59 results about "Mobile entity" patented technology

The invention relates to a method for operating a policy control entity in a cellular network, the method comprising: —determining a quality of service parameter for a data packet session in which one trained model from a plurality of trained models is downloaded to a mobile entity, —determining at least one capacity parameter of the mobile entity, —determining a network transmission parameter of the cellular network, —determining said one trained model from the plurality of different trained models based on a dataset which maps different capacity parameters and transmission capabilities to the plurality of trained models, on the determined capacity parameter, and on the network transmission parameter, —determining routing information indicating where said one trained model is accessible for a transmission to the mobile entity, —transmitting the routing information to a session management entity configured to manage the data packet session in the cellular network.

An access permission device includes: an obtainer that obtains, from an access source, an access request to access an access destination included in a mobility entity; and a permitter that permits the access source to access a function of the access destination, based on a first verification result of first verification of a security status of the access source and a second verification result of second verification of a security status of the mobility entity. The security status of the mobility entity depends on the function of the access

The invention provides a method carried out at a mobile entity connected to a cellular network, wherein it is determined that an emergency call to an emergency call center has been started at the mobile entity. At least one sensor connected to the mobile entity is selected in response to the determining, the at least one sensor being configured to collect sensor data other than audio data from an environment in which the mobile entity is located. The at least one sensor is activated and the collection of the sensor data is requested. Furthermore the requested sensor data is transmitted to the emergency call center.

This disclosure provides a management system and a management method. The management system of this embodiment includes a server that manages multiple autonomous mobile entities moving within a facility. The server divides the map into multiple regions based on map information representing the facility, designates at least one of the multiple regions as a restricted region, and designates at least one of the multiple regions as an unrestricted region. In the restricted regions, autonomous mobile entities granted the right of way to move within the restricted regions are allowed to move, while the movement of autonomous mobile entities not granted the right of way is restricted.

This disclosure provides systems, methods, and devices for wireless communication that support a sensing charging subscription. In a first aspect, a method of wireless communication includes receiving first location information associated with a first mobile entity. The method also includes transmitting an alert based on the first location information and path information configured to model multiple paths associated with an intersection region. The multiple paths include a first path that is curved. The path information defines multiple line segments to model the first path. Other aspects and features are also claimed and described.

Aiming to solve the technical problem that the time overhead of mobile entity trajectory data fusion processing increases significantly under the condition of a sharp increase in data traffic, which may cause system crash, the present invention provides an efficient trajectory fusion method based on local matching, which includes the following steps: initial parameter setting, trajectory data rasterization cache processing, cache data life detection, trajectory data sequence matching calculation; matching success condition determination. The present invention can significantly reduce the number of trajectory similarity calculations by pre-grouping mobile entity trajectory data, thereby improving the efficiency of fusion processing. It is suitable for scenarios with diverse trajectory data sources, large data traffic, and wide geographical distribution of trajectories.

A data storage system is a data storage system provided in a mobile entity, and includes a shared storage device, a control device (such as a first host) capable of writing to the shared storage device, one or more devices each capable of writing data to the shared storage device without the control device, and a priority controller connected between control device and each of the one or more devices and the shared storage device to perform control of write of data from the control device and the one or more devices to the shared storage device based on a first priority degree set to the control device or a second device included in the one or more devices and a second priority degree that is set by the control device and indicates a priority degree of write by a first device included in the one or more devices.

A mobile monitoring node is provided. The mobile monitoring node is removably attachable to a mobile entity and is configured with first positioning parameters that correspond to a first geo-fence. The mobile monitoring node is configured to: monitor a location of the mobile monitoring node, causes transmission of an indication as to whether the mobile monitoring node is located within the first geo-fence, receive, from the control device, an action signal instructing the mobile monitoring node to initiate at least one action, the action signal being based on the indication; and initiate at least one action based on the action signal.

This disclosure includes an information processing apparatus, an analysis method, and a computer-readable recording medium. It efficiently identifies spaces where mobile entities exhibit characteristic behaviors. The information processing apparatus analyzes the world in which the mobile entity moves. Semantic model information represents attribute information for each constituent element constituting the world. Spatial feature quantities representing spaces in the world are defined by item groups that include attribute information of at least multiple constituent elements existing in and around that space. A specific space is the space in the world where the mobile entity exhibits characteristic behaviors. Based on semantic model information related to a first world, the information processing apparatus extracts multiple constituent elements existing in and around a specific space in the first world and defines specific spatial feature quantities representing that specific space. Based on semantic model information related to a second world, the information processing apparatus extracts similar spaces from the second world that have spatial feature quantities similar to those of the specific spatial feature quantities related to the specific space in the first world.

This invention discloses a self-attention trajectory learning and dynamic simulation system for urban digital twins, involving the fields of urban digital twins, artificial intelligence, and computer simulation technology. It includes a perception layer, a data preprocessing layer, a self-attention trajectory learning layer, a dynamic simulation engine layer, a decision and optimization layer, and an interface and service layer. Based on a hierarchical spatiotemporal sparse attention network, this system combines graph attention networks with a local-global hybrid sparse attention mechanism to efficiently capture long-range spatiotemporal dependencies of urban mobile entities and reduce computational complexity to near-linear levels. Combined with an edge-cloud collaborative computing architecture and a parallel simulation engine, it achieves high-precision prediction and low-latency dynamic simulation of large-scale urban mobile entity trajectories. This effectively solves the problems of insufficient spatiotemporal dependency modeling, low computational efficiency, and poor adaptability to concept drift in existing technologies, providing strong technical support for applications such as smart city traffic management and emergency response.

The present disclosure provides novel techniques to segment mobile entities based signals from mobile devices associated with these mobile entities. In certain embodiments, a first set of mobile entities and a second set of mobile entities are determined based at least on first and second predefined constraints. A feature set related to a mobile segment is also identified, the feature set including a plurality of features. A plurality of feature gains corresponding, respectively, to the plurality of features are then determined, and a set of mobile entities are add to the mobile segment based at least one the plurality of feature gains, and for each particular feature of the plurality of features, frequency of events associated with each of the set of mobile entities and having the particular feature.

There are provided measures for provision of vehicle's surrounding intelligence information. Such measures exemplarily include, at a network side node of a cellular system, receiving, from a first mobile entity, a request for combined spatiotemporal surroundings characteristics related to surroundings of said first mobile entity, generating said combined spatiotemporal surroundings characteristics related to said surroundings of said first mobile entity based on a position of said first mobile entity, and transmitting, towards said first mobile entity, said combined spatiotemporal surroundings characteristics related to said surroundings of said first mobile entity, wherein said combined spatiotemporal surroundings characteristics related to said surroundings of said first mobile entity include location information of at least one second mobile entity in the surroundings of said first mobile entity.

Occupancy aware decision-making is disclosed. Positions of entities in an environment are determined. Stationary entities are used as markers to segment the environment. Positions of non-stationary entities are used to determine an occupancy score for each of the segments. Decision making operations, such as pathfinding for mobile entities, can be performed using the occupancy scores of the segments. The occupancy scores and segmentation adapt to changes in the environment.

The present invention relates to a novel trust migration method for cross - domain mobile entities in the Internet of Things in a cross - domain trust migration platform. The basic idea is as follows: The trust migration request of the target user for a certain mobile entity is sent to the trust migration calculation center of the cross - domain trust migration platform by the user - side module. The trust migration calculation center extracts the domain trust attributes of the domain where the target user is located and the domain where the mobile entity was located before migration respectively, and calculates the correlation degree of the domain trust attributes of the two domains. Then, based on the trust evaluation criteria within the domain before migration, the trust of the mobile entity before migration is calculated. Finally, the trust of the mobile entity after migration is deduced according to the correlation degree of the domain trust attributes of the two domains and the trust of the mobile entity before migration. This method can migrate and share the trust of cross - domain mobile entities in the Internet of Things, and solves the trust migration problem when mobile entities roam among multiple domains. It belongs to the field of computer networks.

Context aware trajectory forecasting is disclosed. A mobile entity operating in an environment may be performing a task or be associated with a context. The task or context of the mobile entity is determined and filtered with respect to a structure that stores context or task-based typical or rich trajectories. Candidate trajectories are identified and similarity scores are determined for the candidate trajectories. The similarity scores account for attribute importances. This allows a trajectory of the mobile device to be forecast with respect to the historical data of other mobile devices performing the same or similar tasks or that have a similar context.

This disclosure provides systems, methods, and devices for wireless communication that support a secure system. In a first aspect, a method of wireless communication includes receiving first information of a first mobile entity from the first mobile entity. The method also includes sending the group configuration information to the first mobile entity. The group configuration information is generated based on the map information and indicates a group including the first mobile entity and the second mobile entity. The method also includes sending alert information to the group. Other aspects and features are also claimed and described.

Occupancy aware decision-making is disclosed. Positions of entities in an environment are determined. Stationary entities are used as markers to segment the environment. Positions of non-stationary entities are used to determine an occupancy score for each of the segments. Decision making operations, such as pathfinding for mobile entities, can be performed using the occupancy scores of the segments. The occupancy scores and segmentation adapt to changes in the environment.

This disclosure provides systems, methods, and devices for wireless communication that support sensed charging subscriptions. In a first aspect, a method of wireless communication includes receiving first location information associated with a first mobile entity. The method also includes sending an alert based on the first location information and path information configured to model a plurality of paths associated with the intersection zone. The plurality of paths includes a curved first path. The path information defines a plurality of line segments to model the first path. Other aspects and features are also claimed and described.

A light emission device is installed in a vehicle capable of changing a degree of involvement of a driver in surroundings monitoring during driving. A light emitter is configured to be located in a gaze stable field of view of the driver when an information display device is located in an effective field of view of the driver. The information display device is disposed on a side of a steering device in the mobile entity. The light emitter is configured to emit light in a manner according to the degree of involvement of the driver in the surroundings monitoring during driving.

The proposed embodiments relate to a radio communication device for providing a locally defined park network for an industrial environment. The radio communication device may include one or more mobile entities including at least one radio unit for operating a radio front end that maintains the park network.

A system for controlling operation of mobile entities includes mobile entities and a master entity communicatively coupled to each one of the mobile entities. Each of the mobile entities includes a control module and at least one function component. The control module controls operation of the at least one function component and operates in either a first state, a second state, or a third state. Depending on the state in which the control module is operated, the function components are controlled either by the control module in an autonomous manner, or control of the function components is partly or entirely assigned to a human operator.

Methods, systems, and apparatus, including medium-encoded computer program products include: obtaining first computer data comprising a simulation space including a grid of nodes; obtaining second computer data for two or more mobile entities, wherein the second computer data of each mobile entity includes a speed value and a deceleration value; and performing a discrete event travel simulation of the mobile entities in the simulation space. Each mobile entity moves along a respective path on the grid of nodes while avoiding collisions with the other mobile entities. Performing the discrete event travel simulation includes updating an allocation iterator that identifies a next node to be allocated along the path at a next node allocation time and a trailing iterator that identifies a trailing node along the path. The next node allocation time corresponds to a trailing node arrival time of the mobile entity to the trailing node.

There is provided a computer implemented method of central sensor augmentation. The method comprises receiving a first perception message from a first computing device comprised in a first mobile entity (10), wherein the first perception message is generated by a perception subsystem of the first mobile entity (10), and wherein the first perception message comprises at least a location of the first mobile entity (10), and a representation of a field of view (11) of at least one sensor of the first mobile entity (10). Further, the method comprises receiving a second perception message from a second computing device comprised in a second mobile entity (20), wherein the second perception message is generated by a perception subsystem of the second mobile entity (20), and wherein the second perception message comprises at least a location of the second mobile entity (20), and a representation of a field of view of at least one sensor of the second mobile entity (20). Further, the method comprises updating first and second virtual mobile entity environment models of the first and second mobile entities using at least the sensor data comprised in the first and second perception messages, respectively. Further, the method comprises incorporating at least the first and second virtual mobile entity environment models into a unified environment model; wherein the first and second virtual mobile entity environment models are registered to a common coordinate system. Further, the method comprises generating, for at least the first computing device, a representation of an augmented field of view in the unified environment model comprising at least a portion of the representation of the field of view obtained by the at least one sensor of the second mobile entity (20). Further, the method comprises transmitting, to the first computing device, a message comprising at least the portion of the representation of the field of view obtained by the sensor of the second mobile entity (20) used in the representation of the augmented field of view.

To solve the problem that the examination regarding control for changing an exposure period in a pixel that includes an avalanche photodiode is insufficient.SOLUTION: Provided is a photoelectric conversion device comprising: a pixel unit in which are arranged over a plurality of rows a plurality of pixels, each of which includes a quench circuit to which a signal for regulating the start and end of an exposure period is inputted, and an avalanche photodiode which is connected to the quench circuit; a selection unit, to which a plurality of clock signals differing in cycle are inputted in parallel, and which selects a clock signal to be outputted, from among the plurality of clock signals; and a generation unit that generates said signal using the clock signal outputted from the selection unit.SELECTED DRAWING: Figure 5

A computer-implemented method of providing video data from one or more mobile entities to an operator of the one or more mobile entities is provided. The method obtains video data comprising one or more video streams, each video stream being captured by a respective video camera attached to a respective mobile entity and comprising a plurality of sequentially ordered frames. The method processes each of the video streams using a machine learning model trained to identify one or more significant frames. The method initiates provision of at least some of the video data to the operator, the provision of the significant frames being prioritised over the provision of other frames of the video data.

[Problem] To eliminate a threat by limiting, deterring, and jamming the operation of a mobile object which poses the threat. [Solution] This defense system comprises one or more transmitters 2 for outputting specific radio waves, and a plurality of antennas 3 capable of radiating the radio waves outputted from the transmitters 2 in a specific direction. The defense system is configured to cause interference so that the radio waves radiated from the plurality of antennas 3 are strengthened at a specific point, thereby forming a radio jamming wave at the specific point, and forms a radio jamming area S by scanning the radio waves radiated from the plurality of antennas 3, and scanning the radio jamming wave within a specific two-dimensional or three-dimensional area.

A method of improving synchronization of digital twinning (DT) in a wireless communication network. The network comprises a physical layer comprising a plurality of mobile physical devices, each mobile subscriber (MU) having signaling, transmission and control components, and a digital twin layer comprising a plurality of servers, each server having storage and computing resources for processing data from the MU. The method includes collectively modeling digital twin deployment, digital twin synchronization, communication resource allocation, and computing resource allocation in the network based on historical data to assess average energy consumption in the network during a first time scale. The method includes adjusting a digital twin synchronization policy during a second time scale to reduce or minimize energy consumption in the network during the first time scale. The second time scale is longer than the first time scale.

An analysis is performed on a request to compare a resource determined from the request with resources provided or needed by mobile physical entities, such as people, vehicles, or equipment. The analysis includes matching the request to a mobile physical entity. A target marking device that is associated with the mobile physical entity that matches the request is selected. A marking signal is transmitted to the target marking device to cause the target marking device to illuminate and thereby visually mark the mobile physical entity that matches the request.

To provide a technique that reduces the time and effort required to prepare data for learning.SOLUTION: A method has a mobile route acquisition process for acquiring a movement route of a mobile entity, a superimposed image generation process for generating a superimposed image by superimposing an image or three-dimensional data representing the mobile entity and an image or three-dimensional data representing the movement environment including the movement route, a label information acquisition process for acquiring label information regarding the position and orientation of the mobile entity, and a dataset generation process for generating a learning dataset including the superimposed image and label information.SELECTED DRAWING: Figure 11

Various systems and methods for detecting risk conditions in a physical workspace. An apparatus can include an interface to receive smart sensor signals from at least one autonomous mobile entity (AME) in the physical workspace. The apparatus can also include processing circuitry coupled to the interface to detect a risk condition associated with the at least one AME, based on the smart sensor signals, relative to a user device associated with a human present in the physical workspace. The processing circuitry can also detect a direction of the risk condition relative to the user device and cause a notification to the first user device. The notification can indicate the direction of the risk condition relative to the user device. Other systems, methods and apparatuses are described.