1229 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.

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.

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 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.

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.

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.

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.

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.

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.

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.

A system includes one or more sensors to detect activities of a mobile object; and a processor coupled to the sensor and the wireless transceiver to classify sequences of motions into groups of similar postures each represented by a model and to apply the models to identify an activity of the object.

To improve convenience for an occupant (for example, a driver) of a mobile object.SOLUTION: A control device performs: (a) determining whether a length in a traveling direction of a connection area in which a first lane and a second lane are connected satisfies being a length for changing a lane of a mobile object to the second lane at speed equal to or higher than predetermined speed at which automatic lane change control is executable; (b) determining whether changing the lane of the mobile object to the second lane is possible in the connection area at speed of the mobile object; and when the mobile object is scheduled to change the lane to the second lane, notifying an occupant of the mobile object that the mobile object cannot change the lane to the second lane by performing the automatic lane change control before the mobile object arrives at the second lane if (a) is not satisfied, and decelerating the mobile object to speed at which the mobile object can change the lane to the second lane and which is equal to or higher than the predetermined speed if (a) is satisfied and (b) is not satisfied.SELECTED DRAWING: Figure 1

An information processing device includes a storage medium that stores computer-readable instructions, and a processor connected to the storage medium, and the processor executes the computer-readable instructions to detect one or more other mobile objects from image data obtained by imaging an area around a mobile object, calculate a relative position of the other mobile objects in a lateral direction of the mobile object and a relative movement amount of the other mobile objects in a longitudinal direction of the mobile object, with the mobile object as a reference, cluster the other mobile objects based on the relative position of the other mobile objects in the lateral direction and the relative movement amount of the other mobile objects in the longitudinal direction, identify a lane area based on a result of the clustering, and estimate a center line of a lane on which the mobile object is traveling, based on the lane area.

The present disclosure relates to devices, and methods for ambient Internet of Things (IoT)- based object tracking. The present disclosure includes a method performed by a network node, including: transmitting an activation signal at a particular frequency within a predefined location; and receiving one or more backscattered activation signals within the predefined location. The method includes: for each ambient IoT device of the one or more ambient IoT devices: transmitting a downlink signal at the particular frequency within the predefined location; receiving an uplink signal at the particular frequency from the ambient IoT device; and tracking the moving object based on the received tracking information. The method further includes: transmitting an acknowledgement signal at the particular frequency to the ambient IoT device, where the acknowledgement signal being one of: a positive acknowledgement (ACK); or a negative acknowledgement (NACK).

According to one embodiment, an information processing device includes a hardware processor. The processor calculates an error variation indicating a variation in error between a first absolute position of a mobile object and a relative position of the mobile object. The first absolute position is based on a global positioning system (GPS). The relative position is based on information other than the GPS. The processor calculates at least one section on a map in which the error variation is equal to or less than a first threshold value. The processor calculates a second absolute position on the map such that a constant difference loss becomes smaller. The constant difference loss is used for causing a difference between the first absolute position and the second absolute position to be constant for each of the sections.

A control device is configured to perform: performing a first process when an index value indicating a degree of closeness to a risky object which is present in front of a mobile object is less than a first threshold value; performing a second process when the index value is equal to or greater than the first threshold value and less than a second threshold value greater than the first threshold value; and performing a third process and the second process when the index value is equal to or greater than the second threshold value. The third process includes a fourth process of proposing a driving operation for avoiding the risky object to a driver. The fourth process is not performed when the driver has performed an action for reducing or releasing an operation of an operator instructing an accelerating operation for accelerating the mobile object.

A server includes a processor configured to: acquire user schedule information indicating an action schedule of a user and other person schedule information indicating an action schedule of another person associated with the user; estimate, based on the user schedule information, a power amount for a moving object that the user is allowed to use, the moving object including a rechargeable secondary battery; and control a charging device to charge the moving object based on the power amount and the other person schedule information.

An information processing device processes information provided for a second device, which is used at a place different from that of a mobile object by a user, from a first device mounted in the mobile object. The information processing device includes an acquisition part, a provision part, a reception part, and a brightness modification part. The acquisition part obtains information including moving image data transmitted by the first device. The provision part provides moving image data for the second device based on the information obtained by the acquisition part. The reception part accepts a first operation performed for a partial area of a moving image presented to the user based on the moving image data provided for the second device by the provision part. The brightness modification part changes brightness of the partial area of the moving image based on the first operation accepted by the reception part.

The invention relates to the technical field of construction management, in particular to a BIM (Building Information Modeling)-based engineering supervision management system and method.According to the BIM-based engineering supervision management system and method, spatial positions and states of construction machinery, vehicles and personnel are captured in real time through a sensor network deployed on site, and a core dynamic spatial conflict calculation module is used for calculating the safety of the construction machinery, the vehicles and the personnel according to a preset safety rule base; and millisecond-level conflict detection and prediction are carried out on the real-time dynamic safety envelope lines of the moving objects. And after potential risks are found, the system sends early warning of different levels from prompting to forced intervention to related personnel, so that a complete management closed loop from active perception and intelligent prediction to co-processing is constructed. Therefore, through pre-virtual simulation and in-process real-time intervention, the risk of major safety accidents such as collision and overturning caused by space conflicts is greatly reduced, and life safety is guaranteed. And by optimizing the construction space and logistics planning, shutdown and rework caused by conflicts are reduced, and the construction efficiency and the project management refinement level are improved.

A mobile object control device for controlling a mobile object capable of moving both on a roadway and in a predetermined region different from the roadway includes a road type recognition unit configured to set a virtual central lane including an assumed course of the mobile object, a virtual right lane located on a right side of the virtual central lane as seen from the mobile object, and a virtual left lane located on a left side of the virtual central lane as seen from the mobile object in an image captured by an external camera configured to perform an imaging process in a movement direction of the mobile object and recognize whether the mobile object is moving on the roadway or in the predetermined region on the basis of results of performing spatial classification processes for the virtual central lane, the virtual right lane, and the virtual left lane and a control unit configured to limit a speed of a case where the mobile object moves on the roadway to a first speed and limit a speed of a case where the mobile object moves in the predetermined region to a second speed lower than the first speed.

To easily and quickly confirm the state of distributed facilities.SOLUTION: The system 100 includes a moving body 5 and equipment 3 arranged in a distributed manner in a target area A. The equipment 3 has a detection part 35 for detecting the state of the equipment 3, and a first communication part 36 for transmitting state information on the state of the equipment 3 detected by the detection part 35 by radio communication. Further, the moving body 5 includes a second communication unit 57 that receives the state information transmitted from the facility 3 by wireless communication when the moving body 5 moves to the vicinity of the facility 3 and reaches the vicinity of the facility 3.SELECTED DRAWING: Figure 3

To provide an information processing device capable of searching for a component constituting a mobile body or a candidate of the component.SOLUTION: An information processing device 1 acquires information on at least one of a mobile identification number in a predetermined mobile body and a combination of a model designation number and a classification number, identifies a component constituting the predetermined mobile body associated with the information on at least one of them stored in a storage section, and outputs information on the identified component. The information processing device 1 identifies, by acquiring the information on the mobile identification number or the information on the combination of the model designation number and the classification number, the component on the basis of any of the acquired pieces of information. The information processing device also identifies, by acquiring the information on the mobile identification number and the information on the combination of the model designation number and the classification number, the component on the basis of the information assigned priority between both pieces of information.SELECTED DRAWING: Figure 1

Techniques for generating high-precision localization of a moving object on a trajectory are provided. In one technique, a particular image that is associated with a moving object is identified. A set of candidate images is selected from a plurality of images that were used to train a neural network. For each candidate image in the set of candidate images: (1) output from the neural network is generated based on inputting the particular image and said each candidate image to the neural network; (2) a predicted position of the particular image is determined based on the output and a position that is associated with said each candidate image; and (3) the predicted position is added to a set of predicted positions. The set of predicted positions is aggregated to generate an aggregated position for the particular image.

An information processing device, an information processing method, and an information processing program are provided that enable the status of a mobile object to be grasped using appropriate information about the mobile object. [Solution] The system identifies the information type in mobile object identification information that identifies a mobile object and management device identification information that identifies a management device that manages the mobile object-related information, creates search condition information to be used to search for mobile object-related information managed by the management device, and transmits it to the management device. Then, the system receives one or more pieces of mobile object-related information from the management device, and orders the mobile object-related information in chronological order based on the time information included in each piece of mobile object-related information to create a group of mobile object-related information in the ordered order. Then, the system performs a process to determine whether this ordered mobile object-related information is based on a processing request made from the control device to the management device.