4623results about "Vehicle wireless communication service" patented technology

The invention relates to a data processing method for iterative sensor fusion. The method comprises receiving sensor data from a first data source type and a second data source type. The first data source type is adapted for providing sensor data for exclusively determining an entity and the second data source type is adapted for providing sensor data of a tracked entity. The method further comprises generating a data source identifier for each of the sensor data. The data source identifier comprises a data source type identifier corresponding to a data source type from which the sensor data is received. A first data source type identifier corresponds to the first data source type and a second data source type identifier corresponds to the second data source type. The method further comprises compiling a dataset that comprises newest sensor data received, and iteratively performing a data association step on the dataset.

The invention belongs to the technical field of traffic optimization, and particularly relates to a traffic optimization method based on a three-layer Stackelberg game, and the method comprises the steps: obtaining mixed traffic data; according to the mixed traffic data, constructing a three-layer Stackelberg game model; an equilibrium solution of the three-layer game model is solved through a deep reinforcement learning algorithm, an SAC algorithm is introduced into an upper layer to generate a global constraint strategy, and a DDPG algorithm is adopted in a lower layer to optimize cooperative driving and safe obstacle avoidance driving behaviors of the intelligent vehicle; according to the global constraint strategy and the intelligent vehicle driving behavior optimization result, the traffic efficiency, safety and energy consumption and carbon emission indexes of the mixed traffic flow are optimized, the traffic state is continuously updated through behavior feedback data of a middle layer and a lower layer, and strategy optimization is carried out in combination with SAC and DDPG models. Therefore, the problems of insufficient dynamic adaptability, low efficiency of main body interaction processing, limitation of a game model and the like in the prior art are solved.

The invention discloses a method and system for cooperatively positioning a vehicle through a door lock, and the method comprises the steps: obtaining and dynamically updating a neighbor door lock list through the detected door lock of the vehicle according to the broadcast and scanning data of a Bluetooth tag on a moving vehicle; according to the periodic detection report of the door locks on the vehicle and the global analysis of the management system, the cooperative timers of the related door locks are synchronized, and timing management for preventing repeated triggering is implemented; according to the response of the obtained neighbor door lock which initiates multicast query after the collaborative timer expires, the door lock which initiates the query verifies whether all responders are in the neighbor list, so as to judge whether the vehicle is stably parked; and according to the vehicle parking information confirmed by the door lock, the management system updates the global state and sends a parking position notification to the owner. According to the embodiment of the invention, accurate and low-misjudgment judgment of the parking state of the vehicle can be realized, and the reliability and real-time performance of vehicle positioning management are improved by means of global state synchronization.

The invention discloses a door lock assisted vehicle positioning method and system, and the method comprises the steps: enabling a home door lock to join in a first multicast group used for receiving a final position notice according to the pre-configured vehicle Bluetooth tag ID and multicast group setting, and enabling a unit door lock gateway to join in a second multicast group used for cooperative communication between gateways; according to vehicle Bluetooth signals periodically detected by a unit door lock, a unit door lock gateway connected with the unit door lock carries out local recording and statistics; distinguishing a single-gateway scene from a multi-gateway scene according to an accumulation and time comparison result of the collaborative notification information among the unit door lock gateways, and carrying out final parking position judgment; according to a query request of the owner, unit door lock position information corresponding to the vehicle is read from a home door lock local storage in a near field communication mode. According to the embodiment of the invention, accurate judgment and active notification of the final parking position of the vehicle in the community can be realized, and the problem of vehicle searching by the vehicle owner is effectively solved.

The invention relates to a formation driving coordination method based on vehicle-road cooperation, and the method comprises the steps: a road side unit RSU is used for releasing a traffic constraint weight value containing the information of passing restriction, path guidance, risk distribution and the like into a formation driving region, and the weight value forms a traffic environment guidance domain with a potential gradient at a vehicle end; the vehicle autonomously completes formation aggregation and position arrangement based on the own state and the weight change trend in the local sensing environment; after the formation is completed, the vehicles dynamically form a multi-level influence circle structure according to relative positions, historical cooperative behaviors and influence factors provided by the RSU, a current leading vehicle exists in each layer of influence circle, the leading vehicle has local scheduling guidance capability, and when the state of the leading vehicle is unstable or the behavior is abnormal, the control right is transferred to the auxiliary control vehicle; according to the method, the traffic environment guidance domain with the potential gradient is constructed through the traffic constraint weight value issued by the RSU, and the vehicles can autonomously perform formation aggregation and array sorting based on the local weight change trend.

A wireless communication method. An initiating user equipment (UE) performs channel occupancy time (COT) initiating for a COT based on a channel access scheme and transmits sidelink data and sidelink control information within the COT. A responding UE receives the sidelink data and sidelink control information within the COT and performs a channel access scheme to use the shared COT. The responding UE transmits a sidelink hybrid automatic repeat request (HARQ) feedback in response to the sidelink data. The initiating receives the sidelink HARQ feedback.

The embodiment of the invention discloses a digital key ranging value filtering method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring ranging information of a plurality of UWB anchor points in real time; obtaining the position change trend of the digital key according to the distance measurement information; under the condition that the effective distance measurement value does not exist, a preset target position is obtained according to the positioning result corresponding to the moment t of the previous effective distance measurement value, the position change trend and the unlocking and locking state of the vehicle terminal, and a predicted distance is obtained according to the distance relation between the effective distance measurement value at the moment t and the preset target position; obtaining a prediction duration T according to the prediction distance; in the T, when an effective distance measurement value is not detected, state one-step prediction of a Kalman filtering algorithm is executed to obtain a filtered distance measurement value, and when the effective distance measurement value is detected, the state one-step prediction is terminated, and a filtering estimation value is obtained according to the Kalman filtering algorithm to serve as the filtered distance measurement value; and obtaining a positioning result of the area outside the vehicle according to the filtered distance measurement values of the plurality of anchor points.

An operating method of a first device (100) in a wireless communication system is presented. The method may comprise the steps of: determining that a first device (100) interrupts walking of a pedestrian; and determining, on the basis of the determination that the first device (100) interrupts walking of the pedestrian, whether to perform a first operation for preventing the interruption.

The invention relates to a vehicle and unmanned aerial vehicle combined scheduling method for wide-range low-cost inspection. The method comprises the following steps: acquiring prior information; modeling the unmanned aerial vehicle inspection problem of each target area according to the prior information to obtain a mixed integer non-convex optimization problem with the goal of minimizing the weighted sum of the total execution time and the energy consumption of all the inspection unmanned aerial vehicles; performing linearization on a non-convex bilinear term in the mixed integer non-convex optimization problem, and performing discretization processing on a nonlinear function by adopting piecewise linear approximation; an approximate mixed integer linear programming problem is obtained and solved, and an unmanned aerial vehicle scheduling strategy is obtained; modeling according to the unmanned aerial vehicle scheduling strategy and the prior information to obtain an inspection vehicle path planning problem taking the comprehensive driving cost as a target; the routing inspection vehicle path planning problem is converted and modeled into a Markov decision process, a routing inspection vehicle is used as an intelligent agent, a state, an action and a reward function are defined, and a routing inspection vehicle scheduling strategy is obtained. Therefore, combined inspection of the inspection vehicle and the unmanned aerial vehicle is realized, and the inspection range is expanded.

The invention discloses an Internet of Vehicles intrusion detection method based on hierarchical feature enhancement and a dynamic sparse attention mechanism, and the method comprises the steps: firstly obtaining an original CAN bus message data stream, and carrying out the multi-modal data preprocessing and hierarchical feature construction; secondly, for hierarchical features, performing message-level depth feature compression and space-time statistical feature enhancement by adopting a dual-channel feature compression mechanism to form an enhanced mixed feature vector, and then constructing a neural network model of a dynamic sparse attention mechanism based on content awareness to perform feature extraction; and inputting a sparse attention calculation result into a hierarchical classifier, and predicting and outputting a detection result. And training the network model, and deploying the trained network model in a vehicle-mounted embedded device to realize real-time message monitoring and intrusion detection. According to the method, the calculation complexity and parameter quantity of the model are greatly reduced, the real-time performance in a vehicle-mounted environment is remarkably improved, and the detection capability on complex hidden attacks is effectively improved.

The invention provides a low-altitude networking of intelligence multipath data transmission system based on MPQUIC, and belongs to the technical field of novel network protocols, and the system comprises a network state analysis module which is used for obtaining the network state indexes of all communication paths of an unmanned aerial vehicle under different position coordinates; the flow scheduling module is used for predicting the track of the unmanned aerial vehicle, scoring the communication paths by combining the network state indexes of the communication paths, and obtaining the communication paths corresponding to the data flows with different priorities of the unmanned aerial vehicle according to the priorities of the data flows with the scores of the communication paths; and the path selection optimization module is used for dynamically adjusting weight parameters in communication path scores based on deep reinforcement learning by taking network throughput maximization and time delay minimization as targets to obtain optimal communication paths corresponding to data streams with different priorities. According to the invention, the problem that the prior art is difficult to have high reliability and low time delay due to the dynamic change of the network environment caused by the position change of the unmanned aerial vehicle in the low-altitude Internet of Things is solved.

The invention discloses an Internet of Vehicles information age optimization method and system based on graph reinforcement learning, and the method comprises the steps: firstly constructing a batch modeling and limited buffering queue structure of a vehicle state, carrying out the modeling of perception data into a multi-data-packet batch, and carrying out the queue management; modeling V2V link topology by using a graph neural network, and extracting large-scale channel embedding representation reflecting a topological structure; a multi-agent reinforcement learning system based on a centralized training distributed execution framework is constructed, each agent makes a decision according to a local state containing graph embedding features, a mixed action space is output, and an AoI opposite number of a receiving end is used as a reward; a graph embedding supervision mechanism based on a dominant function is introduced, so that topological features are aligned with a long-term optimization target; and network parameters are updated through multiple rounds of training, and finally, autonomous optimization control of each agent on packet loss and power is realized. According to the invention, data packet queue management and wireless resource allocation can be effectively coordinated, and efficient and low-overhead AoI minimization is realized in a complex dynamic topology environment.

The invention belongs to the technical field of network security, and particularly relates to a network security protection system and method based on an electric power emergency communication environment, and the system comprises a quantum-classical hybrid encryption system which is used for generating a dynamic key in real time; the biological characteristic driven dynamic trust ring is used for equipment identity authentication; the unmanned aerial vehicle relay network protocol is used for data transmission; the secret key after-reading burn-down protocol is used for information secret key after-reading burn-down; a key output by the quantum-classical hybrid encryption system is used for authentication encryption of a biological characteristic driven dynamic trust ring, an unmanned aerial vehicle relay network protocol transmits data encrypted by the quantum key, and a key burn-down protocol is used for reading encrypted data to trigger a key burn-down mechanism. According to the method, the key security is improved, the network attack difficulty is increased, the communication delay in a disaster is reduced, man-in-the-middle capture and attack can be immunized, and the problem of contradiction between the encryption strength and the real-time performance is solved.

The invention provides an automatic driving hazard scene detection method and system, electronic equipment and a vehicle, and relates to the technical field of automatic driving. According to the method, a multi-dimensional hazard scene detection rule system is established, so that accurate identification and response to key security events are realized. In the automatic driving operation process, the system continuously collects and compares a vehicle state signal with a preset triggering condition in real time, once any hazard scene condition is met, vehicle burying point data in a preset time window are collected and uploaded to a cloud end, and the vehicle burying point data are stored in the cloud end. Accident scene restoration, system risk assessment and fault root cause analysis are carried out based on the collected data, then a targeted safety repair scheme is generated, vehicle software is remotely upgraded in an OTA mode, closed-loop processing of safety problems and continuous optimization of the system are achieved, the safety, traceability and remote operation and maintenance capacity of the automatic driving system are effectively improved, and the safety and reliability of the automatic driving system are improved. And the running safety of the vehicle is ensured.

The invention provides a blind area early warning method and device and a storage medium, and the method comprises the steps: carrying out the multi-dimensional recognition of a vehicle road scene, obtaining the data of a plurality of sensors, determining the environment type of the road scene where a vehicle is located, adjusting the original weight of each sensor based on the environment type, obtaining a first weight corresponding to each sensor, and carrying out the adjustment of the first weight. Through recognition of environment types, weights are dynamically distributed based on indexes related to environment scenes in a non-linear mode so as to adapt to complex scenes. The sensor data is fused according to the first weight, the influence of the data source with low confidence on the fusion processing is dynamically reduced, blind area early warning is performed based on the fusion result, and the false alarm rate is effectively reduced. In addition, according to dynamic weight adjustment of the indexes related to the environment, the response speed of system execution control is increased.

The invention relates to an internet of vehicles edge computing task unloading and resource scheduling optimization method, which comprises the following steps: constructing an internet of vehicles edge computing system model fusing a task jump mechanism and dual-priority scheduling, the system model comprising a road test unit deployment model, a communication model, a computing model and a task jump model; establishing a joint optimization function aiming at minimizing the total time delay and the total energy consumption of the system; decomposing a joint optimization problem into three sub-problems of unloading decision, computing resource allocation and communication strategy selection; a deep reinforcement learning algorithm is adopted to intelligently sense a road environment state, an optimal communication priority strategy combination is dynamically selected, and a task unloading decision and computing resource allocation are collaboratively optimized; and in each scheduling time slot, the edge server allocates communication bandwidth and computing resources to the vehicle tasks according to the selected strategy, and triggers a task preemption and cross-server jump mechanism, thereby realizing maximization of system throughput and minimization of task processing time delay.

The invention belongs to the technical field of unmanned aerial vehicle remote identification, and particularly relates to unmanned aerial vehicle RID equipment based on multiple communication modes and a data transmission method, and the equipment comprises at least two heterogeneous communication modules which are used for establishing a data transmission link with an external network or a receiving terminal; the data acquisition unit is used for performing real-time acquisition and formatting to generate an RID data frame containing unmanned aerial vehicle identity information, real-time position information and flight state information; the environment sensing unit is configured to periodically detect and quantify channel quality parameters of each communication link corresponding to the at least two heterogeneous communication modules; according to the invention, the at least two heterogeneous communication modules are arranged and combined with the environment sensing unit to detect the channel quality parameters in real time, and the central processing unit is utilized to dynamically select the optimal communication link according to the multi-dimensional communication transmission strategy set, so that the problem that a single communication mode is easily influenced by the environment to cause transmission interruption is solved; the method has the advantages of improving communication reliability, adapting to complex environments and reducing transmission interruption risks.

The invention discloses a track fusion method and device, network equipment, a storage medium and a program product. The method comprises the following steps: receiving positioning track information and sensing track information which are sent by second network equipment and aim at a target terminal; matching the positioning trajectory information with the sensing trajectory information to obtain multiple groups of trajectory pairs of positioning trajectories and sensing trajectories; calculating the target similarity of each group of track pairs; and fusing the positioning track information and the sensing track information according to the target similarity. According to the scheme provided by the invention, the received positioning track information and sensing track information of the target terminal are matched, so that multiple groups of track pairs of positioning tracks and sensing tracks can be obtained; and by calculating the target similarity of each group of track pairs, the positioning track information and the sensing track information can be fused according to the target similarity, so that the problem of sensing data missing or sensing track discontinuity in the prior art can be solved.

A method and system for limiting mobile device functionality when the mobile device is located in a pre-defined fixed geographic area. The mobile device may receive a local disabling signal from a disabling device, which, when detected by a Device Owner Application resident on the mobile device, limits the mobile device functionality. Alternatively, the system may use GPS based geofencing to determine that the mobile device is in a predefined geographic area, and then transmit instructions to the mobile device, where a Device Owner Application operates to restrict the mobile device functionality. Mobile device functionality may be limited by restricting the mobile device's ability to send and receive text messages, email messages and phone calls; restricting the mobile device's ability to respond to user input; restricting the mobile device's ability to utilize a web browser; and restricting the mobile device's web browser from accessing predetermined web sites.

A method by which a first device performs wireless communication and a device for supporting same are provided. The method can comprise the steps of: transmitting a random access preamble to a base station; receiving, from the base station, a random access response message related to the random access preamble; transmitting, to the base station, a radio resource control (RRC) setup request message on the basis of the random access response message; receiving, from the base station, an RRC setup message as a response to the RRC setup request message; and receiving, from the base station, an RRC message including a setup related to a Uu bandwidth part (BWP) and a setup related to a sidelink (SL) BWP, wherein first device cannot perform SL communication through the SL BWP on the basis of the fact that the numerology of the Uu BWP and the numerology of the SL BWP are different.

The embodiment of the invention provides a communication resource allocation method and an on-board unit, and the method is applied to the on-board unit on a vehicle, and the method comprises the steps: responding to a received resource allocation request, and obtaining the state data of the vehicle and the communication load data of an area where the vehicle is located, the state data comprises at least one of the following information: a position, a vehicle speed, a course angle and target shelter information around the vehicle, the target shelter information is information of an object which hinders communication signal transmission around the vehicle, and the communication load data is used for representing an occupation state of a plurality of sub-channels; based on the state data, target quality indexes of the multiple sub-channels in a future preset time period are determined, and the target quality indexes are used for representing the bearing capacity of the multiple sub-channels; and allocating sub-communication resources corresponding to the target sub-channel to the vehicle based on the target quality index and the communication load data. According to the invention, the technical problem of low communication efficiency and stability of Internet of Vehicles communication of vehicles in the prior art is solved.

A method by which a first device performs wireless communication, and a device for supporting same are provided. The method may comprise the steps of: acquiring a configuration related to inter-UE coordination (IUC) information reporting; initiating an IUC report timer on the basis that the IUC information reporting is triggered; performing listen before talk (LBT); and stopping the IUC report timer on the basis of (i) the generation of an IUC information medium access control (MAC) control element (CE), and on the basis of (ii) the success of the LBT.

An embodiment provides a server UE, especially UE acting as positioning session coordinator, having a transceiver and a controller,wherein the transceiver is configured to receive positioning request (from its higher layers or from a second entity),wherein the controller is configuredto initiate and / or maintain a positioning session for a target UE, wherein the positioning session has at least a measurement between the target UE and an anchor UE; to select out of a plurality of UEs at least one anchor UE fulfilling one or more anchor UE selection criteria; andto coordinate assignment of the configuration associated with at least one resource for transmission and / or for reception with the target UE and the anchor UE involved in the positioning session.

Provided, according to one embodiment of the present disclosure, is a method for a first device carrying out sidelink communication. The method comprises the steps of: starting a first timer associated with a PSFCH resource on the basis that sidelink HARQ feedback information is not transmitted to a second device through the PSFCH resource on the basis of a first priority associated with the sidelink HARQ feedback information; on the basis that the first timer has expired, starting a second timer associated with a sidelink HARQ retransmission packet for a PSSCH or SCI; and receiving the sidelink HARQ retransmission packet from the second device after the second timer starts.

Disclosed are a method for transmitting a response PRS, the method comprising the steps of: receiving slot configuration information for configuration of a plurality of slot groups related to the PRS; receiving a request PRS for requesting transmission of the response PRS in one slot group among the plurality of slot groups; and transmitting the response PRS and positioning information on the basis of the slot configuration information, wherein the response PRS is transmitted in a second slot determined on the basis of the slot configuration information and a position of a first slot, in which the request PRS has been received, from among a plurality of slots included in the one slot group, and whether the positioning information is transmitted with the response PRS in the second slot is determined on the basis of whether the first slot and the second slot are continuous in a time domain.

The invention specifically relates to a remote safety officer allocation system and method for a pilotless automobile, and relates to the technical field of pilotless automobiles, and the system comprises a vehicle state monitoring and data collection module; a communication and network guarantee module; a security officer resource management module; the task scheduling and dynamic coordination module is configured to perform intelligent task allocation based on vehicle requirements and safety officer states to realize optimal resource allocation; and an emergency response and decision support module. According to the invention, the vehicle state monitoring and data acquisition module fuses data of multi-source sensors such as a laser radar and a camera and high-precision positioning information, realizes no-dead-corner environment perception, and improves the integrity of environment information compared with a traditional scheme; after the edge computing node preprocesses the original data, the cloud data transmission quantity is reduced, satellite double-channel communication redundancy is combined, it is ensured that the emergency instruction transmission delay is reduced, and the response speed is increased compared with a single network scheme; and the accident risk caused by data delay or interruption is reduced.

The invention discloses a vehicle data transmission method and device, electronic equipment and a storage medium. The method is applied to a data sending end, and comprises the following steps: in response to a received data transmission instruction, determining to-be-transmitted data corresponding to the data transmission instruction and a data receiving end; determining a target compression algorithm based on target compression configuration information and the multi-dimensional decision information, the target compression configuration information being used for representing compression configuration information jointly supported by the data sending end and the data receiving end, the multi-dimensional decision information at least comprises two of the following: a network resource parameter, a computing resource parameter and a data attribute parameter of the to-be-transmitted data; compressing the to-be-transmitted data by using the target compression algorithm to obtain processed data; and transmitting the processed data to a data receiving end. According to the invention, the technical problem of low transmission efficiency and adaptability of vehicle data transmission in the prior art is solved.

The invention discloses an event flow assisted link self-adaption method and system oriented to the Internet of Vehicles, and belongs to the field of link self-adaption of the Internet of Vehicles, and the method comprises the steps: obtaining event flow data; inputting the event stream data into the trained depth estimation model to obtain the environment depth under the current time step; calculating the distance between the base station and the user equipment based on the event stream data and the environment depth under the current time step; and based on the distance between the base station and the user equipment, estimating a channel state and calculating a coding rate under the current time step so as to complete link self-adaption. According to the invention, dynamic sensing of the distance between the BS and the UE is realized by using the space-time correlation of the event stream, the time delay defect of a traditional feedback mechanism is overcome, the problem of inaccurate channel acquisition caused by traditional outdated feedback information is solved through visual information, the model calculation complexity is reduced, the coding rate performance is improved, and the spectrum efficiency is further improved.

Disclosed are a method for beam measurement and procedures for a TX UE and an RX UE for beam change in a sidelink. The method of a first UE disclosed herein may include transmitting a CSI request requesting a second UE to report CSI, wherein the CSI request is transmitted to the second UE through a different transmission beam for each of symbols in which a reference signal for the beam measurement is transmitted in a single SL slot.

The invention relates to the technical field of mining exploration, and discloses a surface mine mining system and method based on a three-dimensional model, and the system comprises a three-dimensional modeling module which is used for fusing earth surface and deep geological data to construct a dynamic digital twinborn body, receiving environment dynamic sensing data, and calculating rock mass stress and a water flow coupling field in real time; the mining planning module is used for generating a mining step design and equipment scheduling instruction based on the lithologic parameters and stress distribution of the dynamic digital twin; the equipment control module is used for converting the equipment dispatching instruction into centimeter-level action control signals of a mine truck and an electric shovel through a low-delay communication chain; and the monitoring feedback module is used for collecting mining surface deformation and muck pile characteristic data. Through the dynamic digital twinborn body fusing earth surface centimeter-level scanning and deep quantum detection and stress and water flow coupling field real-time calculation, synchronous visualization of the rock mass mechanical state and hydrological response is achieved, full-time-domain geological perspective capacity is provided for mining decision, and mining efficiency is improved.