Abstract: There is provided an information processing apparatus including an acquisition control unit configured to acquire information on function extension from an external object, the information on the function extension including attribute information indicating a function of a device and connection information relating to a connection to the device, and a function control unit configured to extend a function of the information processing apparatus based on the acquired attribute information, connect to a device corresponding to the extended function based on the acquired connection information, and enable the extended function.

Abstract: A composition that is useful in a skin function improving agent includes at least a sapogenol, and a collagen hydrolysate. This composition can be used in a skin function improving agent and is particularly useful in a skin function improving agent for inhibiting transdermal moisture loss and/or for retaining the moisture in the stratum corneum.

Abstract: An in-vehicle system as a road curvature detection device calculates a curvature of a road in front of a vehicle based on an acquired front scene image. The in-vehicle system receives gradient information from the data map. The gradient information corresponds to a current road section on the road on which the vehicle drives. The in-vehicle system detects a gradient accuracy of the received gradient information. When the current road section has a gradient, i.e. the road is an uphill or downhill road, the in-vehicle system selects an appropriate special detection methods based on the gradient accuracy of the received gradient information, and calculates a road curvature by using the selected special detection method. Each of the special detection methods calculates a road curvature while effectively suppressing influence of a road gradient indicated by the received gradient information.

Abstract: In a travelling road estimating apparatus, an estimator estimates, based on the coordinates of at least one of edge points included in a selected candidate, a road parameter using a previously prepared filter having an adjustable response level. The road parameter is associated with a condition of the travelling road relative to the vehicle and a shape of the travelling road. A determiner determines whether there is an unstable situation that causes an accuracy of estimating the edge points by an edge extractor to be reduced. A response level adjuster adjusts the response level of the filter in accordance with determination of whether there is an unstable situation that causes an accuracy of estimating the edge points by the edge extractor to be reduced.

Abstract: In a boundary line recognition apparatus, based on luminance levels of an image captured by a camera, candidate edge points of a boundary line sectioning a travel road are extracted, and a candidate line of the boundary line is extracted. An apparent width of the candidate line on an image is calculated, from a width of the candidate line in a horizontal direction of the image and an angle of the candidate line relative to a vertical direction of the image. A probability of a candidate line being a boundary line is calculated to be higher, as a degree of the candidate line having characteristics as a boundary line is higher. The calculated probabilities are integrated in respect of a plurality of characteristics to recognize a boundary line. The characteristics include a ratio of the calculated apparent width to an image blur degree is larger than a predetermined value.

Abstract: A traveling path estimation apparatus includes a calculation section that calculates a traveling marking line marking a lane of a road, on which a vehicle runs, based on a front image acquired by a camera mounted in the vehicle, an estimation section that estimates road parameters including a curvature and a curvature change rate of the lane, the estimation section estimating the road parameters at current time based on the traveling marking line calculated by the calculation section and the road parameters previously estimated, a determination section that determines departure of the vehicle from a curve of the lane, and a reset section that, when the determination section determines the departure of the vehicle, resets at least the curvature change rate included in the road parameters previously estimated by the estimation section.

Abstract: A state estimation apparatus for estimating, based on an output of an image sensor, an estimated value of an estimation target using a Kalman filter extracts, from the output of the image sensor, an observation to the Kalman filter. The state estimation apparatus also obtains, from the output of a vehicular motion sensor that is different from the image sensor, a time update input related to the state of the estimation target. The time update input is used by the Kalman filter. The state estimation apparatus obtains, based on the observation and the time update input, the estimated value of the state of the estimation target using the Kalman filter. The Kalman filter is comprised of system noise to which a previously defined correction has been added. The previously defined correction addresses variations of an error in the vehicular motion sensor.

Abstract: In an apparatus for recognizing a lane partition line, a pre-branch section setting unit sets a pre-branch section of a road on which an own vehicle is traveling. The pre-branch section extends a section length from a start line that is positioned closer to the own vehicle than a branch location by an offset distance in a traveling direction of the own vehicle. A determination unit determines whether or not a geographical location of the own vehicle is within the pre-branch section. If it is determined that the geographical location of the own vehicle is within the pre-branch section, a recognition unit suppresses recognition of the lane partition line on an diverging road side of the road on which the own vehicle is traveling. The diverging road is another road branching off from the road on which the vehicle is traveling at the branch location.

Abstract: In an example embodiment, may be embodied in a data analysis apparatus comprises a control unit configured to provide data representative of a three dimensional image, the three dimensional image including at least a three dimensional coordinate space which includes at least one plane that divides the three dimensional coordinate space into at least two regions, a display unit configured to produce the three dimensional image based on the data representative of the three dimensional image, and an input unit configured to provide data representative of at least one of a movement and a position of the at least one plane. In other example embodiments, the present disclosure may be embodied in a data analysis server, a data analysis system, and/or a computer readable medium.

Abstract: An imaging device includes a first substrate, a second substrate, a plurality of connection nodes which electrically connect the first and second substrates, a pixel section arranged on the first substrate and including a plurality of pixels arranged in a matrix form, the plurality of pixels outputting pixel signals according to incident light, a row signal generation circuit arranged on the first substrate or the second substrate and configured to generate row selection signals, a column signal generation circuit arranged on the first substrate and configured to generate column-scanning signals, a block of column-scanning circuits arranged on the first substrate and which sequentially outputs the pixel signals output to every row from the pixels by scanning the columns according to the column-scanning signals, to every column, and a signal-processing circuit arranged on the second substrate and configured to process the pixel signals output from the block of column-scanning circuits.

Abstract: A driving area recognition device has an image acquiring section for acquiring image data transmitted from an in-vehicle monocular camera and an extraction section for extracting, from the acquired image data, edge points in boundary parts arranged at both the right side and the left side of a driving area of a vehicle. The device further has a setting section for setting plural provisional areas as candidates of the driving area so that at least a part of each of the plural provisional areas is overlapped together, a calculation section for calculating the number of edge points in each of the plural provisional areas, and a recognition section for recognizing the driving area based on the plural provisional areas and the number of edge points in each of the plural provisional areas.

Abstract: An apparatus for recognizing lane partition lines on opposite sides of a traveling lane of a vehicle based on a forward image captured by a camera mounted in the vehicle. In the apparatus, an allowable range limiter is configured to, based on a learned value of a lane width learned by a lane width learner, limit allowable ranges for the respective lane partition lines, where in the allowable ranges the respective lane partition lines are allowed to be detected in the forward image. A lane change determiner is configured to determine whether or not there is a lane change made by the vehicle. The allowable range limiter is further configured to, if it is determined by the lane change determiner that there is a lane change, enlarge at least one of the allowable ranges limited by the allowable range limiter based on the learned value of the lane width.

Abstract: A compressed image data transmitting device includes a compression unit dividedly reading captured image data from an image capturing element a plurality of times and performing a compression process on the captured image data to generate compressed image data; a determining unit determining whether a compressed image data occupancy ratio is equal to or larger than a predetermined threshold value; and a control unit instructing the compression unit to stop reading the captured image data when the compressed image data occupancy ratio is equal to or larger than the predetermined threshold value. When the captured image data which has not been read from the compression unit is present in the image capturing element, the control unit instructs the image capturing element not to perform the image capturing, and subsequently instructs the image capturing element to perform the image capturing operation after the above-mentioned captured image data is no longer present.

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: A lane boundary line recognition apparatus acquires an image. Based on edge points extracted from the image, a lane boundary line candidate is extracted, and a lane boundary line probability thereof is calculated. A lane boundary line candidate of which the lane boundary line probability exceeds a threshold is recognized. As the threshold, a first threshold, larger than a second threshold in normal mode, is set when a first condition is met and also a second condition is met. The first condition is that a single lane boundary line is recognized on a roadside side of a lane in which the own vehicle is traveling, and a composite lane boundary line is recognized on a side opposite the roadside side. The second condition is that a state in which a lane boundary line cannot be recognized on at least the opposite side continues for a predetermined amount of time.

Abstract: A vehicle location recognition device has a correction unit for correcting a position of an own vehicle detected by a vehicle position estimation unit. The correction unit corrects the position of the own vehicle so as to reduce a difference in position between a position of a road object detected by a sensor and a position of a map road object contained in map road object information stored in a memory unit. When there are plural combinations of road objects detected by the sensor and map road objects acquired from the map road object information, the correction unit uses a weight value to adjust a likelihood of each of the combinations, and corrects the position of the own vehicle based on the weighted likelihood. The weight value is increased according to increasing of a magnitude of the likelihood.

Abstract: The present disclosure relates to membrane assemblies, electrode assemblies and membrane-electrode assemblies; and electrochemical cells and liquid flow batteries produced therefrom. The disclosure further provides methods of making the membrane assemblies, electrode assemblies and membrane-electrode assemblies. The membrane assemblies includes an ion exchange membrane and at least one microporous protection layer. The electrode assemblies includes a porous electrode and a microporous protection layer. The membrane-electrode assembly includes an ion exchange membrane, at least one microporous protection layer and at least one porous electrode. The microporous protection layer includes a resin and at least one of an electrically conductive particulate and a non-electrically conductive particulate. The ratio of the weight of the resin to total weight of particulate is from about 1/99 to about 10/1. The resin may be at least one of an ionic resin and a non-ionic resin.

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 example embodiment, may be embodied in a data analysis apparatus comprises a control unit configured to provide data representative of a three dimensional image, the three dimensional image including at least a three dimensional coordinate space which includes at least one plane that divides the three dimensional coordinate space into at least two regions, a display unit configured to produce the three dimensional image based on the data representative of the three dimensional image, and an input unit configured to provide data representative of at least one of a movement and a position of the at least one plane. In other example embodiments, the present disclosure may be embodied in a data analysis server, a data analysis system, and/or a computer readable medium.

Abstract: In a road recognition apparatus mounted in a vehicle, a shape change point detector is configured to detect a shape change point along each of lane lines of an own lane. A turn-off lane determiner is configured to, if the shape change point is detected, determine whether or not a shape changing lane line that is one of the lane lines including the shape change point constitutes a border of a turn-off lane branching off from the own lane. A road recognizer is configured to, when the shape change point has been detected, use only feature points of the left and right lane lines of the own lane located within a distance from the own vehicle to the shape change point to recognize the shape of the own lane, before a result of determination by the turn-off lane determiner is produced.