Hitachi, Ltd.

Hitachi Engineering Co., Ltd.

Xanavi Informatics Corporation

Other

Renesas Technology Corp.

Hitachi Automotive Systems, Ltd.

Hitachi Astemo Ltd.

Clarion Co

Renesas Electronics Corporation

Hcx Corporation

Fuji Photo Film Company, Limited

Mitsubishi Electric Corporation

Opnext Japan, Inc.

Mitsubishi Fuso Truck & Bus Corporation

Kirin Brewery Company, Limited

Shigeru Matsuo

Koyo Katsura

Yasuhiro Nakatsuka

Kimiyoshi Machii

Yoshinori Endo

Jun Sato

Katsuaki Tanaka

Michio Morioka

Hiroshi Takeda

Manabu Sasamoto

Mariko Okude

Jun Satoh

Keisuke Nakashima

Noriyasu Hasejima

Kozo Nakamura

Yoshikazu Yokota

Tatsuki Inuzuka

Kenichiro Yamane

Takayoshi Yokota

Junsuke Fujiwara

Shoji Yoshida

Kimiya Yamaashi

Yukihiro Kawamata

Masatoshi Kumagai

Hiroshi Ikeda

Hiromichi Yamada

Takashi Miyamoto

Manabu Kato

Kazuyoshi Koga

Tetsuya Yamada

Shinji Fujiwara

Takayuki Uchida

Soshiro Kuzunuki

Yukio Miyazaki

Takashi Nakahara

Kazushige Yamagishi

Toshimi Yokota

Osamu Tomobe

Hideaki Kido

Takashi Sone

Masahisa Narita

Tadashi Fukushima

Hidehito Takewa

Tooru Komagawa

Kenichirou Kurata

Tetsuya Shimomura

Tomoaki Aoki

Masahiko Kikuchi

Yoshitaka Atarashi

Shigeaki Yoshida

Hisashi Kaziwara

Takaharu Ishida

Masanori Miyoshi

Masakatu Yokoyama

Tadashi Kamiwaki

Shinichi Nonaka

Kentarou Ueno

Syoji Yoshida

Takumi Fushiki

Takeshi Nagasaki

Hiroto Morizane

Keiko Abe

Akira Utagawa

Daisuke Ohama

Masaki Wakisaka

Atsushi Ichige

Yoshiyuki Akao

Yusuke Uchida

Hideo Hiroshige

Hirohisa Miyazawa

Hanno Lieske

Masato Nishimura

Yuki Okuhigashi

Masahiko Takashina

Yoshitaka Sumitomo

Tadaaki Kitamura

Hiroaki Matsunaga

Nasakatu Yokoyama

Masashi Takada

Ichige Atsushi

A problem of the present invention is to provide an object detection device etc. that can accurately detect an object regardless of a view angle position of and distance to the object. An object detection device of the present invention has: a stereo distance detection portionthat detects a distance to an object; a position detection portionthat detects a position of the object; a pose detection portionthat detects a pose of the object; a vehicle information input portion that inputs state information about a host vehicle and a different vehicle; a position prediction portionthat predicts a position of the different vehicle based on the state information about the host vehicle and the different vehicle; a pose prediction portionthat predicts a pose of the different vehicle based on the state information about the host vehicle and the different vehicle; and a determination portionthat determines a distance to, a position of, and a pose of the different vehicle in response to the information detected or predicted by the distance detection portion, the position detection portion, the pose detection portion, the position prediction portion, and the pose prediction portion.

Object detection device, travel control system, and travel control method

An object position detection device includes a first distance detection unit detecting a distance of an object from images, a first position detection unit detecting a position of the object based on the distance, a processing area which contains the object detected by the first distance detection unit in images, a second position detection unit that detects a position of the object in the processing area, a second distance detection unit that detects a distance of the object based on the position of the object detected by the second position detection unit, a unit that detects an orientation of the object based on the position of the object detected by the second position detection unit, and a determination unit that determines the distance and the position of the object in accordance with information of detections executed by the first and the second distance detection units, and the orientation detection unit.

Object position detection device, travel control system, and travel control method

A semiconductor device includes an image recognition device having a convolution arithmetic processing circuit. The convolution arithmetic processing circuit includes a coefficient register where coefficients of an integration coefficient table are set, a product calculation circuit that calculates products of an input image and the coefficients, a channel register where a channel number of the integration coefficient table is set, a channel selection circuit that selects an output destination of a cumulative addition arithmetic operation on the basis of the channel number, and a plurality of output registers that store a result of the cumulative addition arithmetic operation. The integration coefficient table is a table where a plurality of input coefficient tables are integrated and the integration coefficient table has a size of N&#xd7;N. The product calculation circuit can calculate data of N&#xd7;N all at once.

Semiconductor device and image recognition system

An objective of the present invention is, in a stereo camera device, to determine an accurate image position in a direction of progress to detect at an early stage an obstacle or a preceding vehicle on a road. Provided is a stereo camera device for measuring the distance to a solid object from images photographed with a plurality of cameras, said device characterized by: a wide-angle image cropping part for cropping a portion of the images; a distance image cropping part for cropping and enlarging a portion of the images; a road shape determination part for determining a road shape, including slope information, of a road being traveled; and determining, on the basis of the road shape in a prescribed distance, which has been derived with the road shape determination part, the cropping position and/or range of the distance image cropping part.

Stereo camera device

An image reading device includes (i) light guides extending in a main scanning direction and configured to emit light from a light source toward a reading target moving relatively in a sub-scanning direction, the light from the light source being projected into end surfaces of the light guides in the main scanning direction, (ii) an optical filter arranged between the light source and the end surfaces of the light guides and configured to block or attenuate light having a specific wavelength from the light from the light source, (iii) a lens body to focus reflected light reflected by the reading target onto a light receiver to convert the reflected light into an electrical signal, and (iv) a lens holder. The lens holder includes a first positioner for positioning the light guides and a second positioner for positioning the optical filter.

Image reading device

Limitations on memory access decrease the computing capability of related-art semiconductor devices during convolution processing in a convolutional neural network. A semiconductor device according to an aspect of the present invention includes an accelerator section that performs computation on a plurality of intermediate layers included in a convolutional neural network by using a memory having a plurality of banks capable of changing the read/write status on an individual bank basis. The accelerator section includes a network layer control section that controls a memory control section in such a manner as to change the read/write status assigned to the banks storing input data or output data of the intermediate layers in accordance with the transfer amounts and transfer rates of the input data and output data of the intermediate layers included in the convolutional neural network.

Semiconductor device and memory access setup method

The present invention provides a camera device capable of quickly processing image data while suppressing bus traffic. In the present invention, an image memoryis connected to a memory busand stores a right source imageand a left source image. A memory access managementis connected to the memory busand to an internal bus, reads the right source imageand the left source imagefrom the image memoryvia the memory bus, and outputs the read right source imageand the left source imageto the internal bus. Processing unit A, processing unit B, and processing unit Care connected to the internal busand process the image data output to the internal bus

Camera device

An apparatus determines a second pixel range of an uncorrected image necessary to generate a first pixel range having pixels in a preset range of a corrected image, including a cache unit determining the second pixel range and reading and holding the second pixel range from memory before executing correction. Correspondences indicating positions of the uncorrected image corresponding to positions of pixels of the corrected image, respectively, are preset. The cache unit specifies a position of the uncorrected image corresponding to a pixel of one of four corners of a rectangular third pixel range including the first pixel range based on the correspondence, specifies pixel ranges of the uncorrected image necessary for pixel value generation, respectively, at the four corners of the third pixel range based on the specified position, and determines a pixel range including a convex set including the specified pixel ranges as the second pixel range.

Image processing apparatus and image processing method

An outside recognition device according to the present invention has an object to perform distance measurement of an obstacle detected with a surrounding monitoring camera at a low cost. The outside recognition device according to the present invention has a stereo camera that measures a distance in front of the vehicle, a surrounding monitoring camera that photographs a surrounding area of the vehicle, a three-dimensional measuring unit that measures a photographing range of the surrounding monitoring camera with the stereo camera by means for rotating the stereo camera, and generates three-dimensional information from the measurement result, a distance correction information generating unit that generates distance correction information corresponding to a photographing direction of surrounding monitoring camera from the three-dimensional information, and a distance measuring unit that measures a position of the obstacle detected with a surrounding monitoring camera.

Outside recognition device

The purpose of the present invention is to enable precise calculation of the distance to a moving object that is detected in a monocular area even in the case where the road height varies between an overlapping area and the monocular area. According to the present invention, provided are a parallax-information obtaining unit that obtains parallax information about an overlapping area of a plurality of images captured by a plurality of cameras installed in a vehicle; and an object-distance calculating unit that calculates the distance between an object detected in a non-overlapping area and the vehicle, the non-overlapping area being an area other than the overlapping area in the images, on the basis of parallax information obtained from the overlapping area in the past.

An autonomous driving vehicle includes map information storage means, sensor state evaluation means, movement obstacle evaluation means, and speed limit value setting means. When the result of the evaluation of the sensor state evaluation means is within a first range, and a result of the evaluation of the movement obstacle evaluation means is without a second range, then a speed limit value is set based on the result of the evaluation of the sensor state evaluation means and then driving is continued within a range of the limit value.

Autonomous driving vehicle and autonomous driving system

An object recognition device includes a camera () and a radar (), detects an estimated plane region estimated to be a plane from an image from the camera () (S), and calculates a plane equation for the estimated plane region (S). The object recognition device interpolates and estimates distance data within the estimated plane region based on the plane equation and the measured distance data from the radar (S) and obtains the distance to an object by using the distance data. Accordingly, it is possible to obtain dense distance data throughout the estimated plane region and to detect the distance to small objects and distant objects.

Object recognition device

A blind spot estimation portion for estimating the blind spot region of the object in the bucket; a blind spot region shape estimation portion for estimating a shape of the object in the blind spot region; and a volume estimation portion for estimating a volume of the object in the blind spot region are included, the blind spot estimation portion estimates the blind spot region by mesh disparity data obtained from a captured image of the object in the bucket imaged by a plurality of cameras, the blind spot region shape estimation portion estimates the shape of the object in the blind spot region by the mesh disparity data, and the volume estimation portion estimates the volume of the object in the blind spot region based on the shape of the object in the blind spot region estimated by the blind spot region shape estimation portion and a shape of a bottom of the bucket.

Volume estimation device and work machine using same

Excavation is performed using an excavation device so that positions of a bucket and of an excavated material are measured with high accuracy. Safe excavation work is realized by having the excavation device include a stereo camera, and by recognizing a bucket from an image photographed by the camera, measuring a position of the bucket, recognizing an excavated material to be separated from the ground from the image photographed by the camera, measuring a position of the excavated material, and measuring a positional relationship between the bucket and the excavated material in the same screen.

Excavation device using stereo camera and angle sensors to position bucket

An external recognition apparatus and an excavation machine using the external recognition apparatus, the external recognition apparatus including: a three-dimensional distance measurement device configured to acquire distance information in a three-dimensional space in a predetermined, region which is under a hydraulic shovel and which includes a region to be excavated by the hydraulic shovel; a plane surface estimation unit configured to estimate a plane surface in the predetermined region based on the distance information; and an excavation object region recognition unit configured to recognize the region to be excavated in the predetermined region based on the plane surface and the distance information.

External recognition apparatus and excavation machine using external recognition apparatus

Growing community of inventors

Hitachinaka, Japan

Shigeru Matsuo