Abstract: According to an embodiment, a device includes processing circuitry. The processing circuitry performs three-dimensional measurement of surroundings of a mobile object to obtain a three-dimensional point group. The processing circuitry calculates movement information. The processing circuitry makes a threshold value based on time series differences in the movement information. The processing circuitry extracts, from the three-dimensional group, three-dimensional points having distance to the mobile object in a moving direction of the mobile object to be equal to or smaller than the threshold value. The processing circuitry divides space, in which the three-dimensional points are present, into divided spaces in the moving direction. The processing circuitry selects a representative point for the divided space from among three-dimensional points included in the divided space.

Abstract: An example image processing device obtains first images capturing a street, on which a target vehicle is running, from a plurality of directions, and position information indicating positions at which the first images are taken, and associates a background object in a second image with a background object in a third image. The second image is an image which the target object is detected from and the third image is an image which is taken by an imaging device having a common imaging range with the second image among imaging devices mounted on the target vehicle. An output image is generated to include the position information indicating a position at which the second image is taken, the image of the detection rectangle which is clipped from the second image and includes the target object and the background object, and the first image of surroundings of the target vehicle.

Abstract: According to an embodiment, a detection device includes a camera, a memory, and processor circuitry. The camera is connected to an internal bus and configured to acquire an image including an area in which a mobile body is movable. The memory is connected to the internal bus and configured to store data and a program. The processor circuitry is connected to the internal bus and configured to detect at least the area, a mark on the area, and a person, from the image, calculate a first distance between the person and a position of the device when the person is in the area, and set a range according to a result of the detection and the first distance.

Abstract: According to an embodiment, an information processing device includes an internal sensor, a first derivation unit, a second derivation unit, a reliability calculation unit, a movement amount calculation unit. The internal sensor monitors monitor information including acceleration of a moving object. The first derivation unit derives a first movement amount of the moving object from the monitor information. The second derivation unit derives a second movement amount of the moving object using surrounding information of the moving object monitored by an external sensor. The reliability calculation unit calculates reliability of the second movement amount. The movement amount calculation unit calculates a current movement amount of the moving object using the first movement amount and the second movement amount when the reliability meets a specific criterion, and calculates the first movement amount as the current movement amount when the reliability does not meet the specific criterion.

Abstract: An example image processing device obtains first images capturing a street, on which a target vehicle is running, from a plurality of directions, and position information indicating positions at which the first images are taken, and associates a background object in a second image with a background object in a third image. The second image is an image which the target object is detected from and the third image is an image which is taken by an imaging device having a common imaging range with the second image among imaging devices mounted on the target vehicle. An output image is generated to include the position information indicating a position at which the second image is taken, the image of the detection rectangle which is clipped from the second image and includes the target object and the background object, and the first image of surroundings of the target vehicle.

Abstract: An image processing device obtains first images capturing a street, on which a target vehicle is running, from a plurality of directions, and position information indicating positions at which the first images are taken, and associates a background object in a second image with a background object in a third image. The second image is an image which the target object is detected from and the third image is an image which is taken by an imaging device having a common imaging range with the second image among imaging devices mounted on the target vehicle. An output image is generated to include the position information indicating a position at which the second image is taken, the image of the detection rectangle which is clipped from the second image and includes the target object and the background object, and the first image of surroundings of the target vehicle.

Abstract: According to one embodiment, an information processing apparatus includes processing circuitry. The processing circuitry acquires a measurement value including an acceleration, corrects the measurement value to reduce a drift in the measurement value, acquires a first image and a second image, detects feature points in the first and the second images, identify a corresponding point among the feature points in the second image, which corresponds to one of the feature points in the first image, and estimate a relative displacement of a moving object between a time at which the first image is taken and a time at which the second image is taken, based on the corrected measurement value, the feature point in the first image and the corresponding point in the second image.

Abstract: According to an embodiment, an image processing device includes an image acquirer, a tracker, an extractor, a feature amount acquirer, and an association controller. The image acquirer is configured to acquire a time series of images from each imaging device. The tracker is configured to track a position of an object in the time series of images. The extractor is configured to extract, from the time series of images, an observed value corresponding to a feature value in each of regions into which the time series of images is divided depending on a distance from the imaging device. The feature amount acquirer is configured to acquire a feature amount based on a deviation value of the observed value in a feature value distribution for the region. The association controller is configured to associate the tracked objects among multiple time series of images acquired from the imaging devices by using the feature amount.

Abstract: According to an embodiment, an information processing device includes an internal sensor, a first derivation unit, a second derivation unit, a reliability calculation unit, a movement amount calculation unit. The internal sensor monitors monitor information including acceleration of a moving object. The first derivation unit derives a first movement amount of the moving object from the monitor information. The second derivation unit derives a second movement amount of the moving object using surrounding information of the moving object monitored by an external sensor. The reliability calculation unit calculates reliability of the second movement amount. The movement amount calculation unit calculates a current movement amount of the moving object using the first movement amount and the second movement amount when the reliability meets a specific criterion, and calculates the first movement amount as the current movement amount when the reliability does not meet the specific criterion.

Abstract: According to one embodiment, an information processing apparatus includes processing circuitry. The processing circuitry acquires a measurement value including an acceleration, corrects the measurement value to reduce a drift in the measurement value, acquires a first image and a second image, detects feature points in the first and the second images, identify a corresponding point among the feature points in the second image, which corresponds to one of the feature points in the first image, and estimate a relative displacement of a moving object between a time at which the first image is taken and a time at which the second image is taken, based on the corrected measurement value, the feature point in the first image and the corresponding point in the second image.

Abstract: A moving body position estimating device includes an acquisition unit and a processor. The acquisition unit acquires information including first data relating to a first image and second data relating to a second image including a difference between the first image and the second image accompanying a movement of a moving body. The processor implements estimating, based on the information, a direction of a rotation accompanying the movement; detecting, based on the direction of the rotation, first feature points inside a first region inside the first image and second feature points inside a second region inside the first image; and determining first corresponding points inside a third region inside the second image and estimating a change of a position of the moving body based on each of the first feature points and each of the first corresponding points.

Abstract: According to an embodiment, a device includes processing circuitry. The processing circuitry performs three-dimensional measurement of surroundings of a mobile object to obtain a three-dimensional point group. The processing circuitry calculates movement information. The processing circuitry makes a threshold value based on time series differences in the movement information. The processing circuitry extracts, from the three-dimensional group, three-dimensional points having distance to the mobile object in a moving direction of the mobile object to be equal to or smaller than the threshold value. The processing circuitry divides space, in which the three-dimensional points are present, into divided spaces in the moving direction. The processing circuitry selects a representative point for the divided space from among three-dimensional points included in the divided space.

Abstract: An image processing device obtains first images capturing a street, on which a target vehicle is running, from a plurality of directions, and position information indicating positions at which the first images are taken, and associates a background object in a second image with a background object in a third image. The second image is an image which the target object is detected from and the third image is an image which is taken by an imaging device having a common imaging range with the second image among imaging devices mounted on the target vehicle. An output image is generated to include the position information indicating a position at which the second image is taken, the image of the detection rectangle which is clipped from the second image and includes the target object and the background object, and the first image of surroundings of the target vehicle.

Abstract: According to an embodiment, a detection device includes a camera, a memory, and processor circuitry. The camera is connected to an internal bus and configured to acquire an image including an area in which a mobile body is movable. The memory is connected to the internal bus and configured to store data and a program. The processor circuitry is connected to the internal bus and configured to detect at least the area, a mark on the area, and a person, from the image, calculate a first distance between the person and a position of the device when the person is in the area, and set a range according to a result of the detection and the first distance.

Abstract: According to an embodiment, an image processing device includes an image acquirer, a tracker, an extractor, a feature amount acquirer, and an association controller. The image acquirer is configured to acquire a time series of images from each imaging device. The tracker is configured to track a position of an object in the time series of images. The extractor is configured to extract, from the time series of images, an observed value corresponding to a feature value in each of regions into which the time series of images is divided depending on a distance from the imaging device. The feature amount acquirer is configured to acquire a feature amount based on a deviation value of the observed value in a feature value distribution for the region. The association controller is configured to associate the tracked objects among multiple time series of images acquired from the imaging devices by using the feature amount.

Abstract: A moving body position estimating device includes an acquisition unit and a processor. The acquisition unit acquires information including first data relating to a first image and second data relating to a second image including a difference between the first image and the second image accompanying a movement of a moving body. The processor implements estimating, based on the information, a direction of a rotation accompanying the movement; detecting, based on the direction of the rotation, first feature points inside a first region inside the first image and second feature points inside a second region inside the first image; and determining first corresponding points inside a third region inside the second image and estimating a change of a position of the moving body based on each of the first feature points and each of the first corresponding points.