CN114906043A - Automobile track prediction system and method - Google Patents

Automobile track prediction system and method Download PDF

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Publication number
CN114906043A
CN114906043A CN202210629208.4A CN202210629208A CN114906043A CN 114906043 A CN114906043 A CN 114906043A CN 202210629208 A CN202210629208 A CN 202210629208A CN 114906043 A CN114906043 A CN 114906043A
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China
Prior art keywords
vehicle
width
signal
automobile
light
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Pending
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CN202210629208.4A
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Chinese (zh)
Inventor
丛衍钞
王子军
李志刚
赵文渤
魏佳勇
孙福鑫
于晓倩
梁海洋
王春哲
钟鑫
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FAW Bestune Car Co Ltd
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FAW Bestune Car Co Ltd
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Priority to CN202210629208.4A priority Critical patent/CN114906043A/en
Publication of CN114906043A publication Critical patent/CN114906043A/en
Pending legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60QARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q1/00Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60QARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q2400/00Special features or arrangements of exterior signal lamps for vehicles
    • B60Q2400/50Projected symbol or information, e.g. onto the road or car body
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40Control techniques providing energy savings, e.g. smart controller or presence detection

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention relates to the technical field of auxiliary driving, in particular to an automobile track prediction system and an automobile track prediction method. This technical scheme can provide visual prediction car orbit for the driver under dim light, provides visual reference to the driver, avoids taking place to meet the car at night, rubs between vehicle and the roadblock, and then reduces the person and property damage.

Description

Automobile track prediction system and method
Technical Field
The invention relates to the technical field of auxiliary driving, in particular to an automobile track prediction system and method.
Background
At night, due to the adverse factors such as dim light and the like, the judgment of the automobile driving track by a driver becomes extremely difficult, and further meeting between vehicles on a narrow road surface and avoidance between the vehicles and roadblocks become great tests for the automobile driver. At present, the early warning and prompting function of the automobile barriers is mainly realized through a radar prompting technology, namely, radar sensors are distributed around a vehicle, when the distance between the vehicle and the barriers is measured, the vehicle is prompted through sound and the like when the calibrated distance is reached, and no prompting information exists outside the calibrated distance. Under the condition of vehicle meeting between narrow road vehicles and the condition of avoiding between vehicles and roadblocks at actual night, when the radar sensor detects that the distance between the vehicle and other entities reaches the standard distance to prompt, the vehicle often needs to repeatedly adjust the direction again to smoothly pass through. Therefore, the problems that the visibility is poor, the prediction cannot be carried out in advance and the like exist in the current radar alarm technology and the like.
Content of application
The invention provides an automobile track prediction system for solving the problems of poor visibility, incapability of predicting in advance and the like of automobile track prediction.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the utility model provides a car orbit prediction system, is including catching the driver demand sensor that the driver opened car orbit prediction system, driver demand sensor transmits demand signal to car end logic control unit, car end logic control unit lights the signal to intelligent light execution unit output, intelligent light execution unit sends the light of sign car width to the car direction of travel.
Further, the automobile width comprises a body width and an additional rearview mirror body width.
Furthermore, the light rays for marking the width of the automobile are high-definition illumination lines with brightness higher than that of the surrounding environment, and comprise additional rearview mirror automobile body equal-width sign lines and automobile body equal-width sign lines.
Furthermore, the intelligent light execution unit emits light to any one of the areas among the mark lines with the equal width of the additional rearview mirror body, the mark lines with the equal width of the vehicle body, the mark lines with the equal width of the additional rearview mirror body and the mark lines with the equal width of the vehicle body.
Further, the brightness of the area between the vehicle body equal-width sign line of the additional rear view mirror and the vehicle body equal-width sign line is different from the brightness of the area between the vehicle body equal-width sign lines.
Further, the vehicle end logic control unit acquires a dipped headlight lighting signal and a vehicle running signal through a bus, wherein the dipped headlight lighting signal is a signal for detecting whether the dipped headlight is in an on state, and the vehicle running signal is a signal for detecting whether the vehicle is in a running state.
Further, the vehicle-end logic control unit comprises a prompting module, wherein the prompting module is electrically connected with the vehicle-end logic control unit.
Further, the intelligent light execution unit comprises light emitting sources distributed in an array.
A vehicle track prediction method comprises the following steps:
s10, capturing an instruction of a driver for starting the automobile track prediction system by a driver demand sensor;
s21, acquiring a dipped headlight lighting signal and a vehicle running signal;
s22, when the automobile track prediction system is in accordance with the starting condition, the automobile end logic control unit outputs a lighting signal to the intelligent light execution unit;
and S30 the intelligent light execution unit emits light for marking the width of the automobile towards the driving direction of the automobile.
Further, the lighting signals comprise a primary lighting signal for emitting dipped headlight illumination, a secondary lighting signal for emitting the vehicle body equal-width sign line and a tertiary lighting signal for emitting the additional rearview mirror vehicle body equal-width sign line.
The invention has the beneficial effects that:
1. this technical scheme can provide visual prediction car orbit for the driver under dim light, provides visual reference to the driver, avoids taking place to meet the car at night, rubs between vehicle and the roadblock, and then reduces the person and property damage.
2. According to the technical scheme, the calibrated high-definition lighting sign line with the width equal to that of the automobile body and the calibrated high-definition lighting sign line with the width of the automobile body of the rearview mirror are used for accurately providing the predicted running track of the automobile right ahead for the driver.
Drawings
FIG. 1 is a logic diagram for vehicle trajectory prediction in accordance with the present invention;
FIG. 2 is a schematic view of the vehicle trajectory prediction of the present invention;
Detailed Description
The present invention will be described in further detail with reference to the following drawings and specific embodiments. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It should be noted that the terms "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to directions in the drawings, and the terms "inner" and "outer" refer to directions toward and away from the geometric center of a specific part, respectively, and those skilled in the art should not understand that the technology beyond the scope of the present invention is simply, without inventive adjustment.
In the description of the present invention, unless otherwise specified or limited, the term "connected" is to be understood broadly, and may be, for example, a mechanical connection or an electrical connection, or a communication between two elements, or may be a direct connection or an indirect connection through an intermediate medium, and the specific meaning of the above terms may be understood by those skilled in the art according to specific situations.
Example 1:
referring to fig. 1 and 2, a vehicle trajectory prediction system includes a driver demand sensor for capturing whether a driver needs to turn on the vehicle trajectory prediction system to assist driving, and the driver demand sensor transmits a demand signal to a vehicle end logic control unit. The vehicle end logic control unit simultaneously acquires a dipped headlight lighting signal and a vehicle running signal on the bus to judge whether the vehicle meets the condition of starting the vehicle track prediction system. And after the vehicle meets the condition of starting the vehicle track prediction system, the vehicle end logic control unit outputs a lighting signal to the intelligent light execution unit.
The intelligent light execution unit comprises light emitting sources distributed in an array, the light emitting sources are LEDs, and the light emitting sources distributed in the array are calibrated according to the width of an automobile track when the automobile leaves a factory. The calibration content comprises the following steps: the combination of the first series of lamps is designated as module 1, the combination of the second series of lamps is designated as module 2 and the combination of the third series of lamps is designated as module 3. The calibrated marking light module can realize graded high-definition lighting, and the light range of the dipped headlight is the first-level lighting brightness of the module 2; the width of light emitted by the module 3 is equal to the width of the vehicle body, the boundaries of two sides in the width direction of the light form a vehicle body equal-width high-definition illumination line, the vehicle body equal-width high-definition illumination line is a vehicle body equal-width sign line and is more prominent than the surrounding brightness, and the light state is the secondary lighting brightness of the module 3; the width of light emitted by the module 1 is equal to the width of an additional rearview mirror body, high-definition illumination lines with the same width as the additional rearview mirror body are formed on the boundaries of the two sides in the width direction of the light, the high-definition illumination lines with the same width as the additional rearview mirror body are mark lines with the same width as the additional rearview mirror body and are more prominent than surrounding brightness, and the lighting state is the three-level lighting brightness of the module 1. The brightness of the range between the vehicle body equal-width sign line of the additional rearview mirror and the vehicle body equal-width sign line is the same as the brightness in the vehicle body equal-width sign line.
The driver demand sensor is a sensor for receiving whether the driver needs to turn on the automobile track prediction system to assist driving, and the sensor in the embodiment is an entity trigger switch.
The low beam lighting signal is a signal for detecting whether the low beam has been turned on. The vehicle operation signal is a signal for detecting whether the vehicle is in an operation state.
The vehicle end logic control unit is also connected with a prompting module, and when the vehicle does not meet the condition of starting the vehicle track prediction system, the prompting mode of the prompting module is a sounding prompt.
The car end logic control unit outputs the lighting signals to the intelligent light execution unit, wherein the lighting signals comprise a module 2 first-level lighting signal, a module 3 second-level lighting signal and a module 1 third-level lighting signal.
According to fig. 1 and 2, the present invention provides a method for predicting a vehicle trajectory, in which a driver demand sensor captures whether a driver needs to start a vehicle trajectory prediction system, and the driver demand sensor receives a start instruction and then sends a demand signal to a vehicle end logic control unit. And the vehicle end logic control unit acquires a dipped headlight lighting signal and a vehicle running signal on the bus after receiving the demand signal and judges whether the vehicle meets the condition of starting the vehicle track prediction system. When the vehicle meets the condition of starting the vehicle track prediction system, the vehicle end logic control unit outputs a lighting signal to the intelligent light execution unit; when the vehicle does not meet the condition of starting the automobile track prediction system, the prompting mode of the prompting module is a sound production prompting mode.
The intelligent light execution unit sends out a light high-definition lighting sign line for marking the automobile track to the front of the automobile driving direction, and visual automobile track prediction is provided for a driver. The intelligent light execution unit comprises light emitting sources distributed in an array, the light emitting sources are LED lamp groups, and the light emitting sources are calibrated according to the width of an automobile track when the automobile leaves a factory. Setting the light range of the dipped headlight as the first-stage lighting brightness of the module 2; setting the range of the light emitted with the same width as the vehicle body as the secondary lighting brightness of the module 3, wherein the boundaries of two sides in the width direction of the light form a vehicle body equal-width sign line which is more prominent than the surrounding brightness; the range of light emitted out of the rearview mirror with the same width as the vehicle body of the external rearview mirror is set as three-level lightening brightness of the module 1, and the boundaries of two sides in the width direction of the light form a vehicle body equal-width sign line which is more prominent than the surrounding brightness.
The driver demand sensor is a physical trigger switch and is used for receiving whether the driver needs to turn on the automobile track prediction system for driving assistance.
The low beam lighting signal is a signal for detecting whether the low beam is already in an on state. The vehicle operation signal is a signal for detecting whether the vehicle is in an operation state.
The car end logic control unit outputs the lighting signals to the intelligent light execution unit, wherein the lighting signals comprise a module 2 first-level lighting signal, a module 3 second-level lighting signal and a module 1 third-level lighting signal.
Example 2:
referring to fig. 1 and 2, a vehicle trajectory prediction system includes a driver demand sensor for capturing whether a driver needs to turn on the vehicle trajectory prediction system to assist driving, and the driver demand sensor transmits a demand signal to a vehicle end logic control unit. The vehicle end logic control unit simultaneously acquires a dipped headlight lighting signal and a vehicle running signal on the bus to judge whether the vehicle meets the condition of starting the vehicle track prediction system. And after the vehicle meets the condition of starting the vehicle track prediction system, the vehicle end logic control unit outputs a lighting signal to the intelligent light execution unit.
The intelligent light execution unit comprises light emitting sources distributed in an array, the light emitting sources are parallel headlamps, and the light emitting sources distributed in the array are calibrated according to the width of an automobile track when the automobile leaves a factory. The calibration content comprises the following steps: the combination of the first series of lamps is designated as module 1, the combination of the second series of lamps is designated as module 2 and the combination of the third series of lamps is designated as module 3. The calibrated marking light module can realize graded high-definition lighting, and the light range of the dipped headlight is the first-level lighting brightness of the module 2; the width of light emitted by the module 3 is equal to the width of the vehicle body, the boundaries of two sides in the width direction of the light form a vehicle body equal-width high-definition illumination line, the vehicle body equal-width high-definition illumination line is a vehicle body equal-width sign line and is more prominent than the surrounding brightness, and the light state is the secondary lighting brightness of the module 3; the width of light emitted by the module 1 is equal to the width of an additional rearview mirror body, high-definition illumination lines with the same width as the additional rearview mirror body are formed on the boundaries of the two sides in the width direction of the light, the high-definition illumination lines with the same width as the additional rearview mirror body are mark lines with the same width as the additional rearview mirror body and are more prominent than surrounding brightness, and the lighting state is the three-level lighting brightness of the module 1. The brightness of the range between the vehicle body equal-width sign line of the additional rearview mirror and the vehicle body equal-width sign line is different from the brightness in the vehicle body equal-width sign line.
The driver demand sensor is a sensor for receiving whether a driver needs to turn on the automobile track prediction system to assist driving, and the sensor in the embodiment is a screen soft switch.
The low beam lighting signal is a signal for detecting whether the low beam is already in an on state. The vehicle operation signal is a signal for detecting whether the vehicle is in an operation state.
The vehicle end logic control unit is also connected with a prompting module, and when the vehicle does not meet the condition of starting the vehicle track prediction system, the prompting mode of the prompting module is luminous prompting.
The car end logic control unit outputs the lighting signals to the intelligent light execution unit, wherein the lighting signals comprise a module 2 first-level lighting signal, a module 3 second-level lighting signal and a module 1 third-level lighting signal.
According to fig. 1 and 2, the present invention provides a method for predicting a vehicle trajectory, in which a driver demand sensor captures whether a driver needs to start a vehicle trajectory prediction system, and the driver demand sensor receives a start instruction and then sends a demand signal to a vehicle end logic control unit. And the vehicle end logic control unit acquires a dipped headlight lighting signal and a vehicle running signal on the bus after receiving the demand signal and judges whether the vehicle meets the condition of starting the vehicle track prediction system. When the vehicle meets the condition of starting the vehicle track prediction system, the vehicle end logic control unit outputs a lighting signal to the intelligent light execution unit; when the vehicle does not meet the condition of starting the automobile track prediction system, the prompting mode of the prompting module is luminous prompting.
The intelligent light execution unit sends out a light high-definition lighting sign line for marking the automobile track to the front of the automobile driving direction, and visual automobile track prediction is provided for a driver. The intelligent light execution unit comprises light emitting sources distributed in an array mode, the light emitting sources are parallel headlamps, and the intelligent light execution unit is calibrated according to the width of an automobile track when an automobile leaves a factory. Setting the light range of the dipped headlight as the first-level lighting brightness of the module 2; setting the range of the light emitted with the same width as the vehicle body as the secondary lighting brightness of the module 3, wherein the boundaries of two sides in the width direction of the light form a vehicle body equal-width sign line which is more prominent than the surrounding brightness; the range of light emitted out of the automobile body with the same width as the automobile body of the additional rearview mirror is set as three-level lighting brightness of the module 1, and the boundaries of the two sides in the width direction of the light form automobile body equal-width sign lines which are more prominent than the surrounding brightness.
The driver demand sensor is a screen soft switch and is used for receiving whether the driver needs to turn on the automobile track prediction system for driving assistance.
The low beam lighting signal is a signal for detecting whether the low beam is already in an on state. The vehicle operation signal is a signal for detecting whether the vehicle is in an operation state.
The car end logic control unit outputs the lighting signals to the intelligent light execution unit, wherein the lighting signals comprise a module 2 first-level lighting signal, a module 3 second-level lighting signal and a module 1 third-level lighting signal.
Example 3:
referring to fig. 1 and 2, a vehicle trajectory prediction system includes a driver demand sensor for capturing whether a driver needs to turn on the vehicle trajectory prediction system to assist driving, and the driver demand sensor transmits a demand signal to a vehicle end logic control unit. The vehicle end logic control unit simultaneously acquires a dipped headlight lighting signal and a vehicle running signal on the bus to judge whether the vehicle meets the condition of starting the vehicle track prediction system. And after the vehicle meets the condition of starting the vehicle track prediction system, the vehicle end logic control unit outputs a lighting signal to the intelligent light execution unit.
The intelligent light execution unit comprises light emitting sources distributed in an array, the light emitting sources are LEDs, and the light emitting sources distributed in the array are calibrated according to the width of an automobile track when the automobile leaves a factory. The calibration content comprises the following steps: the combination of the first series of lamps is designated as module 1, the combination of the second series of lamps is designated as module 2 and the combination of the third series of lamps is designated as module 3. The calibrated marking light module can realize graded high-definition lighting, and the light range of the dipped headlight is the first-level lighting brightness of the module 2; the module 3 emits boundary light with the same width as the vehicle body, namely the vehicle body equal-width high-definition illumination line, the vehicle body equal-width high-definition illumination line is a vehicle body equal-width marking line and is more bright than the surrounding environment, the module 3 does not emit light between the vehicle body equal-width marking lines, and the lighting state is the secondary lighting brightness of the module 3; the module 1 emits boundary light with the same width as the additional rearview mirror body, namely the boundary light is the high-definition illumination line with the same width as the additional rearview mirror body, the high-definition illumination line with the same width as the additional rearview mirror body is an additional rearview mirror body mark line with the same width as the additional rearview mirror body and is more bright than the surrounding environment, the module 1 does not emit light between the mark lines with the same width as the additional rearview mirror body, and the lighting state is the three-stage lighting brightness of the module 1.
The driver demand sensor is a sensor for receiving whether a driver needs to turn on the automobile track prediction system to assist driving, and the sensor is a voice source sensor.
The low beam lighting signal is a signal for detecting whether the low beam is already in an on state. The vehicle operation signal is a signal for detecting whether the vehicle is in an operation state.
The vehicle end logic control unit is also connected with a prompting module, and when the vehicle does not meet the condition of starting the vehicle track prediction system, the prompting module prompts in a mode of displaying text and patterns.
The car end logic control unit outputs the lighting signals to the intelligent light execution unit, wherein the lighting signals comprise a module 2 first-level lighting signal, a module 3 second-level lighting signal and a module 1 third-level lighting signal.
According to fig. 1 and 2, the present invention provides a method for predicting a vehicle trajectory, in which a driver demand sensor captures whether a driver needs to start a vehicle trajectory prediction system, and the driver demand sensor receives a start instruction and then sends a demand signal to a vehicle end logic control unit. And the vehicle end logic control unit acquires a dipped headlight lighting signal and a vehicle running signal on the bus after receiving the demand signal and judges whether the vehicle meets the condition of starting the vehicle track prediction system. When the vehicle meets the condition of starting the vehicle track prediction system, the vehicle end logic control unit outputs a lighting signal to the intelligent light execution unit; when the vehicle does not meet the condition of starting the vehicle track prediction system, the prompting mode of the prompting module is to display text and pattern prompt.
The intelligent light execution unit sends out a light high-definition lighting sign line for marking the automobile track to the front of the automobile driving direction, and visual automobile track prediction is provided for a driver. The intelligent light execution unit comprises light emitting sources distributed in an array, the light emitting sources are LED lamp groups, and the light emitting sources are calibrated according to the width of an automobile track when the automobile leaves a factory. Setting the light range of the dipped headlight as the first-level lighting brightness of the module 2; setting boundary light rays with the same width as the vehicle body as secondary lighting brightness of the module 3, wherein the boundary light rays with the same width as the vehicle body are mark lines with the same width as the vehicle body and are more prominent than the brightness of the surrounding environment; boundary light rays with the same width as the additional rearview mirror body are set to be the three-level lighting brightness of the module 1, and the boundary light rays with the same width as the additional rearview mirror body are the marking lines with the same width as the vehicle body and are more prominent than the brightness of the surrounding environment.
The driver demand sensor is a voice source sensor and is used for receiving whether a driver needs to turn on the automobile track prediction system for driving assistance.
The low beam lighting signal is a signal for detecting whether the low beam is already in an on state. The vehicle operation signal is a signal for detecting whether the vehicle is in an operation state.
The car end logic control unit outputs the lighting signals to the intelligent light execution unit, wherein the lighting signals comprise a module 2 first-level lighting signal, a module 3 second-level lighting signal and a module 1 third-level lighting signal.
It should be understood that although the present invention has been described in terms of embodiments, not every embodiment includes only a single embodiment, and such description is for clarity only, and those skilled in the art will recognize that the embodiments described herein may be combined as a whole to form other embodiments as would be understood by those skilled in the art.
It should be noted that the above embodiments are only for explaining the technical solutions of the present invention, and are not intended to limit the scope of the present invention, and equivalent embodiments or modifications made without departing from the technical spirit of the present invention should be included in the scope of the present invention.

Claims (10)

1. The utility model provides an automobile track prediction system, its characterized in that, is including catching driver demand sensor that the driver opened automobile track prediction system, driver demand sensor transmits demand signal to car end logic control unit, car end logic control unit is to intelligent light execution unit output signal of lighting, intelligence light execution unit sends the light of sign automobile width to the automobile direction of travel.
2. The vehicle trajectory prediction system of claim 1, wherein the vehicle width comprises a body width and an add-on mirror body width.
3. The system of claim 2, wherein the light for indicating the width of the vehicle is a high-definition illumination line which is more bright than the surrounding environment, and comprises an additional rearview mirror equal-width sign line and a vehicle equal-width sign line.
4. The system of claim 3, wherein the intelligent light actuator emits light to any one of the regions between the additional rearview mirror equal width sign lines, and between the additional rearview mirror equal width sign lines and the additional rearview mirror equal width sign lines.
5. The system of claim 4, wherein the brightness of the area between the additional rearview mirror equal-width sign line and the equal-width sign line is different from the brightness of the area between the equal-width sign lines.
6. The system of claim 1, wherein the on-board logic control unit collects a low beam lighting signal and a vehicle running signal via the bus, the low beam lighting signal is a signal for detecting whether the low beam is turned on, and the vehicle running signal is a signal for detecting whether the vehicle is running.
7. The vehicle trajectory prediction system of claim 1, further comprising a prompt module electrically connected to the end-of-vehicle logic control unit.
8. The system of claim 1, wherein the smart light actuator comprises an array of light sources.
9. A method for predicting a vehicle trajectory is characterized by comprising the following steps:
s10, capturing an instruction of a driver for starting the automobile track prediction system by a driver demand sensor;
s21, acquiring a dipped headlight lighting signal and a vehicle running signal;
s22, when the automobile track prediction system starting condition is met, the automobile end logic control unit outputs a lighting signal to the intelligent light execution unit;
and S30 the intelligent light execution unit emits light for marking the width of the automobile towards the driving direction of the automobile.
10. The method according to claim 8, wherein the lighting signals include a primary lighting signal for emitting a low beam illumination, a secondary lighting signal for emitting a vehicle body equal width sign line, and a tertiary lighting signal for emitting a vehicle body equal width sign line added with a rear view mirror.
CN202210629208.4A 2022-05-30 2022-05-30 Automobile track prediction system and method Pending CN114906043A (en)

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