64results about "Particular environment based services" patented technology

A drive test locating method and device. The method comprises: determining fixed stop sampling points of a test vehicle in drive test data (101); according to identification information about a serving cell of the fixed stop sampling points of the test vehicle in the drive test data and line information matching with the drive test data, determining location information about the fixed stop sampling points of the test vehicle (102); and according to the line information, determining location information about sampling points operating among the fixed stop sampling points of the test vehicle in the drive test data (103). Thus, locating the sampling points in the drive test data can be completed efficiently and accurately, and the execution cost is low.

The invention is applicable for use in conjunction with a system for connected vehicle communications in which each vehicle in the system is issued a limited number of unique pseudonym certificates that are used by the vehicle to establish trust in messages sent by the vehicle by signing each message with a pseudonym certificate. A method is set forth for selecting a pseudonym certificate for use, from among the vehicle's pseudonym certificates, so as to protect the privacy of the vehicle's activity against attacks by eavesdroppers, including the steps of: tracking and storing vehicle location data; computing, from inputs that include the vehicle location data, the vehicle's relative achievable anonymity in particular geographical regions; prioritizing the pseudonym certificates; and selecting a pseudonym certificate for use from among the pseudonym certificates having a priority that is determined by the relative achievable anonymity for the geographical region in which the certificate is to be used. The method includes authenticating a safety message using the selected pseudonym certificate, and transmitting the authenticated message.

A method in which a first apparatus performs wireless communication and an apparatus supporting the same are provided. The method may include: receiving information related to a physical sidelink feedback channel (PSFCH) resource from a base station; receiving a physical sidelink shared channel (PSSCH) from a second apparatus; and transmitting a PSFCH related to the PSSCH to the second apparatus. Here, the information related to the PSFCH resource may include, for example, information related to a resource block (RB) available for the first apparatus to transmit the PSFCH.

The invention discloses a resource joint allocation method based on deep reinforcement learning in Internet of Vehicles. The method comprises the following steps: S1, constructing an Internet of Vehicles communication scene including vehicle-to-infrastructure communication and infrastructure-to-data center communication; S2, a base station collecting resource state information which can be allocated to vehicle nodes by communication cell infrastructure, and taking the resource state information as an input state of a deep reinforcement learning network DQN; S3, taking the connection state of the vehicle nodes and the infrastructure as an output action; S4, establishing an optimization model by taking maximization of the total throughput of vehicle node request tasks in a communication cell as a target; S5, designing a DQN reward function and a network structure, and training the DQN; and S6, according to the input state of the vehicle nodes, the DQN outputting an action with the maximum Q value as communication of the vehicle nodes, and calculating and caching a resource allocation strategy. According to the method, the joint allocation problem of communication, calculation and cache resources in the Internet of Vehicles is solved with lower complexity.

The invention relates to a method for automatic recognition between a mobile electronic device (SP) and a motor vehicle (Vi) equipped with an electronic communication module (120), said mobile electronic device (SP) and the electronic module (120) of the vehicle (Vi) being capable of operating according to the BLE protocol, the mobile electronic device (SP) being in a 'scanning' mode and the electronic communication module (120) of the vehicle (Vi) being in an 'advertising' mode characterised in that it comprises various steps consisting of: - in the electronic module (120) of the vehicle (Vi), obtaining identification data (RPAi) of the vehicle (Vi); - transmitting at least one data frame (Td) comprising the identification data (RPAi) of the vehicle (Vi), from the electronic module (120) of the vehicle (Vi) to the mobile electronic device (SP); - receiving the at least one data frame (Td) containing the identification data (RPAi) of the vehicle (Vi), in the mobile electronic device (SP) set in 'scanning' mode; - checking, in the mobile electronic device (SP), that the transmitted identification data (RPAi) is valid, then transmitting a connection request (110) from the mobile electronic device (SP) to the electronic module (120) of the vehicle (Vi).

The invention discloses a smart-key-free vehicle control system and method. The smart-key-free vehicle control system comprises a head unit, an application program, a communication part, a vehicle body control module, a starting button and a control part, wherein the head unit is provided with passwords used for operation and can generate QR codes, the application program is arranged at a user terminal and can scan the QR codes, the communication part is connected with the application program, the vehicle body control module controls a vehicle according to a remote control signal of the application program, the starting button is formed in the vehicle and generates a starting (ON) signal through button input, and the control part controls starting of the vehicle.

The invention discloses a vehicle-mounted unit awakening method, device and system. The method comprises the following steps of obtaining at least one group of traffic flow images of a target area according to a target detection algorithm, wherein a traffic flow image is obtained through real-time shooting of a camera device corresponding to the target area, acquiring a traffic flow detection result located in the target area in real time according to the traffic flow image, and determining whether a vehicle-mounted unit located in the target area is awakened through a roadside unit corresponding to the target area or not according to the traffic flow detection result; when determining that the vehicle-mounted unit is awakened, sending an awakening signal to the vehicle-mounted unit through the roadside unit located in the detection area, so that the vehicle-mounted unit in the dormant state is awakened; when the vehicle-mounted unit is not awakened, indicating that the vehicle-mountedunit is in a dormant state, and when determining that the vehicle-mounted unit needs to be awakened according to actual road conditions, enabling the roadside unit to awaken the vehicle-mounted unit,so that the vehicle-mounted unit is prevented from being in an awakened state for a long time, the service life of the vehicle-mounted unit is prolonged, and energy consumption is reduced.

The invention discloses a square root volume filtering method based on mixed information weighting consistency, belongs to a sensor information fusion technology, and relates to a distributed nonlinear state filtering problem. The filtering method comprises the following steps: firstly using a square root volume rule to obtain a prediction information vector and an information matrix square root factor of each node for the target state; then, based on the observation information and state prediction information of each node, calculating the corresponding local measurement information vector and the information matrix square root factor; finally obtaining consistency state prediction information, measurement information and a measurement normalization factor through the information interactive consistency iteration between neighbor nodes, and updating the estimated state of the target by weighted fusion. The filtering method effectively solves the problem of over-estimation of the nodestate under the condition of limited number of iterations, improves the consistency convergence rate and estimation precision of the state information, and improves the numerical stability of the filtering method.

The invention discloses a vehicle scheduling management platform and method based on parallel Internet of Vehicles, and the platform comprises a user terminal, a communication system, and a cloud management platform. the user terminal and the communication system employ a DSRC technology or an LTE- V technology; the cloud management platform comprises a manual cargo transport vehicle scheduling system, ,an actual freight vehicle scheduling system, a calculation experiment module and a parallel execution module; the calculation experiment module comprises an experiment design unit, an experiment execution unit and an experiment evaluation unit; and the parallel execution module comprises a learning and training unit, an experiment and evaluation unit and a management and control unit. According to the vehicle scheduling management platform and method based on the parallel Internet of Vehicles disclosed by the invention, the transportation management accuracy can be realized, the transportation management visualization is realized, and the economic benefit is improved.

The embodiment of the invention provides an automatic parking method and device based on PC5 air interface direct communication. The method comprises the steps of obtaining a starting point position and an ending point position corresponding to a vehicle going in and out of a parking area; planning a driving path of the vehicle according to the starting point position and the terminal point position; transmitting the driving path to a vehicle-mounted terminal of the vehicle through a roadside unit located in the parking area so as to control the vehicle to automatically drive according to thedriving path, wherein the roadside unit is communicated with the vehicle-mounted terminal through a PC5 direct communication interface in a unicast or multicast mode so as to achieve synchronous control over automatic driving of a plurality of vehicles, and therefore the problems that in an existing parking scene, parking spaces are difficult to find, the parking spaces are difficult to fully utilize, operation is difficult during parking, and vehicle finding is inconvenient after parking are solved.

The invention relates to the technical field of milk powder traceability and reasonable sales in infant foods, in particular to a traceability system for tracking, recording and displaying the whole process of milk powder production, processing, packaging and transportation to consumers, and an intelligent sales system for subsequent manufacturers to intelligently make corresponding processing methods according to milk powder sales conditions. On the basis of the established database, the traceability system forms a public and transparent milk powder production process. According to the technology, through various modules and systems, various steps and various effective related data in milk powder production need to be uploaded and stored in a database in real time, so that consumers can directly scan milk powder product codes through mobile terminals to check the milk powder product codes conveniently, and the sense of safety is improved. The reasonable sales system communicates withthe central processing unit through sales conditions in the database to make corresponding reasonable judgments. The technology not only can reasonably plan sales for manufacturers, but also can solvevarious conditions in sales by communicating with the central processing unit, so that consumers are guaranteed in right protection.

The invention provides a positioning sensor data sharing method and system based on a vehicle-mounted terminal, and the vehicle-mounted terminal. The positioning sensor data sharing method comprises the following steps: acquiring first positioning sensor data collected by an intelligent terminal located at the same vehicle with the vehicle-mounted terminal; acquiring second positioning sensor datacollected by a vehicle-mounted positioning module; and positioning the vehicle based on the first positioning sensor data and the second positioning sensor data. Through the positioning sensor data sharing method and system based on the vehicle-mounted terminal, and the vehicle-mounted terminal provided by the invention, the well vehicle positioning is realized by sharing the positioning sensor data respectively collected by the shared vehicle-mounted terminal and the intelligent terminal, thereby greatly improving the positioning precision.

The invention discloses an emergency message transmission method based on D2D communication in the Internet of vehicles. Firstly, a priority index is established for a vehicle set within the safety range of a vehicle, and D2D connection pairs are established in sequence according to the order of priority index from small to large to transmit messages; and distance prediction is carried out on vehicles outside the safety range, a priority index is established according to the predicted distance, and D2D connection pairs are established in sequence according to the order of priority index from small to large to transmit messages. If there are the same priority indexes, the vehicles in the same lane are selected first. According to the invention, timely transmission of security warning information based on D2D communication is realized, and security warning is carried out. Therefore, the technical problem that security information cannot be disseminated in time is solved, the traffic information transmission performance is improved, and the method has high reliability and real-time performance.

The present invention discloses a vehicle mode starting method and system and an intelligent vehicle mobile phone holder. The method comprises the steps of: establishing communication with an intelligent vehicle mobile phone holder; reading identification information of an NFC tag on the intelligent vehicle mobile phone holder; determining whether the identification information is identification information in a vehicle mode or not, and if yes, starting a vehicle mode interface. Through adoption of the near-field communication technology, the communication between a smart phone and the vehiclemobile phone holder is achieved, through arrangement of the NFC Tag on the intelligent vehicle mobile phone holder, the intelligent terminal reads the vehicle mode information to rapidly and automatically open the vehicle mode with no need for frequent manual operation by users so as to facilitate user checking and control.

The invention relates to a three-dimensional positioning method, device and system based on a wireless sensor network and a computer readable storage medium. The method comprises the following steps of respectively computing a reference hop distance of each anchor node in the wireless sensor network; computing an average value of the reference hop distances of the anchor nodes in the wireless sensor network, and acquiring a correction hop distance of each anchor node according to the average value; and acquiring minimum hop count of an unknown node and the anchor nodes in the wireless sensor network, and determining positioning coordinates of the unknown node according to the correction hop distance and the minimum hop count. According to the three-dimensional positioning method based on the wireless sensor network, the average value of the reference hop distances of the anchor nodes is computed, the correction hop distance of each anchor node is acquired, and the positioning coordinates of the unknown node are determined, so that an accidental error between different anchor nodes can be effectively eliminated, and the accuracy of positioning the unknown node in the three-dimensional positioning is improved.

An air traffic control system includes one or more servers each including a network interface, a processor, and memory; and a database communicatively coupled to the one or more servers, wherein the network interface in each of the one or more servers is communicatively coupled to one or more passenger drones via a plurality of wireless networks at least one of which comprises a cellular network; wherein the one or more servers are configured to obtain operational data from a passenger drone, obtain conditions from one or more of the operational data and the database, determine a future flight plan based on the operational data and a flying lane assignment for the passenger drone, determine potential collisions in the future flight plan based on static obstructions and dynamic obstructions, obtained from the database based on the future flight plan, and provide evasive maneuver instructions to the passenger drone.

The invention provides a vehicle video recording system and method, and a storage medium. The vehicle video recording system comprises camera devices, intelligent positioning modules, electronic fences, and a cloud server, wherein the intelligent positioning modules are mounted on vehicles to be monitored; the electronic fences are fixed in areas to be monitored; the camera devices are used for carrying out video recording on the vehicles to be monitored; and the cloud server is used for sending video recording commands to the camera devices and storing video information sent back by the camera devices. The vehicle video recording system and method and the storage medium provided by the invention have the advantages of low implementation cost, wide application range and high monitoring efficiency, and can be widely applied to motor vehicles and non-motor vehicles; and through a cloud-based platform, multiple vehicles can be monitored at the same time without confusion.

The invention provides a movable wireless charging system based on automatic cruise of an unmanned aerial vehicle. The system employs the unmanned aerial vehicle with an autonomous path planning function as a moving means of wireless charging equipment, and charges a built-in battery in an application occasion where a wireless sensor network is arranged in a large scale. The system comprises an unmanned aerial vehicle control module, an airborne positioning module, an airborne wireless charging device, an unmanned aerial vehicle start-stop wireless charging platform, a communication module, aplatform built-in control center and a cloud server. By applying the technical scheme, autonomous path planning can be realized, and the wireless charging equipment is carried to be positioned to a specified position to charge the built-in battery of a wireless sensor network node.