Abstract: Described is a means for switching a plurality of different data processing methods or means for changing the type of sensor data to be collected is required. A management computer includes a control unit which stores, in a memory, monitoring means for monitoring a plurality of operation processes to be monitored and management means connected to a network to manage management information about a plurality of different types of external devices for processing a plurality of types of sensor information via the network, the control unit executing the monitoring means and management means in a CPU, in which the control unit determines whether the plurality of operation processes to be monitored is changed, and instructs, when determining that the operation processes are changed, the plurality of different types of external devices to change the processing of the sensor information required to execute the operation processes before changing.

Abstract: A system for assigning a semantic label to a three-dimensional (3D) point of a point cloud includes an interface to transmit and receive data via a network, a processor connected to the interface, a memory storing program modules including a communicator and a labeler executable by the processor. In this case, the communicator causes the processor to perform operations including establishing, using the interface, a communication with an external map server storing a map defined in a map coordinate system, determining a location on the map corresponding to the 3D point, and querying the map using the location to obtain an information relevant to the semantic label at the location in the map, wherein the labeler causes the processor to determine the semantic label of the 3D point using the information.

Abstract: A management system constructs management information indicating that log chunks and issue chunks extracted from a first system managing log information and issue information output by a process related to a first team for a program to be developed are linked. The management system searches, from the management information, a log message group compatible with a designated log message group that is one or more log messages related to the issue by log pattern matching using the designated log message group in a case of receiving an inquiry with which the designated log message group is associated from the second system. The management system displays, on the second system, a response containing a handling method represented by handling method information corresponding to the found log message group.

Abstract: A system controls motion of vehicle according to a first parking path ending at a target state and determines a second parking path from a current state to the target state using a model of the parking space. The system acquires images of the parking space during the motion of the vehicle along the first parking path and constructs the model of the parking space. The model is used to generate a set of virtual images of the environment of the parking space as viewed from virtual viewpoints outside of the first parking path. The current state of the vehicle is determined by comparing a current image of the parking space with at least one virtual image. The second parking path is determined from the current state to the target state.

Abstract: There is provided an electromagnet control apparatus that continuously attracts crushed pieces of metals with the core of a magnetized electromagnet without immediately releasing the attracted pieces in a composite operation of a construction machine. The electromagnet control apparatus includes a control unit that controls a demagnetized state, a magnetized state, or a counter-magnetized state of an electromagnet. Until the end of a first threshold time tth1 from a transition to the demagnetized state from the magnetized state, the control unit ignores a turn-on voltage for turning on first transistors (a first transistor, a fourth transistor) and turns on the first transistors after a lapse of a second threshold time that is shorter than the first threshold time. The demagnetized state and the magnetized state are repeated until the end of the first threshold time tth1 from the transition to the demagnetized state.

Abstract: Systems and methods for image processing including a memory having stored multi-angled view images of a scene. Each multi-angled view image includes pixels, and at least one multi-angled view image includes a clouded area in the scene, resulting in missing pixels. A processor configured to align three multi-angled view images in the multi-angled view images to a target view angle of the scene, to form a set of aligned multi-angled view images representing a target point of view of the scene, at least one aligned multi-angled view image of the at least three multi-angled view images, has missing pixels due to the clouded area. Form a matrix using vectorized aligned multi-angled view images, wherein the matrix is incomplete due to the missing pixels. Complete the matrix using a matrix completion to combine the aligned multi-angled view images to produce a fused image of the scene without the clouded area.

Abstract: An imaging system for localization and mapping of a scene including static and dynamic objects. A sensor acquires a sequence of frames in motion or stationary. A memory to store a static map of static objects and an object map of each dynamic object in the scene. The static map includes a set of landmarks, and the object map includes a set of landmarks and a set of segments. A localizer registers keypoints of the frame with landmarks in the static map using frame-based registration and to register some segments in the frame with segments in the object map using a segment-based registration. A mapper to update each object map with keypoints forming each segment and keypoints registered with the corresponding object map according to the segment-based registration, and to update the static map with the remaining keypoints in the frame using the keypoints registered with the static map.

Abstract: A printer includes a recording medium holding unit that holds a long, wound strip-like recording medium to enable the recording medium to be pulled out from a front end thereof, a recording unit that pulls out the recording medium held by the recording medium holding unit to a side higher in a vertical direction than a position for pulling out from the recording medium holding unit and that executes a recording operation for the pulled-out recording medium, and a second cutter mechanism disposed under the recording medium holding unit and that cuts the recording medium for which the recording operation is executed by the recording unit at the back end thereof separated from the front end by a predetermined length. A drawing position of the recording medium into an inversion path is arranged to be lower than the recording medium holding unit and the recording unit in the vertical direction.

Abstract: Systems and methods for an imaging system having a memory with a historical localization dictionary database having geo-located driving image sequences, such that each reference image is applied to a threshold to produce a binary representation. A sensor to acquire a sequence of input images of a dynamic scene. An encoder to determine, for each input image in the sequence, a histogram of each input image indicating a number of vertical edges at each bin of the input image and to threshold the histogram to produce a binary representation of the input image. A visual odometer to compare the binary representations of each input image and each reference image, by matching an input image against a reference image. Wherein the visual odometer determines a location of the input image based on a match between the input image and the reference image.

Abstract: A method and system detects and localizes multiple instances of an object by first acquiring a frame of a three-dimensional (3D) scene with a sensor, and extracting features from the frame. The features are matched according to appearance similarity and triplets are formed among matching features. Based on 3D locations of the corresponding points in the matching triplets, a geometric transformation is computed. Matching triplets are clustered according to the computed geometric transformations. Since the set of features coining from two different object instances should have a single geometric transform, the output of clustering provides the features and poses of each object instance in the image.

Abstract: Systems for completing missing points in a three-dimensional (3D) point cloud. The systems include a 3D sensor for measuring point data of objects in a scene, a processor in connection with the 3D sensor and a memory storing a program and the point data, and a display monitor connected to the processor and the 3D sensor for displaying a completed 3D point cloud, wherein the processor executes instruction steps of the program. The instruction steps include acquiring the point data of the objects to generate the 3D point cloud, wherein the point data include a set of points on the objects, extracting planar segments from the 3D point cloud, identifying connectivity relations and missing points among the planar segments, and filling the missing points in the 3D point cloud to generate the completed 3D point cloud using the planar segments and the connectivity relations.

Abstract: A first T-spline fitting system includes a three-dimensional (3D) sensor, a processor and a memory storing a program for representing a point cloud of the scene using T-spline representation. The system executes acquiring an image of the scene using the 3D sensor, generating the point cloud from the image, determining a parameterized domain of the point cloud by mapping data points of the point cloud to values of parameters of the parameterized domain, partitioning recursively the parameterized domain into a set of patches, connecting the patches to form a T-mesh defining topology of control points in the parameterized domain, and fitting a T-spline surface into the point cloud according to the T-mesh to determine positions of the control points.

Abstract: A cylinder acceleration mechanism includes a buffer tank that supplies and discharges oil to and from a bottom-side line that is connected to a bottom-side chamber of an actuating cylinder, and an inversion lever having an intermediate fulcrum as a rotation axis. The buffer tank includes a buffer chamber with a variable capacity achieved by a seal lid moving back and forth inside of a case, and extends and reduces a length of a coupling rod provided to the seal lid and projects from the case. A bottom-side branching line branched from the bottom-side line is connected to the buffer chamber. The actuating rod of the actuating cylinder and the coupling rod of the buffer tank are coupled to respective ends of the inversion lever. The actuating rod and the coupling rod extend and retract alternately with respect to each other as the inversion lever turns.

Abstract: A system for parking a vehicle within a parking space controls motion of the vehicle according to a first parking path ending at a target state and determines a second parking path from a current state to the target state using a model of the parking space. The system acquires a set of images of the parking space using at least one sensor during the motion of the vehicle along the first parking path and constructs the model of the parking space using the set of images. The model is used to generate a set of virtual images of the environment of the parking space as viewed from a set of virtual viewpoints defining states of the vehicle outside of the first parking path. The current state of the vehicle is determined by comparing a current image of the parking space acquired by the sensor while the vehicle is in the current state with at least one virtual image. The second parking path is determined from the current state to the target state.

Abstract: A system for reconstructing a three-dimensional (3D) model of a scene including a point cloud having points identified by 3D coordinates includes at least one sensor to acquire a set of images of the scene from different poses defining viewpoints of the images and a memory to store the set of images and the 3D model of the scene. The system also includes a processor operatively connected to the memory and coupled with stored instructions to transform the images from the set of images to produce a set of virtual images of the scene viewed from virtual viewpoints; compare at least some features from the images and the virtual images to determine the viewpoint of each image in the set of images; and update 3D coordinates of at least one point in the model of the scene to match coordinates of intersections of ray back-projections from pixels of at least two images corresponding to the point according to the viewpoints of the two images.

Abstract: Systems for completing missing points in a three-dimensional (3D) point cloud. The systems include a 3D sensor for measuring point data of objects in a scene, a processor in connection with the 3D sensor and a memory storing a program and the point data, and a display monitor connected to the processor and the 3D sensor for displaying a completed 3D point cloud, wherein the processor executes instruction steps of the program. The instruction steps include acquiring the point data of the objects to generate the 3D point cloud, wherein the point data include a set of points on the objects, extracting planar segments from the 3D point cloud, identifying connectivity relations and missing points among the planar segments, and filling the missing points in the 3D point cloud to generate the completed 3D point cloud using the planar segments and the connectivity relations.

Abstract: An image registrations includes determining a first binary descriptor of a first key point in a first image, determining a second binary descriptor of a second key point in a second image, determining a weighted Hamming distance between the first binary descriptor and the second binary descriptor, and registering the first key point with the second key point when the weighted Hamming distance is below a noise threshold. At least one element in the first or the second binary descriptor is a result of a comparison of a difference between intensities of at least two pixels of the first or the second image with a threshold. At least two weights of the weighted Hamming distance for comparing at least two elements of the first or the second binary descriptors are different.

Abstract: Systems and methods for image processing including a memory having stored multi-angled view images of a scene. Each multi-angled view image includes pixels, and at least one multi-angled view image includes a clouded area in the scene, resulting in missing pixels. A processor configured to align three multi-angled view images in the multi-angled view images to a target view angle of the scene, to form a set of aligned multi-angled view images representing a target point of view of the scene, at least one aligned multi-angled view image of the at least three multi-angled view images, has missing pixels due to the clouded area. Form a matrix using vectorized aligned multi-angled view images, wherein the matrix is incomplete due to the missing pixels. Complete the matrix using a matrix completion to combine the aligned multi-angled view images to produce a fused image of the scene without the clouded area.

Abstract: Provided is an elevator shaft dimensions measurement device including: a plurality of 3-D distance image sensors which are arranged on a circumference of the same circle, facing the direction of the center of the circle and inclined at an elevation angle with respect to a horizontal plane, and which output measurement data by capturing an image of a pattern irradiated onto the inner walls of an elevator shaft that are imaging objects; and a computer which integrates the measurement data output from the plurality of 3-D distance image sensors at a plurality of height positions in the elevator shaft, generates first integrated measurement data covering 360 degrees in the horizontal direction, aligns the first integrated measurement data to create second integrated measurement data after the alignment, and calculates the dimensions of the elevator shaft on the basis of the second integrated measurement data after the alignment.

Abstract: An image registrations includes determining a first binary descriptor of a first key point in a first image, determining a second binary descriptor of a second key point in a second image, determining a weighted Hamming distance between the first binary descriptor and the second binary descriptor, and registering the first key point with the second key point when the weighted Hamming distance is below a noise threshold. At least one element in the first or the second binary descriptor is a result of a comparison of a difference between intensities of at least two pixels of the first or the second image with a threshold. At least two weights of the weighted Hamming distance for comparing at least two elements of the first or the second binary descriptors are different.