Hitachi, Ltd.

Mitsubishi Electric Corporation

Elpida Memory, Inc.

Nec Corporation

Nippon Telegraph and Telephone Corporation

Other

Sony Corporation

Mitsubishi Denki Kabushiki Kaisha

Ps4 Luxco S.a.r.l.

Hitachi Ulsi Systems Co., Ltd.

Nara Institute of Science and Technology

Longitude Semiconductor S.a.r.l.

Longitude Licensing Limited

Sony Group Corporation

Nippon Steel Stainless Steel Corporation

Yoshitaka Nakamura

Isamu Asano

Satoru Yamada

Tsuyoshi Tamaru

Hideo Aoki

Takuya Fukuda

Keizo Kawakita

Mitsuo Shimotani

Nobuyoshi Kobayashi

Tadashi Miyahara

Masayoshi Saito

Tomonori Sekiguchi

Tsugio Takahashi

Masahiko Hiratani

Yuichi Matsui

Kazuhiko Kajigaya

Riichiro Takemura

Katsutaka Kimura

Masayuki Suzuki

Yoshitaka Tadaki

Yasuhiro Shimamoto

Toshihide Nabatame

Shinpei Iijima

Toshihiro Sekiguchi

Yuzuru Ohji

Yoshifumi Kawamoto

Shinichi Fukada

Takashi Yunogami

Hiroyuki Ohta

Tomio Iwasaki

Hiroshi Moriya

Shingo Tsukada

Tetsuya Abe

Shigeru Ohno

Akihiro Tanaka

Naoki Hayashi

Hiroyuki Seki

Masaru Izawa

Tomohiro Uno

Natsuki Yokoyama

Tsutomu Matsubara

Yoshio Homma

Tatsuyuki Saito

Ryo Nagai

Kazuo Nojiri

Takeshi Morita

Yasushi Yamazaki

Kenichi Koyanagi

Hidekazu Goto

Naoki Fukuda

Masayoshi Hirasawa

Naohiko Obata

Hiroshi Sakuma

Katsuhiko Tanaka

Noriaki Ikeda

Keizou Kawakita

Yoshinori Ueno

Ryota Suewaka

Keiji Kuroki

Kenji Komeda

Naoki Hikishima

Akihiro Yamanaka

Tsuyoshi Kawagoe

Tadashi Umezawa

Tomohiro Shiino

Toshiya Yamada

Keitaro Horikawa

Shotaro Tora

Masato Sawada

Sukeyoshi Tsunekawa

Yoshio Sato

Osamu Igarashi

Mitsuhiro Horikawa

Kazumichi Machida

Miwako Nakahara

Atsushi Maekawa

Toshiyuki Arai

Tomonori Esaka

Jun Noda

Yuki Togashi

Yutaka Sadano

Machiko Toyoda

Tomonori Saeki

Hiroyuki Kitamura

Ryoichi Nakamura

Naruhiko Nakanishi

Takio Okuda

Masatoshi Yamagiwa

Koichi Uchida

Sadao Yoshizawa

Eiichiro Kakehashi

Mitsutaka Izawa

Akihiro Kawachino

Shintaro Kajiwara

Kimihiko Izaki

Takehisa Gokaichi

Tsutomu Uno

Tsukuru Yamada

Shigetomi Michimata

A wearable device attached to a subject includes an accelerometer that measures acceleration information, and a biological sensor that measures biological signal information of the subject. From the measured acceleration information and biological signal information, first feature data corresponding to a first predetermined period and second feature data corresponding to a second predetermined period are extracted. By machine learning based on the first feature data, a dynamic/static activity identification model, a dynamic-activity identification model, and a static-activity identification model, for the subject, are generated. By combination of results of determination based on each of the identification models, a posture and an activity of the subject are identified and correspondence information, which associates the identified posture and activity with the biological signal information of the subject, is generated.

Device and method for sequential posture identification and autonomic function information acquisition

A classification unit classifies messages included in a text log depending on types, and gives an ID set for each type to each of the classified messages. A creation unit creates, based on dates of occurrence attached to the messages, a matrix indicating an appearance distribution of the messages in the text log for each predetermined duration for each ID. A pattern extraction unit extracts a plurality of patterns, which are combinations of the IDs, from the matrix created by the creation unit. A removal unit removes a part or whole of the patterns from the matrix. A determination unit calculates a degree of importance for each element included in each of the patterns, and determines whether the degree of importance is equal to or higher than a predetermined threshold. A sequence extraction unit extracts a sequence.

Analysis device, analysis method, and analysis program

A wearable device attached to a subject includes an accelerometer that measures acceleration information, and a biological sensor that measures biological signal information of the subject. From the measured acceleration information and biological signal information, first feature data corresponding to a first predetermined period and second feature data corresponding to a second predetermined period are extracted. By machine learning based on the first feature data, a dynamic/static activity identification model, a dynamic-activity identification model, and a static-activity identification model, for the subject, are generated. By combination of results of determination based on each of the identification models, a posture and an activity of the subject are identified, and correspondence information, which associates the identified posture and activity with the biological signal information of the subject, is generated.

The present invention has an object of determining feasibility of lowering a driving automation level of an automated driving vehicle, based on a driving load considering a relationship with surrounding vehicles. An automatic-driving-level lowering feasibility determination apparatus according to the present invention includes: a surrounding vehicle information obtainment unit obtaining surrounding vehicle information; a driving load calculator calculating, based on the surrounding vehicle information, a driving load value indicating a magnitude of a driving load on the subject vehicle; a driving-automation-level lowering feasibility determination unit determining feasibility of lowering a driving automation level of the subject vehicle, based on the driving load value; and an output controller outputting, to an automated driving control device, a result of the feasibility determined by the driving-automation-level lowering feasibility determination unit.

Driving-automation-level lowering feasibility determination apparatus

An operation authority management apparatus manages switching between automatic operation and manual operation of a plurality of actuators (a steering actuator, an accelerator actuator, and a brake actuator) of a subject vehicle. In the operation authority management apparatus, a subject vehicle behavior prediction unit predicts a behavior of the subject vehicle. A determination unit determines, for each individual actuator, whether or not to permit switching of the actuator during the automatic operation to the manual operation on the basis of the behavior of the subject vehicle predicted by the subject vehicle behavior prediction unit. A notification unit notifies a driver of the subject vehicle of a determination result made by the determination unit.

Operation authority management apparatus and operation authority management method

It is an object of the present invention to correct a travel plan of a vehicle so as to cause a self-vehicle to move to a relative position with lower travel risk. A travel plan correction device in accordance with the present invention includes a risk calculation section setting unit for setting a risk calculation section, a risk calculation unit for calculating a travel risk value, on the basis of a relative position between a target area and a surrounding vehicle and travel control information of the surrounding vehicle, a risk reduction section extraction unit for extracting a section whose travel risk value is lower than that at a traveling spot, out of the risk calculation section, as a risk reduction section, and a travel plan correction unit for correcting the travel plan so as to cause the self-vehicle to move to the risk reduction section.

Travel plan correction device and travel plan correction method

An automatic driving control plan creator creates a plan of an automatic driving section where a subject vehicle is automatically driven, and a plan of a driving switching preparation section for switching the subject vehicle from automatic driving to manual driving. A driving load calculator predicts, for each point of the driving switching preparation section, a driving load applied to a driver when the driver manually drives the subject vehicle. A driving switching permission determiner extracts, from the driving switching preparation section, a switching-inhibited section that is a section where switching from automatic driving to manual driving is not permitted, on the basis of the predicted driving load at each point. A driving switching preparation section compensator changes a start point of the driving switching preparation section so as to lengthen the driving switching preparation section in accordance with the length of the switching-inhibited section.

Automatic driving control planning apparatus and automatic driving control planning method

A text log feature vector generator generates a text log feature vector on the basis of a text log. A numerical log feature vector generator generates a numerical log feature vector on the basis of a numerical log. A system feature vector generator generates a system feature vector on the basis of the text log feature vector and the numerical log feature vector. A learning unit learns a plurality of appearance values of the system feature vector to generate a system state model as a model indicating a state of the system. A determination unit determines the state of the system at determination target time on the basis of the system feature vector at the determination target time and the system state model.

Analysis apparatus, analysis method, and analysis program

The present invention has an object to provide a technology of determining whether a driver is prepared for transfer of driving authorization, and then determining whether transfer of driving authorization is acceptable or unacceptable. The present invention is intended for a driving authorization transfer determination device. The device includes a task request part that makes an output device inside the vehicle output a request for a task involving continuous speech or body movement for a predetermined period of time, a task acquisition part that acquires an accomplishment result of the task from an input device inside the vehicle, a transfer determination part that determines whether the transfer is acceptable or unacceptable based on the accomplishment result of the task, and a determination result output part that outputs a determination result of the transfer determination part to the automated driving controller.

Driving authorization transfer determination device

An automatic driving control plan creation unit creates a plan of an automatic driving section in which a subject vehicle is automatically driven, and a plan of a driving switching preparation section for switching the subject vehicle from automatic driving to manual driving. For each point in the driving switching preparation section, a driving load calculation unit calculates a driving load applied to a driver when the driver manually drives the subject vehicle. A driving switching permission determination unit permits switching of the subject vehicle from automatic driving to manual driving at a point where the driving load is smaller than a predetermined threshold value, and does not permit switching of the subject vehicle from automatic driving to manual driving at a point where the driving load is equal to or larger than the threshold value. A permission standard relaxation unit makes the driving load difficult to exceed the threshold value.

An object of the present invention is to implement, at a low hardware cost, a device that changes an autonomous driving control parameter whose step size is variably set. An autonomous driving control parameter changing device according to the present invention includes, a gesture operation acquisition unit that acquires information on a gesture operation for moving the operation target icon, a parameter changing unit that changes the autonomous driving control parameter in an increase or decrease direction defined in association with a movement direction in which the operation target icon is moved, and a step size setting unit that variably sets a step size based on a predetermined condition, the step size corresponding to an amount of change in the autonomous driving control parameter made by the parameter changing unit per occurrence of the gesture operation, and the change operation screen includes a display of the step size.

Autonomous driving control parameter changing device and autonomous driving control parameter changing method

A display control apparatus controls a display used in a vehicle which can travel with automatic driving. The display control apparatus includes an information acquirer and a controller. The information acquirer acquires information of a travel control plan generated by an automatic driving control device of the vehicle. The controller acquires a future position which is a position of the vehicle after an elapse of a predetermined time from a current position of the vehicle from a future movement of the vehicle planned by the travel control plan, and controls the display so that a user is visually provided with the future position of the vehicle by overlapping a vehicle object which is a display object imitating a vehicle shape with a landscape relating to the future position which is acquired.

Display control apparatus, display apparatus, and display control method

A semiconductor device comprises a memory cell region, a peripheral circuit region and a boundary region. In the memory cell region, a concave lower electrode and a foundation layer have a same uppermost surface positioned in a height of H above the plane-A. In the boundary region, one concave lower conductive region and a foundation layer have a same uppermost surface positioned in a height of H above the plane-A.

Semiconductor device and method for manufacturing the same

To improve usability and edit efficiency of video data editing based on additional information, additional information added according to a time axis of video data is first recognized. An edit range of the video data is then set according to whether the additional information is first additional information for designating a specific point in time in the time axis of the video or second additional information for designating a specific time range in the time axis of the video. Therefore, a part to be handled as the edit range is set according to the additional data.

Image processing method, image processing apparatus, and program

A storage system includes N nodes (N is an integer, equal to or larger than 2) coupled to at least one data processing system. A plurality of tenant spaces, based on the N nodes, contain Y1 tenant spaces (Y1 is an integer, equal to or larger than 2 and equal to or smaller than N) for a first tenant. The Y1 tenant spaces are based on Y1 node groups in the N nodes. Each of the Y1 node groups contains Q1 or more nodes (Q1 is an integer, equal to or larger than 1). For the first tenant, the storage system provides, to each of the Y1 tenant spaces, data units multiplexed Y1 times. From a first load-source tenant space from among the Y1 tenant spaces, the storage system loads a first data unit group containing one or more data units to a first load-destination data processing system.

Computer system and data management method

Growing community of inventors

Tokyo, Japan

Yoshitaka Nakamura