Hitachi Construction Machinery Co., Ltd.

Hitachi, Ltd.

Hitachi Automotive Systems, Ltd.

Hitachi Industrial Equipment Systems Co., Ltd.

Hitcha, Ltd.

Hitachi Astemo Ltd.

Takuya Naka

Shoji Muramatsu

Tatsuhiko Monji

Mirai Higuchi

Yusuke Hieida

Atsushi Watanabe

Ryoso Masaki

Takeshi Shima

Masatsugu Arai

Yoshitaka Hara

Masashi Koga

Saku Egawa

Masaki Kanai

Shinichi Uotsu

Kohsei Matsumoto

Morihiko Sakano

Koei Takeda

Kazuto Shirane

Shuichi Maki

Hiroshi Sakamoto

Shinya Imura

Hidekazu Moriki

Tomoyuki Hamada

Takayuki Sato

Yoshibumi Fukuda

Takayuki Satou

Yukihiko Ono

Ryo Ota

Manabu Katou

Tadashi Nishizawa

Koutarou Masuda

Hiroki Uchiyama

An operation record analysis system for a construction machine is provided which can efficiently extract work contents that may possibly make a factor of decrease in the operation rate from within operation information recorded at the time of operation of a construction machine. The operation record analysis system for a construction machine includes an object sensor that senses an object existing around a machine body. A controller calculates the position of the object on the basis of the information from the object sensor, decides, on the basis of the information from a machine body position sensor and a machine body posture sensor, and the position of the object, whether or not the machine body and the object are close to each other, and adds a result of the decision to the operation information.

Operation record analysis system for construction machine

There are provided: a monitoring apparatus that detects an obstacle located around a hydraulic excavator, and outputs obstacle information; and a controller that calculates an operation limiting command for limiting operation of the hydraulic excavator in accordance with an intrusion prohibited area set on the basis of a result of comparison between a movable range of the hydraulic excavator and a monitoring range of the monitoring apparatus and in accordance with the obstacle information from the monitoring apparatus. Thereby, it is possible to appropriately set an intrusion prohibited area, and reduce detection failures and detection errors.

Intrusion monitoring control system and work machine

Work efficiency is improved while necessary and sufficient monitoring on the surroundings of a working machine is performed. A working machine includes an undercarriageon which an upperstructureincluding a front working device is mounted in a swingable manner, and includes a surrounding monitoring devicethat monitors surroundings. The surrounding monitoring devicehas an information controllerthat: sets a working region by use of terrain data and work states received from sensors detecting work states of the front working device of the working machine; calculates proximity for each of the obstacles around the working machine by use of the working regions and relative positions of each of obstacles and the working machine, the obstacles being detected by an obstacle sensor that detects obstacles around the working machine; and outputs a control instruction in accordance with the proximity.

Working machine

An obstacle determination device mounted on a mining work machine determines whether the state of the mining work machine is a state immediately after progressing or a normal travel state; selects, as a distance threshold provided to determine a non-obstacle, a starting distance threshold if in the state immediately after starting, or a normal distance threshold if in the normal travel state; extracts obstacle candidates on the basis of the result of comparison of the distance at which an obstacle candidate was initially detected with the distance threshold; selects a starting reflection intensity threshold if the state immediately after starting, or a normal reflection intensity threshold if in the normal travel state; excludes non-obstacles on the basis of the result of comparison of the reception strength of the reflection wave of the remaining obstacle candidates with the reflection intensity threshold; and outputs the remaining obstacle candidates as obstacles.

Mining work machine and obstacle discrimination device

An object is to provide a database construction system for machine-learning that can automatically simply create virtual image data and teacher data in large volumes. A database construction system for machine-learning includes: a three-dimensional shape data input unit configured to input three-dimensional shape information about a topographic feature or a building acquired at three-dimensional shape information measuring means; a three-dimensional simulator unit configured to automatically recognize and sort environment information from the three-dimensional shape information; and a teacher data output unit configured to output virtual sensor data and teacher data based on the environment information recognized at the three-dimensional simulator unit and a sensor parameter of a sensor.

Database construction system for machine-learning

Provided is an environment map automatic creation device using a flying object. The environment map automatic creation device includes a travelable area extraction unit that extracts a travelable area where a vehicle can travel in a certain area based on three-dimensional shape information of an area for creating an environmental map, which is acquired by a sensor in a flying object, an area category determination unit that determines a category of the travelable area, a complementary portion determination unit that determines whether or not to measure a complementary portion which complements the travelable area based on the travelable area and the category, and a complementary measurement portion presentation unit that presents the complementary measurement portion.

Environment map automatic creation device

When a combination of a plurality of sensors is used for obstacle detection, the present invention is to detect the relative positions of the sensors, to correct inter-sensor parameters, and to provide accurate obstacle detection. This calibration system is provided with a first landmark detecting unit for detecting the position of a first landmark from three-dimensional shape information; a landmark associating unit for determining a correspondence relation, between the first landmark position detected by the first landmark detecting unit and an attachment position to the vehicle of the first landmark estimated by a vehicle landmark relative position estimating unit; and a vehicle sensor relative orientation estimating unit for estimating the relative position and orientation of the vehicle and a first measurement section based on the information from the vehicle landmark relative position estimating unit and a landmark associating unit.

Sensor calibration system

An off-road dump truck includes a vehicle body, a peripheral recognition device, and an obstacle discrimination device. The peripheral recognition device detects obstacle candidates in front of the vehicle body. The obstacle discrimination device classifies the obstacle candidates, which were detected by the peripheral recognition device, into obstacles and non-obstacles and outputs, as obstacles, the obstacle candidates classified as obstacles. The obstacle discrimination device includes a travel state determination section, a distance filter section, and a reflection intensity filter section. The travel state determination section determines whether each obstacle candidate is a moving object or a stationary object. The distance filter section compares a distance, where the stationary object was first detected, with a distance threshold. The reflection intensity filter section calculates statistical information based on reflection intensity information on the obstacle candidate, and based on a comparison result of the statistical information with a threshold, classifies the obstacle candidate.

Off-road dump truck and obstacle discrimination device

An obstacle monitoring device includes a first object detecting section which detects a relative position of a first object located ahead in a moving direction of a vehicle, based on output data of a first moving-direction monitoring sensor, a second object detecting section which detects a relative position and profile of a second object, based on output data of a second moving-direction monitoring sensor which has a higher spatial resolution than the first moving-direction monitoring sensor, an interference determination section that determines whether the vehicle will interfere with the first object and also determines identity between the first object and the second object, and a profile determination section that, if the interference determination section has determined that the first object and the second object are identical to each other, determines whether the profile of the second object will allow the vehicle to pass over the second object.

Obstacle monitoring device, vehicle control device and work machine

A mobile apparatus includes a position detection device, and an autonomous mobile body. The position detection device includes input means for inputting route data, a distance sensor, map data, position identification means, and relative route calculation means for calculating a relative position and a relative angle to a position of the target point from the position data and the route data of the mobile body. The autonomous mobile body includes a controller that controls an autonomous travel of the autonomous mobile body itself by using the relative position and the relative angle received from the position detection device as control signals.

Mobile body and position detection device

On a basis of a relative position of an obstacle, a size of the obstacle in an own vehiclewidth direction and a width of the own vehicle, a maximum amount Dof movement of the own vehiclein the vehicle width direction as required to avoid the obstacleis calculated. A point displaced over the maximum amount of movement toward a side of the adjacent lane from the relative position of the obstacleis determined as an avoiding point. If a distance d between the avoiding pointand the adjacent lane is greater than the width Wm of the own vehicle, an avoiding path is generated for allowing the own vehicleto pass the avoiding point

Obstacle avoidance system

An obstacle-information-managing device determines, with high precision, the presence of an obstacle around a vehicle. The obstacle-information-managing device includes an obstacle-information-acquiring unit, an obstacle-detection-possibility-information-acquiring unit, and an obstacle-presence-determining unit. The obstacle-information-acquiring unit acquires obstacle information pertaining to an obstacle around each of a plurality of vehicles including a host vehicle, the obstacle being detected using environment sensors mounted on the vehicles. The obstacle-detection-possibility-information-acquiring unit acquires obstacle detection possibility information pertaining to the possibility, when at least one obstacle is detected using the environment sensor(s) mounted on at least one of the vehicles and at least one obstacle is not detected using the environment sensor(s) mounted on the remaining vehicle(s), of at least one of the obstacles being detected using the environment sensor(s) mounted on the remaining vehicle(s). The obstacle-presence-determining unit determines the presence of at least one obstacle based on the obstacle-detection-possibility information and the obstacle information.

Obstacle-information-managing device

A management control device controls multiple unmanned vehicles, including the overtaking of a vehicle using an opposite lane. First and second travel permission sections are set for an own vehicle and another vehicle in a stopped state located ahead of the own vehicle on a traveling lane. A path by which the own vehicle overtakes the other vehicle is generated to include a first transition section to change lanes from a traveling lane to an opposite lane, an overtaking section that connects to the first transition section. Also included is a second transition section that connects to the front end of the overtaking section and is for the own vehicle to return to the traveling lane. The section length of the second travel permission section being set in advance is thereby shortened.

Management control device

Position identification means () for estimating the position of a mobile robot () includes a laser distance sensor () that measures a distance from the mobile robot () to an object, means for recognizing an object from data of the measured distance from the mobile robot () to the object and map data, travel area storage means () for storing a travel area of the mobile robot (), specified area storage means () for storing a specified area that is separate from the travel area of the mobile robot (), and object determination means () for determining whether an object is present within the travel area of the mobile robot () that is stored in the travel area storage means ().

Position identification device and mobile robot provided with same

A vehicle support information system mounted in a vehicle, the vehicle support system including: a man-detecting unit; a vehicle-position detecting unit; a communication unit; a man-position/waiting-score calculating unit; a stopping-vehicle determining unit determining whether or not the vehicle should be stopped, based on a man position and a waiting score of an at least one potential-crossing-man; a travelling controller for stopping the vehicle when the stopping-vehicle determining unit determines that the vehicle should be stopped; and a man-crossing-signal display unit displaying information to inform the at least one potential-crossing-man whether or not the at least one potential-crossing-man can safely cross the road, based on an instruction of the stopping-vehicle determining unit, wherein the man-position/waiting-score calculating unit outputs the man-position/waiting-score to the communication unit.

Growing community of inventors

Tokyo, Japan

Takuya Naka