Abstract: A technique of estimating, based on a camera image captured from a mobile object, the position coordinates of an ambient object or the mobile object itself is offered. A plurality of camera images that are captured at different geographical locations and contain at least one identical stationary object are acquired; position coordinates of the imaging locations of the corresponding camera images are acquired; and the position coordinates of the stationary object are estimated based on the position coordinates of the imaging locations and gaze vectors oriented from a camera to the stationary object in each of the camera images.

Abstract: A lane pricing technique for charging a mobile body traveling on a road for use of a lane is provided. A lane pricing device according to one embodiment is configured to: acquire from a mobile body traveling on a road, at least one of position information of a mobile body measured based on a positioning signal, and/or a camera image that is acquired by capturing an image from the mobile body and includes a part of a lane in which the mobile body is moving; specify, based on at least one of the position information and/or the camera image, a lane in which the mobile body is moving; acquire lane identification information for identifying a specified lane along with time information indicative of time when the mobile body is moving; and determine and output a toll to be charged to the mobile body in units of lanes based on the lane identification information and the time information.

Abstract: Provided is a technique for efficiently predicting the number (quantity) of occurrences of emergency medical service requests in a target area.

Abstract: A data processing method according to an embodiment acquires data including a plurality of records, divides the data based on external condition identification information such as a user ID to generate data sets Di for respective external conditions, divides each of the data sets Di based on label information indicating whether the record corresponds to a positive label indicating that a predetermined event has occurred or a negative label indicating that the predetermined event has not occurred to generate two data sets Di+ and Di? for the respective label information, generates difference data for a combination of a record included in one data set of the two data sets and a record included in the other data set, combines the generated difference data to generate integrated data Dnew, performs statistical analysis using Dnew, and outputs a result of performing the statistical analysis.

Abstract: A sidewalk information generation device includes a thinning unit configured to perform thinning processing for extracting, from image data indicating an area of a sidewalk, a centerline in a width direction of the area of the sidewalk, a segmentation unit configured to perform segmentation processing for dividing the centerline extracted by the thinning unit in a longitudinal direction to generate a plurality of lines, and a vectorization unit configured to convert each of the plurality of lines generated by the segmentation unit to vector data indicating a coordinate sequence of a plurality of line segments.

Abstract: A sidewalk network information generation device in an embodiment includes a sidewalk centerline data storage device configured to store sidewalk centerline data indicating a plurality of sidewalk centerlines, a detection unit configured to detect an end point and a corner point of each of the plurality of sidewalk centerlines from the sidewalk centerline data stored in the sidewalk centerline data storage unit, and a link information generation unit configured to select, from among the end points and the corner points of the plurality of sidewalk centerlines detected by the detection unit, first coordinates indicating an end point or a corner point of a first sidewalk centerline and second coordinates indicating an end point or a corner point of a second sidewalk centerline within a certain distance from the first coordinates, and generate link information for linking the plurality of sidewalk centerlines on the basis of the selected first and second coordinates.

Abstract: An infectious disease prevention supporting device according to an embodiment of the present invention is an infectious disease prevention supporting device including a processor. The processor is configured to perform a detection process that detects a motion of a forearm or a wrist by a user, a proximity determination process that determines whether the user's hand is in proximity to a mucosa of the user's face based on the motion detected by the detection process for a predetermined period of time, and a warning generation process that generates a warning to suppress the proximity of the user's hand to the mucosa when it is determined by the proximity determination process that the user's hand is in proximity to the mucosa.

Abstract: A technology is provided whereby a lane can be correctly estimated without relying on lane markers. A shape indicating a road region is extracted from image data obtained by capturing images in the progression direction of a vehicle 6 and, on the basis of information indicating the shape, the angle of inclination for one contour line, the center-of-gravity coordinates for a diagram indicating the shape of the road region, the angle between two consecutive contour lines across one vertex of the diagram indicating the shape, and the area of the diagram indicating the shape are calculated as feature values for the shape of the road region. In addition, the lane in which the vehicle 6 is traveling can be estimated by determining whether or not the calculated feature values are included in a threshold value range preset for each lane.

Abstract: An optimization device 10 for optimizing a digital twin system including at least two digital twins includes: an index value acquisition unit 101 that acquires a first index value of a first digital twin in a case where a first parameter is given; a state estimation unit 102 that estimates a state of the first digital twin after the first parameter is given; a state acquisition unit 103 that acquires the state of the first digital twin, a second index value of a second digital twin obtained in a case where the first parameter is given, and a state of the second digital twin; and an optimization unit 104 that optimizes the first index value and the second index value.

Abstract: The traffic flow estimation apparatus acquires images and position information and speed information, the images being captured at different timings by a first moving object that is in motion in a target area and including a second moving object around the first moving object, the position information and speed information being of the first moving object at the timings; estimates a lane in which the second moving object is in motion; and estimates a traffic flow for each lane in the target area based on the speed information of the first moving object, the information indicative of a change over time of positions of the second moving object, and the lanes in which the first moving object and the second moving object are in motion.

Abstract: Provided is a highly reliable technology for optimizing an action for controlling an environment in a target space.

Abstract: A hand washing supporting device according to embodiments is a hand washing supporting device including a processor, in which the processor is configured to perform a detection process that detects, upon detecting the motion of the hand by the user for a predetermined period of time by the detection process, a motion of a hand by a user, a determination process that determines a start of hand washing by the user, and a notification process that notifies, in accordance with a determination of the start of the hand washing by the determination process, the user of a difference between time required from the start to an end of the hand washing by the user and the predetermined period of time.

Abstract: Provided is a learning support device capable of providing highly reliable parameter estimation. A learning support device for supporting user learning acquires correct/incorrect answer data indicating whether each of answers from a plurality of users to a plurality of items to be learned is correct or incorrect, and calculates, based on the acquired correct/incorrect answer data, a proficiency level indicating an ability level of each user, a difficulty level indicating a difficulty of each item, and reliabilities indicating reliability levels of the proficiency level and the difficulty level.

Abstract: The traffic flow estimation apparatus acquires images and position information and speed information, the images being captured at different timings by a first moving object that is in motion in a target area and including a second moving object around the first moving object, the position information and speed information being of the first moving object at the timings; estimates a lane in which the second moving object is in motion; and estimates a traffic flow for each lane in the target area based on the speed information of the first moving object, the information indicative of a change over time of positions of the second moving object, and the lanes in which the first moving object and the second moving object are in motion.

Abstract: According to one aspect, an information processing apparatus includes: a terrain data processing unit which performs a terrain data process of calculating a terrain coordinate group based on terrain data in which a position and a shape of an object are represented by a plurality of nodes or are represented by a plurality of nodes and a link between the nodes; and a selection processing unit which selects nodes adjacent or close to each other, indicated by the terrain coordinate group calculated by the terrain data processing unit, and selects a node suitable to calculate a width of the object from other nodes based on a positional relationship between the selected nodes and the other nodes.

Abstract: Provided is a technique for efficiently predicting the number (quantity) of occurrences of emergency medical service requests in a target area.

Abstract: A crosswalk detection device according to an embodiment includes a processor, and the processor configured to perform image scanning processing for scanning aerial image data in unit of window, multiple line segment creation processing for creating a plurality of line segments corresponding to a distance based on a dimension of a crosswalk in any direction within a region scanned in the aerial image data, first calculation processing for calculating an absolute value of a first derivative value indicating a difference in brightness between both ends of the line segment and calculating an average value of the absolute value of the first derivative value for each angle, second calculation processing for calculating an absolute value of a second derivative value indicating a difference between a difference in brightness between a first end and an intermediate point of the line segment and a difference in brightness between the intermediate point and a second end of the line segment and calculating an average val

Abstract: A driving assistance device according to an embodiment includes a hardware processor and a memory, in which the hardware processor is configured to execute: acquiring image data captured in a vehicle and sensor data relating to a driving operation; converting an image in each frame included in the image data into an image feature amount indicated by the image; combining the image feature amount and the acquired sensor data; performing, based on the combined data, a learning process for a driving assistance information learning model used when a target value relating to the driving operation by a driver of the vehicle is generated from the image feature amount included in the combined data; and generating, when new image data captured in the running vehicle is acquired, the target value relating to the driving operation based on the image feature amount converted from the acquired new image data and the driving assistance information learning model.

Abstract: A technique of estimating, based on a camera image captured from a mobile object, the position coordinates of an ambient object or the mobile object itself is offered. A plurality of camera images that are captured at different geographical locations and contain at least one identical stationary object are acquired; position coordinates of the imaging locations of the corresponding camera images are acquired; and the position coordinates of the stationary object are estimated based on the position coordinates of the imaging locations and gaze vectors oriented from a camera to the stationary object in each of the camera images.

Abstract: A lane pricing technique for charging a mobile body traveling on a road for use of a lane is provided. A lane pricing device according to one embodiment is configured to: acquire from a mobile body traveling on a road, at least one of position information of a mobile body measured based on a positioning signal, and/or a camera image that is acquired by capturing an image from the mobile body and includes a part of a lane in which the mobile body is moving; specify, based on at least one of the position information and/or the camera image, a lane in which the mobile body is moving; acquire lane identification information for identifying a specified lane along with time information indicative of time when the mobile body is moving; and determine and output a toll to be charged to the mobile body in units of lanes based on the lane identification information and the time information.