Abstract: In an abnormality detection method for detecting an abnormality in vehicle behaviors based on an abnormality degree indicating a degree of difference between first driving information representing a vehicle behavior undergoing abnormality detection and second driving information obtained when no abnormality is found in a travel environment, an abnormality threshold is estimated using an abnormality degree distribution generated from a set of preaccumulated abnormality degrees. The abnormality threshold is an abnormality degree allowing a probability of erroneous determination as to presence or absence of an abnormality to be a predefined probability. Further, in the abnormality detection method, it is detected whether an abnormality is found in the vehicle behavior by comparing the abnormality degree for the first driving information and the estimated abnormality threshold.

Abstract: A server device includes: a data collection unit that collects vehicle behavior data; a scene extraction unit that extracts, from the collected vehicle behavior data, driving scenes corresponding to the behavior of the vehicle and a scene feature amount of each of the driving scenes; an abnormality detection unit that calculates a degree of abnormality which represents an extent of deviation of the scene feature amount of each of the extracted driving scenes relative to a driving model, and detects a driving scene including a location of an abnormality using the calculated degree of abnormality; a section determination unit that extracts driving scenes satisfying a predetermined condition from among the detected driving scene and a plurality of driving scenes continuous to the driving scene, and determines, as an abnormal behavior section, a time range defined by the total continuation time of the extracted driving scenes; an image request unit that requests, from the vehicle, one or more captured images acco

Abstract: In an accident pattern determination apparatus including a storage storing attributes assigned to respective ones of a plurality of predefined traffic situations, an acquirer acquires, for each of vehicle-related accident cases, an accident pattern that is a combination of traffic situations in the accident case, from the plurality of predefined traffic situations. A determiner determines, for each accident pattern acquired by the acquirer, whether the accident pattern is an accident pattern of high accident risk or an accident pattern of low accident risk for specific vehicles, based on the accident patterns acquired for the respective accident cases and the attributes assigned to respective ones of the plurality of predefined traffic situations.

Abstract: A server device includes: a data collection unit that collects vehicle behavior data; a scene extraction unit that extracts, from the collected vehicle behavior data, driving scenes corresponding to the behavior of the vehicle and a scene feature amount of each of the driving scenes; an abnormality detection unit that calculates a degree of abnormality which represents an extent of deviation of the scene feature amount of each of the extracted driving scenes relative to a driving model, and detects a driving scene including a location of an abnormality using the calculated degree of abnormality; a section determination unit that extracts driving scenes satisfying a predetermined condition from among the detected driving scene and a plurality of driving scenes continuous to the driving scene, and determines, as an abnormal behavior section, a time range defined by the total continuation time of the extracted driving scenes; an image request unit that requests, from the vehicle, one or more captured images acco

Abstract: In an abnormality detection method for detecting an abnormality in vehicle behaviors based on an abnormality degree indicating a degree of difference between first driving information representing a vehicle behavior undergoing abnormality detection and second driving information obtained when no abnormality is found in a travel environment, an abnormality threshold is estimated using an abnormality degree distribution generated from a set of preaccumulated abnormality degrees. The abnormality threshold is an abnormality degree allowing a probability of erroneous determination as to presence or absence of an abnormality to be a predefined probability. Further, in the abnormality detection method, it is detected whether an abnormality is found in the vehicle behavior by comparing the abnormality degree for the first driving information and the estimated abnormality threshold.

Abstract: A tomographic-image pickup unit is controlled so as to capture a tomographic image in response to a signal input from a signal input unit. Then, a display unit is controlled so as to display the captured tomographic image. An eyeground-image pickup unit is controlled so as to capture a two-dimensional image in response to a signal input from the signal input unit while the tomographic image is displayed on the display unit. Therewith, the user can more easily perform imaging, and the time load on the subject is reduced.

Abstract: An article dispensing apparatus includes: an article discharging apparatus including a lower pedal and an upper pedal; an out-of-stock detection switch configured to: be turned to a first state when the lower pedal is turned to a second standby attitude; and be turned to a second state when the lower pedal is turned to any attitude other than the second standby attitude; and a controller configured to determine that an article has been dispensed from an article storage passage by the fact that the out-of-stock detection switch is turned to the first state when the article discharging apparatus is driven.

Abstract: The present invention provides an ophthalmologic apparatus that includes an acquiring unit that acquires a tomographic image of a fundus of an eye to be inspected, and a display control unit that controls a display unit to display, in a state of corresponding to the acquired image, a comparison area corresponding to another tomographic image to be compared with the acquired tomographic image.

Abstract: In a driving-state data storage apparatus, a collector collects, from each of vehicles on a target travelling road, a value of data indicative of a driving state of the corresponding vehicle to correspondingly obtain driving-state data values for the target road. A data allocator divides, based on similarity among the driving-state data values, the target traveling road into a plurality of traveling segments, and extracts, from the driving-state data values, data values for each of the divided travelling segments. The data values extracted for each of the travelling segments are similar to each other. The data allocator allocates a distribution of the extracted data values for each of the divided travelling segments to the corresponding one of the divided travelling segments as a feature distribution. A storage unit stores the feature distribution allocated for each of the travelling segments.

Abstract: In a location estimation device, a change detection unit detects a point of change in the width of a roadside structure as a width change point. A width correction unit calculates a width deviation between a first relative location of the roadside structure on a map data segment and a second relative location of the roadside structure obtained based on shape information of the roadside structure in the width direction of a vehicle. The width correction unit corrects, as a function of the width deviation and a positional accuracy of the vehicle in the travelling direction, an estimated location of the vehicle in the width direction when it is determined that there is the point of change in the width of the roadside structure in the travelling direction of the vehicle.

Abstract: In an anomaly detection apparatus mounted in a vehicle, a model storage stores a driving model which is set corresponding to a travel location of the vehicle traveling on a roadway and represents a normal driving state as the vehicle is traveling at the travel location. A data acquirer acquires driving performance data representing the driving state of the vehicle. A degree-of-anomaly calculator calculates a degree of anomaly in the driving state based on the driving model stored in the model storage and the driving performance data acquired by the data acquirer. A vehicle-mounted transmitter, if the degree of anomaly calculated by the degree-of-anomaly calculator exceeds an anomaly determination value for determining the presence of an anomaly in the driving state, transmits at least the degree of anomaly and the travel location corresponding to the degree of anomaly to a monitoring center located external to the vehicle and detects an anomaly in the road condition based on the degree of anomaly.

Abstract: In an anomaly detection apparatus mounted in a vehicle, a model storage stores a driving model which is set corresponding to a travel location of the vehicle traveling on a roadway and represents a normal driving state as the vehicle is traveling at the travel location. A data acquirer acquires driving performance data representing the driving state of the vehicle. A degree-of-anomaly calculator calculates a degree of anomaly in the driving state based on the driving model stored in the model storage and the driving performance data acquired by the data acquirer. A vehicle-mounted transmitter, if the degree of anomaly calculated by the degree-of-anomaly calculator exceeds an anomaly determination value for determining the presence of an anomaly in the driving state, transmits at least the degree of anomaly and the travel location corresponding to the degree of anomaly to a monitoring center located external to the vehicle and detects an anomaly in the road condition based on the degree of anomaly.

Abstract: An optical tomographic imaging apparatus includes a first lens having a first focal length, a second lens having a second focal length longer that the first focal length, a scanning unit disposed at a focal position of the second lens, and an optical path branching unit disposed between the first and second lenses. An observation optical path located on a transmission optical path of the optical path branching unit, and an optical path of measurement light located on a reflection optical path of the optical path branching unit. The second lens is disposed on the optical path of the measurement light between the first lens and the scanning unit, such that an angle at which the measurement light scanned by the scanning unit is incident on the optical path branching unit is maintained substantially unchanged during scanning.

Abstract: A method and apparatus for driving assisting provided with an ECU which includes an extraction unit extracting a shape and a distribution of a landmark on a plurality of routes leading to a destination on a map, an accuracy calculation unit calculating an estimated accuracy of a vehicle position at each sampling point positioned at predetermined intervals on each route, on the basis of the shape and distribution of each landmark, an operating ratio calculation unit calculating an operating ratio of a driving assistance control on each of the routes, on the basis of the calculated accuracy at each sampling point, and a route selection unit which enables a driver of the vehicle to select a route among the plurality of routes, after the calculated operating ratio is presented to the driver.

Abstract: An ophthalmologic examination apparatus capable of accurately discriminating a boundary between layers indicated by an operator (user) among boundaries of an object to be inspected, when the operator manually changes a position of information designating boundary of layers includes: an acquiring unit configured to acquire a tomographic image of an object to be inspected; a display control unit configured to cause a display unit to display the tomographic image and information designating boundary of layers in the tomographic image; and an adjustment unit configured to adjust, in a case where a boundary of layers is indicated in the displayed information, contrast of the tomographic image such that a brightness difference between layers corresponding to the indicated boundary in the tomographic image becomes large.

Abstract: In a location estimation device, a change detection unit detects a point of change in the width of a roadside structure as a width change point. A width correction unit calculates a width deviation between a first relative location of the roadside structure on a map data segment and a second relative location of the roadside structure obtained based on shape information of the roadside structure in the width direction of a vehicle. The width correction unit corrects, as a function of the width deviation and a positional accuracy of the vehicle in the travelling direction, an estimated location of the vehicle in the width direction when it is determined that there is the point of change in the width of the roadside structure in the travelling direction of the vehicle.

Abstract: In a driving-state data storage apparatus, a collector collects, from each of vehicles on a target travelling road, a value of data indicative of a driving state of the corresponding vehicle to correspondingly obtain driving-state data values for the target road. A data allocator divides, based on similarity among the driving-state data values, the target traveling road into a plurality of traveling segments, and extracts, from the driving-state data values, data values for each of the divided travelling segments. The data values extracted for each of the travelling segments are similar to each other. The data allocator allocates a distribution of the extracted data values for each of the divided travelling segments to the corresponding one of the divided travelling segments as a feature distribution. A storage unit stores the feature distribution allocated for each of the travelling segments.

Abstract: A vehicle includes a body, a first battery set, a first accessory device, a second battery set, a second accessory device, a load device, and connecting wires. The first battery set is installed in the body and includes at least one first series unit including a predetermined number of battery cells connected in series. The first accessory device is installed in the body and connected to the first battery set. The second battery set is installed in the body and includes at least one second series unit including a predetermined number of battery cells connected in series. The second accessory device is installed in the body and connected to the second battery set. The load device is installed in the body and connected to the first battery set via the first accessory device and to the second battery set via the second accessory device.

Abstract: An article dispensing apparatus includes: an article discharging apparatus including a lower pedal and an upper pedal; an out-of-stock detection switch configured to: be turned to a first state when the lower pedal is turned to a second standby attitude; and be turned to a second state when the lower pedal is turned to any attitude other than the second standby attitude; and a controller configured to determine that an article has been dispensed from an article storage passage by the fact that the out-of-stock detection switch is turned to the first state when the article discharging apparatus is driven.

Abstract: In a mobile vehicle 1 having a vehicle body 2, a front wheel 3f, and a rear wheel 3r, the steering control wheel 3f can be steered by a steering actuator 8 about a steering axis Csf which is tilted backward. The steering actuator 8 is controlled by a control device 15. The height a, from a ground surface 110, of the intersection point Ef of the steering axis Csf of the steering control wheel 3f and a virtual straight line connecting the ground contact point of the steering control wheel 3f and the center of axle of the steering control wheel 3f in a basic posture state of the mobile vehicle 1 is set to satisfy a prescribed condition.