Abstract: 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.

Abstract: 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.

Abstract: Work efficiency is improved while necessary and sufficient monitoring on the surroundings of a working machine is performed. A working machine includes an undercarriage 132 on which an upperstructure 131 including a front working device is mounted in a swingable manner, and includes a surrounding monitoring device 200 that monitors surroundings. The surrounding monitoring device 200 has an information controller 161 that: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Work efficiency is improved while necessary and sufficient monitoring on the surroundings of a working machine is performed. A working machine includes an undercarriage 132 on which an upperstructure 131 including a front working device is mounted in a swingable manner, and includes a surrounding monitoring device 200 that monitors surroundings. The surrounding monitoring device 200 has an information controller 161 that: 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.

Abstract: 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.

Abstract: 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.

Abstract: An obstacle determination device mounted on an own vehicle determines whether the state of the own vehicle 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.

Abstract: 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.

Abstract: On a basis of a relative position of an obstacle 401, a size of the obstacle in an own vehicle 12 width direction and a width of the own vehicle 12, a maximum amount Dt of movement of the own vehicle 12 in the vehicle width direction as required to avoid the obstacle 401 is calculated. A point displaced over the maximum amount of movement toward a side of the adjacent lane from the relative position of the obstacle 401 is determined as an avoiding point 250. If a distance d between the avoiding point 250 and the adjacent lane is greater than the width Wm of the own vehicle 12, an avoiding path is generated for allowing the own vehicle 12 to pass the avoiding point 250.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A vehicle that enables information on climb-over/touch on an obstacle to be utilized in lengthening the lives of tires and a vehicle body and maintenance such as replacement/repair is provided. The vehicle includes: a vehicle body 1a running on tires; an environmental recognition device 2 detecting any obstacle ahead of the vehicle body 1a; a touch determination section 4 determining touch on a tire; and a storage section 4a recording information on an obstacle touched/climbed over. The storage section 4a records information on an obstacle determined to have been touched by the touch determination section 4.