Abstract: A map information-providing system, a map information-providing method, and a map information-providing program which can provide map information while suppressing incongruity a recipient feels are provided. A navigation system (map information-providing system) includes a storage unit storing map information for navigation (first map information) and map information for autonomous driving (second map information) an updating period thereof is different from the map information for navigation with respect to at least a portion of a period of time, and a map information-providing unit which provides map information by combining the map information for navigation with the map information for autonomous driving in a case where the map information for autonomous driving had been updated based on newer information than the map information for navigation at a time of providing the map information.

Abstract: A map information-providing system, a map information-providing method, and a map information-providing program which can provide map information while suppressing incongruity a recipient feels are provided. A navigation system-(map information-providing system) includes a storage unit-storing map information for navigation (first map information) and map information for autonomous driving (second map information) an updating period thereof is different from the map information for navigation with respect to at least a portion of a period of time, and a map information-providing unit which performs driving guidance by providing at least a portion of items to be provided by the map information for navigation using the map information for autonomous driving in a case where the map information for autonomous driving bad been updated based on newer information than the map information for navigation at a time of performing driving guidance.

Abstract: A map information-providing system, a map information-providing method, and a map information-providing program which can provide map information while suppressing incongruity a recipient feels are provided. A navigation system—(map information-providing system) includes a storage unit—storing map information for navigation (first map information) and map information for autonomous driving (second map information) an updating period thereof is different from the map information for navigation with respect to at least a portion of a period of time, and a map information—providing unit which performs driving guidance by providing at least a portion of items to be provided by the map information for navigation using the map information for autonomous driving in a case where the map information for autonomous driving bad been updated based on newer information than the map information for navigation at a time of performing driving guidance.

Abstract: A map information-providing system, a map information-providing method, and a map information-providing program which can provide map information while suppressing incongruity a recipient feels are provided. A navigation system (map information-providing system) includes a storage unit storing map information for navigation (first map information) and map information for autonomous driving (second map information) an updating period thereof is different from the map information for navigation with respect to at least a portion of a period of time, and a map information-providing unit which provides map information by combining the map information for navigation with the map information for autonomous driving in a case where the map information for autonomous driving had been updated based on newer information than the map information for navigation at a time of providing the map information.

Abstract: There is provided a vehicle state determining device. An extracting unit is configured to extract feature points from images acquired by an imaging device mounted on a vehicle. An estimating unit is configured to estimate the movement amount of the vehicle at each time set at intervals of a predetermined time, on the basis of the feature points extracted by the extracting unit. A determining unit is configured to perform determination on movement of the vehicle on the basis of the movement amount estimated by the estimating unit, and the change amount of the movement amount.

Abstract: A new method for generating micro-nano bubbles that uses water hammering, a bubble generating nozzle, and an apparatus for generating micro-nano bubbles are provided to construct a system. The system is for generating micro-nano bubbles in a large amount using only pure water, which does not include any nucleating agents, and for performing not only a clean washing and sterilization but also the generation of uncontaminated micro-nano bubbles. The method defined in the present invention uses water hammering power produced by a mutual collision of jets of dissolved-gas-including solution squirted from two or more spouts.

Abstract: A driving support device according to an embodiment includes an estimation unit, a rendering unit, and an erasing unit. The estimation unit estimates a running state of a movable body based on an image taken on the movable body. The rendering unit produces a prediction line that indicates a predicted direction of travel of the movable body based on the running state estimated by the estimation unit, and superimposes and renders the prediction line on the taken image. The erasing unit erases the prediction line rendered by the rendering unit in a case where the estimation unit estimates that the movable body is stopped.

Abstract: A driving support device according to an embodiment includes an estimation unit, a rendering unit, and an erasing unit. The estimation unit estimates a running state of a movable body based on an image taken on the movable body. The rendering unit produces a prediction line that indicates a predicted direction of travel of the movable body based on the running state estimated by the estimation unit, and superimposes and renders the prediction line on the taken image. The erasing unit erases the prediction line rendered by the rendering unit in a case where the estimation unit estimates that the movable body is stopped.

Abstract: There is provided an image processing device. An object detecting unit is configured to detect objects from each frame image sequentially input from an imaging device. A selecting unit is configured to select objects positioned at the lowest portions, from the objects included in a plurality of individual segment areas constituting the frame image and existing side by side in a left-right direction. A highlighting-image generating unit is configured to generate highlighting images for highlighting the objects selected by the selecting unit.

Abstract: There is provided an object alarm device and an object alarm method, which can surely alarm a driver of a high-risk target object. The object alarm device according to the embodiment includes a detecting unit, a selecting unit and, an alarm information generating unit. The detecting unit detects one or more objects from images captured on a movable body. The selecting unit selects a moving object and a still object from among the objects detected by the detecting unit, in which the still object has a contact possibility with the movable body. The alarm information generating unit generates alarm information on the objects selected by the selecting unit.

Abstract: There is provided an image processing device. A feature point acquiring unit acquires a plurality of feature points of objects of each frame image. A grouping unit performs a grouping process of dividing the feature points into groups corresponding to the individual objects. A masking unit performs a masking process of excluding feature points included in some areas of the frame image. A highlighting-image generating unit generates highlighting images for highlighting objects of the frame image corresponding to the feature point groups. A superimposed-image generating unit superimposes the highlighting images on the frame image, thereby generating a superimposed image.

Abstract: An image processing apparatus that processes an image includes: an image acquisition portion that acquires a captured image from an imaging apparatus which captures an image of a vicinity of a vehicle; and an image generator that generates a display image in which a support image for supporting driving is superimposed on the acquired captured image captured by the imaging apparatus, the image generator being configured to (i) make a determination as to whether the vehicle is in a stopped state or a moving state, and (ii) select a type of the support image to be superimposed on the acquired captured image in the display image based on the determination as to whether the vehicle is in the stopped state or the moving state.

Abstract: A moving amount derivation apparatus derives a moving amount of a host apparatus that includes the moving amount derivation apparatus. The moving amount derivation apparatus includes: an image acquisition part that acquires a series of photographic images from a photographing apparatus that the host apparatus includes and that moves with the host apparatus; and an image processor coupled to the image acquisition part. The image processor is configured to: (i) derive a moving vector of a photographed object within the series of the photographic images, using a plurality of the photographic images out of the series of the photographic images, the plurality of the photographic images having been photographed at different time points; and (ii) derive the moving amount of the host apparatus based on the moving vector.

Abstract: There is provided a vehicle state determining device. An extracting unit is configured to extract feature points from images acquired by an imaging device mounted on a vehicle. An estimating unit is configured to estimate the movement amount of the vehicle at each time set at intervals of a predetermined time, on the basis of the feature points extracted by the extracting unit. A determining unit is configured to perform determination on movement of the vehicle on the basis of the movement amount estimated by the estimating unit, and the change amount of the movement amount.

Abstract: There is provided an image processing device. An object detecting unit is configured to detect objects from each frame image sequentially input from an imaging device. A selecting unit is configured to select objects positioned at the lowest portions, from the objects included in a plurality of individual segment areas constituting the frame image and existing side by side in a left-right direction. A highlighting-image generating unit is configured to generate highlighting images for highlighting the objects selected by the selecting unit.

Abstract: There is provided an image processing device. A feature point acquiring unit acquires a plurality of feature points of objects of each frame image. A grouping unit performs a grouping process of dividing the feature points into groups corresponding to the individual objects. A masking unit performs a masking process of excluding feature points included in some areas of the frame image. A highlighting-image generating unit generates highlighting images for highlighting objects of the frame image corresponding to the feature point groups. A superimposed-image generating unit superimposes the highlighting images on the frame image, thereby generating a superimposed image.

Abstract: There is provided an object alarm device and an object alarm method, which can surely alarm a driver of a high-risk target object. The object alarm device according to the embodiment includes a detecting unit, a selecting unit and, an alarm information generating unit. The detecting unit detects one or more objects from images captured on a movable body. The selecting unit selects a moving object and a still object from among the objects detected by the detecting unit, in which the still object has a contact possibility with the movable body. The alarm information generating unit generates alarm information on the objects selected by the selecting unit.

Abstract: A driving support device according to an embodiment includes an estimation unit, a rendering unit, and an erasing unit. The estimation unit estimates a running state of a movable body based on an image taken on the movable body. The rendering unit produces a prediction line that indicates a predicted direction of travel of the movable body based on the running state estimated by the estimation unit, and superimposes and renders the prediction line on the taken image. The erasing unit erases the prediction line rendered by the rendering unit in a case where the estimation unit estimates that the movable body is stopped.

Abstract: An image processing apparatus that processes an image includes: an image acquisition portion that acquires a captured image from an imaging apparatus which captures an image of a vicinity of a vehicle; and an image generator that generates a display image in which a support image for supporting driving is superimposed on the acquired captured image captured by the imaging apparatus, the image generator being configured to (i) make a determination as to whether the vehicle is in a stopped state or a moving state, and (ii) select a type of the support image to be superimposed on the acquired captured image in the display image based on the determination as to whether the vehicle is in the stopped state or the moving state.

Abstract: In a vehicle control apparatus, a display device displays a vehicle image showing a vehicle shape viewed from a virtual view point, and a user interface accepts a user's operation. When the user interface accepts the user's operation that issues an instruction for changing the vehicle image, a display control unit causes the display device to display the vehicle image after the changing of the virtual view point. Simultaneously, the display control unit causes the display device to display command buttons corresponding to portions of the vehicle shown by the vehicle image after the changing of the virtual view point.