CN112560179A - Multi-dimensional dynamic mathematical model construction method of automobile headlamp - Google Patents

Multi-dimensional dynamic mathematical model construction method of automobile headlamp Download PDF

Info

Publication number
CN112560179A
CN112560179A CN202011464450.8A CN202011464450A CN112560179A CN 112560179 A CN112560179 A CN 112560179A CN 202011464450 A CN202011464450 A CN 202011464450A CN 112560179 A CN112560179 A CN 112560179A
Authority
CN
China
Prior art keywords
automobile
headlamp
test
data
mathematical model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011464450.8A
Other languages
Chinese (zh)
Inventor
郭玉庆
张旭
黄家伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhenjiang Runshen Photoelectric Co ltd
Original Assignee
Zhenjiang Runshen Photoelectric Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhenjiang Runshen Photoelectric Co ltd filed Critical Zhenjiang Runshen Photoelectric Co ltd
Priority to CN202011464450.8A priority Critical patent/CN112560179A/en
Publication of CN112560179A publication Critical patent/CN112560179A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/15Vehicle, aircraft or watercraft design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Automation & Control Theory (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Lighting Device Outwards From Vehicle And Optical Signal (AREA)

Abstract

The embodiment of the invention discloses a method for constructing a multi-dimensional dynamic mathematical model of an automobile headlamp, which particularly relates to the technical field of automobiles and comprises the following steps: the method comprises the following steps: and collecting data such as the speed, the height and the turning angle of the vehicle, and establishing a digital model of the vehicle according to the collected data. The method is characterized in that acquired information is collected, the use scene of the automobile headlamp is combined, the dimension information of each part of the automobile headlamp is analyzed by a numerical analysis method, the change state of the automobile headlamp during single signal transformation in the transverse direction, the longitudinal direction or the turning direction is respectively researched in an off-line state, then a multi-dimensional static mathematical model of the headlamp and a component is researched, and the safety problem that parameters such as the irradiation distance and the light and shade degree cannot be automatically adjusted along with the change of the automobile speed, the turning and the like of the traditional automobile headlamp is solved based on the multi-dimensional dynamic mathematical model.

Description

Multi-dimensional dynamic mathematical model construction method of automobile headlamp
Technical Field
The embodiment of the invention relates to the technical field of automobiles, in particular to a multi-dimensional dynamic mathematical model construction method of an automobile headlamp.
Background
With the continuous improvement of automobile technology, the requirement of the market on the safety of automobiles is higher and higher. Especially, in the aspect of active safety of automobiles, traffic accidents of automobiles can be effectively avoided, and the headlights of the automobiles are used as main lighting sources for driving the automobiles at night, so that the safety work of the headlights directly influences the perception and the judgment of drivers on driving environments, and the safety of the drivers and pedestrians is related to the life safety of the drivers and pedestrians.
The prior art has the following defects: in the actual driving process, due to dynamic uncertain factors such as roads, environments, problems of drivers and the like, the conventional automobile headlamp is only simply installed at the front part of an automobile, and the illuminating light beam of the conventional automobile headlamp is always along the longitudinal direction of the automobile body. When the automobile runs on a straight road surface, the existing automobile headlamp can well meet the driving requirement. However, when the automobile turns or the automobile body of the automobile is pitching due to uneven road surface, the existing headlamp cannot adapt to the road condition well, a large driving 'dark blind area' is often formed in front of the driver, a reasonable road surface illumination environment cannot be provided for the driver, and the common technical bottleneck to be broken through urgently in the field of automobile headlamps is formed.
Disclosure of Invention
Therefore, the embodiment of the invention provides a method for constructing a multi-dimensional dynamic mathematical model of an automobile headlamp, which comprises the steps of collecting obtained information, combining a use scene of the automobile headlamp, analyzing dimension information of each part of the automobile headlamp by adopting a numerical analysis method, respectively researching the change state of the automobile headlamp when single signals in the transverse direction, the longitudinal direction or the corner direction are transformed in an off-line state, further researching a multi-dimensional static mathematical model of the headlamp and a component, taking the static mathematical model in the off-line state as a basis, combining a vehicle dynamics model, considering real-time change conditions of automobile corners, vehicle speed and vehicle body height when a vehicle runs, integrating factors such as horizontal and vertical irradiation angles of the headlamp, and building the multi-dimensional dynamic mathematical model of the forward direction, the longitudinal direction and the bending degree of the automobile headlamp and the component, and solving the problems that the traditional automobile headlamp cannot follow the vehicle, The safety problem of automatically adjusting parameters such as irradiation distance, brightness and the like due to changes such as turning.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions: a multi-dimensional dynamic mathematical model construction method of an automobile headlamp comprises the following steps:
the method comprises the following steps: collecting data such as the speed, the height and the turning angle of a vehicle, and establishing a digital model of the vehicle according to the collected data;
step two: collecting data such as the service brightness, the service life and the shock resistance of the automobile headlamp, and establishing a digital model of the automobile headlamp according to the data;
step three: building a multi-dimensional dynamic mathematical model of the front direction, the longitudinal direction and the camber of the automobile headlamp assembly according to the comprehensive data of the automobile and the automobile headlamp;
step four: collecting environmental data of various automobile driving road sections in a city, establishing a 3D model for the road section environment through 3D modeling software, establishing a test vehicle model, establishing the 3D model in the different road section environments for testing, and then correcting according to displayed problems to improve the fitting degree of the test vehicle model and the road section environment model;
step five: creating a program, associating the motion dynamics of the automobile headlamp with the driving state of the test vehicle, and repeatedly testing to ensure that the motion dynamics of various automobile headlamps sequentially correspond to different driving states of the test vehicle;
step six: after the program is calibrated, testing the reaction state of the headlights of the automobile when the automobile runs in different states of different road sections through test software, and recording data;
step seven: according to the problem of data response, modifying the multi-dimensional dynamic mathematical models of the forward direction, the longitudinal direction and the bending degree of the automobile headlamp assembly until the test data meet the standard;
step eight: and establishing a real object according to the corresponding data of the simulation test, performing a field test, acquiring the field test data, and performing comparative analysis on the field test data and the simulation test data.
Furthermore, in the first step, a digital corner sensor is adopted to test the corner of the vehicle running, a tester is adopted to test the speed, and a Hall sensor is adopted to measure the vehicle body.
Furthermore, the brightness of the automobile headlamp tested in the second step is adjustable, and the brightness of the automobile headlamp is inversely proportional to the brightness of the surrounding environment.
Further, the angle of forward movement of the headlamp of the automobile in the third step is 90-120 degrees, and the angle of longitudinal movement of the headlamp is 80-150 degrees.
Furthermore, different road sections in the fourth step comprise a camber, an uneven road surface and a slope, wherein the camber ranges from 90 degrees to 150 degrees, and the slope ranges from 15 degrees to 45 degrees.
Furthermore, weather factors such as raining, wind blowing, cloudy days and the like can be added in the testing process in the fourth step, the testing times in the fourth step are 8-10 times, and the testing time is 15-30 min each time.
Further, the fifth step of testing the states of the headlights of the automobile comprises brightness adjustment, an irradiation angle and an irradiation distance.
Furthermore, the number of times of program test in the sixth step is 5-8, and the time of each test is 30-40 min.
Further, the data recorded in the sixth step includes the speed of the vehicle, the brightness of the surrounding environment and the simulated weather condition.
Further, in the step eight, during the field test, the whole-course shooting is performed through the camera device, and the field test time is 1h-2 h.
The embodiment of the invention has the following advantages:
by collecting the obtained information and combining the use scene of the automobile headlamp, the dimensionality information of each part of the automobile headlamp is analyzed by a numerical analysis method, the change state of the headlamp of the automobile when single signals in the transverse direction, the longitudinal direction or the turning direction are converted is respectively researched in an off-line state, further researching a multi-dimensional static mathematical model of the headlamp and the assembly, taking the static mathematical model in an off-line state as a basis, combining a vehicle dynamics model, considering the real-time change conditions of the automobile corner, the automobile speed and the automobile body height when the automobile runs, the multi-dimensional dynamic mathematical model of the front direction, the longitudinal direction and the bending degree of the automobile headlamp and the assembly is built by integrating factors such as the horizontal and vertical irradiation angles of the headlamp, and the safety problem that the traditional automobile headlamp cannot automatically adjust parameters such as the irradiation distance and the light and shade degree along with the changes of the automobile speed, the turning and the like is solved on the basis of the multi-dimensional dynamic mathematical model.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
the method for constructing the multi-dimensional dynamic mathematical model of the automobile headlamp comprises the following steps of:
the method comprises the following steps: collecting data such as the speed, the height and the turning angle of a vehicle, and establishing a digital model of the vehicle according to the collected data;
step two: collecting data such as the service brightness, the service life and the shock resistance of the automobile headlamp, and establishing a digital model of the automobile headlamp according to the data;
step three: building a multi-dimensional dynamic mathematical model of the front direction, the longitudinal direction and the camber of the automobile headlamp assembly according to the comprehensive data of the automobile and the automobile headlamp;
step four: collecting environmental data of various automobile driving road sections in a city, establishing a 3D model for the road section environment through 3D modeling software, establishing a test vehicle model, establishing the 3D model in the different road section environments for testing, and then correcting according to displayed problems to improve the fitting degree of the test vehicle model and the road section environment model;
step five: creating a program, associating the motion dynamics of the automobile headlamp with the driving state of the test vehicle, and repeatedly testing to ensure that the motion dynamics of various automobile headlamps sequentially correspond to different driving states of the test vehicle;
step six: after the program is calibrated, testing the reaction state of the headlights of the automobile when the automobile runs in different states of different road sections through test software, and recording data;
step seven: according to the problem of data response, modifying the multi-dimensional dynamic mathematical models of the forward direction, the longitudinal direction and the bending degree of the automobile headlamp assembly until the test data meet the standard;
step eight: and establishing a real object according to the corresponding data of the simulation test, performing a field test, acquiring the field test data, and performing comparative analysis on the field test data and the simulation test data.
Furthermore, in the first step, a digital corner sensor is adopted to test the corner of the vehicle running, a tester is adopted to test the speed, and a Hall sensor is adopted to measure the vehicle body.
Furthermore, the brightness of the automobile headlamp tested in the second step is adjustable, and the brightness of the automobile headlamp is inversely proportional to the brightness of the surrounding environment.
Further, in the third step, the forward movement angle of the headlamp of the automobile is 90 degrees, and the longitudinal movement angle of the headlamp is 80 degrees.
Further, the road sections in the fourth step comprise a camber, an uneven road surface and a slope, wherein the camber ranges from 90 degrees to 15 degrees.
Furthermore, weather factors such as raining, wind blowing and cloudy days can be added in the testing process in the fourth step, the testing times in the fourth step are 8 times, and the testing time is 15min each time.
Further, the fifth step of testing the states of the headlights of the automobile comprises brightness adjustment, an irradiation angle and an irradiation distance.
Further, the number of times of program test in the sixth step is 5, and the time of each test is 30 min.
Further, the data recorded in the sixth step includes the speed of the vehicle, the brightness of the surrounding environment and the simulated weather condition.
Further, in the eighth step, during the field test, the whole-course shooting is performed by the camera device, and the field test time is 1 h.
Example 2:
a multi-dimensional dynamic mathematical model construction method of an automobile headlamp comprises the following steps:
the method comprises the following steps: collecting data such as the speed, the height and the turning angle of a vehicle, and establishing a digital model of the vehicle according to the collected data;
step two: collecting data such as the service brightness, the service life and the shock resistance of the automobile headlamp, and establishing a digital model of the automobile headlamp according to the data;
step three: building a multi-dimensional dynamic mathematical model of the front direction, the longitudinal direction and the camber of the automobile headlamp assembly according to the comprehensive data of the automobile and the automobile headlamp;
step four: collecting environmental data of various automobile driving road sections in a city, establishing a 3D model for the road section environment through 3D modeling software, establishing a test vehicle model, establishing the 3D model in the different road section environments for testing, and then correcting according to displayed problems to improve the fitting degree of the test vehicle model and the road section environment model;
step five: creating a program, associating the motion dynamics of the automobile headlamp with the driving state of the test vehicle, and repeatedly testing to ensure that the motion dynamics of various automobile headlamps sequentially correspond to different driving states of the test vehicle;
step six: after the program is calibrated, testing the reaction state of the headlights of the automobile when the automobile runs in different states of different road sections through test software, and recording data;
step seven: according to the problem of data response, modifying the multi-dimensional dynamic mathematical models of the forward direction, the longitudinal direction and the bending degree of the automobile headlamp assembly until the test data meet the standard;
step eight: and establishing a real object according to the corresponding data of the simulation test, performing a field test, acquiring the field test data, and performing comparative analysis on the field test data and the simulation test data.
Furthermore, in the first step, a digital corner sensor is adopted to test the corner of the vehicle running, a tester is adopted to test the speed, and a Hall sensor is adopted to measure the vehicle body.
Furthermore, the brightness of the automobile headlamp tested in the second step is adjustable, and the brightness of the automobile headlamp is inversely proportional to the brightness of the surrounding environment.
Further, in the third step, the angle of forward movement of the headlamp of the automobile is 100 degrees, and the angle of longitudinal movement of the headlamp is 120 degrees.
Further, the road sections in the fourth step comprise a camber, an uneven road surface and a slope, wherein the camber ranges from 120 degrees to 30 degrees.
Furthermore, weather factors such as raining, wind blowing and cloudy days can be added in the testing process in the fourth step, the testing times in the fourth step are 9 times, and the testing time is 20min each time.
Further, the fifth step of testing the states of the headlights of the automobile comprises brightness adjustment, an irradiation angle and an irradiation distance.
Furthermore, the number of times of program test in the sixth step is 6, and the time of each test is 30min-40 min.
Further, the data recorded in the sixth step includes the speed of the vehicle, the brightness of the surrounding environment and the simulated weather condition.
Further, in the step eight, during the field test, the whole-course shooting is performed by the camera device, and the field test time is 1.5 h.
Example 3:
a multi-dimensional dynamic mathematical model construction method of an automobile headlamp comprises the following steps:
the method comprises the following steps: collecting data such as the speed, the height and the turning angle of a vehicle, and establishing a digital model of the vehicle according to the collected data;
step two: collecting data such as the service brightness, the service life and the shock resistance of the automobile headlamp, and establishing a digital model of the automobile headlamp according to the data;
step three: building a multi-dimensional dynamic mathematical model of the front direction, the longitudinal direction and the camber of the automobile headlamp assembly according to the comprehensive data of the automobile and the automobile headlamp;
step four: collecting environmental data of various automobile driving road sections in a city, establishing a 3D model for the road section environment through 3D modeling software, establishing a test vehicle model, establishing the 3D model in the different road section environments for testing, and then correcting according to displayed problems to improve the fitting degree of the test vehicle model and the road section environment model;
step five: creating a program, associating the motion dynamics of the automobile headlamp with the driving state of the test vehicle, and repeatedly testing to ensure that the motion dynamics of various automobile headlamps sequentially correspond to different driving states of the test vehicle;
step six: after the program is calibrated, testing the reaction state of the headlights of the automobile when the automobile runs in different states of different road sections through test software, and recording data;
step seven: according to the problem of data response, modifying the multi-dimensional dynamic mathematical models of the forward direction, the longitudinal direction and the bending degree of the automobile headlamp assembly until the test data meet the standard;
step eight: and establishing a real object according to the corresponding data of the simulation test, performing a field test, acquiring the field test data, and performing comparative analysis on the field test data and the simulation test data.
Furthermore, in the first step, a digital corner sensor is adopted to test the corner of the vehicle running, a tester is adopted to test the speed, and a Hall sensor is adopted to measure the vehicle body.
Furthermore, the brightness of the automobile headlamp tested in the second step is adjustable, and the brightness of the automobile headlamp is inversely proportional to the brightness of the surrounding environment.
Further, in the third step, the angle of forward movement of the headlamp of the automobile is 120 degrees, and the angle of longitudinal movement of the headlamp is 150 degrees.
Further, the road sections in the fourth step comprise a camber, an uneven road surface and a slope, wherein the camber ranges from 150 degrees, and the slope ranges from 45 degrees.
Furthermore, weather factors such as raining, wind blowing and cloudy days can be added in the testing process in the fourth step, the testing times in the fourth step are 10 times, and the testing time is 30min each time.
Further, the fifth step of testing the states of the headlights of the automobile comprises brightness adjustment, an irradiation angle and an irradiation distance.
Further, the number of times of program test in the sixth step is 8, and the time of each test is 40 min.
Further, the data recorded in the sixth step includes the speed of the vehicle, the brightness of the surrounding environment and the simulated weather condition.
Further, in the eighth step, during the field test, the whole-course shooting is performed by the camera device, and the field test time is 2 h.
Example 4:
the method in the above embodiment 1-3 is respectively used to establish a multidimensional dynamic mathematical model, and then the multidimensional dynamic mathematical model data established in the embodiment 1-3 are compared to obtain the following data:
Figure BDA0002833480880000081
as can be seen from the above table, the time taken to establish the multidimensional dynamic mathematical model in example 1 is short, the testing time is fast, and the testing accuracy is high.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.

Claims (10)

1. A multi-dimensional dynamic mathematical model construction method of an automobile headlamp is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps: collecting data such as the speed, the height and the turning angle of a vehicle, and establishing a digital model of the vehicle according to the collected data;
step two: collecting data such as the service brightness, the service life and the shock resistance of the automobile headlamp, and establishing a digital model of the automobile headlamp according to the data;
step three: building a multi-dimensional dynamic mathematical model of the front direction, the longitudinal direction and the camber of the automobile headlamp assembly according to the comprehensive data of the automobile and the automobile headlamp;
step four: collecting environmental data of various automobile driving road sections in a city, establishing a 3D model for the road section environment through 3D modeling software, establishing a test vehicle model, establishing the 3D model in the different road section environments for testing, and then correcting according to displayed problems to improve the fitting degree of the test vehicle model and the road section environment model;
step five: creating a program, associating the motion dynamics of the automobile headlamp with the driving state of the test vehicle, and repeatedly testing to ensure that the motion dynamics of various automobile headlamps sequentially correspond to different driving states of the test vehicle;
step six: after the program is calibrated, testing the reaction state of the headlights of the automobile when the automobile runs in different states of different road sections through test software, and recording data;
step seven: according to the problem of data response, modifying the multi-dimensional dynamic mathematical models of the forward direction, the longitudinal direction and the bending degree of the automobile headlamp assembly until the test data meet the standard;
step eight: and establishing a real object according to the corresponding data of the simulation test, performing a field test, acquiring the field test data, and performing comparative analysis on the field test data and the simulation test data.
2. The method for constructing the multi-dimensional dynamic mathematical model of the headlamp of the automobile according to claim 1, wherein the method comprises the following steps: in the first step, a digital corner sensor is adopted to test the corner of the vehicle running, a tester is adopted to test the speed, and a Hall sensor is adopted to measure the vehicle body.
3. The method for constructing the multi-dimensional dynamic mathematical model of the headlamp of the automobile according to claim 1, wherein the method comprises the following steps: and step two, the brightness of the automobile headlamp is tested to be adjustable, and the brightness of the automobile headlamp is inversely proportional to the brightness of the surrounding environment.
4. The method for constructing the multi-dimensional dynamic mathematical model of the headlamp of the automobile according to claim 1, wherein the method comprises the following steps: in the third step, the forward movement angle of the headlamp of the automobile is 90-120 degrees, and the longitudinal movement angle of the headlamp is 80-150 degrees.
5. The method for constructing the multi-dimensional dynamic mathematical model of the headlamp of the automobile according to claim 1, wherein the method comprises the following steps: the different road sections in the fourth step comprise the camber, the uneven road surface and the slope, the camber ranges from 90 degrees to 150 degrees, and the slope ranges from 15 degrees to 45 degrees.
6. The method for constructing the multi-dimensional dynamic mathematical model of the headlamp of the automobile according to claim 1, wherein the method comprises the following steps: weather factors such as raining, wind blowing, cloudy days and the like can be added in the testing process in the fourth step, the testing times in the fourth step are 8-10, and the testing time is 15-30 min each time.
7. The method for constructing the multi-dimensional dynamic mathematical model of the headlamp of the automobile according to claim 1, wherein the method comprises the following steps: and fifthly, testing the states of the headlights of the automobile by adjusting the brightness, the irradiation angle and the irradiation distance.
8. The method for constructing the multi-dimensional dynamic mathematical model of the headlamp of the automobile according to claim 1, wherein the method comprises the following steps: in the sixth step, the number of times of program test is 5-8, and the time of each test is 30-40 min.
9. The method for constructing the multi-dimensional dynamic mathematical model of the headlamp of the automobile according to claim 1, wherein the method comprises the following steps: and recording data in the sixth step, wherein the recorded data comprises the speed of the automobile, the brightness of the surrounding environment and the simulated weather condition.
10. The method for constructing the multi-dimensional dynamic mathematical model of the headlamp of the automobile according to claim 1, wherein the method comprises the following steps: and in the step eight, the whole-course shooting is carried out through the camera equipment in the field test process, and the field test time is 1-2 h.
CN202011464450.8A 2020-12-14 2020-12-14 Multi-dimensional dynamic mathematical model construction method of automobile headlamp Pending CN112560179A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011464450.8A CN112560179A (en) 2020-12-14 2020-12-14 Multi-dimensional dynamic mathematical model construction method of automobile headlamp

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011464450.8A CN112560179A (en) 2020-12-14 2020-12-14 Multi-dimensional dynamic mathematical model construction method of automobile headlamp

Publications (1)

Publication Number Publication Date
CN112560179A true CN112560179A (en) 2021-03-26

Family

ID=75064057

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011464450.8A Pending CN112560179A (en) 2020-12-14 2020-12-14 Multi-dimensional dynamic mathematical model construction method of automobile headlamp

Country Status (1)

Country Link
CN (1) CN112560179A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114002964A (en) * 2021-11-01 2022-02-01 长安福特汽车有限公司 Intelligent running light function verification method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114002964A (en) * 2021-11-01 2022-02-01 长安福特汽车有限公司 Intelligent running light function verification method
CN114002964B (en) * 2021-11-01 2023-12-22 长安福特汽车有限公司 Intelligent driving lighting lamp function verification method

Similar Documents

Publication Publication Date Title
CN108982117B (en) Unmanned vehicle testing system and method
CN117836653A (en) Road side millimeter wave radar calibration method based on vehicle-mounted positioning device
DE102020112314A1 (en) VERIFICATION OF VEHICLE IMAGES
US9500339B2 (en) Method and a device for testing a lighting driving assistance system
CN103927754B (en) A kind of scaling method of vehicle-mounted vidicon
CN109263652B (en) Method for measuring and checking front visual field of driver
CN110930365B (en) Orthogonal vanishing point detection method under traffic scene
CN102230794B (en) Method for dynamically measuring sight distance of drivers based on video
US11270164B1 (en) Vehicle neural network
CN111751118A (en) Test method for obtaining vehicle primary comfort index
CN116597690B (en) Highway test scene generation method, equipment and medium for intelligent network-connected automobile
CN112560179A (en) Multi-dimensional dynamic mathematical model construction method of automobile headlamp
CN114201890A (en) Method for constructing abnormal event scene library of expressway
CN115079143B (en) Multi-radar external parameter quick calibration method and device for double-bridge steering mine card
CN110727104A (en) Automobile front windshield glass imaging checking method and automobile
CN111723672B (en) Method and device for acquiring video recognition driving track and storage medium
CN113012239B (en) Quantitative calculation method for focal length change of vehicle-road cooperative roadside perception camera
EP3688412A1 (en) Method and device for determining a highly precise position and for operating an automated vehicle
CN114166522A (en) Method and system for measuring indirect visual field device of automobile
CN114386223A (en) Real scene-based driving test simulator examination room model creation method
CN113706911A (en) Automatic driving method based on digital traffic scene
CN112729366A (en) Test evaluation method and device for weather simulation equipment for automatic driving field test
CN118230036A (en) Yolov 5-based method for detecting on-off condition of automobile exterior lamp
CN109760582B (en) Automatic control method for meeting anti-dazzling car lights based on internet of vehicles
Narayanan et al. Automotive vision & obstruction assessment for driver

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20210326