Abstract: A recognition device acquires a time-series image acquired in an environment in which a vehicle travels, detects characters of a predetermined character string from the image, and evaluates relationship between detected characters of the character string and recognizes a shape of a target including the character string.

Abstract: A recognition device includes a data extraction unit, a recognition unit, and a ratio estimation unit. The data extraction unit acquires related information related to a target in a recognition target image which is a post-image obtained through photographing before and after treatment on a container that stores the target, and extracts recognition target data which is a combination of the recognition target image and the related information The recognition unit accepts the recognition target data as an input to a model learned in advance and outputs a recognition result obtained by recognizing an area where at least the container, the target, and a portion other than the target are divided by an output of the model. The ratio estimation unit estimates a ratio of the target in the recognition target image based on the recognition result and an area ratio in a pre-stored pre-image obtained through the photographing before and after the treatment.

Abstract: In a dimension estimation device, an image acquired in a moving body is acquired, and a vanishing point and a predetermined decision line in the image are calculated. An object in the image is detected and a detection rectangle is detected for the object, the detection rectangle being a rectangle including a first surface that is a surface close to a photographing position, the first surface being in proximity to the decision line, and a second surface that is a surface far from the photographing position. A dimension of the object is estimated on the basis of a ratio between a height of the first surface and a height of the second surface obtainable from a relationship between the detection rectangle and the vanishing point.

Abstract: A learning device generates a first learned model by subjecting a learning model to learning such that a correlation coefficient between a first explanatory variable for learning and an explained variable output from the learning model is maximized when the learning model that outputs an explained variable in a case where an explanatory variable is input is subjected to learning on the basis of first learning data representing a pair of the first explanatory variable for learning and a first explained variable for learning. When the first learned model is subjected to relearning on the basis of the second learning data representing the pair of the second explanatory variable for learning and the second explained variable for learning, the learning device generates the second learned model by subjecting the first learned model to relearning such that the error between the second explained variable for learning and the explained variable output from the first learned model is minimized.

Abstract: A demand prediction device predicts the number of visits based on a number-of-visits prediction model used to predict the number of visits and factor information regarding a factor influencing the number of sales, predicts a ratio based on a ratio prediction model used to predict a ratio of the number of sales to the number of visits, and the factor information and predicts the number of sales of the commodity based on the predicted number of visits and the predicted ratio.

Abstract: A recognition device that detects a boundary of a roadway by use of time-series images captured by a camera mounted on a vehicle, the recognition device including: an acquisition unit that acquires the time-series images; and a detection unit that classifies areas in the acquired time-series images into a roadway, which is an area having a small change amount, and a portion other than the roadway, which is an area having a large change amount, according to magnitude of the change amounts, and detects a boundary between the area having the small change amount and the area having the large change amount as a boundary of the roadway.

Abstract: An image acquisition unit 20 acquires a group of time-series images captured by a camera mounted at the observation vehicle. A speed difference estimation unit 24 estimates a speed difference between the target object and the observation vehicle by using a time-series change in a region representing the target object captured in the group of time-series images. The determination unit 28 determines whether the target object or the observation vehicle is in a dangerous state based on the speed difference.

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

Abstract: An estimation device collects sensor data representing a change in a load along a time series as a change in a voltage value from a sensor that generates a voltage when a load applied to an area changes, and estimates a matter related to a measurement target passing through a predetermined area by using sensor data collected from the sensor installed in the predetermined area.

Abstract: An allocation search device includes: a first sample output unit that outputs, on the basis of past event occurrence data, a first main sample that may occur under a predetermined condition and a first auxiliary sample that may occur under a similar condition; an allocation plan creation unit that creates a plurality of allocation plans of resources for an occurring event; a first allocation evaluation unit that evaluates whether or not each of the plurality of allocation plans satisfies a predetermined evaluation criterion in a case where the first main sample and the first auxiliary sample are applied to each of the plurality of allocation plans; a second sample output unit that outputs, on the basis of latest event occurrence data, a future second main sample that may occur under the predetermined condition and a future second auxiliary sample that may occur under the similar condition; and a second allocation evaluation unit that, in a case where the second main sample and the second auxiliary sample are

Abstract: A display control device controls a display unit to display position information of an emergency vehicle, a predictive distribution of an occurrence point, and a risk level, the occurrence point representing a point at which a call for the emergency vehicle occurs, the risk level being determined depending on a time required for the emergency vehicle to arrive at the occurrence point after the call for the emergency vehicle occurs or a distance between the emergency vehicle and the occurrence point.

Abstract: A traffic congestion determination device includes an acquisition unit configured to acquire a total number of automobiles for each mesh obtained by virtually dividing a determination target region of traffic congestion and for each unit time, and a determination unit configured to determine whether occurrence of traffic congestion is sudden for each of the meshes based on the acquired total number of automobiles for each of the meshes and unit time.

Abstract: A comparison unit 68 compares target data to be inferred with a learning data group that is data used for learning of the inference model, and determines that an inference result is uncertain when a comparison result does not satisfy a fixed criterion. A notification unit 70 notifies a user that the inference result is uncertain in addition to the inference result when the inference result is determined to be uncertain.

Abstract: A business support device acquires at least business information including order reception/loss information relating to each commercial material for a company that is a business target of the commercial material, area information of a company, a business type of the company, and a company scale of the company, generates data used for prediction of an order reception score for each company and for each commercial material, predicts the order reception score for each commercial material and for each company using the generated data, and displays the predicted order reception score.

Abstract: A prediction method of performing heat source demand prediction in a space having a predetermined air conditioning control region, includes predicting a required heat quantity in the air conditioning control region by using a predetermined parameter related to a surrounding environment of the air conditioning control region and a setting value of an air conditioner set in the air conditioning control region as inputs, and predicting a heat source demand of the entire space from the predicted required heat quantity for each air conditioning control region.

Abstract: An estimation method includes acquiring sensor information acquired by a sensor mounted on a first vehicle belonging to a vehicle line, acquiring position information on a location of the first vehicle, and estimating a cause of the vehicle line by using the sensor information and the position information. The estimating of the cause includes estimating the cause by using information on a facility or a feature present near the first vehicle, information indicating a state of the first vehicle, information on an object present ahead of the first vehicle included in the sensor information, or information on a road that affects traveling. The information on the facility or the feature is searched based on the position information, the information on the object is estimated based on the sensor information, and the information on the road is searched based on the position information.

Abstract: A waypoint setting device sets a waypoint on the basis of a predictive distribution representing a demand prediction of occurrence points indicating positions from which a mobile object is called, position information indicating a position of a target mobile object that is a mobile object for which the waypoint is to be set, and destination information indicating information regarding a destination to which the target mobile object is to be moved. Then, the waypoint setting device outputs the set waypoint.

Abstract: A position estimation unit 25 estimates, for each movement in a predetermined section, a plurality of position candidates of a position estimation target on the basis of position information and sensor information. A position determination unit 26 evaluates, for each movement in the predetermined section, on the basis of the plurality of position candidates of the position estimation target obtained by the movement in the predetermined section, whether the position information used to estimate the position candidates has an error caused by any of a position of a GPS satellite, a position of a mobile body in a real space, or the mobile body or does not have any error caused thereby.

Abstract: A state estimation method executed by a state estimation apparatus including a processor and a memory storing program instructions that cause the processor to estimate a state related to congestion on a subject lane, includes acquiring a state related to congestion of a monitoring vehicle traveling on a non-subject lane, counting a number of vehicles traveling on the subject lane, the vehicles being overtaken by the monitoring vehicle or being oncoming vehicles passed by the monitoring vehicle, and estimating the state related to the congestion on the subject lane, using the state related to the congestion of the monitoring vehicle and the number of vehicles. In the estimating, when the number of the vehicles is equal to or greater than a threshold value according to the state related to the congestion of the monitoring vehicle, the state related to the congestion on the subject lane is estimated as traffic congestion.

Abstract: A vehicle condition estimation method performed by an information processing device including a processor and a memory connected to the processor to estimate a position or a condition of a vehicle, includes: acquiring an image including a vehicle to be estimated; and estimating the position or the condition of the vehicle to be estimated, using a line segment connecting at least two points selected from a region in which the vehicle to be estimated is captured in the image, with reference to an imaging device that has captured the image.