JPWO2020208772A1 - Vehicle posture measuring device and vehicle posture measuring method - Google Patents

Abstract

In the vehicle posture measuring device (10), the scan line data acquisition unit (11) acquires the luminance distribution data on the horizontal scan line (SL) from the image taken in front of the own vehicle (100). The white line component detection unit (14) has a white line component corresponding to each of the left and right lane markings (111, 112) of the lane in which the own vehicle (100) is traveling from a spatio-temporal image formed by arranging the luminance distribution data in time series. (L1, L2) is detected. In the posture calculation unit (16), the position of the white line component (L1) corresponding to the left division line (111) and the position of the white line component (L2) corresponding to the right division line (112) change in the same direction. Then, the yaw angle of the own vehicle (100) is calculated based on the change, and the position of the white line component (L1) corresponding to the left lane marking (111) and the white line corresponding to the right lane marking (112) are calculated. When the positions of the components (L2) change in opposite directions, the pitch angle of the own vehicle (100) is calculated based on the changes.

Description

The present invention relates to a vehicle posture measuring device for measuring the posture of a vehicle.

A vehicle control device that determines the situation around the vehicle based on an image of the surroundings of the vehicle taken by an in-vehicle camera and controls the running of the vehicle according to the determination result has become widespread. In recent years, augmented reality (AR) technology has been used to superimpose additional information on the actual scenery around the vehicle by using a display device that displays an image on a screen that the driver can see, such as a head-up display. Development is in progress.

In order to improve the reliability of such technology, it is important to correctly judge the posture of the vehicle. For example, if the posture of the vehicle changes when the vehicle-mounted camera takes a picture of the surroundings of the vehicle, the shooting direction of the vehicle-mounted camera shifts and it becomes difficult to correctly judge the situation around the vehicle. It is required to correct the deviation in the shooting direction. Further, in the case of superimposing the AR image on the scenery around the vehicle and displaying it, if the posture of the vehicle changes, the display position of the AR image with respect to the scenery shifts and the visibility of the AR image deteriorates. It is required to correct the display position of the AR image according to the change of.

The posture of the vehicle can be measured by, for example, a gyro sensor. However, a general gyro sensor is difficult to handle because it has a large system error and requires regular calibration, and a high-precision gyro sensor is very expensive and lacks practicality.

On the other hand, with the widespread use of vehicles and drive recorders that have preventive safety functions or autonomous driving functions, it is expected that most vehicles will be equipped with cameras in the near future. Therefore, various techniques for measuring the posture of the vehicle by using the image of the front of the vehicle taken by the in-vehicle camera have been proposed. For example, in Patent Document 1 below, a part of an image in front of a vehicle taken by an in-vehicle camera is set as a reference image, and an approximate image close to the reference image is detected from the same image taken after a certain period of time and used as a reference. A technique for measuring a change in the posture of a vehicle (pitching amount) from the amount of deviation between the position of an image and the position of an approximate image is disclosed. Further, in Patent Document 2, an image of a lane lane marking is extracted from an image of the front of the vehicle taken by an in-vehicle camera, and the extracted lane marking image is used with the width direction of the vehicle as the horizontal axis and the front-rear direction of the vehicle as the vertical axis. A technique of converting into an image of a plane coordinate system as an axis and measuring a vehicle attitude (pitch angle) from the inclination of a lane marking in the image of the plane coordinate system is disclosed.

Japanese Unexamined Patent Publication No. 9-161060 JP-A-11-203445

In order to detect an approximate image in the technique of Patent Document 1 and an image of a lane marking in the technique of Patent Document 2, it is necessary to perform image processing on the entire image in front of the vehicle or an area having a certain area. .. In addition, when an object around the vehicle (especially a moving object such as another vehicle) is reflected in the image processing range, or when the visibility is poor at night or in bad weather, the desired image cannot be detected and the vehicle There is concern that the posture cannot be measured.

The present invention has been made to solve the above problems, and is a vehicle posture measuring device that calculates the posture of a vehicle from an image of the front of the vehicle taken by an in-vehicle camera and is not easily affected by the environment around the vehicle. The purpose is to provide.

The vehicle attitude measuring device according to the present invention includes a scan line data acquisition unit that acquires brightness distribution data on a predetermined horizontal scan line from an image taken in front of the vehicle, and a brightness distribution data arranged in chronological order. The spatiotemporal image creation unit that creates a spatiotemporal image, the white line component detection unit that detects the white line component corresponding to each of the left and right lane markings of the lane in which the vehicle is traveling, and the left and right lane markings When the change in the position of each corresponding white line component is detected and the position of the white line component corresponding to the left lane marking and the position of the white line component corresponding to the right lane marking change in the same direction, the change is made. The yaw angle of the vehicle is calculated based on this, and when the position of the white line component corresponding to the left lane marking and the position of the white line component corresponding to the right lane marking change in opposite directions, based on the change. It is provided with an attitude calculation unit that calculates the attitude of the vehicle by calculating the pitch angle of the vehicle.

The vehicle posture measuring device according to the present invention calculates the posture (yaw angle and pitch angle) of the vehicle from a spatiotemporal image formed by arranging the brightness distribution data on the horizontal scan line of the front image in chronological order. Since the horizontal scan line is a line-shaped area with a width of at least 1 pixel, the horizontal scan line is a position where the road surface of the lane in which the vehicle is traveling and the lane markings on both sides of the horizontal scan line are always reflected, conversely, the vehicle It can be easily set at a position where the environment other than the road surface of the driving lane and the lane markings on both sides of the road surface is not reflected. Therefore, the posture of the vehicle calculated by the vehicle posture measuring device is not easily affected by the environment around the vehicle, and the vehicle posture measuring device can stably measure the posture of the vehicle.

Objectives, features, aspects, and advantages of the present invention will be made more apparent with the following detailed description and accompanying drawings.

It is a figure which shows the structure of the vehicle posture measuring apparatus which concerns on Embodiment 1. FIG. It is a figure which shows the example of the front image. It is a figure which shows the example of the arrangement of the horizontal scan line. It is a figure which shows the example of the luminance distribution data. It is a figure which shows an example of a spatiotemporal image. It is a figure which shows the example of the white line component extracted from a spatiotemporal image. It is a figure for demonstrating the relationship between the change of the yaw angle of the own vehicle, and the change of the position of a lane marking on the front image. It is a figure for demonstrating the relationship between the change of the pitch angle of own vehicle, and the change of the position of the lane marking on the front image. It is a figure for demonstrating the relationship between the change of the yaw angle and the pitch angle of own vehicle, and the change of the position of a white line component. It is a flowchart which shows the operation of the vehicle posture measuring apparatus which concerns on Embodiment 1. FIG. It is a flowchart which shows the spatiotemporal image creation process. It is a flowchart which shows the posture calculation process. It is a figure which shows the example of the hardware composition of the vehicle posture measuring apparatus. It is a figure which shows the example of the hardware composition of the vehicle posture measuring apparatus. It is a figure which shows the structure of the vehicle posture measuring apparatus which concerns on Embodiment 2. It is a figure which shows the example of the white line component extracted from the spatiotemporal image when the division line on the right side of the lane in which the own vehicle is traveling is a broken line. It is a figure for demonstrating the operation of the white line component interpolation part. It is a flowchart which shows the operation of the vehicle posture measuring apparatus which concerns on Embodiment 2. It is a flowchart which shows the white line component interpolation processing. It is a figure which shows the structure of the vehicle posture measuring apparatus which concerns on Embodiment 3. It is a figure which shows the example of the white line component extracted from the spatiotemporal image when the own vehicle changes lanes. It is a figure for demonstrating the operation of the lane change determination part. It is a flowchart which shows the operation of the vehicle posture measuring apparatus which concerns on Embodiment 3. It is a flowchart which shows the lane change correspondence processing.

<Embodiment 1>
FIG. 1 is a diagram showing a configuration of a vehicle posture measuring device 10 according to a first embodiment. In the present embodiment, it is assumed that the vehicle posture measuring device 10 is mounted on the vehicle 100. However, the vehicle posture measuring device 10 does not necessarily have to be permanently installed in the vehicle 100, and may be configured as a portable device such as a mobile phone, a smartphone, or a portable navigation device. Hereinafter, the vehicle equipped with the vehicle posture measuring device 10 is referred to as "own vehicle".

The vehicle posture measuring device 10 is connected to the vehicle-mounted camera 1 that captures the front of the own vehicle 100, and calculates the posture of the own vehicle 100 based on the image captured by the vehicle-mounted camera 1. Hereinafter, the image in front of the own vehicle 100 taken by the vehicle-mounted camera 1 is referred to as a "front image".

An example of the front image is shown in FIG. The front image of FIG. 2 shows the bonnet of the own vehicle 100, the preceding vehicle 101 which is a vehicle traveling in front of the own vehicle 100, the oncoming vehicle 102 which is a vehicle traveling in the oncoming lane of the own vehicle 100, and the own vehicle. The left and right lane markings 111 and 112 of the lane in which the vehicle 100 is traveling are reflected. Hereinafter, the left and right lane markings of the lane in which the own vehicle 100 is traveling may be simply referred to as "left lane marking" and "right lane marking". In this embodiment, it is assumed that the left and right lane markings 111 and 112 are solid lines.

As shown in FIG. 1, the vehicle attitude measuring device 10 includes a scan line data acquisition unit 11, a spatiotemporal image creation unit 12, a spatiotemporal image storage unit 13, a white line component detection unit 14, a white line information storage unit 15, and a posture calculation unit. It has 16.

The scan line data acquisition unit 11 acquires a front image of the own vehicle 100 from the vehicle-mounted camera 1, and acquires brightness distribution data on a predetermined horizontal scan line from the front image. Here, the width of the horizontal scan line is 1 pixel, but the horizontal scan line may have a width of about several pixels.

The position of the horizontal scan line in the front image is preferably set to a position where the lane in which the own vehicle 100 is traveling and the lane markings to the left and right of the lane are always reflected during the normal traveling of the own vehicle 100. For example, when the vehicle-mounted camera 1 captures a front image as shown in FIG. 2, the position of the horizontal scan line SL may be set immediately above the hood of the own vehicle 100, for example, as shown in FIG. .. If the horizontal scan line SL is set at that position, the lane in which the own vehicle 100 is traveling and the lane markings 111 and 112 on the left and right thereof are behind the preceding vehicle 101 and the oncoming vehicle 102 on the horizontal scan line SL. There is almost no hiding.

FIG. 4 shows an example of luminance distribution data on the horizontal scan line SL of the front image. In general, the color of the road surface is dark and the color of the marking line is bright, so that the brightness on the horizontal scan line SL of the front image is locally high in the portion corresponding to the left and right marking lines 111 and 112 as shown in FIG. Become.

The spatiotemporal image creation unit 12 creates a spatiotemporal image formed by arranging the luminance distribution data acquired by the scanline data acquisition unit 11 in chronological order. FIG. 5 shows an example of a spatiotemporal image created by the spatiotemporal image creation unit 12. In the spatiotemporal image, the temporal change of the brightness distribution on the horizontal scan line SL of the front image appears. In the spatiotemporal image of FIG. 5, the time change of the positions of the left and right dividing lines 111 and 112 appears as two curves with high brightness.

The spatio-temporal image created by the spatio-temporal image creating unit 12 is stored in the spatio-temporal image storage unit 13. Each time the scan line data acquisition unit 11 acquires new brightness distribution data, the spatiotemporal image creation unit 12 adds the newly acquired brightness distribution data to the spatiotemporal image stored in the spatiotemporal image storage unit 13. And thereby update the spatiotemporal image.

The white line component detection unit 14 detects the white line components corresponding to the left and right division lines 111 and 112 from the spatio-temporal image stored in the spatio-temporal image storage unit 13. Specifically, the white line component detection unit 14 performs a process of increasing the contrast such as histogram leveling and gamma collection on the spatiotemporal image, and then performs a binarization process to move left and right from the spatiotemporal image. The high-luminance region corresponding to the lane markings 111 and 112 of is detected as a white line component. For example, from the spatiotemporal image shown in FIG. 5, white line components L1 and L2 corresponding to the left and right dividing lines 111 and 112, respectively, as shown in FIG. 6 are detected. Hereinafter, the white line component corresponding to the left lane marking 111 is simply referred to as "left white line component", and the white line component corresponding to the right lane marking 112 is simply referred to as "right white line component".

As road markings, in addition to lane markings, regulatory markings (for example, turning prohibition, course change prohibition, road markings indicating maximum speed, etc.) and instruction indications (for example, pedestrian crossing, stop line, direction of travel, etc.) are displayed. There are road markings) and the like, and the white line components corresponding to them can also be detected by the white line component detection unit 14. However, the white line component detection unit 14 can detect only the white line component corresponding to the lane marking line based on the continuity of the white line component.

Further, the white line component detection unit 14 stores the positions of the left and right white line components L1 and L2 in the spatiotemporal image in the white line information storage unit 15 as white line information. The white line information storage unit 15 stores the history of the positions of the left and right white line components L1 and L2. The position of the white line component may be defined as the position of the contour line of the white line component, or may be defined as the position of the center of the white line component.

Here, the relationship between the posture of the own vehicle 100 and the positions of the left and right white line components L1 and L2 detected by the white line component detecting unit 14 will be described. For example, when the direction of the own vehicle 100 swings to the right (the yaw angle increases), the direction of the vehicle-mounted camera 1 also swings to the right. Therefore, as shown in FIG. 7, left and right on the horizontal scan line SL of the front image. The positions of the lane markings 111 and 112 are both shifted to the left, and the distance D between the left and right lane markings 111 and 112 does not change. On the contrary, when the direction of the own vehicle 100 swings to the left (the yaw angle decreases), the direction of the vehicle-mounted camera 1 also swings to the left, so that the left and right lane markings 111 and 112 are on the horizontal scan line SL of the front image. The positions of are shifted to the right, and the distance D between the left and right division lines 111 and 112 does not change. Therefore, when the yaw angle of the own vehicle 100 changes, the positions of the left and right white line components L1 and L2 detected by the white line component detecting unit 14 both change in the same direction. Further, the amount of change in the positions of the left and right white line components L1 and L2 at that time depends on the amount of change in the yaw angle.

On the other hand, when the direction of the own vehicle 100 swings upward (the pitch angle increases), the direction of the vehicle-mounted camera 1 also swings upward. Therefore, as shown in FIG. 8, left and right on the horizontal scan line SL of the front image. The positions of the lane markings 111 and 112 are shifted in the direction of approaching each other, and the distance D between the left and right lane markings 111 and 112 is narrowed. On the contrary, when the direction of the own vehicle 100 swings downward (the pitch angle decreases), the direction of the vehicle-mounted camera 1 also swings downward, so that the left and right lane markings 111 and 112 are on the horizontal scan line SL of the front image. The positions of are shifted in the direction away from each other, and the distance D between the left and right dividing lines 111 and 112 becomes wider. Therefore, when the pitch angle of the own vehicle 100 changes, the positions of the left and right white line components L1 and L2 detected by the white line component detecting unit 14 both change in the same direction. Further, the amount of change in the positions of the left and right white line components L1 and L2 (the amount of change in the interval D) at that time depends on the amount of change in the pitch angle.

The attitude calculation unit 16 detects changes in the positions of the left and right division lines 111 and 112 from the history of the white line information (positions of the left and right white line components L1 and L2 in the spatiotemporal image) stored in the white line information storage unit 15. Then, the posture (yaw angle and pitch angle) of the own vehicle 100 is calculated based on the change. For example, as the time T ₁ of the FIG. 9, when the position of the left and right lane lines 111 and 112 is changed in opposite directions, and orientation calculation unit 16, the vehicle 100 based on the orientation and magnitude of the change Calculate the pitch angle of. Further, as the time T ₂ of the FIG. 9, when the position of the left and right lane lines 111 and 112 is changed together in the same direction, and orientation calculation unit 16, the vehicle 100 based on the orientation and magnitude of the change Calculate the yaw angle of. The vehicle posture measuring device 10 outputs the latest yaw angle and pitch angle of the own vehicle 100 calculated by the posture calculation unit 16 as posture information of the own vehicle 100.

Changes in the positions of the left and right lane markings 111 and 112 can be detected by comparing the latest white line information with the past white line information. Here, as the past white line information, basically, the white line information immediately before may be used, but the white line information before that may be used, or the average value of the white line information for a certain period immediately before is used. You may.

As described above, the vehicle posture measuring device 10 according to the present embodiment has the posture (yaw angle and pitch) of the own vehicle 100 from the spatiotemporal image formed by arranging the brightness distribution data on the horizontal scan line SL of the front image in chronological order. Angle) is calculated. Since the horizontal scan line SL is a line-shaped region having a width of at least 1 pixel, as shown in FIG. 3, the horizontal scan line SL is used on the road surface of the lane in which the own vehicle 100 is traveling and the lane markings 111 and 112 on both sides thereof. Can be easily set at a position where is always reflected, conversely, at a position where the environment other than the road surface of the lane in which the own vehicle 100 is traveling and the lane markings 111 and 112 on both sides of the road surface is not reflected. Therefore, the posture information of the own vehicle 100 calculated by the vehicle posture measuring device 10 is not easily affected by the environment around the own vehicle 100, and the vehicle posture measuring device 10 stably measures the posture of the own vehicle 100. be able to.

Further, the positions of the left and right dividing lines 111 and 112 in the spatiotemporal image are detected as white line components L1 and L2. The white line components L1 and L2 can be detected as high-luminance regions in a spatiotemporal image, and the detection does not require an image analysis process having a large calculation load. This can contribute to the cost reduction of the vehicle posture measuring device 10.

There are no restrictions on the use of the posture information (yaw angle and pitch angle) of the own vehicle 100 output by the vehicle posture measuring device 10. For example, the attitude information of the own vehicle 100 is provided to the head-up display that displays the AR image, and the head-up display corrects the display position shift of the AR image due to the attitude change of the own vehicle 100 based on the attitude information. You may. Further, for example, the posture information of the own vehicle 100 is provided to the peripheral situation determination device that determines the situation around the own vehicle 100 (position of obstacles, etc.) based on the image (peripheral image) taken around the own vehicle 100. Then, the peripheral situation determination device may correct the blurring of the peripheral image due to the attitude change of the own vehicle 100 based on the attitude information. Further, for example, the attitude information of the own vehicle 100 can be used for calibrating the system error of the gyro sensor of the own vehicle 100.

In the present embodiment, it is assumed that all the components of the vehicle posture measuring device 10 are mounted on the own vehicle 100, but some of them are constructed on an external server capable of communicating with the own vehicle 100. It may have been done. Since a part of the process for calculating the posture of the own vehicle 100 is performed by the server, the calculation load of the vehicle posture measuring device 10 can be further suppressed.

Further, for example, spatio-temporal images created by the vehicle posture measuring devices 10 of a plurality of vehicles may be stored in a predetermined server together with information on the traveling route of each vehicle. Since information such as the presence or absence of lane markings and the width of lane markings can be obtained from the spatio-temporal image, the state of lane markings on each road (presence or absence of wear or peeling, etc.) can be grasped by analyzing the spatio-temporal image stored in the server. However, it is also conceivable to utilize the information for infrastructure development.

Hereinafter, the operation of the vehicle posture measuring device 10 according to the first embodiment will be described with reference to the flowchart.

FIG. 10 is a flowchart showing the operation of the vehicle posture measuring device 10 according to the first embodiment. When the scan line data acquisition unit 11 acquires the front image of the own vehicle 100 from the vehicle-mounted camera 1 (step S101), the “spatio-temporal image creation process” is a process for creating a spatio-temporal image using the front image. Is performed (step S102).

FIG. 11 is a flowchart of the spatiotemporal image creation process. In the spatiotemporal image creation process, first, the scan line data acquisition unit 11 acquires the luminance distribution data on the horizontal scan line of the front image (step S201). Next, the spatiotemporal image creation unit 12 confirms whether or not the spatiotemporal image storage unit 13 has already stored the spatiotemporal image (step S202). If the spatiotemporal image is not stored in the spatiotemporal image storage unit 13 (NO in step S202), the brightness distribution data acquired in step S201 is stored in the spatiotemporal image storage unit 13 as the first spatiotemporal image (step). S203). If the spatiotemporal image is stored in the spatiotemporal image storage unit 13 (YES in step S202), the spatiotemporal image is combined with the brightness distribution data acquired in step S201 to update the spatiotemporal image, and after the update. The spatiotemporal image is stored in the spatiotemporal image storage unit 13 (step S204).

Returning to FIG. 10, when the spatiotemporal image creation process (step S102) is completed, the white line component detection unit 14 displays the white line corresponding to the left and right lane markings 111 and 112 of the lane in which the own vehicle 100 is traveling from the spatiotemporal image. The components L1 and L2 are detected (step S103). The white line component detection unit 14 stores the detected positions of the left and right white line components L1 and L2 in the white line information storage unit 15 as white line information (step S104).

Subsequently, the posture calculation unit 16 detects a change in the positions of the left and right white line components L1 and L2 from the history of the white line information stored in the white line information storage unit 15 (step S105), and based on the change, self. The "posture calculation process", which is a process for calculating the posture of the vehicle 100, is performed (step S106).

FIG. 12 is a flowchart of the posture calculation process. In the posture calculation process, the posture calculation unit 16 first confirms whether the directions of the positional changes of the left and right white line components L1 and L2 are the same or opposite to each other (step S301). If the directions of the positional changes of the left and right white line components L1 and L2 are the same (“same” in step S301), the posture calculation unit 16 calculates the yaw angle of the vehicle based on the positional changes of the left and right white line components. (Step S302). If the directions of the positional changes of the left and right white line components L1 and L2 are opposite to each other (“reverse” in step S301), the posture calculation unit 16 calculates the pitch angle of the vehicle based on the positional changes of the left and right white line components. (Step S303). After that, the posture calculation unit 16 outputs the latest yaw angle and pitch angle as posture information of the own vehicle 100 (step S304).

<Software-related invention>
13 and 14 are diagrams showing an example of the hardware configuration of the vehicle posture measuring device 10, respectively. Each function of the component of the vehicle posture measuring device 10 shown in FIG. 1 is realized by, for example, the processing circuit 50 shown in FIG. That is, the vehicle posture measuring device 10 acquires the brightness distribution data on a predetermined horizontal scan line from the image taken in front of the own vehicle 100, and creates a spatiotemporal image formed by arranging the brightness distribution data in time series. Then, from the spatiotemporal image, the white line component corresponding to each of the left and right lanes of the lane in which the own vehicle 100 is traveling is detected, the change in the position of each of the white line components corresponding to the left and right lanes is detected, and the left When the position of the white line component corresponding to the lane marking line and the position of the white line component corresponding to the right lane marking change in the same direction, the yaw angle of the own vehicle 100 is calculated based on the change and the left When the position of the white line component corresponding to the lane marking and the position of the white line component corresponding to the right lane marking change in opposite directions, the pitch angle of the own vehicle 100 is calculated based on the change. A processing circuit 50 for calculating the posture of the own vehicle 100 is provided. The processing circuit 50 may be dedicated hardware, or may be a processor (Central Processing Unit (CPU), processing unit, arithmetic unit, microprocessor, microprocessor, etc.) that executes a program stored in the memory. It may be configured by using a DSP (also called a Digital Signal Processor).

When the processing circuit 50 is dedicated hardware, the processing circuit 50 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable). Gate Array), or a combination of these. The functions of the components of the vehicle posture measuring device 10 may be realized by individual processing circuits, or these functions may be collectively realized by one processing circuit.

FIG. 14 shows an example of the hardware configuration of the vehicle posture measuring device 10 when the processing circuit 50 is configured by using the processor 51 that executes the program. In this case, the functions of the components of the vehicle posture measuring device 10 are realized by software (software, firmware, or a combination of software and firmware). The software or the like is described as a program and stored in the memory 52. The processor 51 realizes the functions of each part by reading and executing the program stored in the memory 52. That is, the vehicle posture measuring device 10 acquires the brightness distribution data on a predetermined horizontal scan line from the image taken in front of the own vehicle 100 when executed by the processor 51, and the brightness distribution data. A process of creating a spatiotemporal image composed of the above in a time series, a process of detecting a white line component corresponding to each of the left and right lane markings of the lane in which the own vehicle 100 is traveling, and a process of detecting the left and right lane markings from the spatiotemporal image. When the change in the position of each of the white line components corresponding to is detected and the position of the white line component corresponding to the left lane line and the position of the white line component corresponding to the right lane line change in the same direction, the change is concerned. When the yaw angle of the own vehicle 100 is calculated based on, and the position of the white line component corresponding to the left lane line and the position of the white line component corresponding to the right lane line change in opposite directions, the change is made. A process of calculating the posture of the own vehicle 100 by calculating the pitch angle of the own vehicle 100 based on the above, and a memory 52 for storing a program to be executed as a result are provided. In other words, it can be said that this program causes the computer to execute the procedure and method of operation of the components of the vehicle posture measuring device 10.

Here, the memory 52 is a non-volatile or non-volatile memory such as a RAM (Random Access Memory), a ROM (Read Only Memory), a flash memory, an EPROM (Erasable Programmable Read Only Memory), and an EEPROM (Electrically Erasable Programmable Read Only Memory). Volatile semiconductor memory, HDD (Hard Disk Drive), magnetic disk, flexible disk, optical disk, compact disk, mini disk, DVD (Digital Versatile Disc) and its drive device, etc., or any storage medium used in the future. You may.

The configuration in which the functions of the components of the vehicle posture measuring device 10 are realized by either hardware, software, or the like has been described above. However, the present invention is not limited to this, and a configuration may be obtained in which a part of the components of the vehicle posture measuring device 10 is realized by dedicated hardware and another part of the components is realized by software or the like. For example, for some components, the function is realized by the processing circuit 50 as dedicated hardware, and for some other components, the processing circuit 50 as the processor 51 is stored in the memory 52. It is possible to realize the function by reading and executing it.

As described above, the vehicle posture measuring device 10 can realize each of the above-mentioned functions by hardware, software, or a combination thereof.

<Embodiment 2>
In the first embodiment, as shown in FIG. 2, it is assumed that the left and right lane markings 111 and 112 of the lane in which the own vehicle 100 is traveling are solid lines, but in reality, the left and right lane markings 111 and 112 One or both may be dashed lines. When either the left or right division line 111 or 112 is a broken line, the left and right white line components L1 and L2 are also interrupted at the portion where the left and right division lines 111 and 112 are interrupted. The change in the position of L1 and L2 cannot be detected, and the posture of the own vehicle 100 cannot be calculated.

During the period when the vehicle posture measuring device 10 cannot calculate the posture of the own vehicle 100, the posture of the own vehicle 100 may be temporarily calculated using a gyro sensor or the like, but in the second embodiment, the left and right lane markings 111 , 112 We propose a vehicle posture measuring device 10 capable of calculating the posture of the own vehicle 100 even when any of the two is a broken line.

FIG. 15 is a diagram showing the configuration of the vehicle posture measuring device 10 according to the second embodiment. The configuration of the vehicle posture measuring device 10 of FIG. 15 is the configuration of FIG. 1 with the addition of the white line component interpolation unit 17. Further, information on the speed of the own vehicle 100 is input from the speed sensor 2 to the white line component detection unit 14 of the vehicle posture measuring device 10.

The white line component interpolation unit 17 receives white line information (left and right white line components L1, L2) stored in the white line information storage unit 15 when the left and right white line components L1 and L2 corresponding to the left and right division lines 111 and 112 are interrupted. Based on the history of (position), the process of interpolating the interrupted part is performed. For example, when the lane marking 112 on the right side of the lane in which the own vehicle 100 is traveling has a broken line, the right white line component L2 detected by the white line component detecting unit 14 also has a broken line shape, as shown in FIG. In this case, the white line component interpolation unit 17 interpolates the interrupted portion of the right white line component L2 as shown in FIG.

Any method may be used to interpolate the interrupted portion of the white line component. For example, the curvature of the white line component immediately before the break is obtained, and based on the curvature, an arbitrary interpolation method (for example, linear interpolation, quadratic function interpolation, spline interpolation, etc.) is used to interpolate the broken part of the white line component. Conceivable.

In the second embodiment, the white line component corresponding to the broken line division line is also a target of detection by the white line component detecting unit 14. Therefore, it is difficult for the white line component detection unit 14 to determine whether or not the white line component corresponds to the division line from the continuity of the white line component. Therefore, in the second embodiment, the white line component detection unit 14 obtains the distance that the white line component continues and the distance that the white line component is interrupted based on the speed of the own vehicle 100 input from the speed sensor 2, and based on those distances, It is determined whether or not the broken white line component corresponds to the lane marking (that is, whether or not the lane marking is a broken line).

Since the length of the line segment and the interval between the line segments that make up the dashed line are stipulated by law, whether or not the white line component corresponds to the line segment from the distance that the white line component continues and the distance that is interrupted. Can be judged. For example, a broken line segment on a Japanese road has a line segment length of 6 m (8 m on an expressway) and an interval of 9 m (12 m on an expressway). These lengths vary from country to country, and in some countries the rivets driven into the road may act as lane markings, so the criteria for determining whether the white line component corresponds to the lane markings is Needs to change from country to country.

Also in the vehicle posture measuring device 10 of the first embodiment, when the white line component detecting unit 14 also detects the white line component corresponding to the broken line, the distance and the interruption of the white line component are interrupted. Based on the distance, it may be determined whether or not the broken white line component corresponds to the lane marking.

When the white line component detecting unit 14 determines that the broken white line component corresponds to the broken line, the white line component interpolation unit 17 may interpolate the broken portion of the white line component. Further, the posture calculation unit 16 calculates the posture of the own vehicle 100 based on the left and right white line components L1 and L2 after being interpolated. Therefore, the posture calculation unit 16 can calculate the posture of the own vehicle 100 even if any of the left and right lane markings 111 and 112 is a broken line.

Hereinafter, the operation of the vehicle posture measuring device 10 according to the second embodiment will be described with reference to the flowchart.

FIG. 18 is a flowchart showing the operation of the vehicle posture measuring device 10 according to the second embodiment. In the flow of FIG. 18, steps S111 and S112, which will be described later, are inserted between steps S103 and S104 of the flow of FIG.

When the scan line data acquisition unit 11 acquires the front image of the own vehicle 100 from the vehicle-mounted camera 1 (step S101), the spatio-temporal image is created by the spatio-temporal image creation process shown in FIG. 11 (step S102).

Subsequently, the white line component detection unit 14 detects the white line components L1 and L2 corresponding to the left and right lane markings 111 and 112 of the lane in which the own vehicle 100 is traveling from the spatiotemporal image (step S103). At this time, if the white line component detection unit 14 can detect the white line components L1 and L2 corresponding to the left and right division lines 111 and 112, the white line component detection unit 14 determines that the white line components L1 and L2 are not interrupted (in step S111). NO), the process proceeds to step S104. However, if the white line component detecting unit 14 cannot detect any of the white line components L1 and L2 corresponding to the left and right marking lines 111 and 112, the white line component detecting unit 14 interrupts the white line component L1 or L2. (YES in step S111), and "white line component interpolation processing" for interpolating the white line component is performed (step S112).

FIG. 19 is a flowchart of the white line component interpolation processing. In the white line component interpolation processing, first, the white line component detection unit 14 calculates the distance followed by the interrupted white line components L1 or L2 and the interrupted distance based on the speed of the own vehicle 100 (step S401). Then, the white line component detection unit 14 determines whether or not the interrupted white line component L1 or L2 corresponds to the broken line division line based on the distance that the white line component L1 or L2 continues and the distance that the white line component L2 is interrupted (step). S402).

If it is determined that the interrupted white line component L1 or L2 corresponds to the broken line division line (YES in step S403), the white line component interpolation unit 17 performs the white line information (left and right white line components) stored in the white line information storage unit 15. Based on the history of the positions of L1 and L2), the interrupted portion of the white line component L1 or L2 is interpolated (step S404). If it is determined that the interrupted white line component L1 or L2 is not a broken line division line (NO in step S403), step S404 is not executed.

Returning to FIG. 18, in step S104, the positions of the left and right white line components L1 and L2 detected by the white line component detection unit 14 or the positions of the white line components L1 and L2 interpolated by the white line component interpolation unit 17 are used as white line information. It is stored in the white line information storage unit 15.

After that, as in the first embodiment, the posture calculation unit 16 detects changes in the positions of the left and right white line components L1 and L2 from the history of the white line information stored in the white line information storage unit 15 (step S105). ), The posture calculation process is performed based on the change (step S106), and as a result, the posture information (yaw angle and pitch angle) of the own vehicle 100 is output from the posture calculation unit 16.

<Embodiment 3>
For example, when the own vehicle 100 changes lanes to the right, the lane markings that were located on the right side of the own vehicle 100 before the lane change become located on the left side of the own vehicle 100. On the contrary, when the own vehicle 100 changes lanes to the left, the lane marking that was located on the left side of the own vehicle 100 before the lane change becomes located on the right side of the own vehicle 100. That is, while the own vehicle 100 is changing lanes, the left and right lane markings are changed to different ones.

In the first embodiment, the white line component detection unit 14 detects the white line component corresponding to the left and right lane markings of the lane in which the own vehicle 100 is traveling, based on the continuity of the white line component. However, when the own vehicle 100 changes lanes, the continuity of the left and right lane markings is lost, so that the white line component detection unit 14 cannot correctly detect the left and right lane markings, and the attitude calculation unit 16 determines the posture of the own vehicle 100. It may not be possible to calculate correctly. Therefore, in the third embodiment, we propose a vehicle posture measuring device 10 that can calculate the posture of the own vehicle 100 even when the own vehicle 100 changes lanes.

FIG. 20 is a diagram showing the configuration of the vehicle posture measuring device 10 according to the third embodiment. The configuration of the vehicle posture measuring device 10 of FIG. 20 is obtained by adding a lane change determination unit 18 to the configuration of FIG.

The lane change determination unit 18 determines the left and right divisions based on the positions of the white line components corresponding to the left and right division lines detected by the white line component detection unit 14 and the history of the white line information stored in the white line information storage unit 15. It is determined whether or not the position of any of the white line components corresponding to the line crosses the center of the spatiotemporal image. Then, when any position of the white line component corresponding to the left and right lane markings of the lane in which the own vehicle 100 is traveling crosses the center of the spatiotemporal image, the white line information storage unit 15 changes the lane of the own vehicle 100. Is determined, and the white line component detection unit 14 is notified to that effect.

FIG. 21 is an example of a white line component extracted from a spatiotemporal image when the own vehicle 100 changes lanes. For example, if the white line component L2 crosses the center of the space-time image from right to left (time T ₁ of the FIG. _22), the white line component detection unit 14 determines that the vehicle 100 has lane change to the right, to that effect Notify the white line component detection unit 14. Further, when the white line component L2 crosses the center of the space-time image from left to right (the time T ₂ of the FIG. _22), the white line component detection unit 14 determines that the vehicle 100 has lane-changed to the left, to that effect Notify the white line component detection unit 14.

When the white line component detection unit 14 receives a notification from the lane change determination unit 18 that the own vehicle 100 has changed lanes, the white line component detection unit 14 resets the association between the left and right lane markings and the white line component. For example, the white line component detector 14, at time T ₁ of the FIG. 22, when receiving the notification that the vehicle 100 has lane change to the right, the white line component L2 having traversed center of the spatio-temporal image to the left lane line It is set as corresponding, and the white line component L3 newly appearing on the right side of the spatiotemporal image is set as corresponding to the right lane marking. Further, the white line component detector 14, at time T ₂ of the FIG. 22, when receiving the notification that the vehicle 100 has lane-changed to the left, the white line component L2 having traversed the center of the spatio-temporal image to the right lane line It is set as corresponding, and the white line component L1 newly appearing on the right side of the spatiotemporal image is set as corresponding to the left lane marking.

As a result, the white line component detection unit 14 can correctly recognize the white line component corresponding to the left and right lane markings of the lane in which the own vehicle 100 travels after the lane change, and correctly recognizes the white line component corresponding to the left and right lane markings even after the lane change. You will be able to detect it. Therefore, the posture calculation unit 16 can correctly calculate the posture of the own vehicle 100 even if the own vehicle 100 changes lanes, and stable operation becomes possible.

The lane change determination unit 18 of the third embodiment can also be applied to the vehicle posture measuring device 10 of the second embodiment. Further, the information on whether or not the own vehicle 100 has changed lanes and the direction of lane change, which is determined by the lane change determination unit 18, may be diverted to other uses. For example, the information may be provided to a locator device that calculates the current location of the own vehicle 100, and the locator device may use the information to correct the current position of the own vehicle 100 (the lane in which the own vehicle 100 is located). ..

Hereinafter, the operation of the vehicle posture measuring device 10 according to the third embodiment will be described with reference to the flowchart.

FIG. 23 is a flowchart showing the operation of the vehicle posture measuring device 10 according to the third embodiment. In the flow of FIG. 23, steps S121 and S122, which will be described later, are inserted between steps S103 and S104 of the flow of FIG.

When the scan line data acquisition unit 11 acquires the front image of the own vehicle 100 from the vehicle-mounted camera 1 (step S101), the spatio-temporal image is created by the spatio-temporal image creation process shown in FIG. 11 (step S102).

Subsequently, the white line component detection unit 14 detects the white line component corresponding to the left and right lane markings of the lane in which the own vehicle 100 is traveling from the spatiotemporal image (step S103). At this time, the lane change determination unit 18 confirms whether or not any of the left and right white line components crosses the center of the spatiotemporal image (step S121). If any of the white line components does not cross the center of the spatiotemporal image (NO in step S121), the process proceeds to step S104. However, if any of the white line components crosses the center of the spatiotemporal image (YES in step S121), the lane change determination unit 18 determines that the own vehicle 100 has changed lanes, and the white line component detection unit indicates that fact. Notify 14 Then, in the white line component detection unit 14, "lane change correspondence processing" for resetting the association between the left and right lane markings and the white line component is performed (step S122).

FIG. 24 is a flowchart of the lane change correspondence process. In the lane change handling process, first, the lane change determination unit 18 determines the direction of the lane change of the own vehicle 100 from the direction in which the white line component crosses the center of the spatiotemporal image (step S501).

If the direction of lane change is to the left (“left” in step S502), the white line component detection unit 14 sets the white line component that crosses the center of the spatiotemporal image as corresponding to the right lane marking (step S503). ), The white line component newly appearing on the right side of the spatiotemporal image is set as corresponding to the left division line (step S504). Conversely, if the direction of lane change is to the right (“right” in step S502), the white line component detection unit 14 sets the white line component that crosses the center of the spatiotemporal image as corresponding to the left lane marking. (Step S505), the white line component newly appearing on the left side of the spatiotemporal image is set as corresponding to the right lane marking (step S506).

Returning to FIG. 23, in step S104, the positions of the left and right white line components detected by the white line component detection unit 14 or the positions of the white line components set to correspond to the left and right lane markings by the lane change correspondence process are the white lines. The information is stored in the white line information storage unit 15.

After that, as in the first embodiment, the posture calculation unit 16 detects a change in the position of the left and right white line components from the history of the white line information stored in the white line information storage unit 15 (step S105). The posture calculation process is performed based on the change (step S106), and as a result, the posture calculation unit 16 outputs the posture information (yaw angle and pitch angle) of the own vehicle 100.

In the present invention, each embodiment can be freely combined, and each embodiment can be appropriately modified or omitted within the scope of the invention.

Although the present invention has been described in detail, the above description is exemplary in all embodiments and the invention is not limited thereto. It is understood that innumerable variations not illustrated can be assumed without departing from the scope of the present invention.

1 in-vehicle camera, 2 speed sensor, 10 vehicle attitude measuring device, 11 scan line data acquisition unit, 12 spatiotemporal image creation unit, 13 spatiotemporal image storage unit, 14 white line component detection unit, 15 white line information storage unit, 16 attitude calculation Department, 17 white line component interpolation part, 18 lane change judgment part, 100 own vehicle, 101 preceding vehicle, 102 oncoming vehicle, SL horizontal scan line, 111,112 lane marking line, L1, L2, L3 white line component, 50 processing circuit, 51 Processor, 52 memory.

Claims (6)

A scan line data acquisition unit that acquires brightness distribution data on a predetermined horizontal scan line from an image taken in front of the vehicle, and a scan line data acquisition unit.
A spatiotemporal image creation unit that creates a spatiotemporal image composed of the luminance distribution data arranged in chronological order,
From the spatio-temporal image, a white line component detection unit that detects a white line component corresponding to each of the left and right lane markings of the lane in which the vehicle is traveling, and a white line component detection unit.
The change in the position of each of the white line components corresponding to the left and right division lines is detected, and the position of the white line component corresponding to the left division line and the position of the white line component corresponding to the right division line are mutually aligned. When the vehicle changes in the same direction, the yaw angle of the vehicle is calculated based on the change, and the position of the white line component corresponding to the left lane marking and the position of the white line component corresponding to the right lane marking are used. When the numbers change in opposite directions, the posture calculation unit that calculates the posture of the vehicle by calculating the pitch angle of the vehicle based on the change, and the posture calculation unit.
A vehicle posture measuring device including. A white line component interpolation unit that interpolates the interrupted portion of the white line component when any of the white line components corresponding to the left and right dividing lines is interrupted is further provided.
The vehicle posture measuring device according to claim 1. The white line component interpolation unit interpolates the interrupted portion of the white line component based on the curvature of the white line component immediately before the interruption.
The vehicle posture measuring device according to claim 2. The white line component detection unit obtains the distance that the white line component continues and the distance that the white line component is interrupted based on the speed of the vehicle, and based on those distances, whether or not the interrupted white line component corresponds to the division line. Judge and
The white line component interpolation unit interpolates the interrupted portion of the white line component when it is determined that the interrupted white line component corresponds to the division line.
The vehicle posture measuring device according to claim 2. A lane change determination unit for determining that the vehicle has changed lanes when any position of the white line component corresponding to the left and right lane markings crosses the center of the spatiotemporal image is further provided.
The vehicle posture measuring device according to claim 1. The scan line data acquisition unit of the vehicle attitude measuring device acquires the brightness distribution data on a predetermined horizontal scan line from the image taken in front of the vehicle.
The spatiotemporal image creation unit of the vehicle posture measuring device creates a spatiotemporal image formed by arranging the luminance distribution data in time series.
The white line component detection unit of the vehicle posture measuring device detects the white line component corresponding to each of the left and right lane markings of the lane in which the vehicle is traveling from the spatiotemporal image.
The posture calculation unit of the vehicle posture measuring device detects a change in the position of each of the white line components corresponding to the left and right lane markings, and the position of the white line component corresponding to the left lane marking and the right lane marking line. When the positions of the white line components corresponding to the above change in the same direction, the yaw angle of the vehicle is calculated based on the changes, and the position of the white line component corresponding to the left lane marking and the right side are calculated. When the positions of the white line components corresponding to the lane markings change in opposite directions, the posture of the vehicle is calculated by calculating the pitch angle of the vehicle based on the changes.
Vehicle posture measurement method.

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