Abstract: A reinforcement information adjustment unit reduces an amount of information in reinforcement information by combining: update cycle adjustment processing to set an update cycle of the reinforcement information to be an integer multiple of a predetermined update cycle; geographic interval error value adjustment processing to reduce the number of geographic interval error values by selecting from among a plurality of the geographic interval error values each of which is an error at every predetermined geographic interval out of a plurality of error values, a geographic interval error value at every geographic interval that is an integer multiple of the predetermined geographic interval; and bit count adjustment processing to reduce a bit count of the error value for each error value. A reinforcement information output unit outputs, to an output destination, reinforcement information after being reduced in the amount of information by the reinforcement information adjustment unit.

Abstract: A reinforcement information adjustment unit reduces an amount of information in reinforcement information by combining: update cycle adjustment processing to set an update cycle of the reinforcement information to be an integer multiple of a predetermined update cycle; geographic interval error value adjustment processing to reduce the number of geographic interval error values by selecting from among a plurality of the geographic interval error values each of which is an error at every predetermined geographic interval out of a plurality of error values, a geographic interval error value at every geographic interval that is an integer multiple of the predetermined geographic interval; and bit count adjustment processing to reduce a bit count of the error value for each error value. A reinforcement information output unit outputs, to an output destination, reinforcement information after being reduced in the amount of information by the reinforcement information adjustment unit.

Abstract: An augmentation information adjustment unit (102) reduces an amount of information in augmentation information by combining: update cycle adjustment processing (1021) to set an update cycle of the augmentation information to be an integer multiple of a predetermined update cycle; geographic interval error value adjustment processing (1022) to reduce the number of geographic interval error values by selecting from among a plurality of the geographic interval error values each of which is an error at every predetermined geographic interval out of a plurality of error values, a geographic interval error value at every geographic interval that is an integer multiple of the predetermined geographic interval; and bit count adjustment processing (1023) to reduce a bit count of the error value for each error value.

Abstract: An augmentation information adjustment unit (102) reduces an amount of information in augmentation information by combining: update cycle adjustment processing (1021) to set an update cycle of the augmentation information to be an integer multiple of a predetermined update cycle; geographic interval error value adjustment processing (1022) to reduce the number of geographic interval error values by selecting from among a plurality of the geographic interval error values each of which is an error at every predetermined geographic interval out of a plurality of error values, a geographic interval error value at every geographic interval that is an integer multiple of the predetermined geographic interval; and bit count adjustment processing (1023) to reduce a bit count of the error value for each error value.

Abstract: A reinforcement information adjustment unit reduces an amount of information in reinforcement information by combining: update cycle adjustment processing to set an update cycle of the reinforcement information to be an integer multiple of a predetermined update cycle; geographic interval error value adjustment processing to reduce the number of geographic interval error values by selecting from among a plurality of the geographic interval error values each of which is an error at every predetermined geographic interval out of a plurality of error values, a geographic interval error value at every geographic interval that is an integer multiple of the predetermined geographic interval; and bit count adjustment processing to reduce a bit count of the error value for each error value. A reinforcement information output unit outputs, to an output destination, reinforcement information after being reduced in the amount of information by the reinforcement information adjustment unit.

Abstract: A reinforcement information adjustment unit reduces an amount of information in reinforcement information by combining: update cycle adjustment processing to set an update cycle of the reinforcement information to be an integer multiple of a predetermined update cycle; geographic interval error value adjustment processing to reduce the number of geographic interval error values by selecting from among a plurality of the geographic interval error values each of which is an error at every predetermined geographic interval out of a plurality of error values, a geographic interval error value at every geographic interval that is an integer multiple of the predetermined geographic interval; and bit count adjustment processing to reduce a bit count of the error value for each error value. A reinforcement information output unit outputs, to an output destination, reinforcement information after being reduced in the amount of information by the reinforcement information adjustment unit.

Abstract: An apparatus and method generating a road image including no features such as trees and tunnels hiding or covering a road surface. A mobile measuring apparatus installed in a vehicle may acquire a distance and orientation point cloud, a camera image, GPS observation information, a gyro measurement value, and an odometer measurement value, while moving in a target area. The position and attitude localizing apparatus may localize the position and attitude of the vehicle based on the GPS observation information, the gyro measurement value and the odometer measurement value. The point cloud generating apparatus may generate a point cloud based on the camera image, the distance and orientation point cloud, and a position and attitude localized value.

Abstract: It is an object to measure a position of a feature around a road. An image memory unit stores images in which neighborhood of the road is captured. Further, a three-dimensional point cloud model memory unit 709 stores a point cloud showing three-dimensional coordinates obtained by laser measurement which is carried out simultaneously to the image-capturing of the images as a road surface shape model. Using an image point inputting unit 342, a pixel on a feature of a measurement target is specified by a user as a measurement image point. A neighborhood extracting unit 171 extracts a point which is located adjacent to the measurement image point and superimposed on the feature for the measurement target from the point cloud. A feature position calculating unit 174 outputs three-dimensional coordinates shown by the extracted point as three-dimensional coordinates of the feature for the measurement target.

Abstract: It is an object to measure a position of a feature around a road. An image memory unit stores images in which neighborhood of the road is captured. Further, a three-dimensional point cloud model memory unit 709 stores a point cloud showing three-dimensional coordinates obtained by laser measurement which is carried out simultaneously to the image-capturing of the images as a road surface shape model. Using an image point inputting unit 342, a pixel on a feature of a measurement target is specified by a user as a measurement image point. A neighborhood extracting unit 171 extracts a point which is located adjacent to the measurement image point and superimposed on the feature for the measurement target from the point cloud. A feature position calculating unit 174 outputs three-dimensional coordinates shown by the extracted point as three-dimensional coordinates of the feature for the measurement target.

Abstract: It is an object to measure a position of a feature around a road. An image memory unit stores images in which neighborhood of the road is captured. Further, a three-dimensional point cloud model memory unit 709 stores a point cloud showing three-dimensional coordinates obtained by laser measurement which is carried out simultaneously to the image-capturing of the images as a road surface shape model. A model projecting unit 172 projects a point cloud on the image, and an image displaying unit 341 displays the point cloud superimposed with the image on the displaying device. Using an image point inputting unit 342, a pixel on a feature of a measurement target is specified by a user as a measurement image point. A neighborhood extracting unit 171 extracts a point which is located adjacent to the measurement image point and superimposed on the feature for the measurement target from the point cloud.

Abstract: It is an object to measure a position of a feature around a road. An image memory unit stores images in which neighborhood of the road is captured. Further, a three-dimensional point cloud model memory unit 709 stores a point cloud showing three-dimensional coordinates obtained by laser measurement which is carried out simultaneously to the image-capturing of the images as a road surface shape model. Using an image point inputting unit 342, a pixel on a feature of a measurement target is specified by a user as a measurement image point. A neighborhood extracting unit 171 extracts a point which is located adjacent to the measurement image point and superimposed on the feature for the measurement target from the point cloud. A feature position calculating unit 174 outputs three-dimensional coordinates shown by the extracted point as three-dimensional coordinates of the feature for the measurement target.

Abstract: It is an object to measure a position of a feature around a road. An image memory unit stores images in which neighborhood of the road is captured. Further, a three-dimensional point cloud model memory unit 709 stores a point cloud showing three-dimensional coordinates obtained by laser measurement which is carried out simultaneously to the image-capturing of the images as a road surface shape model. Using an image point inputting unit 342, a pixel on a feature of a measurement target is specified by a user as a measurement image point. A neighborhood extracting unit 171 extracts a point which is located adjacent to the measurement image point and superimposed on the feature for the measurement target from the point cloud. A feature position calculating unit 174 outputs three-dimensional coordinates shown by the extracted point as three-dimensional coordinates of the feature for the measurement target.

Abstract: An objective is to provide a road image including no features such as trees and tunnels hiding or covering a road surface. A mobile measuring apparatus 200 installed in a vehicle may acquire a distance and orientation point cloud 291, a camera image 292, GPS observation information 293, a gyro measurement value 294, and an odometer measurement value 295, while moving in a target area. The position and attitude localizing apparatus 300 may localize the position and attitude of the vehicle based on the GPS observation information 293, the gyro measurement value 294 and the odometer measurement value 295. The point cloud generating apparatus 400 may generate a point cloud 491 based on the camera image 292, the distance and orientation point cloud 291, and a position and attitude localized value 391.

Abstract: It is an object to measure a position of a feature around a road. An image memory unit stores images in which neighborhood of the road is captured. Further, a three-dimensional point cloud model memory unit 709 stores a point cloud showing three-dimensional coordinates obtained by laser measurement which is carried out simultaneously to the image-capturing of the images as a road surface shape model. A model projecting unit 172 projects a point cloud on the image, and an image displaying unit 341 displays the point cloud superimposed with the image on the displaying device. Using an image point inputting unit 342, a pixel on a feature of a measurement target is specified by a user as a measurement image point. A neighborhood extracting unit 171 extracts a point which is located adjacent to the measurement image point and superimposed on the feature for the measurement target from the point cloud.

Abstract: A form identification method which can identify forms without errors even if a form is inputted from a scanner in different direction or the form is enlarged/shrunk. A form registration method which enables change/modification of forms when form types are pre-registered. Inputted points as features are extracted from the form, modification of enlargement/shrinkage, rotation, or skew is made to the inputted points. Form types are identified based on minimum distances between the inputted point and pre-registered dictionary points. When registering a similar form type, warning can be displayed on the screen. In a system a dictionary registration station, a form identification station, and a form edit station are connected via a communication network. Each station operates in interlocking manner, identifies inputted forms, and registers them into a dictionary.

Abstract: An actuator of the present invention comprises an operation key 2 to be inserted into a key insertion hole formed in the safety switch, and a base 3. The operation key 2 is held on the base 3 and capable of freely swinging in two orthogonal directions. The actuator also comprises means (e.g. a guide stopper 4 and engagement spaces 34) for selectively restricting the swinging movement of the operation key 2 to either of the two directions.

Abstract: A form identification method which can identify forms without errors even if a form is inputted from a scanner in different direction or the form is enlarged/shrunk. A form registration method which enables change/modification of forms when form types are pre-registered. Inputted points as features are extracted from the form, modification of enlargement/shrinkage, rotation, or skew is made to the inputted points. Form types are identified based on minimum distances between the inputted point and pre-registered dictionary points. When registering a similar form type, warning can be displayed on the screen. In a system a dictionary registration station, a form identification station, and a form edit station are connected via a communication network. Each station operates in interlocking manner, identifies inputted forms, and registers them into a dictionary.

Abstract: A character reading method has enhanced character segmentation accuracy and character string recognition accuracy for reading correctly hand-written addresses on postal matters. The method extracts provisional character patterns from image information of the address character string (step 206), creates a table 219 of tentative character patterns and implements the character classification for the tentative character patterns (step 207), extracts, specifically for characters of the street number portion of the address character string, periphery information (vertical and horizontal lengths, vertical/horizontal length ratio, pattern spacings, etc.) of tentative character patterns (step 212), and segments the character string into characters accurately based on the information (step 215).

Abstract: In an apparatus for and a method of processing document information, according to a requirement of a writer of document information, the document information is generated, referenced, and re-constructed. Further, according to a requirement of a reader of the document information, the information is referenced and re-constructed. The apparatus includes a reader terminal including means for inputting a requirement of a reader of document information and means for outputting document information referenced and re-constructed according to the requirement, and a writer terminal for inputting therefrom a requirement of a writer of document information and creating document information. The apparatus further includes a document processing unit connected to the reader terminal and the writer terminal.

Abstract: A character recognition method is arranged to supplement an erroneously recognized character with a linguistic knowledge. In this method, the extraction of a candidate based on the search of a word dictionary occupies a large part of the operation. To speed up the extraction of a candidate word, therefore, the method is provided to search the dictionary by using a group of candidate characters or a dictionary header for processing an inflected form of a verb. Further, the present method is provided for calculating a word matching cost for improving an efficiency of modifying an erroneous recognition. The word search is done by using a "hybrid method" arranged of "candidate-character-driven word extraction" and "dictionary-driven word extraction". Moreover, the word-dictionary is arranged to have a header word composed of an inflectional ending of a verb and an auxiliary verb or a particle added to the tail of the inflectional ending.