene, combs out dangerous and normal The scene element seen.
3. the automatic driving vehicle test scene construction method as claimed in claim 2 based on the destructing of traffic accident case, It is characterized in that,
In step 1.1, the classification of scene element includes:The accident origin cause of formation, accident object, incident area, environmental condition;Wherein accident The behavior that the origin cause of formation is expressed as the reference vehicle chosen includes irregular driving, tired driving, new hand's driving;Accident object includes other Vehicle, non-motor vehicle, pedestrian;Incident area includes straight trip section, intersection, main and side road, entrance, through street, crossing Region, platform region;Environmental condition includes rainy day, greasy weather, night, ice and snow, dusk;The traveling behavior of real vehicles includes:With It speeds, turn, avoiding, lane change, overtake other vehicles, flow back.
4. the automatic driving vehicle test scene construction method as described in claim 1 based on the destructing of traffic accident case, It is characterized in that,
Step(Two)In, test scene includes:Test vehicle, test road, test facilities, testing background object.
5. the automatic driving vehicle test scene construction method as claimed in claim 4 based on the destructing of traffic accident case, It is characterized in that,
In test scene cooperative control system, test vehicle is equipped with according to testing requirement for determining test position information, vehicle The speed of service, the mobile satellite location equipment of course angle essential information, test vehicle will test the basic of vehicle by wireless network Information is transmitted to Background control terminal server;The test vehicle essential information that Background control terminal server foundation receives, The state trigger timing of node timely adjustment test facilities and testing background object is preset in conjunction with scene.
6. a kind of test method, in the automatic Pilot according to any one of claims 1 to 5 based on the destructing of traffic accident case On the basis of vehicle testing scenario building method, which is characterized in that
Including test assignment complexity design method, test assignment form module design method, test evaluation method.
7. test method as claimed in claim 6, which is characterized in that
Test assignment complexity design method includes:With reference first to the signature analysis of true traffic scene, test elements are added To generate the automatic driving vehicle test case of differing complexity in test scene;
These test elements include step(One)The scene element and checkout area for automatic driving vehicle test of middle extraction Test vehicle, test facilities, testing background object when scape is laid.
8. test method as claimed in claim 7, which is characterized in that
By the identification of the various dimensions of addition test vehicle, decision, the test elements of executive subsystem in test scene, come real The promotion of existing test scene complexity.
9. test method as claimed in claim 6, which is characterized in that
Test assignment form module design method includes:Test assignment is showed with task form;
Pilot point in task form indicates the process of test assignment;Each pilot point includes several attribute points;The number of pilot point Include the three-dimensional coordinate of each attribute point according to type, both longitude, latitude, height;
Each attribute point represents the path point for guiding test vehicle pass-through of testing agency's offer;
Complexity in task form is right after being coupled by the selection quantity and test elements of test elements in test scene The annoyance level of test determines.
10. test method as claimed in claim 6, which is characterized in that
Test evaluation method specifically includes:
Under the conditions of same test complexity, the attribute of the pilot point of corresponding demand is provided according to different test vehicle design requirements Point quantity, the safe passing ability of intelligent level and unknown scene for evaluating different test vehicles;
Under the conditions of same test complexity, by constantly reducing the attribute point quantity of pilot point, for evaluating same test carriage Adapt to test scene limiting condition;
Under the conditions of identical pilot point and attribute point, the ability for evaluating different test vehicles in face of test environment adaptability;
The abundant test content of vertex type is guided by variation, guides vertex type to obtain a variety of test zones by variation, and carry out The traffic capacity test case of vehicle is tested in these test zones.
CN201810437926.5A 2018-05-09 2018-05-09 Automatic driving vehicle test scene construction method and test method based on the destructing of traffic accident case Pending CN108765235A (en)

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CN113272744A (en) * 2019-12-17 2021-08-17 弗泰里克斯有限公司 System for monitoring appropriate behavior of autonomous vehicle and method thereof
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CN115240409A (en) * 2022-06-17 2022-10-25 上海智能网联汽车技术中心有限公司 Method for extracting dangerous scene based on driver model and traffic flow model
US11644331B2 (en) 2020-02-28 2023-05-09 International Business Machines Corporation Probe data generating system for simulator
US11702101B2 (en) 2020-02-28 2023-07-18 International Business Machines Corporation Automatic scenario generator using a computer for autonomous driving
CN116778720A (en) * 2023-08-25 2023-09-19 中汽传媒(天津)有限公司 Traffic condition scene library construction and application method, system and electronic equipment
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US11814080B2 (en) 2020-02-28 2023-11-14 International Business Machines Corporation Autonomous driving evaluation using data analysis

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103207090A (en) * 2013-04-09 2013-07-17 北京理工大学 Driverless vehicle environment simulation test system and test method
CN103234763A (en) * 2013-04-09 2013-08-07 北京理工大学 System and method for quantitatively evaluating unmanned vehicles
CN105956268A (en) * 2016-04-29 2016-09-21 百度在线网络技术(北京)有限公司 Construction method and device applied to test scene of pilotless automobile

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103207090A (en) * 2013-04-09 2013-07-17 北京理工大学 Driverless vehicle environment simulation test system and test method
CN103234763A (en) * 2013-04-09 2013-08-07 北京理工大学 System and method for quantitatively evaluating unmanned vehicles
CN105956268A (en) * 2016-04-29 2016-09-21 百度在线网络技术(北京)有限公司 Construction method and device applied to test scene of pilotless automobile

Cited By (47)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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