JP5910450B2 - Vehicle navigation system - Google Patents

Description

  The present invention relates to a vehicle navigation system that provides an image for navigation to a road vehicle.

  Patent Document 1 discloses a navigation system that collects moving images at a branch point that is likely to be mistaken from a plurality of vehicles and that provides the vehicle that travels at the branch point that is likely to be wrong.

JP 2008-185394 A

  Many moving objects such as other vehicles and pedestrians on the road are shown in the moving image reproduced by the conventional technology. These moving objects do not exist at the same position when the moving image is reproduced. For this reason, it may be difficult to assist the driver's understanding only by playing back a moving image shot by another vehicle. From such a viewpoint, further improvement is demanded for the vehicle navigation system.

  One of the objects of the disclosed invention is to provide a vehicle navigation system that can provide an image that is easy for the driver to understand.

  Another object of the disclosed invention is to provide a vehicle navigation system that can provide an image in which an influence caused by another moving body is suppressed.

  One of the disclosed inventions employs the following technical means to achieve the above object. It should be noted that the reference numerals in parentheses described in the claims and in this section indicate a corresponding relationship with specific means described in the embodiments described later as one aspect, and are technical aspects of the disclosed invention. It does not limit the range.

One of the disclosed inventions is that an acquisition unit (141-142) that acquires original images (RV1, RV2) taken at a predetermined point, and other vehicles and / or pedestrians or the like from the original image A creation unit (144) that creates a clean image (CV) from which at least a portion has been deleted as an image for supporting driving at a point , and the acquisition unit stores a plurality of original images (142) The creation unit (144) creates a clean image based on a plurality of original images, and further confirms that the spot where the original image was taken is appropriate as a spot where the clean image should be created. In addition, a confirmation unit (143) that allows creation of a clean image by the creation unit is provided, and the confirmation unit is a point where a clean image should be created when the number of original images exceeding a predetermined threshold is accumulated. And said that you make sure that it is reasonable.
One of the disclosed inventions is that an acquisition unit (141-142) that acquires original images (RV1, RV2) taken at a predetermined point, and other vehicles and / or pedestrians or the like from the original image A creation unit (144) that creates a clean image (CV) from which at least a portion has been deleted as an image for supporting driving at a point, and the acquisition unit stores a plurality of original images (142) The creation unit (144) creates a clean image based on a plurality of original images, and the creation unit (144) includes a portion in another original image within a range in which the moving body in one original image is shown. A clean image from which the moving object has been erased is created by combining the images, the acquisition unit acquires information indicating the shooting conditions of each original image, and the generation unit generates a plurality of original images based on the shooting conditions. Together Characterized in that it.

  According to this configuration, an image for supporting traveling at the point is created from the original image taken at the predetermined point. Therefore, an image for driving support is provided based on the actual scenery at the point. In addition, a clean image is created by deleting at least part of other vehicles and / or moving objects such as pedestrians from the original image. Therefore, the difficulty of understanding due to the moving body is reduced. As a result, it is possible to provide an image that is less affected by other moving objects and is easy for the driver to understand.

1 is a block diagram showing a system according to a first embodiment of the present invention. It is a block diagram which shows the center apparatus of 1st Embodiment. It is a block diagram which shows the vehicle apparatus of 1st Embodiment. It is a flowchart which shows the control processing of 1st Embodiment. It is a flowchart which shows the control processing of 1st Embodiment. It is a flowchart which shows the control processing of 1st Embodiment. It is a flowchart which shows the control processing of 1st Embodiment. It is a top view which shows an example of the original image of 1st Embodiment. It is a top view which shows an example of the original image of 1st Embodiment. It is a top view which shows an example of the clean image of 1st Embodiment. It is a top view which shows an example of the guidance image of 1st Embodiment.

  Hereinafter, a plurality of modes for carrying out the disclosed invention will be described with reference to the drawings. In each embodiment, parts corresponding to the matters described in the preceding embodiment may be denoted by the same reference numerals, and redundant description may be omitted. When only a part of the configuration is described in each mode, the other modes described above can be applied to the other parts of the configuration. Further, in the following embodiments, the correspondence corresponding to the matters corresponding to the matters described in the preceding embodiments is indicated by adding reference numerals that differ only by one hundred or more, and redundant description may be omitted. . Not only combinations of parts that clearly show that combinations are possible in each embodiment, but also combinations of the embodiments even if they are not explicitly stated unless there is a problem with the combination. Is also possible.

(First embodiment)
As illustrated in FIG. 1, a first embodiment disclosing the invention is a vehicle navigation system 1. The vehicle navigation system 1 is constructed by a distribution center 2 and a plurality of vehicles 3. The distribution center 2 is provided with a center device (CNTRD) 3. The vehicle 4 is provided with a vehicle device (ONVHD) 5. A communication system 6 for data communication is provided between the center device 3 and the vehicle device 5. The center device 3 and the plurality of vehicle devices 5 are connected via a communication system 6 so that data communication is possible. The communication system 6 can include a network such as a wireless telephone line or the Internet. The center device 3 and the vehicle device 5 constitute a vehicle navigation system 1.

  The center device 3 distributes an image for guidance to a plurality of vehicle devices 5. The distributed image is a still image or a moving image. The plurality of vehicle devices 5 receive the distributed image. Each vehicle device 5 can be provided by a navigation device mounted on the vehicle 4. The navigation device provides an image to the driver by displaying the distributed image, and assists the driver in driving. The plurality of vehicle devices 5 transmit images taken by the vehicle 4 on which they are mounted to the center device 3. The center device 3 creates an image for distribution by collecting and processing images transmitted from the plurality of vehicle devices 5. The vehicle navigation system 1 processes images collected from the plurality of vehicle devices 5 and distributes the processed images.

  As shown in FIG. 2, the center device 3 includes a center processing device (CTCPU) 3a and a memory device (MMR) 3b. The memory device 3b is a storage device that stores data. The center processing device 3a and the memory device 3b constitute a microcomputer. The center device 3 includes a communication device (COMM) 3 c for providing a connection with the communication system 6.

  As illustrated in FIG. 3, the vehicle device 5 includes a vehicle processing device (VHCPU) 5 a and a memory device (MMR) 5 b. The memory device 5b is a storage device that stores data. The vehicle processing device 5a and the memory device 5b constitute a microcomputer. The vehicle device 5 includes a communication device (COMM) 5 c for providing a connection with the communication system 6. The vehicle device 5 includes a camera (VHCAM) 5 d for taking an image around the vehicle 4. The camera 5d captures an image in front of the vehicle. The camera 5d can capture a still image or a moving image. The camera 5d supplies an original image by photographing a landscape in front of the vehicle 4. The vehicle device 5 provides a vehicle image capturing device. The vehicle device 5 includes a display (DSP) 5e.

  The vehicle device 5 includes a plurality of detectors 5f. The plurality of detectors 5f include sensors necessary as a navigation device. For example, the plurality of detectors 5 f can include a satellite positioning device for detecting the current position of the vehicle 4. The plurality of detectors 5 f include sensors for detecting the behavior of the vehicle 4. For example, the plurality of detectors 5f can include a speed sensor that detects the traveling speed of the vehicle 4 and a brake sensor that detects an operation of the brake device. The plurality of detectors 5f include sensors for detecting the behavior of the driver. For example, it may include an indoor camera that captures the driver's face, a microphone that detects the driver's voice, and a heart rate sensor that detects the driver's heartbeat.

  The vehicle device 5 is a navigation device mounted on the vehicle 4. The vehicle device 5 displays a map on the display 5e and displays the position of the vehicle 4 on the map. Further, the vehicle device 5 performs route guidance from the current location to the destination location in response to a request from the user of the vehicle 4. The vehicle device 5 includes means for setting a route from the current location to the destination location. The vehicle device 5 displays the set route on the map displayed on the display 5e, and provides support by display or voice so that the driver can drive the vehicle along the route.

  The center device 3 and the vehicle device 5 are electronic control units (ECU: Electronic Control Unit). The ECU has a processing device and a memory device as a storage medium for storing a program. The ECU is provided by a microcomputer provided with a computer-readable storage medium. The storage medium stores a computer-readable program non-temporarily. The storage medium can be provided by a semiconductor memory or a magnetic disk. By being executed by the ECU, the program causes the ECU to function as a device described in this specification, and causes the ECU to function so as to execute the control method described in this specification. The means provided by the ECU can also be called a functional block or module that achieves a predetermined function.

  FIG. 4 is a flowchart showing the real view processing 120 related to the real view navigation provided by the vehicle navigation system 1. In real view navigation, an image taken by a preceding vehicle is provided to the following vehicle. In addition, a clean image in which a moving body such as a pedestrian or the like is deleted from another vehicle, more desirably a pedestrian, is distributed to the subsequent vehicle. In order to create a clean image, original images are collected from a plurality of preceding vehicles. In real view navigation, a range including information useful for driving support is cut out from the scenery in front of the vehicle and displayed on the display 5e in the vehicle. The real view process 120 includes a center apparatus process 121 executed by the center apparatus 3 and a vehicle apparatus process 122 executed by the vehicle apparatus 5. Each step can be viewed as a processing means or processing unit that provides the function.

  In step 123, an image in front of the vehicle 4 is taken. Step 123 can include a selection process for selecting only an available image from a plurality of images captured by the camera 5d. For example, a selection process of discarding an image showing a wiper for removing raindrops attached to a windshield of a vehicle can be included.

  In step 124, a process of displaying a road sign that appears in front of the vehicle 4 on the display 5e is executed. In this process, a road sign is recognized from an image taken by the camera 5d. For example, a sign indicating the destination of an intersection ahead is recognized. Further, in this process, a partial image corresponding to the road sign is cut out from the original image, and the cut out image is enlarged and displayed on the display 5e. Thereby, recognition of a road sign by a driver can be supported.

  In step 131, it is determined that the vehicle 4 has traveled a difficult point. Difficult points are points on the road where it is difficult for the driver to understand the road structure or course. Difficult points can include difficult intersections, i.e., branch points. The difficult points may include branch points with a large number of branches or branch points with a special branch angle. Such an intersection is also called a difficult intersection. In addition, points that are difficult to find while traveling on the road, such as the entrance of a point that can be the destination of the vehicle 4 and the entrance of a parking lot, can also be included in the difficult points. The determination can be performed automatically. Further, a switch that is operated when the driver determines that it is a difficult point may be provided, and the difficult point may be determined in response to an input operation from the switch.

  When an abnormal event different from normal is detected, it can be determined that the vehicle 4 is at a difficult point. For example, in the case of an intersection, it can be determined whether or not it is an esoteric intersection by detecting that the driver has lost selection of the traveling direction. It can be determined by the behavior of the vehicle 4 or the driver that the driver has lost selection of the traveling direction. The behavior of the vehicle 4 can include a driving operation applied to the vehicle 4 by the driver, a state of the vehicle 4, an acceleration of the vehicle 4, and a deceleration.

  The difficult point may be determined based on the driving operation applied to the vehicle 4 by the driver or the behavior of the vehicle 4. An example of a vehicle behavior indicating a difficult point is a sudden deceleration within a candidate range indicating a candidate point such as an intersection, that is, a sudden braking operation. Another example is a slow state within the candidate range. Another example is a stop within the candidate range. Yet another example is meandering steering within the candidate range. Further, the difficult point may be determined by a combination of a plurality of vehicle behaviors such as deceleration and meandering steering.

  In order to determine the difficult point, the observed vehicle behavior is compared with a preset reference behavior. When the observed vehicle behavior deviates from the reference behavior, it can be determined that the point is a difficult point. The reference behavior can be set in advance based on behaviors that appear in many vehicles at difficult points. The reference behavior can also be called standard behavior. The reference behavior can be adjusted to suit a particular driver's personality. Such adjustment can be provided by manual adjustment or by a learning process described below.

  The difficult point may be determined based on the behavior of the driver. For example, it is possible to determine whether or not the driver has traveled a difficult point based on the behavior of the driver's body, voice, heartbeat, and the like. Specifically, facial expressions, eye movements, and head movements appearing on the face can be used. In addition, a voice that is output when the driver makes a mistake in the route can be used. More specifically, voices such as “Hatsu!”, “I got it!”, “I made a mistake!”, “That?” Can be used. Also, rapid changes in heart rate can be used.

  In order to determine the difficult point, the observed behavior of the driver is compared with a preset reference behavior. When the observed driver behavior deviates from the standard behavior, it can be determined that the point is a difficult point. The reference behavior can be set in advance based on behaviors exhibited by many drivers at difficult points. The reference behavior can also be called standard behavior. The reference behavior can be adjusted to suit a particular driver's personality. Such adjustment can be provided by manual adjustment or by a learning process described below.

  The difficult point may be determined based on the fact that the vehicle 4 has left the set route scheduled for route guidance. When the vehicle apparatus 5 performs route guidance, if the vehicle 4 leaves the route at the intersection, the intersection may be a difficult intersection.

  Step 131 provides a determination unit that determines difficult points on the road where it is difficult for the driver to understand the road structure or course. The determination unit determines a difficult point based on a comparison between the behavior of the vehicle and / or the behavior of the driver and the reference. Since the difficult point is automatically determined, an image for driving support can be automatically provided.

  In step 132, an image obtained by capturing a difficult point is extracted as an original image. This image is a raw image taken from the vehicle 4 by the camera 5d. The original image includes at least one still image taken by the camera 5d immediately before reaching the difficult point. In such an image, there is a high possibility that a difficult point appears so that the road structure can be seen. The original image may be a plurality of still images or moving images taken in a predetermined section before reaching the difficult point or a predetermined section including the difficult point. The original image can be selectively extracted from a plurality of still images or moving images taken during a predetermined travel distance or a predetermined travel period including a difficult point.

  In step 133, the determination that the point is a difficult point in step 131 is verified based on the original image. This verification is also a process of verifying whether or not the point shown in the original image is a difficult point. The determination of the difficult point in step 131 may include an error. In step 133, if the possibility of being a difficult point falls below a predetermined value, the original image is discarded, the subsequent processing is skipped, and the process returns to step 131. By this processing, the accuracy of the determination of the difficult point can be improved.

  Events that indicate difficult points such as vehicle behavior, driver behavior, and route deviation that may be observed at difficult points may occur due to other causes. There is a possibility that causes other than such difficult points are reflected in the original image taken at that point. Things that indicate causes other than esoteric points can be called error things. Verification of determination by the determination unit can be executed by determining whether or not an error thing is reflected in the original image.

  For this processing, error things that may appear in the original image due to causes other than the difficult points are registered and stored in the vehicle navigation system 1 in advance. Further, it is determined whether or not an error thing is captured by performing image processing on the original image. When an error thing is reflected in the original image, it can be determined that the determination in step 131 is an error, and error processing can be executed. If the determination in step 131 is an error, the original image obtained in step 132 can be discarded. If it is not possible to determine that the determination in step 131 is an error, subsequent processes including a providing process for providing an image for supporting driving at a difficult point based on the original image are executed. That is, when the verification unit verifies that the determination of the difficult point by the determination unit is correct, the subsequent providing process is executed. The verification unit discards the original image when it is not verified that the difficult point determination is correct. If it is not verified by the verification unit that the determination of the difficult point is correct, the subsequent providing process is not executed.

  When the difficult point is determined based on the vehicle behavior or the driver behavior, there is a possibility that the determination is incorrect. This is because the vehicle behavior or the driver behavior that may be observed at the difficult point may be brought about based on other causes. For example, there are many causes for sudden braking at an intersection, such as when it occurs due to an esoteric intersection, when it occurs due to sudden braking of a preceding vehicle, or when it occurs due to an approach with a pedestrian. An example of an error thing is a brake lamp that is lit in red and exceeds a predetermined area indicating a sudden braking of the vehicle ahead at a close distance. Another example of an error thing is the presence of a pedestrian at close range.

  In step 134, the original image is transmitted from the vehicle device 5 to the center device 3. Step 134 provides a transmission unit that transmits the original image from the vehicle device 5 to the center device 3. One or a plurality of original images are transmitted. In step 134, an image of one difficult point or an image of a plurality of difficult points can be transmitted.

  The installation position of the camera 5d in the vehicle 4 may be different for each of the plurality of vehicles 4. The model of the camera 5d may be different for each of the plurality of vehicles 4. Information relating to shooting conditions such as the model, position, and shooting range of the camera 5d is added to the image transmitted in step 134. The shooting conditions can include information such as the travel lane and date / time at the time of shooting. Such information is used for recognizing the difference between the original images for each of the plurality of vehicles 4 and correcting the image.

  The position of the vehicle 4 when the original image is taken may be different in each of the plurality of vehicles 4. Information indicating the shooting position is added to the image transmitted in step 134. For example, information indicating the distance between the shooting position of the original image and a reference point such as the center point of an intersection is added. Such information is used for recognizing the difference between the original images for each of the plurality of vehicles 4 and correcting the image.

  The process of step 134 is also a process of notifying the center device 3 of the existence and position of the difficult point. By this processing, the center apparatus 3 can know the existence of the difficult point. Further, the center device 3 can execute a process of providing support information for assisting the driver at the difficult point to the subsequent vehicle 4 in response to the notification of the existence of the difficult point.

  In step 135, a learning process for correcting the criterion for determining the difficult point in step 131 is executed. Step 135 provides a learning unit that corrects the reference based on the behavior of the vehicle observed at the difficult point and / or the behavior of the driver. In step 135, the case where the possibility of being a difficult point exceeds a predetermined level is detected, and the criterion indicating the difficult point is corrected based on the vehicle behavior or the driver behavior observed in that case. The reference indicating the difficult point is given by a threshold value or a behavior corresponding to the difficult point. The vehicle behavior and the driver behavior observed when the branch destination is lost at an intersection depends on each driver. By this processing, the accuracy of the determination of the difficult point can be improved.

  An example of the correction of the reference is explained by the case where the behavior observed by the sensor is compared with a predetermined reference value, and the result indicates a difficult point. For example, it is a case where it is determined that the point is a difficult point when a large behavior exceeding a predetermined reference value is detected. In such a case, the reference value is corrected based on the behavior observed when the possibility of the difficult point is high.

  In one example, the reference value of the brake operation amount for determining the difficult point is corrected based on the brake operation amount observed at the difficult point. If the observed brake operation amount is smaller than the current reference value, the reference value may be corrected to be smaller than the current value. If the observed amount of brake operation is greater than the current reference value, the reference value may be modified to be greater than the current value.

  In another example, the reference value of the steering width for determining the difficult point is corrected based on the steering width of the meandering steering observed at the difficult point. If the observed steering width is smaller than the current reference value, the reference value may be modified to be smaller than the current value. If the observed steering width is greater than the current reference value, the reference value may be modified to be greater than the current value.

  In another example, the reference value of the pulse change amount for determining the difficult point is corrected based on the driver's pulse change amount observed at the difficult point. If the observed pulse variation is less than the current reference value, the reference value may be modified to be less than the current value. When the observed pulse change amount steering width is larger than the current reference value, the reference value may be corrected to be larger than the current value.

  Another example of the correction of the reference is a case where the driver behavior observed when the possibility of the difficult point is high is set as a “reference indicating the difficult point” unique to the driver. In one example, the reference is modified so that the driver's voice observed at the difficult point is set as a reference voice for determining the difficult point. One driver may say “I got it!” At a difficult point, and another driver may say “Oh!” At a difficult point. In order to set a standard that suits the driver's personality, the former case can be set with “Shit!” As the reference, and in the latter case with “Oh!” it can.

  In step 141, the center apparatus 3 receives the original images transmitted from the plurality of vehicle apparatuses 5. In step 142, the received original image is stored in the memory device 3b. Here, the original image is accumulated for each point. A plurality of different original images can be accumulated for one point.

  Step 141 and step 142 provide an acquisition unit that acquires an original image taken at a predetermined point, that is, a difficult point. The acquisition unit acquires information indicating the shooting conditions of each original image. The acquisition unit includes a center reception unit that is provided in step 141 and receives the original image transmitted from the transmission unit. The acquisition unit is provided by step 142 and includes an accumulation unit that accumulates a plurality of original images.

  In step 143, the center device 3 executes a process of confirming whether or not the point indicated by the original image is appropriate as a difficult point to provide the clean image. This confirmation processing can be performed by the operator viewing the original image and making a determination. In addition, the confirmation process can include a determination as to whether or not a plurality of original images exceeding a predetermined threshold are accumulated for one point. When this determination is affirmative, it is indicated that the determination of being a difficult point in many vehicles 4 has been made. In this case, it is considered desirable to treat the point as a difficult point and provide a clean image described later. If the validity of the difficult point is affirmed in step 143, step 144 is executed. If the validity of the difficult point is denied in step 143, the execution of step 144 for that point is postponed.

  Step 143 provides a confirmation unit for confirming that the point where the original image was taken is appropriate as the point where the clean image is to be created. When the confirmation unit confirms that it is appropriate, the creation unit allows the creation of a clean image. When the number of original images exceeding a predetermined threshold is accumulated, the confirmation unit confirms that it is appropriate as a point where a clean image is to be created.

  In step 144, a clean image is created based on the original image. In step 144, a clean image of a difficult point where a moving body such as another vehicle or a pedestrian is not captured is created. The creation of a clean image may be executed by a process of selecting an original image that does not show a moving object from a plurality of original images accumulated for one point. In addition, the creation of a clean image may be executed by erasing other vehicles and moving objects such as pedestrians from the original image.

  A clean image can be created by an operator processing and correcting an original image. In such manual processing, an operation of creating a clean image based on a plurality of original images accumulated for the target point is executed. The creation of a clean image can be performed by an image processing program that automatically generates one or a plurality of clean images based on a plurality of original images.

  The clean image generation process includes selection of a basic image, recognition of a moving object in the basic image, selection of another original image that can provide a background image for erasing the moving object, and comparison with other original images of the basic image Multiple steps such as synthesis are included. The image is temporarily stored in the memory device 3b both in the manual processing and in the automation processing by the image processing program.

  The selection of the basic image can be performed by selecting an original image that shows the difficult-to-understand points in an easily understandable manner from a plurality of original images. For example, an original image whose shooting position is within a predetermined range from a difficult point, for example, a reference point of a difficult intersection can be selected as a basic image. In addition, an original image that satisfies a predetermined condition set based on the width of a road connected to a difficult intersection can be selected as a basic image. Recognition of the moving body in the basic image can be executed based on a preset reference shape indicating a vehicle or a pedestrian.

  Other original images can be selected by selecting an original image similar to the basic image. For example, an original image whose shooting position is within a predetermined range from the shooting position of the basic image can be selected as another original image. In addition, paying attention to the characteristic objects in the image, for example, the position and shape of the road sign, an original image in which they appear in the same manner as the basic image can be selected as another original image. Specifically, a stop line or a pedestrian crossing can be used. Moreover, you may utilize the image process which recognizes the range in an intersection.

  In the synthesis of the basic image and another image (part), correction processing such as correction based on the shooting position and shadow correction based on the date and time is executed. The correction based on the shooting position can include a correction in the left-right direction based on the difference in the driving lane when the original image is shot. The correction based on the photographing position can include correction in the height direction based on the height difference of the camera 5d. A clean image in which at least one moving object is deleted is generated by combining another original image portion with the basic image so that the moving object is deleted from the basic image.

  Step 144 provides a creation unit that creates a clean image in which at least a part of another vehicle and / or a moving object such as a pedestrian is deleted from one original image. The clean image is created as an image for supporting driving at a difficult point. The creation unit creates a clean image based on a plurality of original images. The creating unit synthesizes a plurality of original images based on the shooting conditions attached to each original image. The creation unit creates a clean image from which the moving object is erased by synthesizing the partial images of the other original images within a range in which the moving object is reflected in one original image. Therefore, even if the moving body is deleted, an image close to the actual landscape is provided.

  In step 145, the clean image is distributed from the center device 3 to the vehicle device 5. Step 145 provided in the center device 3 provides a distribution unit that distributes the clean image to the vehicle device 5. The delivery of the clean image can be executed toward a plurality of vehicles 4. In addition, the delivery of the clean image can be executed in response to a request from the vehicle 4. Further, the arrangement of the clean image may be executed for the vehicle 4 that is about to reach one difficult point.

  In step 136, a clean image is received by the vehicle device 5. Step 136 provides a vehicle receiver that receives the clean image distributed from the distributor and stores it in the memory device 5b.

  In step 137, a clean image is provided to the driver by the vehicle device 5. Here, a clean image is displayed on the display 5e. The vehicle device 5 uses a clean image for route guidance. For example, the vehicle device 5 displays a clean image on the display 5e before the vehicle 4 reaches a difficult point.

  At this time, when route guidance is being executed, a guidance symbol can be displayed over the clean image. The guide symbol is an arrow indicating a route or a multi-headed arrow indicating a plurality of branching directions that can be selected in the branch path. An image including a clean image and a guidance symbol can be called a guidance image. The guide symbol can be synthesized on the clean image in the vehicle device 5. The guide symbol may be synthesized on the clean image in the center device 3. The clean image and the guidance image are images for driving support.

  Steps 132-134, 141-145, and 136-137 provide a providing unit that provides an image for supporting driving at the difficult point based on the original image taken at the difficult point. In this embodiment, a providing unit is provided by at least the creation unit 144, the distribution unit 145, the vehicle reception unit 136, and the display unit 137. Step 137 provides a display unit for displaying the clean image stored in the memory device 5b on the display 5e when traveling through the difficult point.

  Steps 131-137 and 141-145 provide image distribution processing for providing an image for supporting driving at the difficult point based on the original image taken at the difficult point. In this embodiment, the sign display process provided in step 124 or the image distribution process provided in steps 131-145 provides a utilization unit that uses the image taken in step 123.

  FIG. 5 shows a process 150 for determining difficult points, for example, difficult intersections. Process 150 shows an example of step 131. Process 150 is executed by vehicle device 5.

  In step 151, candidate points are extracted. Candidate points are points that can be difficult points. When determining an esoteric intersection, an esoteric intersection where the driver is likely to get lost in the traveling direction is extracted from a plurality of intersections registered in the memory device 5b.

  In step 152, it is determined whether or not the vehicle 4 has reached the candidate point. If the determination is negative, the process returns to step 151. If the determination is positive, go to step 153.

  In step 153, it is determined whether or not the vehicle 4 has left the set route for route guidance at the candidate point. When leaving the set route at an intersection or the like, there is a high possibility that the intersection is a difficult point. In step 153, when the vehicle 4 leaves the set route, it is determined that the candidate point is a difficult point.

  In step 154, the vehicle behavior observed at the candidate point is compared with the reference. In step 154, it is determined whether the observed vehicle behavior deviates from the reference. If the observed vehicle behavior deviates from the standard, it is determined that the candidate point is a difficult point.

  In step 155, the driver behavior observed at the candidate point is compared with the reference. In step 154, it is determined whether the observed driver behavior has deviated from the reference. If the observed driver behavior deviates from the standard, it is determined that the candidate point is a difficult point.

  In step 156, it is determined whether or not the candidate point is indicated as a difficult point by any one of the determination processes (1), (2), and (3) in steps 153-155. If any one of the determination processes (1), (2), and (3) indicates that the candidate point is a difficult point, the process proceeds to step 132. If the determination in step 156 is negative, the process returns to step 151.

  FIG. 6 shows a process 160 for verifying that it is a difficult point based on the original image. The process 160 shows an example of step 133. Process 150 is executed by vehicle device 5.

  In step 161, it is determined whether or not the cause of detection of the difficult point is vehicle behavior or driver behavior. Thus, when a positive determination is made at step 154 or step 155, a positive determination is obtained at step 161. If the determination in step 161 is negative, the process proceeds to step 134. If the determination in step 161 is affirmative, the process proceeds to step 162.

  In step 162, image recognition processing for searching for an error thing in the original image is executed. In step 163, it is determined whether there is an error in the original image. If the determination in step 163 is negative, the process proceeds to step 134. If the determination in step 163 is affirmative, the process proceeds to step 164. In step 164, the original image obtained in step 132 is discarded. Thereafter, the process returns to step 131.

  FIG. 7 shows a process 170 for learning a criterion indicating a difficult point. Process 170 shows an example of step 135. The process 170 is executed by the vehicle device 5.

  In step 171, it is determined whether or not the candidate point is indicated as a difficult point by a plurality of determination processes (1), (2), and (3) in steps 153-155. If at least two of the determination processes (1), (2), and (3) indicate that the candidate point is a difficult point, the process proceeds to step 172. If a negative determination is made in step 171, the process returns to step 132.

  In this embodiment, the determination unit provided in step 131 includes a plurality of determination processes, that is, steps 153 to 155. Step 171 provides a determination unit that determines that the correctness of the difficult-to-understand determination is higher than a predetermined level. As a result, the learning unit performs correction when the difficult point is determined by at least two of the plurality of determination processes.

  In step 172, the criteria for vehicle behavior are modified based on the vehicle behavior observed at the difficult point. In step 173, the criterion for driver behavior is modified based on the driver behavior observed at the difficult point. Step 173 may be set based on the behavior of the driver observed at the difficult point, for example, voice.

  8 and 9 each show an example of the original image. In these drawings, an image taken by the camera 5d is simplified for illustration. The original image RV1 and the original image RV2 are images obtained by photographing the same intersection. The original image RV1 is an original image acquired in response to the determination of a difficult intersection in one vehicle 4. The original image RV2 is an original image acquired in response to the determination of the difficult intersection in the other one vehicle 4. The original image RV1 and the original image RV2 are different in the date and time when the image was taken.

  The scenery of the intersection is photographed in the original images RV1 and RV2. As illustrated, the original images RV1 and RV2 include a road sign RS, a building BD that is part of the landscape, and an overpass OP that is part of the landscape. This intersection has a large area. For this reason, the building BD on the other side looks small. Moreover, the field of view is obstructed by an installation such as a traffic light. Furthermore, the overpass OP covers a wide range, and the whole is dark. For these reasons, it is difficult to recognize each of the branch paths.

  In the original images RV1 and RV2, another vehicle VH that is a moving body and a pedestrian PD are shown. For this reason, the original images RV1 and RV2 represent different landscapes. Just looking at these original images RV1 and RV2, it is not easy to accurately recognize the shape of the intersection and select a branch road to travel.

  FIG. 10 shows an example of a clean image synthesized by the center device 3. In this figure, a high-definition image corresponding to an image taken by the camera 5d is shown in a simplified manner for illustration. The clean image CV is an image synthesized at step 144. In the clean image CV, the road sign RS, the building BD that is a part of the landscape, and the overpass OP are displayed. The clean image CV does not show at least a conspicuous moving body. The clean image CV may include a small moving object that can be identified with the background building BD. The clean image CV is synthesized based on the original images RV1 and RV2. The clean image CV is a high-definition image comparable to the original images RV1 and RV2. The clean image CV is an image having a quality closer to that of a photograph than a picture showing a building or the like as a schematic block.

  FIG. 11 shows an example of a guide image displayed on the display 5 e by the vehicle device 5. The guide image NV displayed on the display 5e is a high-definition image comparable to the clean image CV. The guide image NV can have the same image quality as the clean image CV. A guidance symbol GS for route guidance is combined with the guidance image NV by the route guidance function of the vehicle device 5. In the illustrated example, the guide symbol GS indicates a traveling direction for entering one of a plurality of branch paths. The guide symbol GS can be synthesized on the clean image in the center device 3 or the vehicle device 5.

  According to this embodiment, an image for supporting traveling at the difficult point is created from the original image taken at the difficult point. Therefore, an image for driving support is provided based on the actual scenery at the difficult point.

  In one example, an original image is provided from a preceding vehicle that has passed through a difficult point, and a clean image synthesized based on the original image is provided as a guide image for the following vehicle. The clean image is generated based on the landscape of the difficult point seen from the preceding vehicle. For this reason, the guide image close | similar to the actual way of seeing in a difficult point can be provided to the driver of a succeeding vehicle.

  In addition, a clean image is created by deleting at least part of other vehicles and / or moving objects such as pedestrians from the original image. Therefore, the difficulty of understanding due to the moving body is reduced. As a result, it is possible to provide an image that is less affected by other moving objects and is easy for the driver to understand.

(Other embodiments)
The preferred embodiments of the disclosed invention have been described above, but the disclosed inventions are not limited to the above-described embodiments, and various modifications can be made. The structure of the said embodiment is an illustration to the last, Comprising: The technical scope of several disclosed invention is not limited to the range of these description. The disclosed inventions are not limited to the combinations shown in the embodiments, and can be implemented independently. Some technical scopes of the disclosed inventions are indicated by the description of the claims, and include all modifications within the meaning and scope equivalent to the description of the claims.

  For example, the means and functions provided by the control device can be provided by software only, hardware only, or a combination thereof. For example, the control device may be configured by an analog circuit.

  In the above-described embodiment, a clean image created based on a plurality of original images acquired by a plurality of vehicles 4 that have passed through a difficult point in advance is transferred to another subsequent vehicle 4 that reaches the difficult point in the future. Explained when provided. However, in the vehicle navigation system, a clean image created based on a plurality of original images repeatedly acquired by one vehicle 4 may be provided to the same vehicle 4.

  In the above-described embodiment, the configuration in which steps 131 to 145 are executed in a distributed manner by the center device 3 and the vehicle device 5 has been described. Instead of this, sharing of processing different from the above-described embodiment may be adopted. For example, part or all of steps 131 to 135 may be executed in the center device 3. Further, part or all of steps 141 to 145 may be executed in vehicle device 5.

  In the above-described embodiment, steps 131 to 135 are executed in real time while the vehicle 4 is traveling. Alternatively, steps 131 to 135 may be executed after the vehicle 4 has traveled over a predetermined period. In this case, a process for storing information observed during the traveling of the vehicle 4 in the memory device 5b is added. Steps 131-135 are executed based on the stored information.

  In the above embodiment, a clean image is created by deleting both other vehicles and pedestrians from the original image. Alternatively, a clean image may be created by deleting only one of the other vehicle and the pedestrian from the original image.

  In the above-described embodiment, the configuration in which step 124 is executed only in the vehicle device 5 has been described. Instead, a part of step 124 may be executed in the center device 2. For example, the sign image may be collected in the memory device 3b of the center device 3, and the latest and high-quality sign image may be distributed and displayed from the collected image to the vehicle device 5.

1 Vehicle navigation system,
2 distribution center, 3 center device,
3a Center processing device, 3b memory device, 3c communication device,
4 vehicle, 5 vehicle device, 6 communication system,
5a Vehicle processing device, 5b Memory device, 5c Communication device,
5d camera, 5e indicator, 5f detector.

Claims (6)

An acquisition unit (141-142) for acquiring original images (RV1, RV2) photographed at a predetermined point;
A creation unit (144) that creates a clean image (CV) in which at least a part of another vehicle and / or a moving body such as a pedestrian is deleted from the original image as an image for supporting driving at the point; Prepared ,
The acquisition unit includes a storage unit (142) that stores a plurality of original images,
The creation unit (144) creates the clean image based on a plurality of the original images,
Furthermore, a confirmation unit (143) that allows the creation unit to create the clean image when it is confirmed that the spot where the original image was captured is appropriate as a location where the clean image should be created. ,
The confirmation unit, if the number of the original image exceeds a predetermined threshold stored, vehicle navigation system characterized that you sure that the clean image is appropriate as a point to be prepared. The creation unit (144) creates the clean image from which the moving body is erased by synthesizing a partial image in another original image within a range in which the moving body is captured in one original image. The vehicle navigation system according to claim 1 . The acquisition unit acquires information indicating shooting conditions of each of the original images,
The vehicle navigation system according to claim 2 , wherein the creating unit synthesizes a plurality of the original images based on the shooting conditions. An acquisition unit (141-142) for acquiring original images (RV1, RV2) photographed at a predetermined point;
A creation unit (144) that creates a clean image (CV) in which at least a part of another vehicle and / or a moving body such as a pedestrian is deleted from the original image as an image for supporting driving at the point; Prepared,
The acquisition unit includes a storage unit (142) that stores a plurality of original images,
The creation unit (144) creates the clean image based on a plurality of the original images,
The creation unit (144) creates the clean image from which the moving body has been erased by combining the partial images in the other original image within a range in which the moving body is captured in one original image. ,
The acquisition unit acquires information indicating shooting conditions of each of the original images,
The creating unit for a vehicle navigation system, which comprises combining a plurality of said original image based on the photographing condition.   Furthermore, a confirmation unit (143) that allows the creation unit to create the clean image when it is confirmed that the spot where the original image was taken is appropriate as a point where the clean image should be created. The vehicle navigation system according to claim 4. The vehicle navigation system includes:
A plurality of vehicle devices (5) provided in each of the plurality of vehicles (4);
A center device (3) communicably connected to the plurality of vehicle devices,
The vehicle device (5)
A camera (5d) for supplying the original image by photographing the front of the vehicle;
A transmission unit (134) for transmitting the original image from the vehicle device to the center device;
The center device (3)
The acquisition unit;
The creation unit;
And a delivery unit (145) for delivering the clean image to the vehicle device,
The acquisition unit includes a center reception unit (141) that receives the original image transmitted from the transmission unit,
The vehicle device (5) further includes:
A vehicle receiver (136) for receiving the clean image distributed from the distributor and storing it in a storage device (5b);
A display unit (137) for displaying the clean image stored in the storage device on a display (5e) when traveling at the point, according to any one of claims 1 to 5 , The vehicle navigation system described.

Images