Abstract: A measuring device includes a measured value obtainer, a display device configured to display a measured value obtained by the measured value obtainer, an illumination device configured to emit a light to the display device, a measurement state obtainer configured to obtain information regarding a state in which a measured value is obtained by the measured value obtainer, and an illumination color changer configured to change a color of the light in accordance with a measurement state obtained by the measurement state obtainer.

Abstract: An information processing device includes a travel request acquisition unit that acquires travel request information for requesting travel permission of a specific road by a first vehicle, a number-of-vehicles acquisition unit that acquires a number of traveling vehicles indicating a number of a plurality of second vehicles traveling on the specific road, a determination unit that determines traveling availability on a basis of the number of traveling vehicles and an appropriate number of vehicles indicating an appropriate number of vehicles traveling on the specific road, and a transmission unit that transmits information indicating a determination result of the traveling availability to the first vehicle.

Abstract: An acquisition unit (22) acquires a value corresponding to the number of aggregation targets that are present, the number being collected in a predetermined time unit for each region obtained by virtually dividing a real space, a calculation unit (24) calculates each of three different indexes from the acquired value, and a control unit (26) displays, on a display unit, a visualized image in which a pixel value obtained by associating the three indexes calculated with three elements of a color space, respectively, is set as a pixel value indicating the region.

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: 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 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: 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: 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 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.