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2055 results about "Vehicle networks" patented technology

Vehicle safety driving early warning method based on vehicle internet

InactiveCN103208205AAuxiliary driving decisionEffective hazard warning mechanismAnti-collision systemsAutomatic initiationsCommunication unitIn vehicle
The invention discloses a vehicle safety driving early warning method based on vehicle internet. Vehicle information data is sent to a network background server through a vehicle-mounted wireless communication unit, the network background server acquires information data of dangerous points on a road section where a vehicle is located according to the vehicle information data and sends the information data at the dangerous points on the road section to the vehicle-mounted wireless communication unit, a vehicle-mounted central processing unit compares obtained dangerous point information with self-vehicle information, a safety distance model is called to generate early warning parameters, and a vehicle-mounted alarm unit, a vehicle-mounted display unit and an electronic control braking system are controlled to perform early warning response. The vehicle safety driving early warning method based on the vehicle internet has the advantage that a network background server terminal provides the dangerous point information for a vehicle-mounted terminal, the vehicle-mounted terminal acquires and analyzes vehicle geographical position information and the dangerous point information on the road section where the vehicle is located in real time, the vehicle-mounted alarm unit, the vehicle-mounted display unit and the electronic control braking system are controlled to perform the early warning response, and the vehicle safety driving early warning method based on the vehicle internet has reliability and high efficiency of vehicle network data communication.
Owner:BEIHANG UNIV

Unmanned aerial vehicle network hovering position optimization method based on multi-agent deep reinforcement learning

The invention discloses an unmanned aerial vehicle network hovering position optimization method based on multi-agent deep reinforcement learning. The method comprises the following steps: firstly, modeling a channel model, a coverage model and an energy loss model in an unmanned aerial vehicle to ground communication scene; modeling a throughput maximization problem of the unmanned aerial vehicleto ground communication network into a locally observable Markov decision process; obtaining local observation information and instantaneous rewards through continuous interaction between the unmanned aerial vehicle and the environment, conducting centralized training based on the information to obtain a distributed strategy network; deploying a strategy network in each unmanned aerial vehicle, so that each unmanned aerial vehicle can obtain a moving direction and a moving distance decision based on local observation information of the unmanned aerial vehicle, adjusts the hovering position, and carries out distributed cooperation. In addition, proportional fair scheduling and unmanned aerial vehicle energy consumption loss information are introduced into an instantaneous reward function,the fairness of the unmanned aerial vehicles for ground user services is guaranteed while the throughput is improved, energy consumption loss is reduced, and the unmanned aerial vehicle cluster can adapt to the dynamic environment.
Owner:DALIAN UNIV OF TECH

Vehicle cooperative formation driving system

The invention discloses a vehicle cooperative formation driving system, belonging to the field of vehicle network-connected automatic driving. The vehicle cooperative formation driving system comprises a network layer, a link layer, a coordination layer, a control layer and a physical layer from top to bottom; wherein a vehicular unit in the network layer is communicated with a wireless router inthe link layer through a wireless network; the wireless router is communicated with a central service unit CSU and a road side unit RSU respectively through Ethernet; and the ZeroMQ communication is adopted by the central service unit CSU and the road side unit RSU. The vehicle cooperative formation driving system adds low cost vehicular sensors such as vision and millimeter wave radars, and integrates perception fusion, path planning and decision control into a same software architecture, so as to integrate vehicle road environment information, and achieve reliable vehicle formation driving function through high precision controllers; the vehicle cooperative formation driving system is in line with the development trend of the network-connected vehicle formation driving, which is highly modular and easy to expand function; and the decentralized following strategy can reduce the impact of network communication uncertainty.
Owner:HUBEI UNIV OF AUTOMOTIVE TECH

Internet of Vehicles distributed authentication method based on controllable privacy

The invention discloses an Internet of Vehicles distributed authentication method based on controllable privacy, relates to the field of vehicle network communication safety, and specifically relates to an Internet of Vehicles distributed authentication method based on controllable privacy. The method specifically includes five following steps: system initialization; private key update of fake names and a part of signatures; message signature; message authentication of signatures; and real identity tracking and revocation. According to the method, the double hash chain is employed to establish the fake names, the communication cost for invalidating a vehicle identity is irrelevant to the numbers of the fake names and a part of the signature private keys of the vehicle, a vehicle user can update multiple parts of signature private keys by the adoption of one authorization, and the burden of trusted authority (TA) and road-side units (RSU) is reduced; when a message with a controversial signature occurs, the TA can distinguish whether the signature is forged by the RSU according to re-signature of the message uploaded by the vehicle, and the problem of non-repudiation in the distributed environment is solved. According to the method, the security is high, the cost is low, and the method is applicable to node high-speed movement, topology structure volatility, and large-scale VANET network.
Owner:JIANGSU UNIV

Safe communication method of internal automobile network in Telematics

The invention discloses a safe communication method of an internal automobile network in the Telematics and mainly solves a problem of unsafe internal networks in the prior art. The method is characterized by comprising steps that, 1, a group of group keys is sent by a key electronic control unit to an electronic control unit to form an encrypted internal vehicle network; 2, the group keys are acquired by a gateway after being verified by the internal vehicle network and are complemented to the internal vehicle network; 3, a pair of keys used for encrypting communication information between external nodes and the gateway is generated by the key electronic control unit in the internal vehicle network to guarantee communication safety; and 4, during next-time communication, periodic update and change update for the group keys are carried out by the key electronic control unit based on demands. Through the method, communication confidentiality and integrity of the internal vehicle network are realized at minimum cost, playback attack is further prevented, each data of the internal vehicle internet can be prevented from being spied when a vehicle communicates with an external node or an external network, and real-time situations in the vehicle can be further protected.
Owner:XIDIAN UNIV

Intelligent resource allocation method in Internet of Vehicles

The invention discloses an intelligent resource allocation method in the Internet of Vehicles, which applies an artificial intelligence algorithm to solve the problem of resource allocation in a vehicle network so as to maximize the revenue of a network operator. Specifically, the method comprises: establishing a base station-roadside node combined vehicle edge calculation and cache resource scheduling framework to distribute requested resources for vehicles; establishing a network operator revenue function in combination with the operator revenue and the user experience quality to evaluate the resource distribution problem, and establishing a joint optimization problem to maximize the network operator revenue; solving the joint optimization problem through deep reinforcement learning, obtaining an intelligent task scheduling and resource distribution scheme, arranging the obtained scheme in an intelligent control system, and performing intelligent scheduling and arrangement on vehiclerequests and server resources. According to the intelligent resource distribution method in the Internet of Vehicles, the revenue of a network operator can be maximized while the user experience is considered, and a new idea and angle are provided for practical application of artificial intelligence.
Owner:DALIAN UNIV OF TECH

Beidou satellite monitoring safe driving system based on 3G network

The invention discloses a Beidou satellite monitoring safe driving system based on a 3G (third generation) network. The Beidou satellite monitoring safe driving system comprises a platform server positioned in a monitoring center and a monitoring terminal at a vehicle end, wherein the monitoring terminal is connected with the platform server through a network communication system; a monitoring platform, a database, SMS (short message service) and telephone service are operated on the platform server; and the monitoring terminal comprises a housing and a mechanism circuit arranged in the housing. According to the Beidou satellite monitoring safe driving system disclosed by the invention, under the concept of an inter-vehicle network, three major functions, namely positioning by a Beidou vehicle-mounted satellite, 3G wireless video monitoring and vehicle driving recording are firstly integrated, double-CPU (central processing unit) real-time processing, a DSP (digital signal processing) algorithm, an optimization transceiving queue scheduling algorithm, a double-code stream, a special file system, identity comparison identification and other technologies are integrated, video signals collected by a video camera are compressed, encoded and then converted to a compressed code stream, and real-time transmission is realized through the 3G network.
Owner:CHENGDU YIMENG HENGXIN TECH
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