1584 results about "Mobile object" patented technology

In some embodiments, a computer system performs different object selection-related operations. In some embodiments, a computer system places objects at locations in a displayed region based on attention of a user. In some embodiments, a computer system displays a container virtual object with curvature in a three-dimensional environment.

An information provision device, information provision method, and a non-transitory recording medium storing a program for causing a computer to execute the information provision method. Each of the information provision device and the information provision method includes projecting an image light to a light transmission member to display a for-driver information image indicating for-driver information to be provided to a driver of a mobile object in a prescribed display area, and displaying at a first point where a normal for-driver information image is displayed a priority for-driver information image in place of the normal for-driver information image, where the displaying includes displaying the normal for-driver information image at a second point different from the first point for at least some of a period during which the priority for-driver information image is displayed at the first point.

A mounting system capable of mounting objects to support structures is disclosed. The mounting system includes a wall mount including a display bracket configured to hold the object, a fixed support bracket couplable to a vertical support structure, and a linkage assembly. The linkage assembly has a low-profile stowed configuration in which the object is held in a raised position close to the support structure. The linkage assembly moves to another configuration to move the object. The object can be held in a lowered position. A pinion adjustment mechanism can be used to control a biasing mechanism for facilitate convenient movement of the object.

The present invention relates to a trajectory generating method for moving a Robot Arm in the fastest and smoothest path by avoiding obstructions and jerky movements in the shortest possible time to predetermined endpoints, by implementing a planning, sequence and trajectory path manager to plan the movements ahead of time and concurrently creating a database of trajectory paths that is subsequently used for storing and retrieving of repetitive movements of the Robot arm, resulting in time saving and smooth movements. In a dynamically changing operating environment, endpoints are calculated through the implementation of an intelligence module that captures a three-dimensional image of the processing area and predicts a 3D pose, which in turn is translated to positional coordinates for the Robot to utilise, to move to the target endpoint. The planning manager working in sync with the intelligence module and sequence manager enables a very favourable environment to seamlessly and efficiently move objects smoothly at controlled speeds, mimicking human movement.

The invention discloses a multi-scene internet of things off-site dynamic inspection self-adaptive monitoring system, and relates to the technical field of intelligent inspection and path planning, the system is composed of a plurality of functional modules, and the system comprises a moving object detection module for detecting a moving object by adopting a Gaussian mixture background modeling and optical flow method; meanwhile, a light-weight MobileViT-XXS model is deployed, and a moving object target is tracked; the moving object classification and identification module is used for judging the type of a moving object through a multi-modal classification decision tree: when the moving object is judged to be a non-living body, carrying out ROI extraction and optimal frame interception on the image saliency of the moving object, and generating EXIF metadata through super-resolution reconstruction; when the judgment result is a biological object, biological category judgment is carried out: when the judgment result is an animal, geo-fencing data matching is carried out, and a spatial-temporal feature fusion model is adopted; and when human beings are judged, face quality evaluation is carried out through multi-frame fusion super-resolution.

A method and system for controlled absence of moving objects from the field of view of a camera during a defined time period is disclosed. When data generated by an at least one electronics device or a respective controller thereof confirms that the physical environment requirements of the at least one electronics device will be met, or confirms that the at least one electronics device will be controlled to meet the operational requirements, the video camera is allowed to enter a mode where the capturing of the video is impeded during the time period. Conversely, when the data indicates that the physical environment requirements will not be met, or that the at least one electronics device will not be controlled to meet the operational requirements, the system ensures that the capturing of the video is not impeded during the time period.

A unified mapping apparatus for path planning and global localization for a mobility device such as an autonomous or self-guiding robot or drone is provided. The unified mapping apparatus comprises a static mapping module and a dynamic mapping module. The primary function of the static mapping module is to scan the mobility device's surrounding environment static geometric for the eventual goal of global path planning. The static objects scanned and identified by the static mapping module are used for global localization. The primary function of the dynamic mapping module is to track moving objects in mobility device's surrounding environment, and predict such objects' movements. With the prediction of dynamic objects' movements, path planning can be improved substantially.

The invention discloses a motion vector refinement for oversampling of time domain spread. A residual network is used to predict a set of residual motion vectors that provides additional motion data for portions of frames for which motion vectors are not provided, such as animation textures, mirrored / reflective objects, and / or moving objects without motion information.

A monocular image depth estimation method and apparatus, and a computer device are provided. The method includes: obtaining a first depth map of a to-be-estimated image; obtaining a dynamic point set and a first pose transformation result of a to-be-estimated millimeter-wave point cloud; obtaining a second depth map of a latter frame of the to-be-estimated image; calculating a projection error between a first depth map and the second depth map of the latter frame of the to-be-estimated image; obtaining a second pose transformation result of the to-be-estimated millimeter-wave point cloud; obtaining a pose estimation error; calculating a depth error of a moving object in two frames of the to-be-estimated image; and obtaining an overall training loss, obtaining a complete depth estimation model, and performing monocular image depth estimation on the to-be-estimated image.

A method for training a model for discovering objects in an input image sequence, the model includes an encoder; an attention module configured to transform the first feature vector into a plurality of feature vectors, called slots; a decoder; the learning of the attention maps being monitored by a set of binary masks for discovering mobile objects produced by an external source, called pseudo-labels; the pseudo-labels being filtered by means of the following steps of: determining an attention map of the foreground of the image; computing a confidence score from the average of the values of the attention map of the foreground of the image at the positions of each mobile object present in a pseudo-label; filtering the mobile objects of the pseudo-labels for which the confidence score is below a predefined threshold.

Provided is a method for predicting a location of a fast-moving object. The method includes receiving event information from an event camera, the event information corresponding to an event detected by the event camera, generating a Binary Event History Image (BEHI) based on the event information, providing the BEHI as an input to an event-based neural network, obtaining, as an output of the event-based neural network, a first predicted location of the fast-moving object, a normal distribution indicating prediction uncertainty of the predicted location, and a predicted time-to-collision (TTC). The method further includes estimating a second predicted location of the fast-moving object based on the first predicted location, the normal distribution, and the predicted TTC output by the event-based neural network, and actuating a mechanical catching device to be at the second predicted location.

To locate and model a moving 3D object captured in a time sequence of multiple images, semantic keypoint detection is applied to each image, in order to generate a set of 2D semantic keypoint detections in an image plane of the image. For each image, a camera pose and an initial object pose is received. Based on the initial 3D model, and the initial object pose and the camera pose for each image, a set of keypoint projections is computed in the image plane of the image, the keypoint projections being 2D projections of 3D semantic keypoints of the initial 3D model. A new 3D model and a new object pose are determined for each image based on an aggregate reprojection error between the 2D semantic keypoint detections and the keypoint projections across the time sequence of multiple images.

An information processing device includes a location information obtaining unit that, from each of a plurality of imaging devices which is used in a mobile object and which searches for an object, obtains location information indicating the current location of the imaging device; and a deciding unit that, based on the location information of each of the plurality of imaging devices, decides on the imaging device to be used in searching for the object.

To provide a positioning device capable of improving positioning accuracy, a positioning method, a program, and a storage device.SOLUTION: A positioning device 20 includes a first position estimation unit 31, a second position estimation unit 33, and an information integration unit 36. The first position estimation unit 31 and the second position estimation unit 33 output first information and second information by positioning in different coordinate systems (a world geodetic system and a map coordinate system), respectively. The information integration unit 36 performs predetermined optimization processing relative to a combination of the first information and the second information recognized as the same time. The information integration unit 36 acquires difference (inter-coordinate difference) regarding information such as a position and a posture of a moving object between mutually different coordinate systems of the first information and the second information by predetermined optimization processing.SELECTED DRAWING: Figure 1

The invention relates to the technical field of attitude control, in particular to a moving object attitude control method based on an improved LKF. Predicting prior attitude estimation at the next moment; calculating a process error covariance matrix; calculating a measurement attitude; calculating a quaternion measurement error covariance matrix; constructing feature vectors of acceleration interference and geomagnetic interference amplitude levels, and calculating an interference amplitude level value by using a Gaussian function model; updating the process error covariance matrix and the measurement error covariance matrix by using the interference amplitude level value; calculating a priori attitude estimation error covariance matrix by using the updated process error covariance matrix; calculating a Kalman gain matrix by using the priori attitude estimation error covariance matrix and the updated measurement error covariance matrix; calculating attitude posteriori estimation at the next moment; and performing attitude estimation at the next moment. According to the method, the problems of insufficient estimation precision and poor interference suppression capability of the attitude observation error covariance matrix of the existing LKF are solved.

An example of a game system executes a racing game where a plurality of movement objects are moved in a course in a virtual space. The course includes a branch portion branching into a plurality of branch destinations, and the plurality of movement objects pass through the branch portion multiple times in progressing through the course. In the branch portion, a branch destination that a movement object is allowed to enter or a branch destination that the movement object is restricted from entering is switched in accordance with a degree of progress of the movement object in the racing game.

To appropriately capture images of objects around a moving body with a smaller number of cameras.SOLUTION: A moving body imaging device 100 includes a frame 190 arranged in accordance with the left-right direction Y of an imaging moving body 200, and a camera 120 that moves in the left-right direction Y along the frame 190 and rotates in the rotation direction.SELECTED DRAWING: Figure 7

The embodiment of the invention provides display equipment, a display equipment control method and device, a medium and a product. The display device comprises: a display screen for displaying an image; the echo ranging device is used for detecting the position of an object in front of the display equipment; and the processor is connected with the display screen and the echo distance measuring device and is configured to obtain position data of the object and determine whether the object is an effective moving object or not according to the position data. And if the object is the effective moving object, adjusting playing parameters of a display screen according to the viewing position of the effective moving object after the effective moving object is moved. The display device is used for achieving the effect of improving the accuracy and efficiency of detecting the position of the mobile user by the display device.

An example system can include a computer having a processor coupled to a memory, the memory can store instructions executable by the processor to process a received Doppler radar signal to extract a feature that represents a characteristic of a moving object. Responsive to determining that the moving object excludes an authorized user based on the extracted feature, the computer can actuate a camera sensor.

A hardware processor of a mobile object executes the program stored in a storage device to acquire information indicating a road situation in a traveling direction of a mobile object; to recognize whether the mobile object is moving on a roadway or a predetermined region different from the roadway; to recognize presence of a contact portion between the sidewalk and the predetermined region in the traveling direction of the mobile object; to control the speed of the mobile object at least partially, and limit a speed at which the mobile object is moving on the roadway to a first speed and limit a speed at which the mobile object is moving on a sidewalk to a second speed slower than the first speed; and to bring a speed of the mobile object closer to the second speed when the mobile object is moving on the roadway, the contact portion is recognized within a predetermined range from the mobile object, and the road situation is in a predetermined state.

A hardware processor of a mobile object executes a program stored in a storage device to acquire information indicating a behavior of a mobile object; to recognize whether the mobile object is moving on a roadway or a predetermined region; to recognize presence of a contact portion between the predetermined region and the roadway; to limit a speed at which the mobile object is moving on the roadway to a first speed; to limit a speed at which the mobile object is moving on the predetermined region to a second speed slower than the first speed; and to bring a speed of the mobile object closer to the second speed when the mobile object is moving on the roadway, the contact portion is recognized within a predetermined range from the mobile object, and a behavior of the mobile object satisfies a predetermined condition.

There are provided a device and a method capable of reducing the processing load in the safety confirmation of the sub-goal and improving the possibility of detecting the safe traveling route. A sub-goal generation unit that generates a sub-goal pattern including a plurality of sub-goals in a traveling direction of a mobile object; and a sub-goal safety verification unit that performs safety verification as to whether or not the mobile object can safely travel, on each of the sub-goals constituting the sub-goal pattern are provided. The sub-goal generation unit generates a coarse sub-goal pattern having a wide sub-goal interval and a dense sub-goal pattern having a narrow sub-goal interval. The sub-goal safety verification unit performs the safety verification on the sub-goals of the coarse sub-goal pattern, and in a case where the sub-goal enabling the safe traveling is not detected, the sub-goal safety verification unit executes the safety verification on each of the sub-goals of the dense sub-goal pattern.

A crime center system generating a graphical user interface, which may be map-based, that facilitates efficient following of a moving object across cameras covering a geographic area. The system processes information on a network of cameras to determine the locations the cameras and their orientations. An object-tracking interface is generated by the system that includes an active camera view window presenting video from a camera capturing video of the geographic area that includes the tracked object. The system determines a set of the cameras, based on known locations and orientations, capturing images about the geographic space captured by the active camera. The system generates a “halo” of camera icons in the object-tracking interface around the periphery of the active camera view window, which provides a 360-degree view of available cameras about the active camera's location allowing a user to select a next active camera to efficiently track an object.

The invention discloses a foreign matter detection method, a server, a foreign matter detection system, a foreign matter detection device and a computer readable storage medium. The foreign matter detection method is applied to the server in the foreign matter detection system. The foreign matter detection system further comprises a transmitting end and a receiving end. The transmitting end is used for transmitting a data packet to the receiving end. And the receiving end is used for receiving the data packet, acquiring the CSI original data according to the data packet, and sending the CSI original data to the server. The foreign matter detection method comprises the following steps: receiving CSI original data; and judging whether a moving object enters the charging area in the wireless charging process or not according to the CSI original data. Therefore, the detection work of whether the moving object enters the charging area in the wireless charging process can be realized, and the method is suitable for detecting various moving objects, and has the advantages of high detection precision, small environmental influence, high safety, low complexity, low cost, no dependence on WPT system operation and the like.

A radiation source direction detection device according to the present invention includes: a radiation detection unit in which a plurality of pixels for detecting radiation are discretely arranged three-dimensionally; and a computation unit that performs computation for identifying the direction of a radiation source on the basis of the result of the radiation detection by the plurality of pixels in the radiation detection unit.

Provided are an urban digital twin platform system and a moving object information analysis and management method therefor. Through the urban digital twin platform system and the moving object information analysis and management method, a moving object such as a vehicle or a pedestrian may be detected from multimodal sensor data, data on the moving object may be generated, and a situation may be quickly determined by deriving complex actions of the moving object. The urban digital twin platform system includes a multimodal sensor data input and objectification module configured to detect a moving object and to generate objectification data, a multimodal sensor data analysis module configured to classify basic actions of the moving object, to classify complex actions of the moving object, and to generate moving object information, and an urban space data server configured to store the objectification data and the moving object information.

Embodiments of the present disclosure relate to apparatus, computer program, method for modelling an environment and use thereof. The method comprises obtaining separate models of a static background and one or more mobile objects. Further, the method comprises obtaining information on a pose and motion of the mobile objects. The method also comprises determining, based on the information on a pose and motion of the mobile objects, time-dependent mapping parameters (also referred to herein as "mapping parameters") for mapping the mobile objects to the background and mapping the mobile objects to the background based on the mapping parameters to generate a model of the environment.

An object processing system is disclosed that includes a carrier for receiving an object on a receiving surface thereof, said receiving surface being adapted to move the object thereon in at least one transfer direction; a horizontal translation system for moving the carrier in a horizontal direction that is generally orthogonal to the transfer direction; a vertical translation system for moving the carrier in a vertical direction; and a payload stability system including a plurality of emitters that each emit a detectable field over a portion of the receiving surface, and a plurality of receivers for receiving the detectable field from each of the plurality of emitters and providing a plurality of detection signals, said payload stability system providing payload stability information responsive to the plurality of detection signals.

There is provided an information processing method to easily recognize a region focused by a shooting camera. The information processing method according to the present disclosure includes: placing a virtual camera in a virtual environment space obtained by modeling a target environment in which a mobile object equipped with a shooting camera is allowed to move, the virtual camera being associated with the shooting camera; determining a virtual focus region in the virtual environment space on the basis of an image corresponding to the field range of the virtual camera, the virtual focus region corresponding to a region focused by the shooting camera in the target environment; and displaying region-specific information on a display screen, the region-specific information specifying the virtual focus region.