Pioneer Corporation

Increment P Corporation

Tomoaki Iwai

Masahiro Kato

Kazufumi Fujiya

Manabu Nohara

Ryoji Noguchi

Yuji Tawaragi

Takayuki Akimoto

Tomoyuki Fujieda

Yusuke Soga

Koichi Ishitoya

Tetsuya Kawahara

Youko Fujita

The above measurement device acquires output data from a sensor unit for detecting surrounding feature, and extracts, from the output data, data corresponding to detection result in a predetermined range in a predetermined positional relation with an own position. The predetermined range is determined in accordance with accuracy of the own position. Then, the measurement device executes predetermined processing based on the extracted data.

Measurement device, measurement method and program

A self-position estimation device is mounted on a mobile body and acquires a predicted position of the mobile body. Additionally, the self-position estimation device calculates a difference value between a predicted position of an end point of a lane division line that is obtained based on information on the end point of the lane division line acquired from map information and a measured position of the end point of the lane division line measured in such a manner that a measurement unit mounted on the mobile body performs scanning with a light in a predetermined direction. The self-position estimation device estimates a self-position of the mobile body by correcting the predicted position with a value obtained by multiplying the difference value by a coefficient. Further, the self-position estimation device corrects the coefficient based on an interval of scanning positions of the measurement unit at a position where the end point of the lane division line is detected.

Self-position estimation device, self-position estimation method, program, and recording medium

The measurement device acquires output data from a sensor unit for detecting road surface lines around, and determines a predetermined range based on an own position and positional information of broken-line type road surface lines. Then, the measurement device extract, from the output data, data corresponding to detection result of the predetermined range, and executes predetermined processing based on the extracted data.

A measurement device includes a processor coupled to a memory storing instructions. The processor is configured to acquire positional information of a measurement object stored in a storage unit, acquire point group information of points indicating a surrounding feature acquired by an external sensor, output reliability of the positional information of the measurement object indicating a center position of the measurement object existing in a predetermined range based on the point group information of points existing in the predetermined range, the predetermined range being determined based on a position of a movable body, and estimate a movable body position based on the positional information of the measurement object and the center position of the measurement object, wherein the processor determines the center position by calculating an average value of the point group information existing in the predetermined range.

The measurement device acquires positional information of a measurement object stored in a storage unit, and acquires point group information of points indicating a surrounding feature acquired by an external sensor. Then, the measurement device calculates the positional information indicating a predetermined position of the measurement object existing in a predetermined range based on the point group information existing in the predetermined range, and outputs its reliability.

The object recognition device acquires external field information from by an external detection device arranged on a movable body, and acquires object position information indicating a position of an object existing around the movable body. Then, the object recognition device extracts prediction information, predicted to include information indicating the object, from the external field information based on the object position information, and recognizes the object based on the prediction information.

Object recognition device, object recognition method and program

An object of the present invention is to provide a degraded feature identification apparatus and the like that can identify a degraded feature from a large number of features. The present invention receives light emitted from a moving object and reflected by a feature, acquires reflection intensity data measured at the moving object, and identifies a degraded feature based on acquired reflection intensity data.

Degraded feature identification apparatus, degraded feature identification system, degraded feature identification method, degraded feature identification program, and computer-readable recording medium recording degraded feature identification program

An enhanced map information processing unitof a driving assistance deviceacquires from a determination unitinformation on surroundings of a vehicle which is needed to perform autonomous driving, and acquires from a server deviceenvironment information on surroundings of a route on which autonomous driving is performed. On the basis of the acquired environment information, the enhanced map information processing unitextracts, as an autonomous driving unsuitable location Pn, a location at which the accuracy of the acquirement of the sensor unitis predicted not to satisfy a standard for acquiring the information on the surroundings of the vehicle needed to perform autonomous driving. An informing unitalerts the extracted autonomous driving unsuitable location Pn to a user.

Route search device, control method, program and storage medium

An error detecting apparatus includes: a reading device obtaining an image read signal by reading a two-dimensional code pattern, which includes information blocks having information and boundary patterns, the information pattern including first/second pattern images (PIs) corresponding to first/second PIs, respectively, in each reading range corresponding to a size&#x2267;a size of the information block. A reference point detecting device detects an intersection in the boundary pattern, as a block reference point (P, Q), from the image read signal; an extracting device extracts the first/second information data (ID), based on one portion of the first PIs and the second PIs belonging to an ID extraction area determined according to a position of the block reference point; an error detecting device detects whether any error in the extracted first/second ID based on another portion of the first/second PIs belonging to another area other than the ID extraction area.

Error detecting apparatus and method, and computer program

A two-dimensional code pattern includes: a boundary pattern in which each of pixels in a group are set into a turn-on state or a turn-off state; a rotation detection pattern in which each pixel belonging to a group in each block is set into the turn-on state or the turn-off state by a light emitting pattern which can detect a rotational angle upon reading of the block; and an information pattern in which both of each pixel belonging to a first quadrant region in the block and each pixel belonging to a third quadrant region are set into the turn-on state or the turn-off state according to first information data and both of each pixel belonging to a second quadrant region and each pixel belonging to a fourth quadrant region are set into the turn-on state or the turn-off state according to second information data.

Two-dimensional code pattern, two-dimensional code pattern display device, and its reading device

A small sized digital Nyquist filter having a high processing speed is provided. A delay in a delay element in the digital Nyquist filter is synchronized with a symbol rate of an input signal, and filtering coefficients at respective taps in the filer are sequentially selected synchronously with a sampling clock in accordance with a predetermined procedure, thereby reducing the number of taps to 1/oversampling number.

Growing community of inventors

Kawagoe, Japan

Tomoaki Iwai