JP2019071677A - Shovel - Google Patents

Abstract

To allow an operator of a shovel to intuitively grasp a position of an object present around the shovel.SOLUTION: A shovel 60 includes: three cameras 2 mounted at three locations, a left part, a right part, and a rear part of an upper swing body 63 so as to image three directions of a left side, a right side, and a rear side of the upper swing body 63; a cab 64 mounted on the upper swing body 63; and a display unit 5 installed in the cab 64. Then, the shovel 60 causes the display unit 5 to simultaneously display a first image corresponding to at least one of three directions and a second image of the upper swing body 63 viewed from above, generated by composing images of the three directions, simultaneously displaying at least the left, right, and rear regions of the upper swing body 63a regardless of an orientation of a lower swing body 61.SELECTED DRAWING: Figure 21

Description

  The present invention relates to a shovel.

  BACKGROUND Conventionally, there is known a surrounding area monitoring device that emits an alarm sound when a worker is detected within a monitoring range of an obstacle detector mounted on a shovel (see, for example, Patent Document 1). In addition, whether or not the worker who has entered the work area set around the shovel is a joint worker or not is judged from the light emission pattern of the LED attached to the worker's helmet and the alarm sound is output An alarm system is known which determines whether or not (see, for example, Patent Document 2). Further, there is known a safety device which communicates with a forklift and an operator who works in the vicinity (around) thereof and controls the output of an alarm sound based on this communication (see, for example, Patent Document 3). ).

JP, 2008-179940, A JP, 2009-193494, A JP 2007-310587 A

  However, in any of the techniques disclosed in Patent Documents 1 to 3, the same buzzer or speaker sounds an alarm sound even if the worker who has entered the predetermined range is in any direction when viewed from the worker such as a shovel. Output. Therefore, even if the operator such as the shovel hears the alarm sound, it can not intuitively grasp in which direction the operator is present.

  In view of the above-mentioned point, the present invention aims to enable an operator of a shovel to intuitively grasp the position of an object present around the shovel.

  In order to achieve the above object, a shovel according to an embodiment of the present invention is mounted on a lower traveling body, an upper revolving body pivotally mounted on the lower traveling body, and the upper revolving body and attached to an attachment. The left part and the right part of the upper revolving superstructure so as to image the boom included in the boom, the arm attached to the boom and included in the attachment, and the left, right, and rear three directions of the upper revolving superstructure And three imaging devices mounted at three locations in the rear, a driver's cab mounted on the upper swing body, and a display unit installed in the driver's cab, the display unit including the three directions The first image corresponding to at least one direction of the above and the image of the three directions generated by combining the images of the three directions, regardless of the orientation of the undercarriage, at least to the left and right of the upper structure. , And the same area behind Displayed on a second image looking down from the sky to the upper swing structure to display at the same time.

  The above-described means can provide a shovel that enables the operator of the shovel to intuitively grasp the position of an object present around the shovel.

It is a block diagram showing roughly an example of composition of an image generation device concerning an example of the present invention. It is a figure which shows the structural example of the shovel by which an image generation apparatus is mounted. It is a figure which shows an example of the space model by which an input image is projected. FIG. 6 is a diagram showing an example of a relationship between a space model and a processing target image plane. It is a figure for demonstrating matching with the coordinate on an input image plane, and the coordinate on a space model. It is a figure for demonstrating the matching between the coordinates by a coordinate matching means. It is a figure for demonstrating the effect | action of a parallel line group. It is a figure for demonstrating the effect | action of an auxiliary line group. It is a flowchart which shows the flow of a process target image generation process and an output image generation process. It is an example of a display of an output picture (the 1). It is a top view (the 1) of a shovel by which an image generating device is carried. It is a figure (the 1) showing each input picture of three cameras carried in a shovel, and an output picture generated using those input pictures. It is a figure for demonstrating the image loss prevention process which prevents the loss | disappearance of the object in the overlapping part of imaging space of each of two cameras. FIG. 13 is a contrast diagram showing the difference between the output image shown in FIG. 12 and the output image obtained by applying the image loss prevention process to the output image of FIG. 12. It is a figure (the 2) showing each input picture of three cameras carried in a shovel, and an output picture generated using those input pictures. It is a corresponding | compatible table (the 1) which shows the correspondence of the determination result of a person existence determination means, and the input image used for generation | occurrence | production of an output image. It is an example of a display of an output picture (the 2). It is a top view (the 2) of a shovel by which an image generating device is carried. It is a corresponding | compatible table (the 2) which shows the correspondence of the determination result of a person existence / nonexistence determination means, and the input image used for production | generation of an output image. It is an example of a display of an output picture (the 3). It is an example of a display of an output picture (the 4). It is a flowchart which shows the flow of alarm control processing. It is a figure which shows an example of transition of the output image displayed during alarm control processing. It is a block diagram which shows roughly another structural example of a periphery monitoring apparatus.

  Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings.

  FIG. 1 is a block diagram schematically showing a configuration example of an image generation apparatus 100 according to an embodiment of the present invention.

  The image generation device 100 is an example of a work machine peripheral monitoring device for monitoring the periphery of a work machine, and includes a control unit 1, a camera 2, an input unit 3, a storage unit 4, a display unit 5, a human detection sensor 6, and The alarm output unit 7 is configured. Specifically, the image generating apparatus 100 generates an output image based on an input image captured by the camera 2 mounted on a work machine, and presents the output image to the operator. Further, the image generation device 100 switches the content of the output image to be presented based on the output of the human detection sensor 6.

  FIG. 2 is a view showing a configuration example of a shovel 60 as a working machine on which the image generating apparatus 100 is mounted. The shovel 60 is an upper portion of a crawler type lower traveling body 61 via a turning mechanism 62. The swing body 63 is rotatably mounted around the swing axis PV.

  The upper swing body 63 also has a cab (driver's cab) 64 on the front left side thereof and an excavating attachment E at the front center thereof, and the camera 2 (right side camera 2R, rear camera 2B on its right side and rear side) And a person detection sensor 6 (right person detection sensor 6R, rear person detection sensor 6B). In addition, the display part 5 is installed in the position in which the operator in the cab 64 visually recognizes. Further, in the cab 64, alarm output units 7 (right direction alarm output unit 7R, rear alarm output unit 7B) are installed on the right inner wall and the rear inner wall.

  Next, each component of the image generation apparatus 100 will be described.

  The control unit 1 is a computer provided with a central processing unit (CPU), a random access memory (RAM), a read only memory (ROM), a non-volatile random access memory (NVRAM), and the like. In the present embodiment, the control unit 1 stores, for example, programs corresponding to the coordinate association unit 10, the image generation unit 11, the person existence / non-existence determination unit 12, and the alarm control unit 13 described later in the ROM or NVRAM. A CPU executes processing corresponding to each means while using a RAM as a temporary storage area.

  The camera 2 is a device for acquiring an input image that reflects the surroundings of the shovel 60. In the present embodiment, the camera 2 is, for example, the right side camera 2R and the rear camera 2B attached to the right side surface and the rear surface of the upper swing body 63 so as to be able to capture an area which becomes a blind spot of the operator in the cab 64 (see FIG. 2)). In addition, the camera 2 includes an imaging element such as a charge coupled device (CCD) or a complementary metal oxide semiconductor (CMOS). The camera 2 may be attached to a position other than the right side surface and the rear surface of the upper swing body 63 (for example, the front surface and the left side surface), and a wide angle lens or a fisheye lens is attached to capture a wide range. It may be

  Further, the camera 2 acquires an input image according to a control signal from the control unit 1, and outputs the acquired input image to the control unit 1. When the camera 2 acquires an input image using a fisheye lens or a wide-angle lens, the corrected input image corrected for apparent distortion and tilt caused by using these lenses is sent to the control unit 1. Output. In addition, the camera 2 may output an input image not corrected for the apparent distortion or tilt to the control unit 1 as it is. In that case, the control unit 1 corrects the apparent distortion or tilt.

  The input unit 3 is a device for enabling an operator to input various information to the image generation device 100, and is, for example, a touch panel, a button switch, a pointing device, a keyboard, or the like.

  The storage unit 4 is a device for storing various information, and is, for example, a hard disk, an optical disk, a semiconductor memory, or the like.

  The display unit 5 is a device for displaying image information, and is, for example, a liquid crystal display or a projector installed in a cab 64 (see FIG. 2) of the shovel 60. Display an image.

  The human detection sensor 6 is a device for detecting a person present around the shovel 60. In the present embodiment, the human detection sensor 6 is attached to the right side surface and the rear surface of the upper swing body 63, for example, so as to be able to detect a person present in an area in the cab 64 which will be the blind spot of the operator (see FIG. 2). .

  The human detection sensor 6 is a sensor that distinguishes and detects a human from an object other than a human, for example, a sensor that detects an energy change in the corresponding monitoring space, and includes a pyroelectric infrared sensor, a bolometer infrared sensor, It includes a moving body detection sensor using an output signal of an infrared camera or the like. In the present embodiment, the human detection sensor 6 uses a pyroelectric infrared sensor, and detects a moving body (moving heat source) as a human. Also, the monitoring space of the right side person detection sensor 6R is included in the imaging space of the right side camera, and the monitoring space of the rear person detection sensor 6B is included in the imaging space of the rear camera 2B.

  The person detection sensor 6 may be attached to a position other than the right side surface and the rear surface (for example, the front surface and the left surface) of the upper swing body 63 as in the camera 2. It may be attached to any one of the left side surface, the right side surface, and the rear surface, and may be attached to all the surfaces.

  The alarm output unit 7 is a device that outputs an alarm to the operator of the shovel 60. For example, the alarm output unit 7 is an alarm device that outputs at least one of sound and light, and includes a sound output device such as a buzzer and a speaker, and a light emitting device such as an LED and a flash light. In the present embodiment, the alarm output unit 7 is a buzzer for outputting an alarm sound, and the right side alarm output unit 7R attached to the right inner wall of the cab 64 and the rear alarm output unit attached to the rear inner wall of the cab 64 7B (see FIG. 2).

  Further, the image generation apparatus 100 generates the processing target image based on the input image, and performs image conversion processing on the processing target image so that the positional relationship with the surrounding objects and the sense of distance can be intuitively grasped. After the output image to be generated is generated, the output image may be presented to the operator.

  The “processing target image” is an image to be generated based on an input image and to be a target of image conversion processing (for example, scale conversion processing, affine conversion processing, distortion conversion processing, viewpoint conversion processing, and the like). Specifically, the “processing target image” is, for example, an input image by a camera that captures the ground surface from above, and an input image including an image in the horizontal direction (for example, a sky part) due to its wide angle of view. An image suitable for image conversion processing, generated from More specifically, the input image is projected onto a predetermined spatial model so that the horizontal image is not displayed unnaturally (for example, the sky portion is not treated as being on the ground surface). It is generated by reprojecting the projection image projected on the space model to another two-dimensional plane. Note that the processing target image may be used as an output image as it is without performing image conversion processing.

  The "space model" is a projection target of the input image. Specifically, the “space model” is configured by one or more planes or curved surfaces including at least a plane or curved surface other than the processing target image plane which is a plane on which the processing target image is located. A plane or a curved surface other than the processing target image plane which is a plane on which the processing target image is located is, for example, a plane parallel to the processing target image plane or a plane or a curved surface forming an angle with the processing target image plane. .

  The image generation apparatus 100 may generate an output image by performing an image conversion process on the projection image projected on the space model without generating the processing target image. In addition, the projection image may be used as an output image as it is without performing image conversion processing.

  FIG. 3 is a view showing an example of a space model MD on which an input image is projected, and the left view of FIG. 3 shows the relationship between the shovel 60 and the space model MD when the shovel 60 is viewed from the side. 3 shows the relationship between the shovel 60 and the space model MD when the shovel 60 is viewed from above.

  As shown in FIG. 3, the space model MD has a semi-cylindrical shape, and has a flat region R1 inside the bottom and a curved region R2 inside the side.

  FIG. 4 is a diagram showing an example of the relationship between the space model MD and the processing target image plane, and the processing target image plane R3 is, for example, a plane including the plane region R1 of the space model MD. Although FIG. 4 shows the space model MD not in a semi-cylindrical shape as shown in FIG. 3 but in a cylindrical shape for clarity, the space model MD has either a semi-cylindrical shape or a cylindrical shape. It may be The same applies to the following figures. Further, as described above, the processing target image plane R3 may be a circular area including the plane area R1 of the space model MD, or may be an annular area not including the plane area R1 of the space model MD.

  Next, various units included in the control unit 1 will be described.

  The coordinate associating means 10 is a means for associating the coordinates on the input image plane where the input image captured by the camera 2 is located, the coordinates on the space model MD, and the coordinates on the processing object image plane R3. In the present embodiment, the coordinate associating unit 10 includes, for example, various parameters related to the camera 2 set in advance or input through the input unit 3, and an input image plane, a space model MD, and the like, which are determined in advance. The coordinates on the input image plane, the coordinates on the space model MD, and the coordinates on the processing image plane R3 are associated based on the mutual positional relationship between the processing object image plane R3. The various parameters relating to the camera 2 are, for example, the optical center of the camera 2, focal length, CCD size, optical axis direction vector, camera horizontal direction vector, projection method and the like. Then, the coordinate correlating means 10 stores the correspondence between them in the input image / space model correspondence map 40 of the storage unit 4 and the space model / processing target image correspondence map 41.

  Note that, when the coordinate association unit 10 does not generate the processing target image, the association between the coordinates on the space model MD and the coordinates on the processing target image plane R3, and the space model of the corresponding relationship and the processing target The storage in the image correspondence map 41 is omitted.

  The image generation unit 11 is a unit for generating an output image. In the present embodiment, the image generation unit 11 performs, for example, scale conversion, affine conversion, or distortion conversion on the processing target image to obtain the coordinates on the processing target image plane R3 and the output image on which the output image is located. Correspond to the coordinates. Then, the image generation unit 11 stores the correspondence in the processing target image / output image correspondence map 42 of the storage unit 4. Then, the image generation unit 11 associates the value of each pixel in the output image with the value of each pixel in the input image while referring to the input image / space model correspondence map 40 and the space model / process target image correspondence map 41. Generate an output image. The value of each pixel is, for example, a luminance value, a hue value, a saturation value or the like.

  Further, the image generation unit 11 outputs an image plane on which coordinates on the image plane R3 to be processed and an output image are located based on various parameters related to the virtual camera set in advance or input through the input unit 3. Correspond with the upper coordinates. The various parameters relating to the virtual camera are, for example, the optical center of the virtual camera, the focal length, the CCD size, the optical axis direction vector, the camera horizontal direction vector, the projection method, and the like. Then, the image generation unit 11 stores the correspondence in the processing target image / output image correspondence map 42 of the storage unit 4. Then, the image generation unit 11 associates the value of each pixel in the output image with the value of each pixel in the input image while referring to the input image / space model correspondence map 40 and the space model / process target image correspondence map 41. Generate an output image.

  The image generation unit 11 may generate the output image by changing the scale of the processing target image without using the concept of the virtual camera.

  Further, when the image to be processed is not generated, the image generation unit 11 associates the coordinates on the space model MD with the coordinates on the output image plane according to the applied image conversion processing. Then, while referring to the input image / space model correspondence map 40, the image generation unit 11 associates the value of each pixel in the output image with the value of each pixel in the input image to generate an output image. In this case, the image generation unit 11 omits the correspondence between the coordinates on the processing target image plane R3 and the coordinates on the output image plane and the storage of the correspondence in the processing target image / output image correspondence map 42. .

  Further, the image generation unit 11 switches the content of the output image based on the determination result of the person presence / absence determination unit 12. Specifically, the image generation unit 11 switches the input image used to generate the output image based on the determination result of the person presence / absence determination unit 12, for example. The details of the switching of the input image used to generate the output image and the output image generated based on the switched input image will be described later.

  The human presence / absence determination means 12 is a means for determining the presence / absence of a person in each of a plurality of monitoring spaces set around the work machine. In the present embodiment, the human presence / absence determination means 12 determines the presence / absence of a person around the shovel 60 based on the output of the human detection sensor 6.

  In addition, the human presence / absence determination means 12 may determine the presence / absence of a person in each of a plurality of monitoring spaces set around the work machine based on the input image captured by the camera 2. Specifically, the human presence / absence judgment means 12 may judge presence / absence of a person around the work machine using an image processing technology such as optical flow, pattern matching and the like. The human presence / absence determination means 12 may determine the presence / absence of a person around the work machine based on the output of an image sensor other than the camera 2.

  Alternatively, the human presence / absence determination means 12 determines the presence / absence of a person in each of the plurality of monitoring spaces set around the work machine based on the output of the human detection sensor 6 and the output of the image sensor such as the camera 2 It is also good.

  The alarm control unit 13 is a unit that controls the alarm output unit 7. In the present embodiment, the alarm control unit 13 controls the alarm output unit 7 based on the determination result of the person presence / absence determination unit 12. The control of the alarm output unit 7 by the alarm control means 13 will be described in detail later.

  Next, an example of specific processing by the coordinate matching unit 10 and the image generation unit 11 will be described.

  The coordinate correlating means 10 can associate the coordinates on the input image plane with the coordinates on the space model using, for example, the quaternion of Hamilton.

  FIG. 5 is a diagram for explaining the correspondence between the coordinates on the input image plane and the coordinates on the space model. The input image plane of the camera 2 is represented as a plane in the UVW orthogonal coordinate system whose origin is the optical center C of the camera 2. A space model is represented as a solid plane in an XYZ orthogonal coordinate system.

  First, the coordinate correlating means 10 moves the origin of the XYZ coordinate system parallel to the optical center C (the origin of the UVW coordinate system), then sets the X axis as the U axis, the Y axis as the V axis, and the Z axis Rotate the XYZ coordinate system so as to match each with the -W axis. This is to convert coordinates on the space model (coordinates on the XYZ coordinate system) into coordinates on the input image plane (coordinates on the UVW coordinate system). The sign “−” of “−W axis” means that the direction of the Z axis and the direction of the −W axis are opposite. This is because the UVW coordinate system has the + W direction in front of the camera, and the XYZ coordinate system has the -Z direction in the vertically downward direction.

  In the case where a plurality of cameras 2 exist, each of the cameras 2 has a separate UVW coordinate system, so the coordinate correlating means 10 moves the XYZ coordinate system parallel to each of the plurality of UVW coordinate systems and Rotate.

  The above-mentioned conversion rotates the Z-axis to coincide with the -W axis after parallelly moving the XYZ coordinate system so that the optical center C of the camera 2 becomes the origin of the XYZ coordinate system. It is realized by rotating to coincide with the axis. Therefore, the coordinate correlating means 10 can combine these two rotations into one rotation operation by describing this conversion by the quaternion of Hamilton.

  By the way, the rotation for making one vector A coincide with another vector B corresponds to the processing of rotating by an angle formed by the vector A and the vector B around the normal of the surface where the vector A and the vector B extend. . Then, assuming that the angle is θ, from the inner product of the vector A and the vector B, the angle θ is

Is represented by

  Also, the unit vector N of the normal to the surface where the vector A and the vector B extend is the outer product of the vector A and the vector B

Will be represented by

  When quaternions are i, j, k as imaginary units, respectively,

In the present embodiment, the quaternion Q has real components as t and pure imaginary components as a, b, and c, respectively.

And the quaternion of the quaternion Q is

Is represented by

  The quaternion Q can express a three-dimensional vector (a, b, c) with pure imaginary components a, b, c while setting the real component t to 0 (zero), and t, a, b The components c and c can represent rotational motion about an arbitrary vector.

  Furthermore, the quaternion Q can be expressed as one rotation operation by integrating a plurality of consecutive rotation operations. Specifically, for example, the quaternion Q is obtained by rotating an arbitrary point S (sx, sy, sz) by an angle θ with an arbitrary unit vector C (l, m, n) as an axis. The point D (ex, ey, ez) can be expressed as follows.

Here, in the present embodiment, assuming that a quaternion representing a rotation that causes the Z axis to coincide with the -W axis is Qz, the point X on the X axis in the XYZ coordinate system is moved to the point X '. X 'is

Is represented by

  Further, in the present embodiment, assuming that a quaternion representing a rotation that causes the line connecting point X ′ on the X axis and the origin to coincide with the U axis be Qx, “the Z axis coincides with the −W axis. , A quaternion R representing "rotation to align the X axis with the U axis",

Is represented by

  As described above, coordinates P ′ when arbitrary coordinates P on the space model (XYZ coordinate system) are expressed by coordinates on the input image plane (UVW coordinate system) are:

Is represented by Further, since the quaternion R is invariant for each of the cameras 2, the coordinate correlating means 10 executes coordinates in the input image plane (UVW coordinate system) simply by executing this operation thereafter. Coordinate system) can be converted to coordinates.

  After converting the coordinates on the space model (XYZ coordinate system) to the coordinates on the input image plane (UVW coordinate system), the coordinate correlating means 10 forms a line segment CP ′ and the optical axis G of the camera 2 The incident angle α is calculated. The line segment CP ′ is a line connecting the optical center C (coordinates on the UVW coordinate system) of the camera 2 and coordinates P ′ that represent arbitrary coordinates P on the space model in the UVW coordinate system.

  Further, the coordinate associating unit 10 calculates the argument φ in the plane H parallel to the input image plane R4 (for example, the CCD plane) of the camera 2 and including the coordinate P ′ and the length of the line segment EP ′. The line segment EP 'is a line connecting the intersection point E between the plane H and the optical axis G and the coordinates P', and the argument φ forms the U 'axis in the plane H and the line segment EP' Is the angle at which

  In the camera optical system, the image height h is usually a function of the incident angle α and the focal length f. For this reason, the coordinate associating unit 10 performs the normal projection (h = ftan α), the orthogonal projection (h = fsinα), the solid projection (h = 2 ftan (α / 2)), the iso-stereographic projection (h = 2 f sin (α / 2) The image height h is calculated by selecting an appropriate projection method such as)), equidistant projection (h = fα) or the like.

  Thereafter, the coordinate associating unit 10 decomposes the calculated image height h into U component and V component on the UV coordinate system by the argument angle φ, and has a numerical value corresponding to the pixel size per pixel of the input image plane R4. Divide Accordingly, the coordinate associating unit 10 can associate the coordinates P (P ′) on the space model MD with the coordinates on the input image plane R4.

Incidentally, when the pixel size per one pixel in the U axis direction of the input image plane R4 and a _U, the pixel size per one pixel in the V axis direction of the input image plane R4 and a _V, coordinates P of the space model MD The coordinates (u, v) on the input image plane R4 corresponding to (P ′) are

Is represented by

  In this way, the coordinate associating unit 10 associates the coordinates on the space model MD with the coordinates on one or more input image plane R4 existing for each camera, and coordinates on the space model MD, a camera identifier , And coordinates on the input image plane R4 are stored in the input image / space model correspondence map 40 in association with each other.

  Further, since the coordinate correlating means 10 calculates transformation of coordinates using quaternions, it has an advantage that gimbal lock is not generated unlike the case of calculating transformation of coordinates using Euler angles. . However, the coordinate correlating means 10 is not limited to one that calculates transformation of coordinates using a quaternion, and may calculate the transformation of coordinates using Euler angles.

  In addition, when the correspondence to the coordinates on the plurality of input image planes R4 is possible, the coordinate associating unit 10 inputs the coordinates P (P ′) on the space model MD with respect to the camera having the smallest incident angle α. It may be made to correspond to the coordinates on the image plane R4, or may be made to correspond to the coordinates on the input image plane R4 selected by the operator.

  Next, among the coordinates on the space model MD, a process of re-projecting coordinates on the curved surface region R2 (coordinates having components in the Z-axis direction) on the processing target image plane R3 on the XY plane will be described.

  FIG. 6 is a diagram for explaining the association between the coordinates by the coordinate association means 10. As shown in FIG. F6A is a diagram showing the correspondence between coordinates on the input image plane R4 of the camera 2 adopting coordinates (h = ftan α) as an example and coordinates on the space model MD. The coordinate correlating means 10 causes each of the line segments connecting the coordinates on the input image plane R4 of the camera 2 and the coordinates on the space model MD corresponding to the coordinates to pass through the optical center C of the camera 2, Correspond both coordinates.

  In the example of F6A, the coordinate associating unit 10 associates the coordinate K1 on the input image plane R4 of the camera 2 with the coordinate L1 on the plane region R1 of the space model MD, and the coordinate K2 on the input image plane R4 of the camera 2 Are associated with the coordinate L2 on the curved surface area R2 of the space model MD. At this time, the line segment K <b> 1-L <b> 1 and the line segment K <b> 2-L <b> 2 both pass the optical center C of the camera 2.

  When the camera 2 adopts a projection method other than the normal projection (for example, orthographic projection, stereographic projection, equi-solid-angle projection, equidistant projection, etc.), the coordinate correlating means 10 sets the respective projection methods. Accordingly, the coordinates K1 and K2 on the input image plane R4 of the camera 2 are associated with the coordinates L1 and L2 on the space model MD.

  Specifically, the coordinate correlating means 10 is configured to set a predetermined function (for example, orthogonal projection (h = fsin α), solid projection (h = 2 ftan (α / 2)), isosolid angle projection (h = 2 f sin (α /) 2) The coordinates on the input image plane are associated with the coordinates on the space model MD based on the equidistant projection (h = fα) and the like. In this case, the line segment K1-L1 and the line segment K2-L2 do not pass through the optical center C of the camera 2.

  F6B is a diagram showing the correspondence between the coordinates on the curved surface area R2 of the space model MD and the coordinates on the processing object image plane R3. The coordinate correlating means 10 is a parallel line group PL located on the XZ plane, and introduces a parallel line group PL which forms an angle β with the processing target image plane R3. Then, the coordinate associating unit 10 causes both the coordinates on the curved surface region R2 of the space model MD and the coordinates on the processing target image plane R3 corresponding to the coordinates to be on one of the parallel line group PL. , Correspond both coordinates.

  In the example of F6B, the coordinate associating unit 10 associates both coordinates on the assumption that the coordinate L2 on the curved surface area R2 of the space model MD and the coordinate M2 on the processing target image plane R3 lie on a common parallel line.

  Note that the coordinate associating unit 10 can associate the coordinates on the plane region R1 of the space model MD with the coordinates on the processing object image plane R3 using the parallel line group PL in the same manner as the coordinates on the curved region R2. is there. However, in the example of F6B, the planar region R1 and the processing target image plane R3 are common to each other. Therefore, the coordinate L1 on the plane region R1 of the space model MD and the coordinate M1 on the processing target image plane R3 have the same coordinate value.

  Thus, the coordinate associating unit 10 associates the coordinates on the space model MD with the coordinates on the processing object image plane R3, and associates the coordinates on the space model MD and the coordinates on the processing object image plane R3. Are stored in the space model / processing target image correspondence map 41.

  F6C is a diagram showing the correspondence relationship between the coordinates on the processing target image plane R3 and the coordinates on the output image plane R5 of the virtual camera 2V adopting a normal projection (h = ftan α) as an example. The image generation unit 11 causes each of the line segments connecting the coordinates on the output image plane R5 of the virtual camera 2V and the coordinates on the processing target image plane R3 corresponding to the coordinates to pass through the optical center CV of the virtual camera 2V. And associate both coordinates.

  In the example of F6C, the image generation unit 11 associates the coordinates N1 on the output image plane R5 of the virtual camera 2V with the coordinates M1 on the processing target image plane R3 (the plane region R1 of the space model MD). The coordinate N2 on the output image plane R5 is associated with the coordinate M2 on the processing object image plane R3. At this time, the line segment M1-N1 and the line segment M2-N2 both pass the optical center CV of the virtual camera 2V.

  When the virtual camera 2V adopts a projection method other than the normal projection (for example, orthographic projection, stereographic projection, iso-stereographic projection, equidistant projection, etc.), the image generation unit 11 selects one of the projection systems. Accordingly, the coordinates N1 and N2 on the output image plane R5 of the virtual camera 2V are associated with the coordinates M1 and M2 on the processing target image plane R3.

  Specifically, the image generation unit 11 generates a predetermined function (for example, an orthogonal projection (h = fsin α), a solid projection (h = 2 ftan (α / 2)), an isostatic projection (h = 2 f sin (α / 2) The coordinates on the output image plane R5 are associated with the coordinates on the processing object image plane R3 on the basis of equidistant projection (h = fα) etc.)). In this case, the line segment M1-N1 and the line segment M2-N2 do not pass through the optical center CV of the virtual camera 2V.

  Thus, the image generation unit 11 associates the coordinates on the output image plane R5 with the coordinates on the processing object image plane R3, and coordinates on the output image plane R5 and the coordinates on the processing object image plane R3. It associates and stores in the processing target image / output image correspondence map 42. Then, the image generation unit 11 associates the value of each pixel in the output image with the value of each pixel in the input image while referring to the input image / space model correspondence map 40 and the space model / process target image correspondence map 41. Generate an output image.

  F6D is a diagram combining F6A to F6C, and shows the mutual positional relationship between the camera 2, the virtual camera 2V, the plane region R1 and the curved region R2 of the space model MD, and the processing target image plane R3.

  Next, with reference to FIG. 7, an operation of the parallel line group PL introduced by the coordinate associating unit 10 in order to associate the coordinates on the space model MD and the coordinates on the processing target image plane R3 will be described.

  The left drawing of FIG. 7 is a view in the case where an angle β is formed between the parallel line group PL located on the XZ plane and the processing object image plane R3. On the other hand, FIG. 7 right figure is a view in the case where an angle β1 (β1> β) is formed between the parallel line group PL located on the XZ plane and the processing target image plane R3. Further, each of the coordinates La to Ld on the curved surface region R2 of the space model MD in the left drawing of FIG. 7 and the right drawing of FIG. 7 corresponds to each of the coordinates Ma to Md on the processing target image plane R3. Moreover, each space | interval of coordinate La-Ld in FIG. 7 left figure is equal to each space | interval of coordinate La-Ld in FIG. 7 right figure. Although the parallel line group PL is present on the XZ plane for the purpose of explanation, in reality, it is present so as to radially extend from all points on the Z axis toward the processing object image plane R3. Do. Note that the Z axis in this case is referred to as "reprojection axis".

  As shown in FIG. 7 left and FIG. 7 right, the distance between the parallel line group PL and the processing object image surface R3 increases the distance between the coordinates Ma to Md on the processing object image surface R3. It decreases linearly as That is, the distance between the curved surface area R2 of the space model MD and each of the coordinates Ma to Md decreases uniformly regardless of the distance. On the other hand, the coordinate group on the plane region R1 of the space model MD is not converted to the coordinate group on the processing object image plane R3 in the example of FIG. 7, so the interval between the coordinate groups does not change. .

  Among the image portions on the output image plane R5 (see FIG. 6), the change in the distance between these coordinate groups is linearly expanded or only the image portion corresponding to the image projected on the curved region R2 of the space model MD. It means to be reduced.

  Next, with reference to FIG. 8, an alternative example of the parallel line group PL introduced by the coordinate associating unit 10 in order to associate the coordinates on the space model MD with the coordinates on the processing target image plane R3 will be described.

  The left side of FIG. 8 is a diagram in the case where all the auxiliary line groups AL located on the XZ plane extend from the starting point T1 on the Z axis toward the processing object image plane R3. On the other hand, the right side of FIG. 8 is a diagram in the case where all the auxiliary line groups AL extend from the start point T2 (T2> T1) on the Z axis toward the processing object image plane R3. Further, each of the coordinates La to Ld on the curved surface region R2 of the space model MD in the left side of FIG. 8 and the right side of FIG. 8 corresponds to each of the coordinates Ma to Md on the processing target image plane R3. In the example of the left figure of FIG. 8, the coordinates Mc and Md are not shown because they are outside the area of the processing target image plane R3. Moreover, each space | interval of coordinate La-Ld in FIG. 8 left figure is equal to each space | interval of coordinate La-Ld in FIG. 8 right figure. Although the auxiliary line group AL is present on the XZ plane for the purpose of explanation, in reality, the auxiliary line group AL is present so as to radially extend from any one point on the Z axis toward the processing object image plane R3. Do. As in FIG. 7, the Z axis in this case is referred to as “reprojection axis”.

  As shown in FIG. 8 left and FIG. 8 right, the distance between each of the coordinates Ma to Md on the processing target image plane R3 is the distance (height) between the start point of the auxiliary line group AL and the origin O Decreases non-linearly as That is, the larger the distance between the curved surface region R2 of the space model MD and each of the coordinates Ma to Md, the larger the reduction width of each interval. On the other hand, the coordinate group on the plane region R1 of the space model MD is not converted to the coordinate group on the processing target image plane R3 in the example of FIG. 8, so the interval between the coordinate groups does not change. .

  The change in the distance between these coordinate groups corresponds to the image projected on the curved region R2 of the space model MD in the image portion on the output image plane R5 (see FIG. 6), as in the parallel line group PL. It means that only the image part is expanded or reduced non-linearly.

  In this manner, the image generation device 100 does not affect the image portion (for example, a road surface image) of the output image corresponding to the image projected on the plane region R1 of the space model MD, and the space model MD is generated. The image portion (for example, a horizontal image) of the output image corresponding to the image projected onto the curved surface region R2 of the image data of the image data may be expanded or reduced linearly or non-linearly. Therefore, the image generating apparatus 100 does not affect the road surface image in the vicinity of the shovel 60 (a virtual image when the shovel 60 is viewed from directly above), and an object located around the shovel 60 (horizontal direction from the shovel 60) It is possible to quickly and flexibly enlarge or reduce the object (in the image when the surroundings are viewed), and to improve the visibility of the blind area of the shovel 60.

  Next, referring to FIG. 9, a process in which the image generation apparatus 100 generates a processing target image (hereinafter referred to as “processing target image generation processing”), and an output image using the generated processing target image. A process of generating (hereinafter, referred to as “output image generation process”) will be described. FIG. 9 is a flowchart showing the flow of processing target image generation processing (steps S1 to S3) and output image generation processing (steps S4 to S6). Further, the arrangement of the camera 2 (input image plane R4), the space model (plane area R1 and curved area R2), and the processing target image plane R3 are determined in advance.

  First, the control unit 1 causes the coordinate associating unit 10 to associate the coordinates on the processing target image plane R3 with the coordinates on the space model MD (step S1).

  Specifically, the coordinate associating unit 10 acquires an angle formed between the parallel line group PL and the processing target image plane R3. Then, the coordinate associating unit 10 calculates a point at which one of the parallel line group PL extending from one coordinate on the processing target image plane R3 intersects the curved surface region R2 of the space model MD. Then, the coordinate associating unit 10 derives the coordinates on the curved surface area R2 corresponding to the calculated point as one coordinate on the curved surface area R2 corresponding to the one coordinate on the processing target image plane R3, and the correspondence relationship It is stored in the space model / processing target image correspondence map 41. The angle formed between the parallel line group PL and the processing target image plane R3 may be a value stored in advance in the storage unit 4 or the like, and the operator dynamically uses the input unit 3 via the input unit 3. It may be a value to be input.

  Further, when one coordinate on the processing target image plane R3 coincides with one coordinate on the plane region R1 of the space model MD, the coordinate associating unit 10 processes the one coordinate on the plane region R1 as the processing target image. It is derived as one coordinate corresponding to the one coordinate on the plane R 3, and the correspondence is stored in the spatial model-processing target image correspondence map 41.

  After that, the control unit 1 causes the coordinate associating unit 10 to associate one coordinate on the space model MD derived by the above-described processing with the coordinate on the input image plane R4 (step S2).

  Specifically, the coordinate associating unit 10 acquires the coordinates of the optical center C of the camera 2 that adopts the normal projection (h = f tan α). The coordinate associating unit 10 is a line segment extending from one coordinate on the space model MD, and calculates a point at which the line segment passing through the optical center C intersects with the input image plane R4. Then, the coordinate associating unit 10 derives the coordinates on the input image plane R4 corresponding to the calculated point as one coordinate on the input image plane R4 corresponding to the one coordinate on the space model MD, and the correspondence relationship The input image / space model correspondence map 40 is stored.

  Thereafter, the control unit 1 determines whether all the coordinates on the processing target image plane R3 are associated with the coordinates on the space model MD and the coordinates on the input image plane R4 (step S3). Then, when it is determined that all the coordinates have not been associated yet (NO in step S3), the control unit 1 repeats the processing in step S1 and step S2.

  On the other hand, when it is determined that all the coordinates are associated (YES in step S3), the control unit 1 ends the processing target image generation processing and then starts the output image generation processing. Then, the control unit 1 causes the image generation unit 11 to associate the coordinates on the processing target image plane R3 with the coordinates on the output image plane R5 (step S4).

  Specifically, the image generation unit 11 generates an output image by performing scale conversion, affine conversion, or distortion conversion on the processing target image. Then, the image generation unit 11 processes the correspondence between the coordinates on the processing target image plane R3 and the coordinates on the output image plane R5, which is determined by the contents of the applied scale conversion, affine conversion, or distortion conversion. Store in the output image correspondence map 42.

  Alternatively, when generating an output image using the virtual camera 2V, the image generation unit 11 calculates the coordinates on the output image plane R5 from the coordinates on the processing target image plane R3 according to the adopted projection method, The correspondence relationship may be stored in the processing target image / output image correspondence map 42.

  Alternatively, when generating an output image using the virtual camera 2V adopting normal projection (h = ftan α), the image generation unit 11 acquires the coordinates of the optical center CV of the virtual camera 2V. Then, the image generation unit 11 is a line segment extending from one coordinate on the output image plane R5, and calculates a point at which the line segment passing through the optical center CV intersects the processing target image plane R3. Then, the image generation unit 11 derives the coordinates on the processing target image plane R3 corresponding to the calculated point as one coordinate on the processing target image plane R3 corresponding to the one coordinate on the output image plane R5. In this manner, the image generation unit 11 may store the correspondence in the processing target image / output image correspondence map 42.

  After that, the image generation unit 11 of the control unit 1 refers to the input image / space model correspondence map 40, the space model / processing target image correspondence map 41, and the processing target image / output image correspondence map 42. Then, the image generation means 11 corresponds the correspondence between the coordinates on the input image plane R4 and the coordinates on the space model MD, the correspondence between the coordinates on the space model MD and the coordinates on the processing object image plane R3, and the processing object The correspondence between the coordinates on the image plane R3 and the coordinates on the output image plane R5 is traced. Then, the image generation unit 11 acquires values (for example, luminance value, hue value, saturation value, etc.) of the coordinates on the input image plane R4 corresponding to the respective coordinates on the output image plane R5, The acquired value is adopted as the value of each coordinate on the corresponding output image plane R5 (step S5). When a plurality of coordinates on the plurality of input image planes R4 correspond to one coordinate on the output image plane R5, the image generation unit 11 generates each of the plurality of coordinates on the plurality of input image planes R4. A value-based statistic may be derived and adopted as the value of its one coordinate on the output image plane R5. The statistical value is, for example, an average value, a maximum value, a minimum value, an intermediate value, and the like.

  Thereafter, the control unit 1 determines whether or not the values of all the coordinates on the output image plane R5 are associated with the values of the coordinates on the input image plane R4 (step S6). Then, when it is determined that the values of all the coordinates are not associated yet (NO in step S6), the control unit 1 repeats the processes of step S4 and step S5.

  On the other hand, when it is determined that the values of all the coordinates are associated (YES in step S6), the control unit 1 generates an output image and terminates this series of processing.

  When the image generation apparatus 100 does not generate the processing target image, the processing target image generation process is omitted. In this case, the "coordinates on the processing target image plane" in step S4 in the output image generation process can be read as "coordinates on the space model".

  With the above configuration, the image generating apparatus 100 can generate the processing target image and the output image that can make the operator intuitively grasp the positional relationship between the object around the shovel 60 and the shovel 60.

  Further, the image generation apparatus 100 performs coordinate association so as to trace back to the input image plane R4 from the processing target image plane R3 through the space model MD. Thereby, the image generation device 100 can reliably make each coordinate on the processing target image plane R3 correspond to one or more coordinates on the input image plane R4. Therefore, the image generation apparatus 100 generates a processing target image of better quality more quickly than the case of executing coordinate matching in the order from the input image plane R4 to the processing target image plane R3 via the space model MD. Can. When matching of coordinates is performed from the input image plane R4 to the processing target image plane R3 via the space model MD, each coordinate on the input image plane R4 corresponds to one or more coordinates on the processing target image plane R3. It can be made to correspond surely to coordinates. However, a part of the coordinates on the processing target image plane R3 may not be associated with any coordinates on the input image plane R4, and in this case, a part of the coordinates on the processing target image plane R3 It is necessary to perform interpolation processing etc.

  Further, in the case of enlarging or reducing only the image corresponding to the curved surface region R2 of the space model MD, the image generation device 100 changes the angle formed between the parallel line group PL and the processing target image plane R3. Desired enlargement or reduction can be realized without rewriting the content of the input image / space model correspondence map 40 only by rewriting only the part related to the curved region R2 in the space model / processing target image correspondence map 41. .

  Further, when changing the appearance of the output image, the image generation apparatus 100 only changes the values of various parameters related to scale conversion, affine conversion, or distortion conversion to rewrite the processing target image / output image correspondence map 42. A desired output image (scale conversion image, affine conversion image or distortion conversion image) can be generated without rewriting the contents of the input image / space model correspondence map 40 and the space model / processing target image correspondence map 41.

  Similarly, when changing the viewpoint of the output image, the image generation apparatus 100 changes the values of various parameters of the virtual camera 2 V and rewrites the processing object image / output image correspondence map 42 to change the input image / space. An output image (viewpoint conversion image) viewed from a desired viewpoint can be generated without rewriting the contents of the model correspondence map 40 and the space model / process target image correspondence map 41.

  FIG. 10 is a display example when an output image generated using input images of two cameras 2 (right-side camera 2R and rear camera 2B) mounted on the shovel 60 is displayed on the display unit 5 .

  The image generation apparatus 100 projects the input image of each of the two cameras 2 onto the plane region R1 and the curved region R2 of the space model MD, and reprojects the image on the processing target image plane R3 to generate the processing target image. Do. Then, the image generation apparatus 100 generates an output image by performing image conversion processing (for example, scale conversion, affine conversion, distortion conversion, viewpoint conversion processing, and the like) on the generated processing target image. In this manner, the image generating apparatus 100 displays an image (image in the flat region R1) looking down from above the vicinity of the shovel 60 and an image (image in the processing target image plane R3) looking horizontally from the shovel 60 And an output image to be displayed simultaneously. Hereinafter, such an output image is referred to as a peripheral monitoring virtual viewpoint image.

  When the image generation apparatus 100 does not generate the processing target image, the peripheral monitoring virtual viewpoint image performs an image conversion process (for example, a viewpoint conversion process) on the image projected on the space model MD. Generated by

  In addition, the virtual viewpoint image for periphery monitoring is trimmed in a circular shape so that an image when the shovel 60 performs a turning operation can be displayed without a sense of incongruity, and the center CTR of the circle is on the cylinder central axis of the space model MD and It is generated so as to be on the pivot axis PV of the shovel 60. Therefore, in accordance with the turning operation of the shovel 60, the periphery monitoring virtual viewpoint image is displayed so as to rotate about the center CTR. In this case, the cylinder central axis of the space model MD may or may not coincide with the reprojection axis.

  The radius of the space model MD is, for example, 5 meters. In addition, the angle formed by the parallel line group PL with the processing target image plane R3, or the starting point height of the auxiliary line group AL, is the maximum reach distance of the excavating attachment E from the turning center of the shovel 60 (for example, 12 meters) Is set so that when an object (for example, an operator) is present at a position far away from the display, the object is displayed on the display unit 5 sufficiently large (for example, 7 millimeters or more). obtain.

  Furthermore, the virtual viewpoint image for periphery monitoring may be arranged such that the CG image of the shovel 60 is such that the front of the shovel 60 coincides with the upper side of the screen of the display unit 5 and the turning center thereof coincides with the center CTR. . This is to make it easier to understand the positional relationship between the shovel 60 and the object appearing in the output image. Note that, in the periphery monitoring virtual viewpoint image, a frame image including various information such as an orientation may be arranged around it.

  Next, the details of the periphery monitoring virtual viewpoint image generated by the image generation apparatus 100 will be described with reference to FIGS. 11 to 14.

  FIG. 11 is a top view of a shovel 60 on which the image generating apparatus 100 is mounted. In the embodiment shown in FIG. 11, the shovel 60 has three cameras 2 (left side camera 2L, right side camera 2R, and rear camera 2B) and three human detection sensors 6 (left side human detection sensor 6L, right side) And a rear person detection sensor 6B). Regions CL, CR, and CB indicated by alternate long and short dash lines in FIG. 11 indicate imaging spaces of the left side camera 2L, the right side camera 2R, and the rear camera 2B, respectively. Further, areas ZL, ZR, and ZB indicated by dotted lines in FIG. 11 indicate monitoring spaces of the left side detection sensor 6L, the right side detection sensor 6R, and the rear detection sensor 6B, respectively. In addition, the shovel 60 includes the display unit 5 and three alarm output units 7 (a left direction alarm output unit 7L, a right direction alarm output unit 7R, and a rear alarm output unit 7B) in the cab 64.

  In the present embodiment, although the monitoring space of the human detection sensor 6 is narrower than the imaging space of the camera 2, the monitoring space of the human detection sensor 6 may be the same as the imaging space of the camera 2. It may be wide. In addition, although the monitoring space of the human detection sensor 6 is located near the shovel 60 in the imaging space of the camera 2, the monitoring space may be in an area farther from the shovel 60. Also, the monitoring space of the human detection sensor 6 has an overlapping portion in the portion where the imaging space of the camera 2 overlaps. For example, in the overlapping portion of the imaging space CR of the right side camera 2R and the imaging space CB of the rear camera 2B, the monitoring space ZR of the right side person detection sensor 6R overlaps with the monitoring space ZB of the rear person detection sensor 6B. However, the monitoring space of the human detection sensor 6 may be arranged so that duplication does not occur.

  FIG. 12 shows an input image of each of the three cameras 2 mounted on the shovel 60 and an output image generated using the input images.

  The image generation apparatus 100 projects the input image of each of the three cameras 2 onto the plane region R1 and the curved region R2 of the space model MD, and reprojects the image on the processing target image plane R3 to generate the processing target image. . Further, the image generation apparatus 100 generates an output image by performing image conversion processing (for example, scale conversion, affine conversion, distortion conversion, viewpoint conversion processing, and the like) on the generated processing target image. As a result, the image generating apparatus 100 displays an image (image in the flat region R1) looking down near the shovel 60 from above and an image (image in the processing target image plane R3) looking horizontally from the shovel 60 A virtual viewpoint image for periphery monitoring to be simultaneously displayed is generated. The image displayed at the center of the periphery monitoring virtual viewpoint image is a CG image 60 CG of the shovel 60.

  In FIG. 12, the input image of the right side camera 2R and the input image of the rear camera 2B respectively capture a person in the overlapping portion of the imaging space of the right side camera 2R and the imaging space of the rear camera 2B (right side A region R10 surrounded by a two-dot chain line in the input image of the two-way camera 2R and a region R11 surrounded by a two-dot chain line in the input image of the rear camera 2B.

  However, assuming that the coordinates on the output image plane correspond to the coordinates on the input image plane related to the camera with the smallest incident angle, the output image will cause the person in the overlapping part to disappear (a point in the output image See the region R12 enclosed by a dashed line).

  Therefore, in the output image portion corresponding to the overlapping portion, in the output image portion corresponding to the overlapping portion, the area to which the coordinates on the input image plane of the rear camera 2B are associated is associated with the coordinates on the input image plane of the right side camera 2R. The area is mixed, and the object in the overlapping part is prevented from disappearing.

  FIG. 13 is a diagram for explaining stripe pattern processing which is an example of the image loss prevention processing for preventing the loss of an object in the overlapping portion of the imaging space of each of two cameras.

  F13A is a diagram showing an output image portion corresponding to an overlapping portion of the imaging space of the right side camera 2R and the imaging space of the rear camera 2B, and corresponds to a rectangular area R13 shown by a dotted line in FIG.

  Also, in F13A, the area PR1 filled with gray is an image area where the input image portion of the rear camera 2B is arranged, and the input image of the rear camera 2B is displayed at each coordinate on the output image plane corresponding to the area PR1. Coordinates on the plane are associated.

  On the other hand, the area PR2 filled with white is an image area where the input image portion of the right side camera 2R is arranged, and each coordinate on the output image plane corresponding to the area PR2 is the input image plane of the right side camera 2R The upper coordinates are associated.

  In this embodiment, the area PR1 and the area PR2 are arranged to form a stripe pattern (stripe pattern process), and the boundary between the area PR1 and the area PR2 alternately arranged in a stripe is the turning of the shovel 60. It is defined by concentric circles on a horizontal plane centered on the center.

  F13B is a top view showing the situation of the space area at the diagonally right back of the shovel 60, and shows the current situation of the space area imaged by both the rear camera 2B and the right side camera 2R. Further, F13B indicates that a rod-like three-dimensional object OB is present obliquely rearward to the right of the shovel 60.

  F13C shows a part of an output image generated based on an input image obtained by actually imaging the space area indicated by F13B with the rear camera 2B and the right side camera 2R.

  Specifically, in the image OB1, the image of the solid object OB in the input image of the rear camera 2B is extended in the extension direction of the line connecting the rear camera 2B and the solid object OB by viewpoint conversion for generating a road surface image Represents what was That is, the image OB1 is a part of the image of the three-dimensional object OB displayed when the road surface image in the output image portion is generated using the input image of the rear camera 2B.

  In the image OB2, the image of the solid object OB in the input image of the right side camera 2R is expanded in the extension direction of the line connecting the right side camera 2R and the solid object OB by viewpoint conversion for generating a road surface image. Represent the That is, the image OB2 is a part of the image of the three-dimensional object OB displayed when the road surface image in the output image portion is generated using the input image of the right side camera 2R.

  As described above, in the overlapping portion, the image generation device 100 combines the area PR1 with which the coordinates on the input image plane of the rear camera 2B are associated and the area PR2 with which the coordinates on the input image plane of the right side camera 2R are associated. Mix As a result, the image generation apparatus 100 displays both the two images OB1 and OB2 of one solid object OB on the output image, and prevents the solid object OB from disappearing from the output image.

  14 is a contrast diagram showing the difference between the output image of FIG. 12 and the output image obtained by applying the image loss prevention process (stripe pattern process) to the output image of FIG. The output image of FIG. 12 is shown, and the lower part of FIG. 14 shows an output image after the image loss prevention process (stripe pattern process) is applied. While a person disappears in a region R12 surrounded by an alternate long and short dash line in the upper diagram of FIG. 14, a human is displayed without disappearing in a region R14 enclosed by an alternate long and short dash line in the lower diagram of FIG.

  The image generation apparatus 100 may prevent the disappearance of the object in the overlapping portion by applying mesh pattern processing, averaging processing, or the like instead of the stripe pattern processing. Specifically, the image generating apparatus 100 outputs an average value of the values (for example, luminance values) of corresponding pixels in the input images of the two cameras by averaging, and corresponds to the overlapping portion. Adopted as the pixel value of the image part. Alternatively, in the output image portion corresponding to the overlapping portion, the image generation apparatus 100 performs mesh pattern processing on a region to which values of pixels in the input image of one camera are associated and values of pixels in the input image of the other camera. Are arranged so as to form a mesh pattern (mesh pattern). Thereby, the image generation device 100 prevents the loss of the object in the overlapping portion.

  Next, with reference to FIGS. 15 to 17, the image generation unit 11 determines an input image to be used to generate an output image from a plurality of input images based on the determination result of the person existence determination unit 12 (hereinafter referred to as The “first input image determination process” will be described. FIG. 15 is a view showing input images of the three cameras 2 mounted on the shovel 60 and an output image generated using the input images, and corresponds to FIG. FIG. 16 is a correspondence table showing the correspondence between the determination result of the person presence / absence determination means 12 and the input image used to generate the output image. FIG. 17 is a display example of an output image generated based on the input image determined in the first input image determination process.

  As shown in FIG. 15, the image generation apparatus 100 projects the input image of each of the three cameras 2 onto the plane region R1 and the curved region R2 of the space model MD, and reprojects it on the processing object image plane R3. Generate an image to be processed. Further, the image generation apparatus 100 generates an output image by performing image conversion processing (for example, scale conversion, affine conversion, distortion conversion, viewpoint conversion processing, and the like) on the generated processing target image. As a result, the image generation device 100 generates a periphery monitoring virtual viewpoint image that simultaneously displays an image of the vicinity of the shovel 60 as viewed from above and an image of the periphery of the shovel 60 viewed in the horizontal direction.

  Further, in FIG. 15, the input images of the left side camera 2L, the rear side camera 2B, and the right side camera 2R show a state in which three workers are present. The output image also shows that nine workers are present around the shovel 60.

  Here, the correspondence between the determination result of the human presence / absence determination means 12 and the input image used for generating the output image will be described with reference to the correspondence table of FIG. A circle indicates that it is determined by the human presence / absence determination unit 12 that a person is present, and a cross indicates that it is determined that a person is not present.

  In pattern 1, when it is determined that a person is present only in the left-side monitoring space ZL, and it is determined that a person does not exist in the rear monitoring space ZB and the right-side monitoring space ZR, using an input image of the left-side camera 2L Indicates that an output image is to be generated. This pattern 1 is employed, for example, when there are workers (three people in this example) only on the left side of the shovel 60. The image generation means 11 outputs the input image of the left side camera 2L which captured three workers as it is as an output image, as shown by the output image D1 of FIG. Hereinafter, an output image using the input image as it is will be referred to as a "through image".

  Pattern 2 is output using the input image of the rear camera 2B when it is determined that a person is present only in the rear monitoring space ZB and it is determined that a person is not present in the left side monitoring space ZL and the right side monitoring space ZR. Indicates that an image is to be generated. This pattern 2 is adopted, for example, when there are workers (three people in this example) only at the rear of the shovel 60. The image generation means 11 outputs the input image of the back camera 2B which caught three workers as an output image as it is, as shown by the output image D2 of FIG.

  In pattern 3, when it is determined that a person is present only in the right-side surveillance space ZR, and it is determined that a person does not exist in the left-side surveillance space ZL and the rear surveillance space ZB, using an input image of the right-side camera 2R Indicates that an output image is to be generated. This pattern 3 is employed, for example, when there are workers (three people in this example) only on the right side of the shovel 60. The image generation means 11 outputs the input image of the right side camera 2R which caught three workers as it is as an output image, as shown by the output image D3 of FIG.

  The pattern 4 is an output image using all three input images when it is determined that a person is present in the left side surveillance space ZL and the rear surveillance space ZB and it is determined that a person is not present in the right side surveillance space ZR. Represents that is generated. This pattern 4 is employed, for example, when there are workers (in this example, three in total, six in total) on the left side and the rear of the shovel 60. The image generation means 11 outputs, as an output image, a virtual viewpoint image for periphery monitoring which captures six workers generated based on three input images as shown by an output image D4 in FIG.

  In pattern 5, when it is determined that a person is present in rear monitoring space ZB and right side monitoring space ZR, and it is determined that a person is not present in left direction monitoring space ZL, an output image is generated using all three input images. Represents that is generated. This pattern 5 is employed, for example, when there are workers (in this example, three in total, six in total) behind and to the right of the shovel 60. The image generation unit 11 outputs, as an output image, a peripheral viewpoint virtual viewpoint image capturing six workers generated based on three input images, as shown by an output image D5 in FIG.

  In pattern 6, when it is determined that a person is present in left side monitoring space ZL and right side monitoring space ZR, and it is determined that a person is not present in rear monitoring space ZB, an output image is generated using all three input images. Represents that is generated. This pattern 6 is employed, for example, when there are workers (in this example, three in total, six in total) on the left and right sides of the shovel 60. The image generation unit 11 outputs, as an output image, a peripheral viewpoint virtual viewpoint image capturing six workers generated based on three input images, as shown by an output image D6 in FIG.

  In pattern 7, when it is determined that a person is present in all of left side monitoring space ZL, rear monitoring space ZB, and right side monitoring space ZR, an output image is generated using all three input images. Represents This pattern 7 is adopted, for example, when there are workers (in this example, a total of nine people in this example) on the left side, the rear side, and the right side of the shovel 60. As shown by the output image of FIG. 15, the image generation means 11 outputs, as an output image, a peripheral viewpoint virtual viewpoint image capturing nine workers generated based on three input images.

  In pattern 8, an output image is generated using all three input images when it is determined that no human exists in all of left side monitoring space ZL, rear monitoring space ZB, and right side monitoring space ZR. Represents that. This pattern 8 is employed, for example, when there is no worker on the left side, the rear side, and the right side of the shovel 60. The image generation unit 11 outputs, as an output image, a peripheral viewpoint virtual viewpoint image that is generated based on three input images and that shows a state in which no worker is present, as shown by an output image D7 in FIG.

  As described above, when it is determined that a person is present in only one of the three monitoring spaces, the image generation unit 11 outputs the through image of the corresponding camera as an output image. This is to display a person present in the monitoring space as large as possible on the display unit 5. On the other hand, when it is determined that a person is present in two or more of the three monitoring spaces, the image generation unit 11 outputs a peripheral viewpoint virtual viewpoint image without outputting a through image. This is because all the people existing around the shovel 60 can not be displayed on the display unit 5 with only one through image, and the peripheral monitoring virtual viewpoint image exists around the shovel 60 if it is output. This is because all persons can be displayed on the display unit 5. In addition, when it is determined that no person is present in any of the three monitoring spaces, the image generation unit 11 outputs the peripheral viewpoint virtual viewpoint image without outputting the through image. This is because there is no person to be magnified, and it is possible to widely monitor other objects other than the person present around the shovel 60.

  In addition, when displaying a through image, the image generation unit 11 may display a text message that indicates which input image has been used.

  Next, with reference to FIGS. 18 to 20, another example of processing for determining an input image to be used for generating an output image from a plurality of input images based on the determination result of the person existence / non-existence determination means 12 (hereinafter 2) will be described. FIG. 18 is a top view of the shovel 60 showing another arrangement example of the human detection sensor 6, and corresponds to FIG. FIG. 19 is a correspondence table showing the correspondence between the determination result of the human presence / absence determination means 12 and the input image used to generate the output image, and corresponds to FIG. FIG. 20 is a display example of an output image generated based on the input image determined in the second input image determination process.

  In the embodiment shown in FIG. 18, the shovel 60 has two cameras 2 (right side camera 2R and rear camera 2B) and three people detection sensors 6 (right side people detection sensor 6R, right back people detection sensor 6BR, And a rear person detection sensor 6B). Regions CR and CB indicated by alternate long and short dash lines in FIG. 18 indicate imaging spaces of the right side camera 2R and the rear camera 2B, respectively. In addition, regions ZR, ZBR, and ZB indicated by dotted lines in FIG. 18 indicate monitoring spaces of the right side person detection sensor 6R, the right rear person detection sensor 6BR, and the rear person detection sensor 6B, respectively. Further, a region X indicated by hatching in FIG. 18 indicates an overlapping portion of the imaging space CR and the imaging space CB (hereinafter referred to as “overlapping imaging space X”).

  The arrangement example of FIG. 18 is an arrangement example of FIG. 11 in that the monitoring space ZR and the monitoring space ZB do not have an overlapping portion, and the right rear human detection sensor 6BR having a monitoring space ZBR including the overlapping imaging space X. It is different from.

  By this arrangement of the human detection sensor 6, the image generation device 100 can determine whether a human exists in the overlapping imaging space X. Then, the image generation apparatus 100 can switch the content of the output image more appropriately by using the determination result to determine the input image used to generate the output image.

  Here, the correspondence between the determination result of the human presence / absence determination means 12 and the input image used to generate the output image will be described with reference to the correspondence table in FIG.

  The pattern A is output using input images of the rear camera 2B and the right side camera 2R when it is determined that there are no people in the rear monitoring space ZB, the right rear monitoring space ZBR, and the right side monitoring space ZR. Indicates that an image is to be generated. This pattern A is adopted, for example, when there is no worker around the shovel 60. The image generation unit 11 generates and outputs, based on the two input images, a periphery monitoring virtual viewpoint image that shows a state where no worker is present in the surroundings, as shown by the output image D7 in FIG.

  The pattern B is output using an input image of the rear camera 2B when it is determined that a person is present only in the rear surveillance space ZB, and it is determined that a person does not exist in the right rear surveillance space ZBR and the right side surveillance space ZR. Indicates that an image is to be generated. This pattern B is adopted, for example, when one worker P1 is present behind the shovel 60. The image generation means 11 outputs the input image of the rear camera 2B which caught the worker P1 as it is as an output image, as shown by the output image D10 of FIG.

  In the pattern C, it is determined that a person is present only in the right side surveillance space ZR, and it is determined that a person does not exist in the rear surveillance space ZB and the right rear surveillance space ZBR, using the input image of the right side camera 2R. Indicates that an output image is to be generated. This pattern C is adopted, for example, when one worker P2 is present on the right side of the shovel 60. The image generation means 11 outputs the input image of the right side camera 2R which captured the worker P2 as it is as an output image, as shown by the output image D11 of FIG.

  In the pattern D, it is determined that a person is present only in the right rear monitoring space ZBR, and it is determined that a person is not present in the rear monitoring space ZB and the right side monitoring space ZR, the input of the rear camera 2B and the right side camera 2R The image is used to indicate that an output image is generated. This pattern D is adopted, for example, when one worker P3 exists in the overlapping imaging space X on the right rear of the shovel 60. As shown by the output image D12 in FIG. 20, the image generation unit 11 outputs the input image of the rear camera 2B capturing the worker P3 as it is as the first output image (left side in the drawing) and captures the same worker P3. The input image of the right side camera 2R is output as it is as a second output image (right side in the drawing).

  The pattern E is an input image of the rear camera 2B and the right side camera 2R when it is determined that a person is present in the rear monitoring space ZB and the right rear monitoring space ZBR and it is determined that no person is present in the right side monitoring space ZR. Is used to indicate that an output image is generated. This pattern E is adopted, for example, when there is one worker P4 behind the shovel 60, and one worker P5 within the overlapping imaging space X right behind the shovel 60. . As shown by the output image D13 in FIG. 20, the image generation unit 11 outputs the input image of the rear camera 2B that captures the worker P4 and the worker P5 as it is as the first output image (left side in the drawing). The input image of the right side camera 2R which captured only P4 is output as it is as a second output image (right side in the drawing).

  The pattern F is an input image of the rear camera 2B and the right side camera 2R when it is determined that a person is present in the rear surveillance space ZB and the right side surveillance space ZR and it is determined that no person exists in the right rear surveillance space ZBR. Is used to indicate that an output image is generated. This pattern F is adopted, for example, when there is one worker P6 behind the shovel 60 and another worker P7 to the right of the shovel 60. As shown by the output image D14 in FIG. 20, the image generation unit 11 outputs the input image of the rear camera 2B capturing the worker P6 as it is as the first output image (left side in the drawing) and captures the worker P7. The input image of the right side camera 2R is output as it is as a second output image (right side in the drawing).

  The pattern G is an input image of the rear camera 2B and the right side camera 2R when it is determined that a person is present in the right rear monitoring space ZBR and the right side monitoring space ZR and it is determined that no person is present in the rear monitoring space ZB. Is used to indicate that an output image is generated. In this pattern G, for example, one worker P8 exists in the right and left overlapping imaging space X of the shovel 60, and another worker P9 exists on the right side of the shovel 60. Will be adopted. As shown by the output image D15 in FIG. 20, the image generation unit 11 outputs the input image of the rear camera 2B capturing the worker P8 as it is as the first output image (left side in the drawing), and the worker P8 and the worker The input image of the right side camera 2R which captured P9 is output as it is as a second output image (right side in the figure).

  The pattern H is an output image using input images of the rear camera 2B and the right side camera 2R when it is determined that a person is present in all of the rear monitoring space ZB, the right rear monitoring space ZBR, and the right side monitoring space ZR. Represents that is generated. In this pattern H, for example, one worker P10 exists in the right rear overlapping imaging space X of the shovel 60, another worker P11 exists behind the shovel 60, and the shovel 60 Is adopted when there is one more worker P12 on the right side of. As shown by the output image D16 in FIG. 20, the image generation unit 11 outputs the input image of the rear camera 2B capturing the worker P10 and the worker P11 as it is as the first output image (left side in the drawing). The input image of the right side camera 2R which captured P10 and the worker P12 is output as it is as a second output image (right side in the figure).

  In the second input image determination process, the image generation unit 11 outputs a through image of the corresponding camera as an output image, when a person appears in only the input image of one camera. This is to display a person present in the monitoring space as large as possible on the display unit 5. On the other hand, when a person appears in any of the input images of the two cameras, the image generation unit 11 simultaneously and individually outputs through images of the two cameras. This is because all the people existing around the shovel 60 can not be displayed on the display unit 5 with only one through image, and the output of a through image is possible when the peripheral viewpoint monitoring virtual viewpoint image is output. It is for making it hard to visually recognize a worker compared with. In addition, when it is determined that no person is present in any of the three monitoring spaces, the image generation unit 11 outputs the peripheral viewpoint virtual viewpoint image without outputting the through image. This is because there is no person to be magnified, and it is possible to widely monitor other objects other than the person present around the shovel 60.

  In addition, when displaying a through image, the image generation unit 11 may display a text message that indicates which input image has been used, as in the first input image determination process.

  Next, another display example of the output image generated based on the input image determined in the first input image determination process or the second input image determination process will be described with reference to FIG.

  As shown in FIG. 21, the image generation unit 11 may simultaneously display the periphery monitoring virtual viewpoint image and the through image. For example, when an operator is present behind the shovel 60, the image generation unit 11 sets the virtual viewpoint image for periphery monitoring as the first output image as shown by the output image D20 of FIG. 21, and the through image of the rear camera 2B. May be displayed as a second output image. In this case, the through image is displayed below the periphery monitoring virtual viewpoint image. This is for the operator of the shovel 60 to intuitively understand that the worker is behind the shovel 60. In addition, when an operator is present on the left side of the shovel 60, the image generation unit 11 sets the virtual viewpoint image for periphery monitoring as the first output image as shown by the output image D21 in FIG. The through image may be displayed as a second output image. In this case, the through image is displayed on the left side of the periphery monitoring virtual viewpoint image. Similarly, when an operator is present on the right side of the shovel 60, the image generation unit 11 sets the virtual viewpoint image for periphery monitoring as the first output image, as shown by the output image D22 in FIG. The through image may be displayed as a second output image. In this case, the through image is displayed on the right side of the periphery monitoring virtual viewpoint image.

  Alternatively, the image generation unit 11 may simultaneously display the periphery monitoring virtual viewpoint image and the plurality of through images. For example, when an operator is present behind and to the right of the shovel 60, the image generation unit 11 sets the virtual viewpoint image for periphery monitoring as the first output image as shown by the output image D23 in FIG. The through image may be displayed as a second output image, and the through image of the right side camera 2R may be displayed as a third output image. In this case, the through image of the rear camera 2B is displayed on the lower side of the periphery monitoring virtual viewpoint image, and the through image of the right side camera 2R is displayed on the right of the periphery monitoring virtual viewpoint image.

  In addition, the image generation means 11 may display the information showing the content of an output image, when displaying a several output image simultaneously. For example, the image generation unit 11 may display text such as “rear camera through image” on or around the through image of the rear camera 2B.

  In addition, when displaying a plurality of output images simultaneously, the image generation unit 11 may pop-up and display one or more through images on the periphery monitoring virtual viewpoint image.

  With the above configuration, the image generation apparatus 100 switches the content of the output image based on the determination result of the person presence / absence determination unit 12. Specifically, for example, the image generation apparatus 100 reduces the content of the individual input image and reduces and changes and displays the peripheral viewpoint virtual viewpoint image and the through image on which the content of the individual input image is displayed as it is. Switch. As described above, the image generating apparatus 100 displays the through image when the worker is detected around the shovel 60, so that the operator of the shovel 60 can display as compared to the case where only the peripheral viewpoint monitoring virtual viewpoint image is displayed. It is possible to prevent the worker from being overlooked more reliably. This is because the operator is displayed large and easily understood.

  Further, in the above-described embodiment, when generating an output image based on an input image of one camera, the image generation unit 11 sets a through image of the camera as an output image. However, the present invention is not limited to this configuration. For example, the image generation unit 11 may generate a rear monitoring virtual viewpoint image as an output image based on the input image of the rear camera 2B.

  Further, in the above-described embodiment, the image generation device 100 associates the monitoring space of one human detection sensor with the imaging space of one camera, but monitors the monitoring space of one human detection sensor in the imaging spaces of a plurality of cameras. It may be made to correspond, and the monitoring space of a plurality of person detection sensors may be made to correspond to the imaging space of one camera.

  Moreover, in the above-mentioned embodiment, although the image generation apparatus 100 overlaps a part of monitoring space of two adjacent human detection sensors, the monitoring space may not overlap. In addition, in the image generation device 100, the monitoring space of one human detection sensor may be completely included in the monitoring space of another human detection sensor.

  Further, in the above-described embodiment, the image generation apparatus 100 switches the content of the output image at the moment when the determination result of the person presence / absence determination means 12 changes. However, the present invention is not limited to this configuration. For example, the image generation apparatus 100 may set a predetermined delay time before the content of the output image is switched after the determination result of the person existence determination unit 12 changes. This is to suppress frequent switching of the content of the output image.

  Next, with reference to FIG. 22 and FIG. 23, about the processing (hereinafter referred to as “alarm control processing”) in which the alarm control unit 13 controls the alarm output unit 7 based on the determination result of the person presence / absence determination unit 12. explain. FIG. 22 is a flow chart showing the flow of the alarm control process, and FIG. 23 is an example of the transition of the output image displayed during the alarm control process. Further, the alarm control means 13 repeatedly executes this alarm control process at a predetermined cycle. Moreover, the image generation apparatus 100 is mounted in the shovel 60 shown in FIG.

  First, the human presence / absence determination means 12 determines whether or not a person is present around the shovel 60 (step S11). At this time, the image generation unit 11 generates and displays, for example, a peripheral viewpoint virtual viewpoint image as shown in the output image D31 of FIG.

  When it is determined that a person is present around the shovel 60 (YES in step S11), the human presence / absence determination means 12 determines which monitoring space of the left side monitoring space ZL, the rear monitoring space ZB, and the right side monitoring space ZR It is determined whether there is a person in (step S12).

  Then, the human presence / absence determination means 12 outputs a left direction detection signal to the alarm control means 13 when it is determined that a person exists only in the left side monitoring space ZL (left side direction of step S12). Then, the alarm control means 13 receiving the left side detection signal outputs an alarm start signal to the left side alarm output unit 7L, and causes the left side alarm output unit 7L to output an alarm (step S13). Further, the image generation unit 11 displays, for example, a through image of the left side camera 2L as shown in the output image D32 of FIG. 23 as an output image. Alternatively, for example, as illustrated in the output image D33 of FIG. 23, the image generation unit 11 uses the virtual viewpoint image for surrounding monitoring as the first output image (image on the right side in the drawing) and the through image of the left side camera 2L It may be displayed as a two-output image (image on the left side in the figure).

  In addition, the human presence / absence determination means 12 outputs a rear detection signal to the alarm control means 13 when it is determined that a person exists only in the rear monitoring space ZB (rear of step S12). Then, the alarm control unit 13 having received the rear detection signal outputs an alarm start signal to the rear alarm output unit 7B, and causes the rear alarm output unit 7B to output an alarm (step S14). Further, the image generation unit 11 displays, for example, a through image of the rear camera 2B as an output image. Alternatively, the image generation unit 11 may display the periphery monitoring virtual viewpoint image as a first output image and display the through image of the rear camera 2B as a second output image.

  Further, the human presence / absence determination means 12 outputs a right side detection signal to the alarm control means 13 when it is determined that a person is present only in the right side monitoring space ZR (right side of step S12). Then, the alarm control means 13 receiving the right side detection signal outputs an alarm start signal to the right side alarm output unit 7R, and causes the right side alarm output unit 7R to output an alarm (step S15). Further, the image generation unit 11 displays, for example, a through image of the right side camera 2R as an output image. Alternatively, the image generation unit 11 may display the periphery monitoring virtual viewpoint image as a first output image and display the through image of the right side camera 2R as a second output image.

  On the other hand, when it is determined that a person does not exist around the shovel 60 (NO in step S11), the person existence / non-existence determination means 12 does not output a detection signal to the alarm control means 13, and performs the current alarm control process. finish.

  The alarm control means 13 determines that a person exists in two or more monitoring spaces among the left side monitoring space ZL, the rear monitoring space ZB, and the right side monitoring space ZR by the human existence / non-existence determination means 12. The second alarm output unit 7L outputs an alarm from two or more corresponding alarm output units of the left alarm output unit 7L, the rear alarm output unit 7B, and the right alarm output unit 7R. In addition, the image generation unit 11 determines that a person is present in two or more monitoring spaces among the left side monitoring space ZL, the rear monitoring space ZB, and the right side monitoring space ZR by the human existence / nonexistence determining means 12. Displays the output image in the manner as described in the above embodiments. Specifically, the image generation unit 11 may display only the peripheral monitoring virtual viewpoint image as shown by the output image D34 in FIG. The image generation unit 11 may simultaneously display two or more through images as shown by the output image D35 in FIG. Further, the image generation unit 11 may simultaneously display the peripheral monitoring virtual viewpoint image and two or more through images as shown by the output image D36 in FIG.

  Further, in the configuration in which the image generation apparatus 100 outputs an alarm sound from the alarm output unit 7, the contents of the alarm sound of each of the left side alarm output unit 7L, the rear alarm output unit 7B, and the right side alarm output unit 7R (high and low , Output intervals, etc.) may be made different. Similarly, in the configuration in which the image generating apparatus 100 outputs light from the alarm output unit 7, the light contents (colors, etc.) of the left side alarm output unit 7L, the rear alarm output unit 7B, and the right side alarm output unit 7R. The light emission intervals etc. may be made different. This is to allow the operator of the shovel 60 to more intuitively recognize the rough position of the person present around the shovel 60 due to the difference in the content of the alarm.

  With the above configuration, the image generating apparatus 100 enables the operator of the shovel 60 to intuitively grasp the rough position of the worker present around the shovel 60. For example, even if the image generating apparatus 100 does not detect the exact position of the worker, it only determines whether the worker is present on the left side, the rear side, or the right side of the shovel 60, the determined direction. To the operator of the shovel 60 intuitively.

  In the above embodiment, the alarm output unit 7 is configured of three independent buzzers, but the sound may be localized using a surround system including a plurality of speakers.

  Although the preferred embodiments of the present invention have been described above in detail, the present invention is not limited to the above-described embodiments, and various modifications and substitutions may be made to the above-described embodiments without departing from the scope of the present invention. It can be added.

  For example, in the above-described embodiment, the image generation apparatus 100 adopts a cylindrical space model MD as a space model, but may adopt a space model having another columnar shape such as a polygonal column, etc. A space model composed of two sides may be adopted, or a space model having only sides may be adopted.

  In addition, the image generation apparatus 100 is mounted on a self-propelled shovel together with a camera and a human detection sensor while having movable members such as a bucket, an arm, a boom, and a turning mechanism. Then, the image generation device 100 configures an operation support system that supports the movement of the shovel and the operation of the movable members while presenting the surrounding image to the operator. However, the image generating apparatus 100 may be mounted on a working machine having no turning mechanism such as a forklift, an asphalt finisher, etc. together with the camera and the human detection sensor. Alternatively, the image generating apparatus 100 may be mounted together with the camera and the human detection sensor on a working machine having movable members but not self-propelled, such as industrial machines or fixed cranes. And the image generation apparatus 100 may comprise the operation assistance system which assists operation of those working machines.

  In addition, although the periphery monitoring device has been described as an example of the image generation device 100 including the camera 2 and the display unit 5, the periphery monitoring device may be configured as a device not including an image display function by the camera 2, the display unit 5 or the like. For example, as illustrated in FIG. 24, the periphery monitoring device 100A as a device that executes alarm control processing includes the camera 2, the input unit 3, the storage unit 4, the display unit 5, the coordinate associating unit 10, and the image generating unit 11. May be omitted.

  DESCRIPTION OF SYMBOLS 1 ... Control part 2 ... Camera 2L ... Left-hand side camera 2 R .. Right-hand side camera 2 B .. Rear view camera 3 ... Input part 4 ... Storage part 5 ... Display part 6 ..・ Human detection sensor 6L ・ ・ ・ Left side detection sensor 6R ・ ・ ・ Right side detection sensor 6B ・ ・ ・ Rear person detection sensor 7 ・ ・ ・ Alarm output part 7L ・ ・ ・ Left side alarm output part 7B ・ ・ ・Rear alarm output unit 7R Right side alarm output unit 10 Coordinate correspondence unit 11 Image generation unit 12 Person existence determination unit 13 Alarm control unit 40 Input image Space model correspondence map 41 ... space model / processing object image correspondence map 42 ... processing object image / output image correspondence map 60 ... shovel 61 ... lower traveling body 62 ... turning mechanism 63 ... Upper swing body 64 Cab 100 ... image generating apparatus 100A ... surroundings monitoring apparatus

Claims (6)

The lower traveling body,
An upper revolving unit rotatably mounted on the lower traveling unit;
A boom attached to the upper swing body and included in an attachment;
An arm attached to the boom and included in the attachment;
Three imaging devices mounted at three locations on the left side, the right side and the rear side of the upper structure so as to image the three directions of the left side, the right side and the rear side of the upper structure.
A driver's cab mounted on the upper revolving superstructure;
And a display unit installed in the driver's cab.
In the display section,
A first image corresponding to at least one of the three directions;
The upper swing body, which simultaneously displays at least the left, right, and rear regions of the upper swing body, generated by combining the three-direction images, regardless of the direction of the lower run body. With the second image seen from the sky,
Display at the same time,
Excavator. Whether or not an object has entered is determined by at least one of the imaging device and a sensor provided separately from the imaging device, and the first image corresponding to the direction in which the object has entered is next to the second image. Display
The shovel according to claim 1. Switching the image used for the first image based on the determination result of the presence or absence of the entry of the object;
The shovel according to claim 2. When the first image is an image corresponding to the right of the upper swing body, the first image is displayed on the display unit so as to be located on the right of the second image.
The shovel according to any one of claims 1 to 3. When the first image is an image corresponding to the left of the upper swing body, the first image is displayed on the display unit so as to be located on the left side of the second image.
The shovel according to any one of claims 1 to 3. When the first image is an image corresponding to the rear of the upper swing body, the first image is displayed on the display unit so as to be located below the second image.
The shovel according to any one of claims 1 to 3.