836 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.

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 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.

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.

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.

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.

A flying-over beam pattern scanning hologram microscope device includes: a scan beam generation unit which converts of a first beam and a second beam to a first spherical wave; a scanning unit, which includes a spatial modulation scanner for controlling the scan beam in the horizontal direction, and a translation stage for moving an object in the vertical direction at the rear end of the projection unit; the projection unit projecting the scan beam onto an object plane; and a light collection unit which detects a beam that has passed through the objective lens again after being reflected or fluoresced from the object.

According to the present invention, when multiple groups each having multiple mobile objects are used to carry out activities such as exploration, inspection, and investigation, these activities can be carried out more safely or efficiently. [Solution] A control system for controlling the operations of multiple groups including at least a first group having multiple moving bodies and a second group having multiple other moving bodies, the control system comprises an activity condition acquisition unit that acquires information regarding the activity conditions of the multiple moving bodies, a group operation determination unit that makes decisions regarding at least one of the group organization, assigned operations, assigned areas, movement routes, and formations for each of the multiple groups based on the information acquired by the activity condition acquisition unit, and a group operation control unit that controls at least one of the group organization, execution of assigned operations, execution of operations in the assigned areas, movement routes, and formations for the multiple groups depending on the decisions made by the group operation determination unit.

The present invention relates to a method and apparatus for expressing scan data detected by a LiDAR mounted on a moving object as a submap based on a Normal Distribution Transform (NDT), estimating a relative positional change (LiDAR odometry) of the moving object through scan matching using Particle Swarm Optimization (PSO) between the submap and real-time scan data, and determining a covariance of the estimated LiDAR odometry by recognizing the shape of the surrounding environment based on the orientation of normal distributions represented in the NDT-based submap.

A backup power supply system is configured to be connected between a power supply and a load. The backup power supply system includes a first port, a second port, a conductive path, a power storage unit, a charging circuit, a discharging circuit, a switch; and a control circuit. The first port is configured to be connected to the power supply. The second port is configured to be connected to the load. The conductive path connects the first port to the second port. The charging circuit is provided in a first path connecting the conductive path to the power storage unit. The discharging circuit is provided in a second path that connecting the conductive path to the power storage unit. The switch is provided in the conductive path between the first port and the charging circuit and between the first port and the discharging circuit, and is configured to make the conductive path electrically conductive or electrically non-conductive. The control circuit is configured to control the switch, the charging circuit, and the discharging circuit.

The invention relates to a target following method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: obtaining a part detection frame of a moving object in a target scene in a current frame image at a current moment, wherein the part detection frame is used for marking a target part of the moving object; projecting a point cloud collected by a radar sensor to the current frame image to obtain a projection point set corresponding to the part detection frame; identifying a target moving object from the moving objects; determining a target projection point set corresponding to the target moving object from the projection point set based on a part detection frame corresponding to the target moving object; obtaining object information of the target moving object at the current moment based on the target projection point set; and obtaining following information of the mobile robot based on the object information so as to follow the target moving object based on the following information. By adopting the method, the target following stability of the robot can be improved, and the probability of missing or wrong target following is reduced.

An information management device manages information provided to a first device mounted on a mobile object and a second device used by a user at a different place from the mobile object. The information management device includes a display control part, a body movement information acquisition part, a detection part, and a detailed information acquisition part. The display control part causes the second device to display an image based on the image captured by an imaging part. The body movement information acquisition part acquires body movement information of the user. The detection part detects a feature in the image that the user focuses on based on the body movement information. The detailed information acquisition part acquires detailed information of the feature detected by the detection part. The display control part displays the feature and the detailed information in association with each other.

Aspects presented herein may enable a passive positioning system, which may be a network entity or node, to be trained to identify multiple moving objects based on using training data for a single object. In one aspect, a network entity receives first RF channel data recorded by a set of devices for a coverage area during a first time period. The network entity trains an ML model based on the set of devices and the first RF channel data. The network entity receives second RF channel data recorded by the set of devices at a second time instance that is outside of the first time period. The network entity computes a number of moving objects in the coverage area at the second time instance based on the second RF channel data using the ML model.

To control a mobile object such as a robot by using data including a map in which class attributes for classes corresponding to rooms are recorded. Feature information about a class or mobile object control information about the class is recorded as class attributes in association with the class serving as segmented areas in a map of the traveling area of the mobile object such as a robot, for example, a semantic map. The map is a map that allows identification of a room type and the border between rooms, and the presence or absence of a person in a room or information indicating whether the entry of the robot is allowed is recorded as class attributes for the classes corresponding to each room. Travel control for the robot is performed using a map or data in which the class attributes are recorded.

The invention discloses a traffic engineering construction management method and system based on intelligent perception, and belongs to the technical field of construction management. The system comprises an environment sensing module, an intelligent analysis module, a risk assessment module and an early warning prompt module. The environment sensing module is used for collecting GIS map and environment data, azimuth parameters of operation objects in a construction area and operation parameters of moving objects in a road area, and constructing a three-dimensional scene; the intelligent analysis module analyzes the state of the operation object according to the azimuth parameters and sets equivalent points in the three-dimensional scene; analyzing and calculating a weight coefficient of the moving object in combination with the environment data and the operation parameters; the risk assessment module sets detection points for the equivalent points, analyzes the parameters of the driven-in moving object, calculates the risk coefficient of the equivalent points and the risk index of the operation object in combination with the weight coefficient, marks the operation object and sets a safety point; the early warning prompt module gives out acousto-optic early warning through the helmet, and voice prompt marks that the operation object immediately moves to a safety point for danger avoiding.

A positioning device includes at least one processor. The at least one processor detects a light source and a target object different from the light source in an image captured by an imager. A moving object has the imager and moves in a space. The at least one processor derives a position of the moving object in the space based on positions of the light source and the target object in the image and known positions of the light source and the target object in the space.

An image processing device 20 includes a communication unit 21 and a controller 22 (processor). The communication unit 21 acquires a standard image and a reference image captured by a stereo camera 10. The controller 22 calculates a disparity based on the standard image and the reference image. The controller 22 calculates, at each pixel position, a cost value representing a degree of difference for each pixel position between the standard image and each of multiple images obtained by displacing the reference image by multiple different deviation amounts in a direction corresponding to a baseline length direction of the stereo camera 10. The processor aggregates the cost values using dynamic programming and calculates a disparity for each pixel position based on the aggregated cost values for each different deviation amount. The multiple different deviation amounts are discrete values at uneven intervals.

It stably controls the movement of a moving object based on the movement of the object it is following. [Solution] Information indicating the position and direction of movement of a person is acquired. A graph consisting of nodes and edges, showing the person's movement path, is acquired. Based on the person's position, a first edge of the graph corresponding to the person's position is determined. Based on the first edge or one or more edges located in the direction of the person's movement relative to the first edge, the target position of the moving object is determined.

To provide a technique for ensuring traffic safety of a moving body such as a pedestrian moving on a road.SOLUTION: A moving body included in an image of an infrastructure camera is recognized. Supporting display for supporting movement of the moving body is output from a pavement lighting device on the basis of the recognition information on the moving body. When the recognition information on the moving body includes recognition information on first and second moving bodies, the relative speed of the second moving body in a movement direction of the first moving body and the distance between these moving bodies are calculated on the basis of the recognition information. When the relative speed is equal to or greater than the predetermined speed and the distance is equal to or less than the predetermined distance, approach notification information for notifying the first moving body of the approach of the second moving body is generated. When the approach notification information is generated, the supporting display corresponding to the approach notification information is output from the pavement lighting device.SELECTED DRAWING: Figure 4

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products are provided for object detection over a wireless network. A method performed by a wireless transmit / receive unit (WTRU) includes receiving, from a wireless network, a configuration that includes time windows during which the WTRU performs sensing measurements based on the periodic downlink reference signals, where each time window includes a measurement range, and a trigger condition associated with reporting the sensing measurements to the wireless network. The method also includes receiving periodic downlink reference signals. The method also includes performing sensing measurements during at least a present time window and a prior time window of the time windows, comparing sensing measurements of the measurement range of the present time window to sensing measurements of the measurement range of the prior time window, and in response to the comparison satisfying the trigger condition, reporting the sensing measurements to a wireless network.

A control system includes a movable device, memory, and circuitry. The movable device includes a reflector; paired movable portion; and a detector to detect deflection angle of the reflector. The circuitry outputs drive signals to the paired movable portions, respectively; generates the drive signals based on variables of a symmetry of each of the drive signals and a phase difference between the drive signals; detects, from the movable device, the deflection angle of the reflector by the detector; extract an amplitude of a high-frequency component from a detection signal; store, in the memory, information in which the amplitude of the high-frequency component is associated with values of the variables of the drive signals; select a combination of the values of the variables based on the high-frequency component and the information stored in the memory; and update the drive signals based on the combination of the values of the variables selected.

An operation management apparatus includes: a map converter that performs interconversion between a first individual section state corresponding to a first mobile object and a reference section state and interconversion between a second individual section state corresponding to a second mobile object and the reference section state; and a block control controller that determines the first individual section state and the second individual section state to prevent a collision between the first mobile object and the second mobile object based on conversion results of the map converter.

The invention discloses an event identification method, a traffic event identification method and an event identification system, and relates to the field of large model technology and monitoring. The method comprises the following steps: in a process of monitoring at least one moving object in a to-be-monitored area, acquiring an event video in the to-be-monitored area under the condition that occurrence of an event caused by a target moving object is monitored; identifying an event contained in the event video, and determining whether the event video contains the event; when the event video contains the event, intercepting the event video to obtain at least one event image containing the event; and identifying the event contained in the at least one event image by using the multi-modal large model to obtain the event type of the event. The technical problem that the event recognition effect is poor in the related technology is solved.