24 results about "Basic safety message" patented technology

A system is provided for implementing an upstream message selection system that dynamically changes a message type for a cooperative vehicle platoon such that traffic congestion is mitigated and the damping properties of the platoon tail are improved. The upstream message selection system analyzes the current traffic conditions in a real-real time driving scenario to determine when increasing a frequency of transmitting messages are failing to sufficiently mitigate a traffic disturbance. The upstream message selection system determines that increasing the transmission rate of basic safety messages (BSMs) is sufficiently attenuating a traffic disturbance in a real-real time driving scenario. In response to detecting that increasing the frequency of BSMs is failing to efficiently attenuate a traffic disturbance, the upstream message selection system dynamically changes the message type from BSM to an intent maneuver message for the upstream vehicles based on the downstream response to a disturbance within the platoon.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) (e.g., a vehicle, low-power sensor) may identify that the UE satisfies a set of conditions for a stationary state. The stationary state may be associated with a configuration for transmitting a position message (e.g., a basic safety message (BSM)) while the UE satisfies the stationary state. The UE may identify a periodicity at which to transmit the position message based on the UE satisfying the set of conditions for the stationary state, where the periodicity associated with a stationary state may be larger than a periodicity associated with a non-stationary state. The UE may transmit (e.g., broadcast) the position message over a sidelink in accordance with the configuration and based on identifying that the UE satisfies the set of conditions for the stationary state.

The present invention relates to a method for communication during a group ride, in which several vehicles (611, 612, 613, 621, 622, 623, 631, 632, 633) are each equipped with a GPS sensor and means for V2X communication and internet communication, in which, in a first step, a vehicle group with at least two vehicles located within a V2X transmit / receive range (602, 603) is formed as respective group participants by means of internet communication, by transmitting a respective ID data record from each group participant, which includes the name of a driver and a V2X sender ID of the respective vehicle, to a backend server, and from the backend server a group data record with all group participants is transmitted to each vehicle, and in which, in a second step, a group ride is carried out by means of V2X communication.by managing the V2X Basic Safety Messages containing status information from all vehicles in each vehicle, assigning the vehicle with the shortest distance to a destination as the lead vehicle, and continuously generating a map with the route and GPS positions of all group participants in each vehicle by a control unit of the respective vehicle, and displaying the map on a display unit for the respective driver.

A roadside unit (RSU) receives, from a first set of on-board units (OBUs) of a first set of vehicles, messages describing events triggered by the first set of OBUs in response to basic safety messages (BSMs). Each BSM is received by a vehicle from the RSU or another vehicle over a PC5 interface. Each vehicle is operating at less than a threshold distance from the RSU. A timestamp is assigned to each event. A feature vector is extracted from the timestamped events. A machine learning model generates an update to functionality of the RSU based on the feature vector. The machine learning model is trained to update the functionality for vehicular management. The RSU is operated using the updated functionality to communicate with a second set of OBUs of a second set of vehicles for preventing vehicular collisions among the second set of vehicles.

Embodiments include systems and methods for automatically populating safety messages (such as basic safety messages (BSMs)) with the positions and combined lengths of the vehicle and the towed object. Some embodiments include determining the distance from one or more antennas coupled to a receiver in the vehicle to the remote sensor on the towed object by processing short-range wireless signals received from a remote sensor. Some embodiments include populating the safety message with the positions of the vehicle and the towed object based on the determined distances from the one or more antennas to the remote sensor.

The invention relates to the technical field of vehicle control, in particular to a vehicle forward collision early warning method, a computer program product, electronic equipment and a storage medium. The vehicle forward collision early warning method comprises the following steps: acquiring an Internet of Vehicles basic safety message sent by a remote vehicle, wherein the basic safety message comprises a remote vehicle position and a remote vehicle speed; determining a rectangular area in front of the driving direction of the vehicle according to the position, the direction angle and the speed of the vehicle; if the position of the far vehicle is located in the rectangular area, determining a safe distance between the two vehicles according to the speed of the far vehicle and the speed of the vehicle; according to the size relation between the longitudinal distance and the safety distance between the two vehicles, forward collision early warning is conducted on the vehicle. According to the invention, the accuracy and real-time performance of forward collision early warning can be improved.

The present invention relates to an operation method of a V2X device when a plurality of V2X devices are present within a vehicle, and the operation method of the V2X device may comprise the operations of: determining whether or not the V2X device is present within the vehicle; if the V2X device is present within the vehicle, determining whether the V2X device needs to act as a driver or a passenger; when it is determined that the V2X device acts as the driver, transmitting a vehicle basic safety message in which the user type is set as the driver; and when it is determined that the V2X device acts as the passenger, transmitting a vehicle basic safety message in which the user type is set as the passenger.

The application discloses a V2X trust management system based on Mamba and a block chain, which utilizes a deep neural network Mamba deployed at a base station to detect whether a basic safety message broadcast by a vehicle is abnormal in an unsupervised sequence reconstruction manner. A detection result is converted into a 'positive interaction' or 'negative interaction' record representing a vehicle behavior and stored in a block chain module jointly maintained by the base station. When it is necessary to evaluate vehicle trust, the base station inquires all interaction histories of the vehicle from the block chain module and calculates a dynamic trust value of the vehicle based on a Beta distribution expectation. The application innovatively combines a powerful abnormal detection capability of deep learning and decentralized and tamper-proof characteristics of a block chain, realizes effective identification of attacks in a vehicle network and distributed trust management, and solves a single-point failure problem of a centralized scheme.

A method performed by a communication apparatus according to an aspect of the present disclosure includes calculating (400, 530) a generation interval and transmit power of a basic safety message used for Vehicle-to-Vehicle, V2V, safety communication, based on a channel busy ratio which is a ratio of time during which a channel is busy and on vehicle density within a predetermined range, and transmitting (500), based on the generation interval and the transmit power, the basic safety message over a PC5 reference point specified in a technical specification of the 3rd Generation Partnership Project, 3GPP.

The system is provided with a roadside unit (RSU) transceiver equipped with a sensor suite consisting of one or more electro-optic sensors, camera sensors, thermal imaging sensors, lidar sensors, ultrasonic sensors, and / or radar sensors, and capable of receiving authenticated participant Society of Automotive Engineers (SAE) standard J2735 basic safety messages, RTK-corrected GNSS positioning data, and SAE standard J3224 sensor data sharing messages. The system may include one or more processors programmed or configured to receive data from the system's own sensor suite, reporting transceiver, and other network-connected devices, and to construct high-reliability object actor detection, classification, and tracking perception messages representing object actors within the system's field of view for use in other internal system processes, and to transmit them to other external devices for use.

The invention relates to the technical field of Internet of Vehicles security, in particular to an Internet of Vehicles false data injection attack detection method based on federated learning, which comprises the following steps: firstly, remodeling the original features of a vehicle basic security message through a time window, and processing spatial input features by a sliding alignment strategy; then, a BiLSTM is used for capturing a time sequence dependency relationship, and a lightweight Transform parallel modeling global space relationship is designed; and further dynamically calculating an attention score through a feature fusion weight matrix, realizing double-branch dimension-level dynamic weighting, performing dimension reduction in combination with a difference pooling strategy, and coupling a classifier. And the road side unit performs global aggregation based on a weighting strategy of node reputation and contribution degree, and distributes the global aggregation to node vehicles for a new round of incremental training. The method effectively solves the problem that traditional centralized learning cannot give consideration to privacy protection and lightweight calculation in the detection of the false data injection attack of the Internet of Vehicles, and remarkably improves the detection effect of the false data injection attack.

Various embodiments include methods and systems for vehicle-to-everything (V2X) system of a vehicle for managing processing of a basic safety message (BSM). Various embodiments may include calculating a relevancy value of a received BSM prior to conducting security processing of the BSM, determining whether the relevancy value of the BSM meets a relevancy threshold, and stopping processing of the BSM in response to determining that the relevancy value of the BSM does not meet the relevancy threshold.

Provided a Road Side Unit (RSU) transceiver enabled to receive authenticated participant Society of Automotive Engineers (SAE) standard J2735 Basic Safety Messages, RTK corrected GNSS positioning data, SAE standard J3224 Sensor Data Sharing Messages and equipped with a sensor suite consisting of one or more electro-optical sensors, camera sensors, thermal imaging sensors, lidar sensors, ultrasonic sensors, and or radar sensors; the system may include one or more processors programmed or configured to receive data from the system's own sensor suite, reporting transceivers and other network connected devices, to construct high confidence object-actor detection, classification, and tracking perception messages representing the object-actors in the system's field of view for use in other system internal processes and transmit to other external devices for use.

The present invention discloses a vehicle-road cooperative data processing method and related equipment, which relate to the field of communication technology, in order to solve the problem in related technologies that the security and reliability of roadside perception data are poor, thereby affecting the security and reliability of vehicle-road cooperative information services. The method includes: obtaining N groups of roadside perception data of the target road section; obtaining M groups of basic safety message BSM data of the target road section; making a confidence judgment on the i-th group of roadside perception data based on the i-th group of roadside perception data and the M groups of BSM data, where i takes values from 1 to N in sequence; outputting K groups of roadside perception data whose confidence meets the requirements among the N groups of roadside perception data, where K is a positive integer less than or equal to N; providing vehicle-road cooperative information services to traffic objects on the target road section based on the traffic data on the target road section, where the traffic data includes K groups of roadside perception data. The embodiments of the present invention can improve the security and reliability of roadside perception data, thereby ensuring the security and reliability of vehicle-road cooperative information services.

A message hop-based communication method of guaranteeing real-time communication in a vehicle communication environment may comprise: receiving, by a first on-board unit (OBU) of a first vehicle, a first message including a message frame (MF) for probe vehicle data (PVD) from a road side unit (RSU); and transmitting a second message, including an MF for a basic safety message (BSM), to a second OBU of a second vehicle, the second message corresponding to the first message, wherein the PVD and the BSM each comprise a data frame for a hopping request.

A roadside unit (RSU) receives, from a first set of on-board units (OBUs) of a first set of vehicles, messages describing events triggered by the first set of OBUs in response to basic safety messages (BSMs). Each BSM is received by a vehicle from the RSU or another vehicle over a PC5 interface. Each vehicle is operating at less than a threshold distance from the RSU. A timestamp is assigned to each event. A feature vector is extracted from the timestamped events. A machine learning model generates an update to functionality of the RSU based on the feature vector. The machine learning model is trained to update the functionality for vehicular management. The RSU is operated using the updated functionality to communicate with a second set of OBUs of a second set of vehicles for preventing vehicular collisions among the second set of vehicles.

The invention discloses a vehicle cloud data efficient distribution method and device, equipment, a storage medium and a product, and relates to the technical field of network communication, and the method comprises the steps: determining a message region of interest ROI through traffic scene semantics in a BSM message generated by a vehicle; obtaining spatio-temporal information of the ROI, and generating a packaging message based on the spatio-temporal information; establishing a local PDU session to the edge cloud according to the ROI, and uploading the packaging message to an edge cloud MEC according to the local PDU session; the MEC analyzes the packaged message, extracts the spatio-temporal information and the BSM message in the packaged message, and forwards the BSM message to the target vehicle node in the ROI according to the ROI position information, through the above vehicle cloud data efficient distribution based on cellular communication, the transmission time delay is reduced, each vehicle in the ROI can access the cloud data network through cellular communication to receive the distribution data, and the efficiency of the vehicle cloud data distribution is improved. And the vehicle cloud communication efficiency is optimized.

The invention relates to a cooperative emergency braking method and system based on V2V communication and a medium, and relates to the technical field of vehicle active safety, the method comprises the following steps: receiving a basic safety message broadcasted by a front vehicle through V2V communication, and analyzing flag bit information representing an emergency braking state in the basic safety message; fusing the flag bit information with environmental perception data acquired by a vehicle sensor, and evaluating a collision risk level; generating a graded braking instruction according to the collision risk grade; and executing the graded braking instruction, and broadcasting the emergency braking state information of the vehicle to a rear vehicle through V2V communication. According to the method, the sensing range can be expanded, risks can be early warned in advance, the braking opportunity is optimized, and therefore the response speed and safety performance of an emergency braking system are improved.

Embodiments of the present application provide a detection device and a detection method, which can detect whether a V2X module in a smart connected vehicle has a security certificate fault. The detection device comprises: a touch display screen, configured to send a detection instruction to a first vehicle-mounted unit when a start instruction for a detection option is detected; the first vehicle-mounted unit, configured to start receiving a basic safety message sent by a second vehicle-mounted unit in a receiving vehicle in response to the detection instruction; if the basic safety message does not carry a security certificate, send a first state update instruction to the touch display screen, the first state update instruction carrying a first fault identifier representing a security certificate fault of the second vehicle-mounted unit; and the touch display screen is further configured to determine and present first alarm information based on a corresponding relationship between the fault identifier and the alarm information, wherein the first alarm information is used to indicate the security certificate fault of the second vehicle-mounted unit.