Honda Elesys Co., Ltd.

Jfe Steel Corporation

Hiroyuki Akimoto

Junji Kanamoto

Yoshihiko Ono

Junya Tobata

Shinjiro Kaneko

Hiroyuki Masuoka

Yoichiro Matsui

Yasushi Kitani

Itaru Izumi

Tomokazu Mitsui

Yuta Terasaki

The steel sheet has a steel microstructure containing ferrite: 6% to 90% by area, a microstructure composed of one or more of upper bainite, fresh martensite, tempered martensite, lower bainite, and retained γ: 10% to 94% by area in total, and retained γ: 3% to 20% by volume, a ratio (S/S)×100(%) of an area ratio Sof an upper bainite with a width in the range of 0.8 to 7 μm, a length in the range of 2 to 15 μm, and an aspect ratio of 2.2 or more in contact with retained γwith a grain width in the range of 0.17 to 0.80 μm and an aspect ratio in the range of 4 to 25 to an area ratio Sof the microstructure composed of one or more of upper bainite, fresh martensite, tempered martensite, lower bainite, and retained γ ranges from 2.0% to 15%.

Steel sheet and method for producing the same

A steel sheet having a specified chemical composition and a method for producing the steel sheet. The steel sheet has a microstructure comprising ferrite: 5% or less, and at least one of upper bainite, fresh martensite, tempered martensite, lower bainite, and retained γ: 95% to 100% by area percentage, and retained γ: 4% to 15% by volume percentage. Retained γhas a specified area percentage S, retained γhas a specified distribution number N, and at least one of (i) fresh martensite has a specified equivalent circular grain diameter and aspect ratio and (ii) retained γ grains has a specified equivalent circular grain diameter and aspect ratio.

A steel sheet having a specified chemical composition and a method for producing the steel sheet. The steel sheet has a microstructure comprising ferrite: 5% or less, and at least one of upper bainite, fresh martensite, tempered martensite, lower bainite, and retained γ: 95% to 100%, and retained γ: 5% to 20%. Retained γhas a specified area percentage S, retained γhas a specified distribution number N, and at least one of (i) fresh martensite has a specified equivalent circular grain diameter and aspect ratio and (ii) retained γ grains has a specified equivalent circular grain diameter and aspect ratio.

A steel sheet and a manufacturing method therefor are provided. A steel sheet has a component composition and contains 6 to 80% of ferrite and 20 to 94% of a microstructure composed of one or two or more of upper bainite, fresh martensite, tempered martensite, lower bainite, and retained &#x3b3;, and contains 7 to 20% of retained &#x3b3;, where: an area ratio (S) of retained &#x3b3; having a particle width of 0.18 to 0.60 &#x3bc;m, a particle length of 1.7 to 7.0 &#x3bc;m, and an aspect ratio of 5 to 15 is 0.2 to 5%; and a total area ratio (S) of fresh martensite having an equivalent circle diameter of 1.5 to 15 &#x3bc;m and an aspect ratio of 3 or less and/or retained &#x3b3; particles having an equivalent circle diameter of 1.5 to 15 &#x3bc;m and an aspect ratio of 3 or less is 3% or less (including 0%).

Steel sheet and manufacturing method therefor

An image recognition device includes an image acquiring unit configured to acquire an image, and an object recognition unit configured to extract feature points from the image acquired by the image acquiring unit, to detect coordinates of the extracted feature points in a three-dimensional spatial coordinate system, and to determine a raster scan region which is used to recognize a target object based on the detection result.

Image recoginition device, image recognition method, and image recognition program

An image recognition device includes an image acquiring unit configured to acquire an image, and an object recognition unit configured to calculate gradient directions and gradient values of intensity of the image acquired by the image acquiring unit, to scan the gradient values of each acquired gradient direction with a window, to calculate a rectangular feature value, and to recognize a target object using a classifier based on the rectangular feature value.

Image recognition device, image recognition method, and image recognition program

An electronic scanning type radar device mounted on a moving body includes: a transmission unit transmitting a transmission wave; a reception unit comprising a plurality of antennas receiving a reflection wave of the transmission wave from a target; a beat signal generation unit generating a beat signal from the transmission wave and the reflection wave; a frequency resolution processing unit frequency computing a complex number data; a target detection unit detecting an existence of the target; a correlation matrix computation unit computing a correlation matrix from each of a complex number data of a detected beat frequency; a target consolidation processing unit linking the target in a present detection cycle and a past detection cycle; a correlation matrix filtering unit generating an averaged correlation matrix by weighted averaging a correlation matrix of a target in the present detection cycle and a correlation matrix of a related target in the past detection cycle; and a direction detection unit computing an arrival direction of the reflection wave based on the averaged correlation matrix.

Electronic scanning type radar device and method for estimating direction of reception wave

In an electronic scanning radar apparatus, a receiving unit includes a plurality of antennas receiving a reflected wave arriving from a target having reflected a transmitted wave as a received wave. A beat signal generating unit generates beat signals from the transmitted wave and the received wave. A frequency resolving unit resolves the beat signals in beat frequencies having a predetermined frequency bandwidth and calculates complex data based on the resolved beat signals for each beat frequency. An azimuth calculating unit estimates an order of a normal equation used to calculate a DOA of the received wave on the basis of eigenvalues of a primary order matrix having complex data calculated from the beat signals as elements, creates a secondary order normal equation based on the estimated order, and calculates the DOA of the received wave based on the created secondary order normal equation.

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Tokyo, Japan

Hiroyuki Akimoto