JP2024056563A - Display processing device, display processing method, and operation program of display processing device - Google Patents

Abstract

To obtain a display processing device capable of making it easier to confirm an obstacle.SOLUTION: A display processing device 20 comprises: an image acquisition part 22; an obstacle position specification part 24; an adjustment part 26; and an image output part 28. The obstacle position specification part 24 specifies a position of an obstacle at a periphery of a vehicle detected by an obstacle detection part. The image acquisition part 22 acquires a vehicle peripheral image photographed by a photographing part. The adjustment part 26 adjusts one or more of brightness, lightness, and contrast in a predetermined range containing a region corresponded to the position of one or more obstacles specified by the obstacle position specification part 24 in a display image generated on the basis of the vehicle peripheral image and displayed on a display part. The image output part 28 outputs a display image adjusted by the adjustment part 26 to the display part.SELECTED DRAWING: Figure 2

Description

The present invention relates to a display processing device, a display processing method, and an operating program for the display processing device.

Patent Document 1 discloses an image processing technology that, when displaying an image of the rear side of a vehicle, for example when the vehicle is reversing, if there is an obstacle behind the vehicle, displays the obstacle larger than usual, or displays all or part of the obstacle that is not normally displayed.

JP 2016-119558 A

In the display image displayed on the display unit, the brightness, luminance, contrast, etc. are conventionally adjusted for the entire image or the entire road surface within the image. Therefore, for example, in a dark scene such as at night or in an indoor parking lot, the area around the vehicle may appear relatively dark, making it difficult to confirm obstacles. In the image processing technology described in Patent Document 1, the viewpoint position, line of sight, and field of view are changed in the displayed image, but this alone may make it difficult to confirm obstacles.

In consideration of the above, the present invention aims to provide a display processing device, a display processing method, and an operating program for the display processing device that can make it easier to check obstacles.

The display processing device according to the present invention described in claim 1 includes an obstacle position identification unit that identifies the position of an obstacle around the vehicle detected by an obstacle detection unit, an image acquisition unit that acquires an image of the surroundings of the vehicle captured by an image capture unit, an adjustment unit that adjusts one or more of the brightness, luminance, and contrast of a predetermined range including an area corresponding to the position of one or more of the obstacles identified by the obstacle position identification unit in a display image generated based on the image of the surroundings of the vehicle and displayed on a display unit, and an image output unit that outputs the display image adjusted by the adjustment unit to the display unit.

In the display processing device according to the present invention described in claim 1, the adjustment unit adjusts one or more of the luminance, brightness, and contrast of a predetermined range including an area corresponding to the position of one or more obstacles identified by the obstacle position identification unit in a display image displayed on the display unit that is generated based on an image of the surroundings of the vehicle captured by the capture unit. The image output unit outputs the display image adjusted by the adjustment unit to the display unit. In this way, in the present invention, one or more of the luminance, brightness, and contrast of an area including an obstacle in the display image displayed on the display unit is adjusted. Therefore, even if it is difficult to identify an obstacle in the display image displayed on the display unit, for example, in a dark scene such as at night or in an indoor parking lot, it is possible to make the obstacle easier to identify compared to an unadjusted display image.

The display processing device according to the present invention described in claim 2 has the configuration described in claim 1, in which the adjustment unit adjusts the display image by adjusting the vehicle surroundings image acquired by the image acquisition unit.

In the display processing device according to the present invention described in claim 2, the adjustment unit adjusts the vehicle surroundings image acquired by the image acquisition unit, so that one or more of the brightness, luminance, and contrast can be adjusted in the vehicle surroundings image acquired by the image acquisition unit.

The display processing device according to the present invention described in claim 3 has the configuration described in claim 1, and the adjustment unit adjusts the display image by adjusting the vehicle surroundings image captured by the image capture unit.

In the display processing device according to the present invention described in claim 3, the adjustment unit adjusts the vehicle surroundings image captured by the capture unit, so that the capture unit can adjust one or more of the brightness, luminance, and contrast. Note that in the present invention, the "vehicle surroundings image captured by the capture unit" may be a so-called pre-captured image (through image) before the actual capture is performed by the capture unit, or may be an actual captured image acquired by the capture unit after the actual capture is performed by the capture unit.

The display processing method described in claim 4 identifies the positions of obstacles around the vehicle detected by an obstacle detection unit, acquires an image of the vehicle's surroundings captured by an image capture unit, adjusts one or more of the brightness, luminance, and contrast of a predetermined range including an area corresponding to the positions of the identified one or more obstacles in a display image generated based on the vehicle's surroundings image and displayed on a display unit, and outputs the adjusted display image to the display unit.

In the display processing method described in claim 4, in a display image displayed on the display unit generated based on an image of the surroundings of the vehicle captured by the imaging unit, one or more of the luminance, brightness, and contrast of a predetermined range including an area corresponding to the position of one or more identified obstacles are adjusted. The adjusted display image is output to the display unit. In this way, in the present invention, one or more of the luminance, brightness, and contrast of an area including an obstacle in the display image displayed on the display unit is adjusted. Therefore, even if it is difficult to confirm an obstacle in the display image displayed on the display unit, for example, in a dark scene such as at night or in an indoor parking lot, it is possible to make the obstacle easier to confirm compared to an unadjusted display image.

The operating program of the display processing device described in claim 5 causes a computer to function as an obstacle position identification unit that identifies the position of an obstacle around the vehicle detected by the obstacle detection unit, an image acquisition unit that acquires an image of the surroundings of the vehicle captured by the image capture unit, an adjustment unit that adjusts one or more of the brightness, luminance, and contrast of a predetermined range including an area corresponding to the position of one or more obstacles identified by the obstacle position identification unit in a display image generated based on the image of the surroundings of the vehicle and displayed on the display unit, and an image output unit that outputs the display image adjusted by the adjustment unit to the display unit.

In the operating program for the display processing device according to claim 5, the adjustment unit causes the computer to function so that the adjustment unit adjusts one or more of the luminance, brightness, and contrast of a predetermined range including an area corresponding to the position of one or more obstacles identified by the obstacle position identification unit in a display image displayed on the display unit that is generated based on an image of the surroundings of the vehicle captured by the capture unit. The computer also functions so that the image output unit outputs the display image adjusted by the adjustment unit to the display unit. In this way, in the present invention, one or more of the luminance, brightness, and contrast of an area including an obstacle in the display image displayed on the display unit is adjusted. Therefore, even if it is difficult to identify an obstacle in the display image displayed on the display unit, for example, in a dark scene such as at night or in an indoor parking lot, it is possible to make the obstacle easier to identify compared to an unadjusted display image.

As described above, the display processing device, display processing method, and operating program for the display processing device according to the present invention have the excellent effect of making it easier to check obstacles.

1 is a block diagram showing a hardware configuration of a vehicle system including a display processing device according to an embodiment of the present invention. 1 is a block diagram showing a functional configuration of a vehicle display processing device according to an embodiment of the present invention; 5 is an explanatory diagram for explaining a method for acquiring obstacle position information by an obstacle position identifying unit; FIG. FIG. 2 is a diagram showing an example of a vehicle surroundings image captured by a rear camera. 4 is a flowchart showing an example of a series of processes of a display processing device according to an embodiment of the present invention. 10 is a flowchart showing another example of a series of processes of the display processing device according to an embodiment of the present invention.

A vehicle system 10 including a vehicle ECU (Electronic Control Unit) 20 as a display processing device according to one embodiment of the present invention will be described below with reference to the accompanying drawings. The vehicle system 10 of this embodiment is mounted on a vehicle 30 (see FIG. 3), and includes the vehicle ECU 20, an image capture unit 12, an obstacle detection unit 14, and a display unit 16, as shown in FIG. 1.

The photographing unit 12 is a camera that photographs the periphery of the vehicle, and is equipped with multiple cameras such as color CCD (Charge Coupled Device) cameras. In this embodiment, the photographing unit 12 has a front camera 12A that photographs the front of the vehicle, a right side camera 12B that photographs the right side of the vehicle, a left side camera 12C that photographs the left side of the vehicle, and a rear camera 12D that photographs the rear of the vehicle. The front camera 12A and the rear camera 12D are installed in the center of the vehicle width direction on the inside or outside of the front and rear parts of the vehicle, respectively. The right side camera 12B and the left side camera 12C are installed on the side mirrors on the right and left sides of the vehicle, respectively. The photographing unit 12 photographs the periphery of the vehicle and outputs the photographed vehicle periphery image data to the vehicle ECU 20. Note that the "vehicle periphery image data" here may be video data or still image data.

The obstacle detection unit 14 is, as an example, a millimeter wave radar, and includes a front radar and a rear radar, each of which is a radar device. The front radar and the rear radar are disposed at the center of the front end and the center of the rear end of the vehicle, respectively, and detect obstacles in the front area and the rear area of the vehicle, respectively. Specifically, information indicating the direction of the obstacle relative to the vehicle and the distance between the vehicle and the obstacle is acquired as "obstacle information" at predetermined time intervals, and output to the vehicle ECU 20. Note that in this embodiment, as an example, the frame rate of the imaging unit 12 is set to be the same as the interval at which the obstacle information is acquired by the obstacle detection unit 14.

The display unit 16 is configured with a display screen of a monitor that provides visual information to the driver. Specifically, the display unit 16 is configured with a display provided in the center of the instrument panel in the vehicle width direction. Note that the display unit 16 is not limited to this, and may be configured with a projection surface projected by a head-up display device (not shown).

The vehicle ECU 20 includes a CPU (Central Processing Unit: processor) 20A, a ROM (Read Only Memory) 20B, a RAM (Random Access Memory) 20C, a storage 20D, a communication interface (communication I/F) 20E, and an input/output interface (input/output I/F) 20F. The above-mentioned imaging unit 12, obstacle detection unit 14, display unit 16, etc. are connected to the input/output I/F 20F. Each component uses known technology, and is connected to be able to communicate with each other via a bus 20G.

The vehicle ECU 20 uses the above hardware resources to realize various functions. As shown in FIG. 2, the vehicle ECU 20 is configured to include, as its functional components, an image acquisition unit 22, an obstacle position identification unit 24, an adjustment unit 26, and an image output unit 28. Each functional component is realized by the CPU 20A reading and executing a program stored in the ROM 20B or storage 20D.

The image acquisition unit 22 acquires information about the surroundings of the vehicle in which the vehicle system 10 is installed. Specifically, it acquires vehicle surroundings image data captured by the imaging unit 12, i.e., the front camera 12A, the right side camera 12B, the left side camera 12C, and the rear camera 12D.

The obstacle position identification unit 24 derives the position of an obstacle in the vehicle surroundings image represented by the vehicle surroundings image data acquired by the image acquisition unit 22 based on the obstacle information acquired by the obstacle detection unit 14 and the mounting positions and mounting angles of each of the cameras 12A-12D of the image capture unit 12, and identifies the derived position as the position of the obstacle.

Specifically, as shown in FIG. 4, the obstacle position identification unit 24 obtains a horizontal angle θ1 to the obstacle P based on the direction in which the reflected wave arrives at the vehicle 30 from the azimuth of the obstacle P relative to the vehicle 30 output from the obstacle detection unit 14, and using the direction opposite to the traveling direction of the vehicle 30 as a reference. In this embodiment, the horizontal angle θ1 is the clockwise angle from the reference to the obstacle P. Note that in FIG. 4, the area A indicated by the dashed line is the detection range of the rear radar.

The obstacle position identification unit 24 also acquires position information of the obstacle P from the distance D between the vehicle 30 and the obstacle P output from the obstacle detection unit 14 and the horizontal angle θ1. The position of the obstacle P is represented by coordinate position information in the xz coordinate plane of the obstacle P that exists on the xz coordinate plane that is fixedly set with respect to the vehicle 30. Here, the xz coordinate plane is defined by an x axis parallel to the width direction of the vehicle 30 and a z axis parallel to the front-rear direction of the vehicle 30 and passing through the center of the vehicle 30 in the width direction. The position of the obstacle P in the xz coordinate plane is a relative position with respect to the vehicle 30. In this embodiment, the origin in the xz coordinate plane is the center of the rear end of the vehicle 30 in the vehicle width direction.

Similarly, the obstacle position identification unit 24 obtains a vertical angle θ2 (not shown) to the obstacle P based on the direction opposite to the traveling direction of the vehicle 30 from the direction of the obstacle P relative to the vehicle 30 output from the obstacle detection unit 14, based on the direction in which the reflected wave arrives at the vehicle 30, and obtains position information of the obstacle P from the distance D between the vehicle 30 and the obstacle P output from the obstacle detection unit 14 and the vertical angle θ2. The position of the obstacle P is represented by coordinate position information in the yz coordinate plane of the obstacle P that exists on the yz coordinate plane that is fixedly set relative to the vehicle 30.

The yz coordinate plane is defined by the y axis parallel to the height direction of the vehicle 30 and the z axis. The position of the obstacle P in the yz coordinate plane is a relative position with respect to the vehicle 30. In this embodiment, the origin in the yz coordinate plane is the mounting position of the rear radar disposed in the center of the rear end of the vehicle 30. In other words, the origin in the y axis direction is the height position of the rear radar. The obstacle position identification unit 24 plots the x axis and y axis positions F(x, y) of the obstacle P obtained in this manner on a two-dimensional map formed by xy coordinates.

The obstacle position identification unit 24 further sets coordinates in a vehicle surroundings image 40 represented by the vehicle surroundings image data acquired by the image acquisition unit 22. The vehicle surroundings image captured by the rear camera 12D will be described below as an example. FIG. 4 is a diagram showing an example of the vehicle surroundings image 40 captured by the rear camera 12D. Note that the vehicle surroundings image 40 shown in FIG. 4 is an image captured by the rear camera 12D while the vehicle 30 is traveling in the right lane as an example, and the other vehicles 32 and 34 in the vehicle surroundings image 40 are vehicles traveling behind the vehicle 30, i.e., the same diagonal lane (road lane).

The obstacle position identification unit 24 sets coordinate axes in the vehicle surroundings image 40. Since the rear camera 12D is installed in the center of the vehicle width direction inside the interior of the rear of the vehicle 30, the position where the rear camera 12D is installed is set as the origin, the vehicle width direction of the vehicle 30 is set as the x-axis, and the vehicle vertical direction of the vehicle 30 is set as the y-axis.

The obstacle position identification unit 24 converts the position F(x, y) of the object P on the above-mentioned two-dimensional map onto the vehicle surroundings image 40. As an example of this conversion, it is performed as follows. The origin of the x-axis direction on the two-dimensional map and the origin of the x-axis direction on the vehicle surroundings image 40 are both at the center of the vehicle width direction of the vehicle 30, so the x-axes are the same. The origin of the y-axis direction on the two-dimensional map is the mounting position of the rear radar disposed at the center of the rear end of the vehicle 30, and the origin of the y-axis direction on the vehicle surroundings image 40 is the position where the backup camera 12D is installed. Therefore, a conversion value is calculated in advance from the positional relationship between the rear radar and the backup camera 12D, and the obstacle position identification unit 24 converts the data in the y-axis direction on the two-dimensional map based on the calculated conversion value.

The obstacle position identification unit 24 identifies the position of the obstacle P that is converted from the two-dimensional map onto the vehicle surroundings image 40. In FIG. 4, the positions of the other vehicles 32 and 34 are detected as the positions of the obstacle P.

The adjustment unit 26 generates a display image to be displayed on the display unit 16 based on the vehicle surroundings image 40 acquired by the image acquisition unit 22. Specifically, the adjustment unit 26 detects areas in the vehicle surroundings image 40 corresponding to the obstacles P identified by the obstacle position identification unit 24, i.e., the other vehicles 32 and 34, respectively, and sets a predetermined range including these areas. For example, the adjustment unit 26 sets a rectangular outer frame 32A (shown by a two-dot chain line in FIG. 4) surrounding the other vehicle 32 for the other vehicle 32, and sets the inside of this outer frame 32A as the above-mentioned predetermined range 32B. The adjustment unit 26 similarly sets an outer frame 34A for the other vehicle 34, and sets the inside of this outer frame 34A as the above-mentioned predetermined range 34B.

The adjustment unit 26 adjusts one or more of the brightness, lightness, and contrast of the areas within the predetermined range 32B and the predetermined area 34B. Specifically, the adjustment unit 26 adjusts one or more of the brightness, lightness, and contrast so that the predetermined range 32B and the predetermined area 34B, i.e., the other vehicle 32 and the other vehicle 34, are clearly visible. As an example, if the vehicle surroundings image 40 is an image captured in a dark scene, such as at night, the adjustment unit 26 increases the lightness and brightness so that the predetermined range 32B and the predetermined area 34B are brighter. The adjustment unit 26 also increases the contrast so that the predetermined range 32B and the predetermined area 34B are clearly visible.

The image output unit 28 outputs the vehicle surroundings image 40 adjusted by the adjustment unit 26 to the display unit 16 as a display image.

Next, a series of processes executed in the vehicle ECU 20 will be described with reference to the flowchart shown in FIG. 5. The display process executed in the vehicle ECU 20 is executed by the CPU 20A reading a program from the ROM 20B or storage 20D, expanding it in the RAM 20C, and executing it.

As shown in FIG. 5, first, in step S11, the image acquisition unit 22 acquires the vehicle surroundings images 40 each captured by the photography unit 12. Next, in step S12, the CPU 20A determines whether or not an obstacle P has been detected around the vehicle by the obstacle detection unit 14, i.e., whether or not obstacle information has been received from the obstacle detection unit 14. If an obstacle P has been detected by the obstacle detection unit 14 (step S12, YES), in step S13, the obstacle position identification unit 24 identifies the position of the detected obstacle P around the vehicle.

Then, in step S14, the adjustment unit 26 detects an area in the vehicle surroundings image 40 that corresponds to the obstacle P (other vehicles 32 and 34 in this embodiment) identified by the obstacle position identification unit 24, and generates a display image by adjusting one or more of the brightness, luminance, and contrast as described above so that a predetermined range including this area is clearly visible.

On the other hand, if the obstacle P is not detected by the obstacle detection unit 14 in step S12 (step S12, NO), in step S15, the adjustment unit 26 performs normal image adjustment on the vehicle surroundings image 40 to generate a display image. Here, the normal image adjustment, as an example, adjusts one or more of the brightness, luminance, and contrast for the entire vehicle surroundings image 40 or the entire road surface within the vehicle surroundings image 40.

Next, in step S16, the CPU 20A determines whether there is a display request on the display unit 16. As an example, the CPU 20A determines that there is a request to display the vehicle surroundings image 40 captured by the backup camera 12D when the shift range of the vehicle 30 is in the reverse position. Depending on the operation preset in the vehicle 30, it is determined by which camera in the image capturing unit 12 the vehicle surroundings image 40 captured by is to be displayed on the display unit 16.

If there is a display request in step S16 (step S16; YES), in step S17, the image output unit 28 outputs the display image adjusted and generated by the adjustment unit 26 to the display unit 16. On the other hand, if there is no display request in step S16 (step S16; NO), the CPU 20A transitions to step S11 and performs the processes from step S11 onward.

Next, in step S18, the CPU 20A determines whether or not an instruction to end the display has been given. If the CPU 20A determines in step S18 that an instruction to end the display has not been given (step S18; NO), the CPU 20A proceeds to step S11 and performs the processes from step S11 onward.

On the other hand, if the CPU 20A determines in step S18 that an instruction to end the display has been issued (step S18; YES), the CPU 20A ends the display of the display image on the display unit 16, and the vehicle ECU 20 ends the series of processes. Note that in this embodiment, as an example, the CPU 20A determines that an instruction to end the display of the display image has been issued when, for example, the shift range of the vehicle 30 is shifted from the reverse position to the parking position.

Next, we will explain the effects of this embodiment.

In the vehicle ECU 20 according to this embodiment, the adjustment unit 26 adjusts one or more of the luminance, brightness, and contrast of a predetermined range 32B, 34B including an area corresponding to the position of one or more obstacles P identified by the obstacle position identification unit 24 in a display image displayed on the display unit 16 that is generated based on a vehicle surroundings image 40 captured by the imaging unit 12. The image output unit 28 outputs the display image adjusted by the adjustment unit 26 to the display unit 16.

In this manner, in this embodiment, one or more of the luminance, brightness, and contrast of the area including the obstacle P in the display image displayed on the display unit 16 are adjusted. Therefore, even if the obstacle P is difficult to see in the display image displayed on the display unit 16 in a dark scene such as at night or in an indoor parking lot, for example, the obstacle P can be made easier to see compared to an unadjusted display image.

In addition, in the vehicle ECU 20 according to this embodiment, the adjustment unit 26 adjusts the vehicle surroundings image 40 acquired by the image acquisition unit 22, and therefore can adjust one or more of the brightness, luminance, and contrast in the vehicle surroundings image 40 acquired by the image acquisition unit 22.

In this embodiment, the adjustment unit 26 adjusts the vehicle surroundings image 40 acquired by the image acquisition unit 22, but the present invention is not limited to this. For example, the adjustment unit 26 may adjust the vehicle surroundings image captured by the image capture unit 12, i.e., a so-called pre-captured image (through image) before the actual image capture is performed by the image capture unit 12, or may adjust the actual image capture performed by the image capture unit 12 and acquired by the image capture unit 12. Figure 6 shows a flowchart of a series of processes when the adjustment unit 26 adjusts the vehicle surroundings image captured by the image capture unit 12.

As shown in FIG. 6, first, in step S21, the CPU 20A determines whether or not an obstacle P has been detected around the vehicle by the obstacle detection unit 14, i.e., whether or not obstacle information has been received from the obstacle detection unit 14. If an obstacle P has been detected by the obstacle detection unit 14 (step S21, YES), in step S22, the obstacle position identification unit 24 identifies the position of the detected obstacle P around the vehicle.

Then, in step S23, the adjustment unit 26 detects an area corresponding to the obstacle P identified by the obstacle position identification unit 24 in the vehicle surroundings image 40, which is a pre-image or an actual image captured by the image capture unit 12, and adjusts one or more of the brightness, luminance, and contrast as described above so that a predetermined range including this area is clearly visible.

On the other hand, if the obstacle P is not detected by the obstacle detection unit 14 in step S22 (step S22, NO), in step S24, the adjustment unit 26 performs normal image adjustment on the vehicle surroundings image 40, which is the pre-captured image or actual captured image by the image capture unit 12.

Next, in step S25, the image acquisition unit 22 acquires the vehicle surroundings image 40 captured by the image capture unit 12 and adjusted by the adjustment unit 26 as a display image.

Next, in step S26, the CPU 20A determines whether or not there is a display request to the display unit 16. If there is a display request in step S26 (step S26; YES), in step S27 the image output unit 28 outputs the display image to the display unit 16. On the other hand, if there is no display request in step S26 (step S26; NO), the CPU 20A transitions to step S21 and performs the processes from step S21 onward.

Next, in step S28, CPU 20A determines whether or not there is an instruction to end the display. If CPU 20A determines in step S28 that there is no instruction to end the display (step S28; NO), CPU 20A proceeds to step S21 and performs the processes from step S21 onward.

On the other hand, if the CPU 20A determines in step S28 that an instruction to end the display has been received (step S28; YES), the CPU 20A ends the display of the display image on the display unit 16, and the vehicle ECU 20 ends the series of processes.

In this way, the adjustment unit 26 can adjust one or more of the brightness, luminance, and contrast in the vehicle surroundings image 40, which is a pre-photographed image or an actual photographed image by the photographing unit 12. As a result, as in the above embodiment, even if an obstacle P is difficult to see in the display image displayed on the display unit 16 in a dark scene such as at night or in an indoor parking lot, the obstacle P can be made easier to see compared to an unadjusted display image.

In the above embodiment, the display processing of the vehicle ECU 20 during manual driving of the vehicle is described, but the present invention is not limited to this. The present invention can also be applied, for example, during manual driving of a vehicle capable of automatic driving.

In addition, in the above embodiment, a vehicle ECU 20 is mounted as a display processing device in a vehicle as an example of a vehicle, but the present invention is not limited to vehicles. For example, the display processing device of the present invention may be mounted in a vehicle such as a ship or an airplane.

In addition, in the above embodiment, a radar device using a millimeter wave radar is used as the obstacle detection unit 14, but the present invention is not limited to this. For example, a radar device using a laser radar may be used, or two cameras (stereo cameras) may be used as the obstacle detection unit 14. Also, sonar, LIDAR, etc. may be used, or any known technology may be used.

In addition, the processing performed by each part of the vehicle ECU 20 in the above embodiment has been described as software processing performed by executing a program, but this is not limited to this. For example, the processing may be performed by hardware. Alternatively, the processing may be a combination of both software and hardware. Furthermore, if the processing is software, the program may be stored in various storage media and distributed. Furthermore, the program may be in a form that is downloaded from an external device via a network.

Although one embodiment of the present invention has been described above, the present invention is not limited to this embodiment, and one embodiment may be appropriately combined with various modified examples, and the present invention may of course be embodied in various forms without departing from the spirit of the present invention.

12 Photographing unit 14 Obstacle detection unit 16 Display unit 20 Vehicle ECU (display processing device)
22 Image acquisition unit 24 Obstacle position identification unit 26 Adjustment unit 28 Image output unit 30 Vehicle 32 Other vehicle (obstacle)
32B Predetermined range 34 Other vehicles (obstacles)
34B Predetermined range 40 Vehicle surroundings image P Obstacle

Claims (5)

an obstacle position identifying unit that identifies a position of an obstacle around the vehicle detected by the obstacle detection unit;
an image acquisition unit that acquires an image of the surroundings of the vehicle captured by the image capture unit;
an adjustment unit that adjusts one or more of luminance, brightness, and contrast of a predetermined range including an area corresponding to the position of the one or more obstacles identified by the obstacle position identification unit in a display image that is generated based on the vehicle surroundings image and displayed on a display unit;
an image output unit that outputs the display image adjusted by the adjustment unit to the display unit;
A display processing device comprising: The display processing device according to claim 1, wherein the adjustment unit adjusts the display image by adjusting the vehicle surroundings image acquired by the image acquisition unit. The display processing device according to claim 1, wherein the adjustment unit adjusts the display image by adjusting the vehicle surroundings image captured by the image capture unit. Identifying the position of an obstacle around the vehicle detected by the obstacle detection unit;
Acquire an image of the surroundings of the vehicle captured by the image capturing unit;
adjusting one or more of luminance, brightness, and contrast of a predetermined range including an area corresponding to the positions of the one or more identified obstacles in a display image generated based on the vehicle surroundings image and displayed on a display unit;
A display processing method for outputting the adjusted display image to the display unit. an obstacle position identifying unit that identifies a position of an obstacle around the vehicle detected by the obstacle detection unit;
an image acquisition unit that acquires an image of the surroundings of the vehicle captured by the image capture unit;
an adjustment unit that adjusts one or more of luminance, brightness, and contrast of a predetermined range including an area corresponding to the position of the one or more obstacles identified by the obstacle position identification unit in a display image that is generated based on the vehicle surroundings image and displayed on a display unit;
an image output unit that outputs the display image adjusted by the adjustment unit to the display unit,
An operating program for a display processing device that causes a computer to function.