38 results about "Inter vehicle communication" patented technology

The invention relates to the technical field of new energy vehicle-mounted data processing, and discloses a new energy vehicle vehicle-mounted data processing method and system based on intelligent networking, and the method comprises the steps: collecting and preprocessing data through a multi-source sensor, carrying out the slicing fusion of the data based on time-space correlation, and extracting features through a lightweight convolutional neural network. Constructing an inter-vehicle communication topology model to realize collaborative feature learning, adopting a federal learning framework to train the model and protect privacy, applying a reinforcement learning algorithm to make a decision, establishing a multi-objective optimization model, deploying a dynamic priority scheduling module to manage resources, and optimizing the model based on an incremental learning algorithm. The system covers a plurality of modules such as data acquisition and preprocessing, data dynamic slicing and fusion and the like. According to the method, the data processing efficiency and accuracy are improved, intelligent decision and multi-objective optimization are realized, data privacy is guaranteed, computing resources are reasonably distributed, and the overall performance of the new energy automobile in an intelligent network connection environment is improved.

The invention discloses a multi-vehicle cooperative driving control method and system for unmanned vehicles, and relates to the technical field of intelligent driving control, and the method comprises the steps: carrying out the multi-dimensional sensing of a plurality of unmanned vehicles, and obtaining a multi-dimensional sensing data set; environment modeling is carried out, and a dynamic traffic scene model is constructed; multi-vehicle path conflict analysis is carried out through the multi-vehicle cooperation platform, and a first path combination is generated; optimizing the first path combination according to the plurality of single-trajectory tracking results to generate a second path combination; and performing multi-vehicle intelligent cooperative driving control on the unmanned vehicle based on the multi-vehicle cooperative strategy. The technical problems that in the prior art, the environment sensing range of a single vehicle is limited, communication between vehicles is insufficient, complex and changeable traffic scenes are difficult to deal with, and consequently the multi-vehicle cooperative driving efficiency and safety are poor are solved, intelligent control over the unmanned vehicle in the dynamic traffic scene is achieved, and the driving safety is improved. The technical effect of improving the multi-vehicle cooperative driving efficiency and the driving safety is achieved.

The invention discloses a port internal and external fleet positioning system and method, and relates to the technical field of intelligent positioning. The method is used for solving the problems of frequent occurrence of positioning blind areas, sensitive dynamic interference, uncontrollable error accumulation and low anchor point resource scheduling efficiency in a complex scene of a port. Anchor point coverage is dynamically calculated through metal environment signal attenuation characteristics, blind area information is generated in combination with vehicle trajectory clustering, and signal resource allocation is optimized. Ground texture gray scale entropy segmentation and cross-frame Bayesian correlation are carried out in a blind area, interference is eliminated, synchronous pose data are generated, and visual positioning robustness is improved. An error propagation chain model is constructed based on communication topology among vehicles, accumulated errors are corrected by fusing confidence coefficients of multiple vehicles, and the motorcade positioning consistency is enhanced. And finally, analyzing a port scheduling plan and a vehicle motion state, constructing a space-time prediction model, dynamically generating an anchor point instruction, and realizing on-demand scheduling of anchor point resources. The port vehicle positioning precision and the resource utilization efficiency are remarkably improved, and reliable support is provided for port automatic operation.

A self-triggering unmanned vehicle distributed formation control method based on a double-triggering mechanism belongs to the field of unmanned vehicle distributed cooperative formation control, and comprises the following steps: S1, constructing a multi-agent consistency cooperative control framework; s2, constructing an intelligent vehicle cooperative control system driven by a dynamic situation field; s3, carrying out communication topology modeling between the vehicles; s4, a self-triggering mechanism is introduced, and correct triggering of communication is ensured by designing a double-triggering threshold function; s5, establishing a prediction model of the vehicle formation; and S6, the distributed model prediction controller controls accurate implementation of a formation transformation strategy. According to the invention, through combination of a self-triggering mechanism and distributed model prediction control, the control efficiency and precision of the unmanned vehicle formation are significantly improved; compared with the traditional method, the communication frequency is reduced, and the communication burden is reduced by 5%; when the vehicle runs on a curve, the vehicle track error is reduced and is 4% more accurate than that of a traditional method.

The invention discloses a multi-agent dynamic access and cooperation method for an air-space-ground Internet of Vehicles integrated architecture, provides a dynamic access decision scheme based on the air-space-ground Internet of Vehicles integrated network architecture, and aims to solve the problems of vehicle sensing range limitation and communication delay. Through multi-agent deep reinforcement learning, channel quality and load conditions of a ground network and a satellite network are evaluated in real time, and an optimal access mode is selected for a vehicle node. Meanwhile, in order to solve the problem of data asynchronization caused by communication delay between vehicles, clock inconsistency and transmission delay difference between a ground network and a satellite network, a Transform-based multi-agent cooperation mechanism is provided on the basis of a dynamic access architecture, time sequence coding is performed on asynchronous delay, sparse features of the vehicles are extracted, and the data asynchronization problem is solved. Effective processing of asynchronous data and accurate reconstruction of a global environment are realized at a core network end. According to the invention, more flexible and efficient dynamic access management and cooperation are realized.

The invention discloses a heterogeneous vehicle queue control method for cooperative communication and energy consumption optimization. A three-order heterogeneous multi-vehicle queue model, a dynamic event trigger mechanism module, a network update law evaluation module and an optimal queue controller module are included. Defining a local consistency error through heterogeneous vehicle formation information, and constructing a dynamic event triggering mechanism according to the local consistency error; according to the local consistency error and an error value output by the optimal queue controller module, designing an evaluation network weight updating law; and deriving the local consistency error to obtain the state of the local consistency error, and learning an optimal cost function and an optimization controller online in combination with an integral reinforcement learning algorithm and the evaluation network weight update law, so as to construct an optimal queue controller module. According to the method, the number of communication times between vehicles is reduced through a dynamic event triggering mechanism, and communication resources are saved. And meanwhile, the queue stability is realized in the optimal queue controller module, and the problem of minimization of energy consumption is solved.

A vehicle-mounted device is provided. The vehicle-mounted device has: a communication section capable of wireless communication achieved by cellular communication and inter-vehicle communication; and a control section that performs activation or deactivation of the cellular communication performed by the communication section, based on information acquired from a server. The control section acquires first information for activating the cellular communication from the server via other vehicles by inter-vehicle communication while the cellular communication is deactivated, and activates the cellular communication.

Techniques for determining location data usable to control a vehicle in an environment are discussed herein. A computing device can determine a position and / or pose of an autonomous vehicle based on an inter-vehicle communication with another autonomous vehicle from a fleet of autonomous vehicles. The autonomous vehicle can receive pose information and drive time data associated with the other autonomous vehicle for determining a current pose. The techniques can also include adjusting a predicted pose of the autonomous vehicle based on the pose information and the drive time data.

The invention relates to the technical field of vehicle communication, in particular to an inter-vehicle communication resource scheduling method, device and equipment, a vehicle and a storage medium. The method comprises the following steps: constructing a neighbor state table of a current vehicle; generating a communication graph and a conflict graph between the current vehicle and each neighbor vehicle according to the neighbor state table; determining a cluster head capability weight of the current vehicle according to the communication graph; determining cluster head capability weights of the neighbor vehicles; if it is determined that the cluster head capability weight of the current vehicle is greater than the cluster head capability weight of each neighbor vehicle, determining that the current vehicle is a cluster head; generating a resource scheduling table between the current vehicle and each neighbor vehicle according to the conflict graph; wherein the resource scheduling table is used for carrying out communication resource allocation on each neighbor vehicle. According to the method, the optimality and the adaptivity of cluster head election can be realized to adapt to network changes caused by vehicle movement, so that the reliability of V2V communication is effectively improved.

Systems and methods for increasing the efficiency of vehicle platooning systems are described. In one aspect, drivers are more likely to enjoy a system if it begins platooning as desired and does not accidently end platoons. When a certain amount of data packets sent between vehicles are dropped, systems typically will either not engage in a platoon or end a current platoon. When a platoon has a very small gap between vehicles, the platoon should end—or not start, when a certain amount of packets are dropped. However, if a gap is large enough to provide a driver with more time to react, a system may accept a greater amount of dropped packets before it refuses to start a platoon or causes the end of a platoon.

It is intended to provide a wireless vehicle-to-vehicle communication system arranged to be mounted on a front side position of a vehicle, equipped to provide inter-vehicle communication. The system comprises a wing assembly arranged to be mounted on a front side position of a vehicle. The wing assembly houses one or more digital communication antennas and has a side part housing a first antenna at a first height and / or horizontal position and a second antenna at a second height and / or horizontal position different from the first height and / or first horizontal position and sufficiently far away from other metal and / or electronic components in order to achieve the purpose of optimizing reception and / or transmission quality, e.g. by providing good coverage and diversity, and avoiding mutual interference.

An inter-vehicle communication system enables users to exchange messages, view locally-relevant information, and / or receive alerts. The system uses vehicle license plate numbers as an identifier for routing messages and other information to appropriate users. Note that although the term “license plate number” is used for convenience, it should be understood that this may include any combination of letters, numbers, or other characters displayed on a vehicle that identify the vehicle. Any given license plate number may be associated with multiple users and any given user may be associated with multiple license plate numbers. By modifying stored associations between users and license plate numbers, the ownership of a vehicle and other statuses of users relative to the vehicle (e.g., driver, passenger, etc.) may be updated. Thus, messages intended for a specified vehicle may be routed to the correct user or users.

Techniques for determining location data usable to control a vehicle in an environment are discussed herein. A computing device can determine a position and / or pose of an autonomous vehicle based on an inter-vehicle communication with another autonomous vehicle from a fleet of autonomous vehicles. The autonomous vehicle can receive pose information and drive time data associated with the other autonomous vehicle for determining a current pose. The techniques can also include adjusting a predicted pose of the autonomous vehicle based on the pose information and the drive time data.

Techniques are described for a full duplex communication method and apparatus for inter-vehicle communication (V2V). A communication apparatus includes one or more transmit antennas, one or more receive antennas, and a processor. For cases where a single transmit antenna and multiple receive antennas are used, a distance between the transmit and receive antennas is greater than a pre-determined value. Further, the transmit antenna is located on or in a central region of a top surface of the vehicle and the receive antennas are evenly distributed located on the vehicle. The processor configured to generate one or more messages to be transmitted via the transmit antenna, where the one or more messages includes vehicle condition information, operational information about a driver of the vehicle, or information associated with one or more sensors of the vehicle.

The apparatus for controlling group driving according to as aspect may include an inter-vehicle communication unit for communicating with a leader vehicle to receive the driving state and traveling track of the leader vehicle, a leader vehicle learning unit for learning a driving pattern of the leader vehicle based on the driving state of the leader vehicle received through the inter-vehicle communication unit, an autonomous drive unit for autonomously driving the follower vehicle in accordance with the traveling track of the leader vehicle, and a follow-up control unit for receiving the driving state of the leader vehicle to learn the driving pattern of the leader vehicle, controlling the autonomous drive unit to follow the traveling track of the leader vehicle, and performing the autonomous driving by applying the driving pattern of the leader vehicle.

A non-truck vehicle (100) comprising an inter-vehicle communication device (112) adapted to exchange negotiation information with at least one truck vehicle (122) in order to form a platoon (120) consisting of the non-truck vehicle (100) following exactly one truck vehicle (122), and adapted to receive platoon information when the platoon (120) exists, and a drive control device (110) adapted to control an intra-platoon distance (i) between the non-truck vehicle (100) and the truck vehicle (122) based on the received platoon information. According to a second aspect of the invention, a platoon (120) consisting of one truck vehicle (122) and a non-truck vehicle (100) adapted to drive behind said one truck (122). According to a third aspect of the invention, a method for forming a platoon (120) consisting of a first vehicle following a second vehicle, wherein one of the first vehicle and the second vehicle is a non-truck vehicle (100) and the other one of the first vehicle and the second vehicle is a truck vehicle (122).

The present invention discloses an intelligent cooperative caching strategy based on asynchronous federated learning and social perception in the Internet of Vehicles (IoV). The strategy includes: a user vehicle sends a cache request to a local RSU; a local RSU, nearby user vehicles, neighboring RSUs, and macro base stations with requested content are selected according to priority to respond to the user vehicle's cache request, and inter-vehicle communication uses a social network; after the user vehicle receives the request content, it uses the vehicle's local local model to update the local cache content, and updates the local local model based on the vehicle's local experience pool data; the selected vehicle uploads the updated local model to the local RSU; when the local RSU receives the local model, it updates the global model based on vehicle weights; and the local RSU uses the global model to update the local cache content based on the requested content of vehicles in its service area. The present invention uses DQN training under asynchronous FL to collaboratively update the cache, which can reduce the transmission delay of the request content and improve the cache hit rate.

The present invention seeks protection for a method for offloading tasks in a vehicle network with complex road conditions based on SFC, and belongs to the field of communication technology. In view of the problem that the diversity of vehicle movement directions and speeds in a vehicle network with complex road conditions may cause high time variability in network status, thereby leading to a decrease in network resource utilization and an increase in task offloading delay, a method for offloading tasks in a vehicle network with complex road conditions based on SFC is proposed. The method searches for cooperative vehicles to construct SFC mapping decisions based on the duration of the inter-vehicle communication link and the status of on-board computing resources, plans SFC resource allocation decisions based on the task delay requirements of vehicle users, and uses the mapping probability distribution of cooperative vehicles to iteratively optimize the SFC mapping decisions and resource allocation decisions, thereby maximizing network resource utilization, effectively improving the task offloading completion rate, and reducing the system unit task delay.

Systems and methods for correlating wireless communication performance with vehicle system configurations determine wireless message characteristics of wireless messages communicated between vehicles in vehicle systems and locations along a route where the wireless message characteristics were determined. The wireless message characteristics and the locations can be determined during movement of the vehicle systems along a route. Relative positions of the vehicles in the vehicle systems is obtained, and a signal propagation profile is determined based on the wireless message characteristics, the locations where the wireless message characteristics were determined, and the relative positions of the vehicles. The signal propagation profile can represent relationships between the wireless message characteristics, the relative positions of the vehicles, and the locations along the route. This profile can be used to control movement and / or communication of other rail vehicle systems, to generate trip plans for other vehicle systems, to diagnose communication faults, and the like.

The invention relates to a method and system for managing the driving of motor vehicles in a dangerous event situation, in particular of the slippery road type, comprising a phase of emitting an inter-vehicle transmission and then a phase of receiving the transmission, the method comprising the detection of an activation of an anti-locking system of the wheels or of an anti-skid system and the determination of an actual start position of the dangerous event.

Vehicle-to-vehicle communication device for a vehicle, the device comprising: - a transmitting element (22) for transmitting information about the vehicle to another vehicle in a predetermined transmission period; - a transmission control unit (16, 18) for controlling the transmission element; - a vehicle speed obtaining element for obtaining a speed of the vehicle; - a computing device (14, 16) for calculating the transmission period such that the transmission period becomes shorter as the speed of the vehicle increases; - a detector (24) for detecting a state of a display device (5a) in the vehicle; and - a speed determining element for determining whether the speed of the vehicle is greater than a predetermined speed, wherein - the display device (5a) informs a person around the vehicle about a condition and presence of the vehicle, and - the transmission control unit (16, 18) controls the transmission element (22) to transmit the information in a period shorter than the predetermined period calculated by the calculation device (14, 16) according to the speed of the vehicle when the detector (24) detects that the display device (5a) is operating and the speed determination element determines that the speed of the vehicle is not greater than the predetermined speed.

This invention discloses a braking control method, device, and storage medium that considers the real-time coefficient of adhesion. First, vehicle and road information is acquired through inter-vehicle communication and sensor devices. Then, based on this information, a safe distance model considering the coefficient of adhesion and based on the braking process is constructed. Finally, based on this model, the speed of the following vehicle is adjusted according to the braking control method. This invention designs a safe distance model considering the coefficient of adhesion and based on the braking process, solving the problem that Berkeley safe distance ignores the impact of changes in the road surface adhesion coefficient during braking on the braking distance; ensuring the stability of convoy following and the safety of the following vehicle in scenarios where the preceding vehicle brakes suddenly. This invention compares the proposed safe distance model with the Berkeley safe distance model to verify the accuracy of the calculated safe distance; finally, a convoy following scenario is simulated to verify the model's safety and stability.

Provided are system, method, and device for automatically manage communications between vehicles. According to embodiments, the system may include: a memory storage storing computer-executable instructions; and at least one processor communicatively coupled to the memory storage, wherein the at least one processor may be configured to execute the instructions to: receive an identification of a target vehicle from a server; obtain an identification of a nearby vehicle from the nearby vehicle; determine whether the identification of the target vehicle matches the identification of the nearby vehicle; and in response to determining that the identification of the target vehicle matches the identification of the nearby vehicle, transmit a current time and location to the server.

This invention relates to the field of vehicle communication technology, specifically to a method, apparatus, device, vehicle, and storage medium for scheduling communication resources between vehicles. The method includes: constructing a neighbor state table for the current vehicle; generating a communication graph and a conflict graph between the current vehicle and its neighboring vehicles based on the neighbor state table; determining the cluster head capability weight of the current vehicle based on the communication graph; and determining the cluster head capability weights of its neighboring vehicles; if the cluster head capability weight of the current vehicle is greater than the cluster head capability weights of all its neighboring vehicles, determining the current vehicle as the cluster head; and generating a resource scheduling table between the current vehicle and its neighboring vehicles based on the conflict graph; wherein the resource scheduling table is used to allocate communication resources to each neighboring vehicle. This invention can achieve optimality and adaptability in cluster head election to adapt to network changes caused by vehicle movement, thereby effectively improving the reliability of V2V communication.

The invention provides a map-based inter-vehicle communication system and method, and the system comprises a vehicle sensing module which is disposed on a current vehicle, and is used for recognizing other vehicles in a surrounding environment through a vehicle-mounted sensor, and generating a position parameter; the cloud collaboration module is configured to receive position parameters and communication identifiers uploaded by all vehicles and establish and dynamically update a'position-communication identifier 'mapping relation, and the map interaction module is configured to obtain mapping relation data from the cloud collaboration module, present vehicle icons on an electronic map and associate the icons with the communication identifiers of the corresponding vehicles in a background; the hybrid communication module is configured to support short-range communication and cellular network communication and automatically select an adaptive communication protocol to perform information transmission according to the communication capability supported by the target vehicle; and the security protection module is associated with the hybrid communication module and is configured to perform identity verification on both communication parties and perform encryption processing on transmission data.

The invention relates to the technical field of traffic signal control, and discloses a yielding signal flasher light control system, which comprises the steps of hardware initialization and integration, intention detection and verification, activation signal broadcast and adaptive control, feedback loop and interrupt processing and fault diagnosis and closing. The steering wheel is embedded into a capacitive multi-point touch sensor, supports clockwise and anticlockwise sliding to be activated and closed, is accessed to a controller local area network bus and is linked with an inertial measurement unit module; the method is based on a dedicated short-distance communication protocol or a cellular vehicle-to-everything communication protocol. Intention verification is activated through acceleration change rate and traffic density confirmation; broadcasting a speed change rate and a state after activation; fault self-diagnosis current abnormity rapidly flickers and broadcasts warning, slides or closes the system through voice. The capacitive multi-point touch sensor is combined with acceleration change rate verification of the inertial measurement unit module and traffic density auxiliary confirmation of the inter-vehicle communication module, so that mistaken touch operation is avoided, and signal starting under complex road conditions is adapted.

System (1), comprising: a processor (3) designed to: to detect an emergency condition of a primary vehicle (301); to determine that communication with emergency services is not possible through an onboard device (303); to search for a secondary vehicle with vehicle-to-vehicle communication capabilities (201); to send an emergency communication request to the secondary vehicle (209) in order to establish a communication link with the secondary vehicle (211); to send prioritized emergency data to the secondary vehicle (213); and the processor (3) is designed to receive confirmation from the secondary vehicle that an emergency request has been sent (215) to request assistance for the primary vehicle, characterized by the fact that the processor (3) is designed to send instructions to terminate emergency requests from additional secondary vehicles as soon as acknowledgment is received (221).

Cooperative vehicle, comprehensive: a vehicle-to-vehicle communication module; and a cooperative adaptive speed control module for: Determining the location of a traffic cataract; Coordinate with other cooperative vehicles to position themselves across multiple traffic lanes; Coordinate with other cooperative vehicles to form a platoon of standard vehicles; and Coordinate with the other cooperative vehicles to move the formed platoon through the traffic cataract at a constant speed.

The present invention discloses a system and method for positioning fleets inside and outside ports, and relates to the field of intelligent positioning technology. It is used to solve the problems of frequent positioning blind spots, sensitivity to dynamic interference, uncontrollable error accumulation, and low efficiency in anchor resource scheduling in complex port scenarios. The anchor point coverage is dynamically calculated through the signal attenuation characteristics of the metal environment, and the blind spot information is generated in combination with vehicle trajectory clustering to optimize signal resource allocation. Ground texture grayscale entropy segmentation and cross-frame Bayesian correlation are performed in the blind spot to eliminate interference and generate synchronized posture data, thereby improving the robustness of visual positioning. An error propagation chain model is constructed based on the inter-vehicle communication topology, and the confidence weights of multiple vehicles are integrated to correct the accumulated error and enhance the consistency of fleet positioning. Finally, the port scheduling plan and vehicle motion status are analyzed, and a spatiotemporal prediction model is constructed to dynamically generate anchor point instructions to realize on-demand scheduling of anchor point resources. Significantly improve the positioning accuracy and resource utilization efficiency of port vehicles, and provide reliable support for port automation operations.

Disclosed is a transmitter vehicular control system (110) of a transmitting vehicle (104). The transmitter vehicular control system comprises: a transmitter memory (114) storing transmitter machine executable instructions (130); a transmitter computational system (112). Execution of the transmitter machine executable instructions causes the transmitter computational system to: control (200) an optical display system (120) of the transmitting vehicle to generate an optical display (122) using optical display commands (132); receive (202) transmitter location data (134) from a location system (118) of the transmitting vehicle; construct (204) optical display metadata (136) from the optical display commands (132) and the transmitter location data (134); broadcast (206) the optical display metadata via a wireless inter-vehicle communication system (108).