Abstract: A coordination support device includes a target traffic area recognizer configured to recognize traffic participants, a predictor configured to predict futures of a plurality of the traffic participants, and a coordination support information notifier configured to notify notification targets. The predictor includes a group classifier configured to divide the plurality of traffic participants into a plurality of moving groups G1 to G9 and acquire moving group information, a first predictor configured to predict whether or not a collision will occur among the moving groups G1 to G9 on the basis of the moving group information and specifies collision sites in the moving groups that are predicted to collide, and a second predictor configured to determine two or more specific traffic participants among the plurality of traffic participants on the basis of the collision sites and predict whether or not a collision will occur among the specific traffic participants.

Abstract: A predictor 62 predicts a future of a prediction target in a monitoring area. The predictor 62 includes a movement state information acquirer 620 configured to acquire movement state information, a surrounding state information acquirer 621 configured to acquire surrounding state information regarding movement states of traffic participants around the prediction target, a confirmation state information acquirer 623 configured to acquire confirmation state information regarding a surrounding confirmation state of a driver of the prediction target, a moving speed predictor 624 configured to predict a future moving speed of the prediction target on a basis of the movement state information, the surrounding state information, and the confirmation state information, and a collision predictor 625 configured to predict whether or not a collision will occur in a future of the prediction target on the basis of the movement state information, the surrounding state information, and the future moving speed.

Abstract: To provide a lane shape recognition system and a lane shape recognition method which can determine an effective range of the approximated curve corresponding to the lane shape. A lane shape recognition system and a lane shape recognition method detects relative positions of a series of marks or objects which are continuously arranged in front of an own vehicle, with respect to the own vehicle; calculates a curve which approximates the relative positions of the series of marks or objects with respect to the own vehicle; and when a plurality of curves are calculated, mutually compare shapes of plurality of curves and determines the curves corresponding to the lane shape and the effective range of the curves.

Abstract: An ambulance service support device receives biological information to be used for personal identification of a person to be transported. The ambulance service support device identifies, using a database storing personal medical information, the personal medical information of the person to be transported by using the acquired biological information. The personal medical information is personal information regarding medical care including the biological information. The ambulance service support device outputs emergency support information obtained from the identified personal medical information.

Abstract: An ambulance service support device receives biological information to be used for personal identification of a person to be transported. The ambulance service support device identifies, using a database storing personal medical information, the personal medical information of the person to be transported by using the acquired biological information. The personal medical information is personal information regarding medical care including the biological information. The ambulance service support device outputs emergency support information obtained from the identified personal medical information.

Abstract: Provided is a traffic safety support system capable of improving traffic safety in a situation in which it is predicted that a mobile body will not obey a signal displayed by a traffic light. A traffic safety support system includes a recognizer, a HMI, a risk notification setting unit, and a risk notification control device. The risk notification setting unit sets a notification mode to a hinting notification mode in a case where a four-wheeled automobile acts as an oncoming mobile body and at least one of the four-wheeled automobile or a motorcycle is approaching a traffic light, and sets the notification mode to an analogue notification mode in a case where the four-wheeled automobile is present within an analogue notification actuation range.

Abstract: The invention is to provide a defect detection device capable of using a compact optical system to detect a plurality of types of defects with high sensitivity and high speed. The defect detection device includes an irradiation system that irradiates light onto an object to be inspected; an optical system that forms scattered light produced by a light irradiation into an image; a microlens array disposed at an image plane of the optical system; an imaging element that is disposed at a position offset from the imaging plane of the optical system and that images light that passes through the microlens array; a mask image storage unit that stores a plurality of mask images generated for each type of defect or each defect direction; and a calculation unit that carries out mask processing on an image obtained from the imaging element using the plurality of mask images and carries out defect detection processing.

Abstract: Provided is a traffic safety support system capable of improving traffic safety in a situation in which a mobile body has merged onto a road on which a mobile vehicle as a host vehicle is traveling and is approaching the host vehicle. A traffic safety support system includes a recognizer, a HMI, a risk notification setting unit, and a risk notification control device. The risk notification setting unit sets a notification mode to a hinting notification mode in a case where a motorcycle acts as an oncoming vehicle and a first travel path of a four-wheeled automobile and a second travel path of the motorcycle join, and sets the notification mode to an analogue notification mode in a case where the motorcycle is present within an analogue notification actuation range.

Abstract: A traffic safety support system 1 includes mobile terminals that move with traffic participants in a target traffic area, and a coordination support device 6 capable of communicating with the mobile terminals. Each of the mobile terminals includes a notification device configured to make a risk notification in a hinting notification mode or in an analogue notification mode. The coordination support device includes a target area recognizer 60 configured to recognize recognition targets including the traffic participants and traffic environments and acquire recognition information, a predictor 62 configured to predict a risk in future of prediction targets that are a plurality of traffic participants in a monitoring area that is part of the target traffic area, and a risk notification specifier 64 configured to set an operation manner of risk notification for each of support targets on the basis of the recognition information and a prediction result.

Abstract: Provided is a traffic safety support system capable of improving traffic safety in a situation in which it is predicted that a mobile body other than a host vehicle is shielded by a nearby vehicle present near the mobile body. A traffic safety support system includes a recognizer, a HMI, a risk notification setting unit, and a risk notification control device. The risk notification setting unit sets a notification mode to a hinting notification mode in a case where a motorcycle acts as an oncoming mobile body, and where a four-wheeled automobile is present near the motorcycle and is approaching a four-wheeled automobile from the front in the traveling direction of the four-wheeled automobile, and sets the notification mode to an analogue notification mode in a case where the motorcycle is present within an analogue notification range.

Abstract: A traffic safety support system includes a target traffic area recognizer configured to acquire recognition information regarding traffic participants, and the like, in a target traffic area, a predictor 62 configured to predict a risk in the target traffic area on the basis of the recognition information, and a coordination support information notifier 65 configured to transmit coordination support information to support targets. The predictor 62 includes an area risk predictor 620 configured to extract a high risk area from a plurality of local areas obtained by subdividing the target traffic area on the basis of information obtained by performing statistical processing on the recognition information, and a traffic participant risk predictor 625 configured to predict a risk in future of traffic participants in the high risk area on the basis of information related to the high risk area among the recognition information.

Abstract: Provided is a traffic safety support system capable of improving traffic safety in a situation in which it is predicted that a mobile body will approach a host vehicle from the front or the rear. A traffic safety support system includes a recognizer, a HMI, a risk notification setting unit, and a risk notification control device. The risk notification setting unit sets a notification mode to a hinting notification mode in a case where a motorcycle is present outside an analogue notification actuation range and acts as an oncoming mobile body or acts as a following mobile body, and the risk notification setting unit sets the notification mode to an analogue notification mode in a case where the motorcycle is present within the analogue notification actuation range.

Abstract: A method, an apparatus, and a program for more appropriately determining a condition for appropriately recognizing a semiconductor pattern are provided. A method for determining a condition related to a captured image of a charged particle beam apparatus including: acquiring, by a processor, a plurality of captured images, each of the captured images being an image generated by irradiating a pattern formed on a wafer with a charged particle beam, and detecting electrons emitted from the pattern, each of the captured images being an image captured according to one or more imaging conditions, the method further including: acquiring teaching information for each of the captured images; acquiring, by the processor, one or more feature determination conditions; calculating, by the processor, a feature for each of the captured images based on each of the feature determination conditions, at least one of the imaging condition and the feature determination condition being plural.

Abstract: In learning processing performed before sample observation processing (steps S705 to S708), the sample observation device acquires a low-picture quality learning image under a first imaging condition for each defect position indicated by defect position information, determines an imaging count of a plurality of high-picture quality learning images associated with the low-picture quality learning image for each defect position and a plurality of imaging points based on a set value of the imaging count, acquires the plurality of high-picture quality learning images under a second imaging condition (step S702), learns a high-picture quality image estimation model using the low-picture quality learning image and the plurality of high-picture quality learning images (step S703), and adjusts a parameter related to the defect detection in the sample observation processing using the high-picture quality image estimation model (step S704).

Abstract: A charged particle beam device 1 includes: a plurality of detectors 7 for detecting a signal particle 9 emitted from a sample 8 irradiated with a charged particle beam 3 and converting the detected signal particle 9 into an output electrical signal 17; an energy discriminator 14 provided for each detector 7 and configured to discriminate the output electrical signal 17 according to energy of the signal particle 9; a discrimination control block 21 for setting an energy discrimination condition of each of the energy discriminators 14; and an image calculation block 22 for generating an image based on the discriminated electrical signal. The discrimination control block 21 sets energy discrimination conditions different from each other among the plurality of energy discriminators 14.

Abstract: A control device acquire person information that is information unique to person, specify ability information that is information indicating ability of the person indicated by the acquired person information, and output the specified ability information to a predetermined output device.

Abstract: An information providing device according to an aspect of the present disclosure includes: at least one memory; and at least one processor configured to execute instructions to: generate, based on measurement data, three-dimensional information of a space in which a wearable terminal is present, the measurement data being measured by a sensor of the wearable terminal; and transmit provision information based on the three-dimensional information to the wearable terminal.

Abstract: An ambulance service support device receives biological information to be used for personal identification of a person to be transported. The ambulance service support device identifies, using a database storing personal medical information, the personal medical information of the person to be transported by using the acquired biological information. The personal medical information is personal information regarding medical care including the biological information. The ambulance service support device outputs emergency support information obtained from the identified personal medical information.

Abstract: There is provided a system for managing sharing of a straddle type vehicle, including a position locating unit provided on the straddle type vehicle and configured to locate a position of the straddle type vehicle, a position acquisition unit configured to acquire a position of a peripheral vehicle from the peripheral vehicle present around the straddle type vehicle, and a determination unit configured to determine a parking position at which the straddle type vehicle is parked based on the position of the straddle type vehicle located by the position locating unit and the position of the peripheral vehicle acquired by the position acquisition unit when the straddle type vehicle is parked.

Abstract: A sample observation device images a sample placed on a movable table by irradiating and scanning the sample with a charged particle beam of a microscope. A degraded image having poor image quality and a high quality image having satisfactory image quality which are acquired at the same location of the sample by causing the charged particle microscope to change an imaging condition for imaging the sample are stored. An estimation process parameter is calculated for estimating the high quality image from the degraded image by using the stored degraded image and high quality image. A high quality image estimation unit processes the degraded image obtained by causing the charged particle microscope to image the desired site of the sample by using the calculated estimation process parameter. Thereby, the high quality image obtained at the desired site is estimated, and then the estimated high quality image is output.