Denso Corporation

Denso It Laboratory, Inc.

Hideki Shirai

Kazuma Natsume

Chiharu Yamano

Mai Sakamoto

Yuu Watanabe

Yasuyuki Miyake

Masayuki Imanishi

Hirohiko Yanagawa

An object detection device acquires a plurality of images captured by a camera mounted in a moving body and acquires movement information of the camera. The object detection device extracts an edge from a first image among the acquired images. The object detection device calculates a plurality of candidate points corresponding to the edge in a second image, based on the movement information and calculates candidate points corresponding to a plurality of heights as height candidates of the edge. The object detection device calculates a correlation index value between the edge and each of the plurality of candidate points and detects the candidate point with the largest correlation as a correspondence point of the edge. The object detection device detects an object at a position of the edge when the correlation index value of the detected correspondence point is equal to or smaller than a predetermined threshold.

Object detection device, object detection method, and computer-readable recording medium

A FMCW-type radar device generates snapshot data from a beat signal that represents a received condition of the radar device every modulation period. Auto-correlation matrices generated by the snapshot data every modulation period are averaged every set of plural periods. The radar device calculates the target azimuth of a target object such as a preceding vehicle based on the averaged auto-correlation matrix based on MUSIC (MUltiple SIgnal Classification) method. This averaging is performed by weighting average based on an amount of mixed noise (or an interference amount) contained in the snapshot data in each modulation period. A weighting coefficient to be applied to the auto-correlation matrix in each modulation period is set to a value corresponding to the amount of mixed noise, namely, the interference amount of this modulation period. The weighting coefficient becomes large when the interference amount is small, and on the other hand, becomes small when it is large.

Radar device

A technology for providing an arrival direction estimation apparatus which can greatly reduce the calculation amount in spectrum calculation and can perform precise direction estimation without setting short frequency division in spectrum calculation is disclosed. According to the technology, there is provided the arrival direction estimation apparatus including an antenna, a complex digital signal converting means, a real number correlation matrix calculating means, a real number weight matrix calculating means, a spectrum calculating means, and a spectrum peak detecting means, wherein the spectrum calculating means has a real number matrix storing means which stores a real number matrix, a multiplying means which multiplies part of elements of the real number matrix by part of elements of a real number weight matrix, a result storing means which stores the multiplication processing result, a calculating means which performs at least one or more processing of matrix element inversion processing and matrix element sign change processing for the stored processing result, an adding means which adds the processing result by the calculating means, part of the processing result stored in the result storing means, and part of the elements of the real number weight matrix, and a spectrum calculating means which calculates a spectrum with the use of the processing result.

Arrival direction estimation apparatus

In a FM-CW or CW radar apparatus, when interference components are contained in channel signals obtained as beat signals from array antenna elements of respective channels, and the interference components result from directly receiving transmitted CW radar waves from an external source, phase shifting is applied to each of the channel signals to shift respective phases of the interference components of the respective channels to a condition corresponding to reception of interference waves from a predetermined direction. The interference components are then eliminated, and reverse phase shifting is applied to restore remaining components of the channel signals to their original phase condition.

Radar apparatus enabling simplified suppression of interference signal components which result from reception of directly transmitted radar waves from another radar apparatus

Apparatus and method are disclosed for estimating direction of an arrival wave, such as radio or acoustic waves. A correlation matrix of an arrival wave is computed, and matrices for obtaining eigenvalues and eigenvectors are produced. Column norms of the matrix, which is subject to a Householder transformation, are computed. Whether a maximum value of the column norms is the same as or lower than a predetermined threshold is judged. A Householder transformation of the matrix is performed only if the maximum value of the column norms is determined to be greater than or equal to the threshold, and not when the maximum value of the column norms is less than the threshold. The eigenvectors and the eigenvalues of the correlation matrix are obtained by further implementing the Householder transformation. The number of arrival waves is judged from the number of times the Householder transformation is performed.

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Tokyo, Japan

Hideki Shirai