443 results about "Connected vehicle" patented technology

A vehicle parking spot locator system and method are provided. The system includes a database storing data pertaining to the parking spot locations including available parking spot locations, and a communication link for communicating with a vehicle and other sources. The communication link receives parking spot location information including information pertaining to availability of parking spot locations and further provides vehicles with parking spot location information to assist in locating a parking spot location. The system further includes a processor for processing the stored data in the database and providing parking spot location information to vehicles. The processor is configured to predict which open parking spot is closest to a desired destination and will be available when the vehicle arrives at the desired destination.

In one example, we describe a method and infrastructure for DSRC V2X (vehicle to infrastructure plus vehicle) system. In one example, some of connected vehicle applications require data from infrastructure road side equipment (RSE). Examples of such applications are road intersection safety application which mostly requires map and traffic signal phase data to perform the appropriate threat assessment. The examples given cover different dimensions of the above issue: (1) It provides methods of RSE of interest selection based solely on the derived relative geometric data between the host vehicle and the RSE's, in addition to some of the host vehicle data, such as heading. (2) It provides methods of RSE of interest selection when detailed map data is communicated or when some generic map data is available. (3) It provides methods of RSE of interest selection when other vehicles data is available. Other variations and cases are also given.

A content management (CM) system is provided to centrally control operation of one or more connected devices by issuing control requests and / or data requests. In some situations the connected device(s) include devices that control presentation of television programming-related content, such as digital video recorder (“DVR”) devices and media center devices, and in other situations may include other types of media devices and / or other electromechanical (“E / M”) devices that may be centrally controlled, such as E / M devices for home automation that may operate independently or in conjunction with the media devices. In some situations, the CM system communicates with the connected devices via a network and using appropriate protocol(s), and may be accessed remotely via a network so as to allow a user to remotely operate the CM system. The CM system may further control searching, identification, selection, and presentation of pieces of media content by the connected device(s).

A tractor and a trailer are connected together and a camera is installed on the trailer side of the connected vehicles. The camera captures images behind the trailer. A driving assistance system projects the captured images on bird's-eye view coordinates parallel with a road surface to convert the images into bird's-eye view images and obtains on the bird's-eye view coordinates an optical flow of a moving image composed of the captured images. The connection angle between the tractor and the trailer is estimated based on the optical flow and on movement information on the tractor, and further, a predicted movement trajectory of the trailer is obtained from both the connection angle and the movement information on the tractor. The predicted movement trajectory is overlaid on the bird's-eye view images and the resulting image is outputted to a display device.

A road furniture item or another type of road object is detected by at least one sensor. An associated geographic position associated with the road furniture item or road object is determined. After a predetermined time is reached, the geographic position is compared to a local database. A remote database is updated after the predetermined time is reached and according to the comparison with the local database. In some examples, the data indicative of the road furniture item or the road object is deleted based on a confidence level in the local database.

A first input is received from a plurality of sensors. A first state including a first location based on the first input is determined. The first state is associated with a first probability. A second input is received from the plurality of sensors. A second state including a second location is determined based on the second input associated with a second probability. It is determined that the second state corresponds to an actual state based on a transition model and the second probability. The transition model associates the first state with the second state and indicates a likelihood of a transition from the first state to the second state. A rule to change a state of at least one network connected device is triggered based on the second state.

The invention provides an intelligent connected vehicle in-the-loop simulation and test and verification system and method. Simulation of the intelligent trolley operation scene is performed mainly byIPG CarMaker, CarSIM and other tools. The system is composed of the functions of Simulink data simulation calculation, transmission of the simulation scene parameters to the intelligent trolley for simulation of the real scene, intelligent trolley image acquisition and display and test analysis. The intelligent trolley side is mainly responsible for environmental perception and control algorithmverification of the intelligent connected vehicle and is composed of a trolley and a control module, a driving module, a communication module and a sensor module to act as the carrier of loading the test algorithm software and the sensor and the communication module required to be tested. According to the system, the cost and the dangerousness of the intelligent connected vehicle test can be reduced, onsite verification of the intelligent vehicle system can be performed in the real site, the research work of modeling, simulation and control and other aspects for vehicle-road coordination and other application in different simulation traffic scenes and thus a lot of data support can be provided for the research of the intelligent connected vehicle.

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.

A vehicle parking locator system and method are provided. The system includes a database storing data pertaining to the vehicle parking locations including available parking locations, and a communication link for communicating with vehicles and other sources. The communication link receives parking location information including information pertaining to availability of parking locations and further provides vehicles with parking location information to assist in locating a parking location. The system further includes a processor for processing the stored data in the database and providing parking location information to vehicles.

The invention discloses a network connected vehicle accurate accident handling method based on block chain. The implementation process of the method comprises: 1, firstly, through a block chain technology, connecting all participated joints which are associated with accident handling, based on a P2P consensus network, establishing an alliance chain, putting life cycle of accident handling in the block chain to record; through an intelligent terminal on a vehicle accident site, acquiring on-site data and uploading, the participated joints which are associated with accident handling completing accident handling. Compared with the prior art, the network connected vehicle accurate accident handling method based on block chain effectively solves a mutual trust problem of involve parties throughan unified and decentralized method, improves accident responsibility confirmation accuracy rate and handling speed, and provides an accident retroactive function, improves transparency of accident handling process, shortens accident handling time, and saves vehicle accident handling cost.

A method and apparatus provide security for a network-connected vehicle (or other networked environment) in which a predefined set of permitted operations relating to protected resources can be initiated remotely from elsewhere in the network, while security is maintained for the protected resources (for example, an engine performance optimisation control unit or air conditioning control unit within a vehicle) by preventing remote initiation of any other operations on a data processing unit which is connected to the protected resources. One of a pair of gateway components runs on each of two data processing units within the vehicle (or other environment), the first processing unit being connected to the vehicle's device control units and the second processing unit being connected to the external network. The gateway components control the types of communications which can be passed from the network-connected side to the first processing unit such that only permitted operations can be requested and no unauthorised operations can be initiated remotely.

The invention discloses an urban connected vehicle sharing system and method and relates to the technical field of block chains, smart contracts and cloud computing. A connected vehicle cloud platformgathers a large quantity of computing resources and keeps real-time contact with shared vehicles, and management of vehicle assets is realized; an vehicle lease interconnects with the connected vehicle cloud platform and the shared vehicles and sponsors the shared vehicles to use the smart contracts; sharing of the connected vehicles relates to an vehicle maintenance shop business system, an accident liability confirmation system, an insurance claim settlement system and a financial payment system; an infrastructure of the block chain is established, the P2P consensus network has management nodes, endorsement nodes and account keeping nodes, and execution of the smart contracts and generation of new blocks of the block chain are realized through collaboration; execution of the smart contracts combines with a vehicle-mounted intelligent sensing device to complete automatic unlocking, locking and other operations of vehicles. The completeness and tamper-resistant property of vehicle sharing operation are guaranteed, the responsibility of each party for use of the shared vehicles is cleared, and the trust cost and the operation cost of vehicle sharing are reduced.

The invention relates to a vehicle locus prediction and MEC application migration method based on extreme learning, and belongs to the wireless communication network field; the method comprises the following steps: S1, using a MEC application to gather, store and process positioning information of a networked vehicle, and building a vehicle local driving locus database; S2, using a local MEC server as the center to reconstruct a vehicle local driving locus, combining an edge network to gather data and dates of adjacent MEC servers, and forming a sample set; S3, using an ELM prediction algorithm to predict a vehicle mobile direction, determining a network vehicle to access the MEC server, and migrating an internet of vehicles application into the server. The method can be applied to pre-migration of the internet of vehicles application deployed based on MEC servers under a mobile edge network scene.

The invention discloses a network-connected vehicle positioning method based on a 3D laser radar and V2X. The method comprises the following steps of using a laser radar installed on a network-connected vehicle to scan an environment around a network-connected vehicle so as to obtain radar data; preprocessing the radar data, acquiring preprocessed laser point cloud data, converting the point clouddata to a network-connected vehicle coordinate system, and then, according to the density change characteristic of a radar point in the point cloud data, using a raster map to carry out point cloud segmentation so as to realize the separation of a pavement and barriers; carrying out the clustering of the barriers, acquiring a radar point set corresponding to each barrier, and then obtaining the contour of the barrier, then carrying out linear fitting to obtain the shape of the barrier, and combining the size of the barrier to realize barrier identification; and finally, realizing the exchangeof barrier information among other network-connected vehicles through a V2X module. In the invention, a problem that an existing vehicle positioning method has low accuracy and poor reliability is solved, and simultaneously problems that a requirement to the speed of a mobile communication network is high and cost is high are alleviated.

Self-driving and autonomous vehicles are very popular these days for scientific, technological, social, and economical reasons. In one aspect of this technology, path prediction and target classifications are main pillars and enablers for safety and mobility applications. Accurate Estimation of the lane assignment of the remote vehicle with respect to the host vehicle lane results in the accurate threat assessment. V2X and C-V2X are emerging technology for safety applications, and they cover relatively long range. Long range means more room for error in path prediction / target classification. Therefore, here, we offer an efficient path prediction and target classification algorithm to enable these technologies performing safety and mobility applications. The method fuses target vehicles data and host vehicle data in an efficient algorithm to perform this task. Other variations are also presented here.

The technology disclosed relates to testing of connected vehicle systems. The connections involved are sometimes referred to as Car-2-Car (C2C), Vehicle-to-Vehicle (V2V), Car-2-Infrastructure (C2I), or Vehicle-to-Infrastructure (V2I). More generically, the connections are referred to as C2X and V2X. The technology disclosed provides an over the wire simulation of signals that a system will receive in operation, which allows testing of algorithms, breadboards, prototypes and complete systems. The system simulates the position of multiple on board units as the move with the vehicles that carry them. It attenuates signals between the OBUs and can attenuate signals among the OBUs and other test components, including roadside units and synthetic OBUs. The simulation is can be practiced as a method, a device, or computer readable medium that causes a device to practice the method or that, when combined with appropriate hardware, produces the device.

Improved pseudonym certificate management is provided for connected vehicle authentication and other applications. Temporary revocation of a certificate is enabled. With respect to Security Credential Management Systems (SCMS), linkage authorities can be eliminated without compromising the system security. Other embodiments are also provided.

Methods and systems for alerting a vehicle driver and / or a passenger via wireless communications. One or more conditions with respect to a vehicle are monitored. A change in the condition can be detected and a signal automatically and wirelessly transmitted to a computing device, wherein the signal is indicative of the change in condition(s). The driver and / or the passenger can he then alerted to the change in condition(s) in response to transmitting the signal to the computing device (e.g., a tablet computing device, smartphone, smartwatch, other wearable device, in-vehicle system, etc.) associated with the driver and / or the vehicle passenger.

The invention discloses a charging pile system. The charging pile system comprises at least one charging pile; each charging pile is connected with a group of charging gun connectors; each charging gun connector corresponds to one charging parking place; each charging branch circuit is connected with a power control unit; each charging pile is correspondingly provided with a charging pile controller; each power control unit is connected with the corresponding charging gun connector; the system further comprises an APP client and a cloud service platform; the cloud service platform is used for being communicated with the charging piles and the APP client; the charging pile system is characterized in that each charging pile controller is used for pushing charging remaining time for charging a connected vehicle and a utilization condition of the corresponding charging parking place to the APP client of a cell phone, and a user selects the most suitable charging parking place or appointing the charging parking place according the information. By adopting the process, the charging parking place is reasonably selected and the utilization efficiency of the charging parking place is improved.

The invention relates to a vehicle state prediction method of Internet of vehicles. The method comprises the following steps: 1), obtaining vehicle environment information of a target vehicle and information of traffic lights in front of the target vehicle; 2), according to the vehicle environment information and historical state information of the target vehicle, predicting vehicle behavior of the target vehicle; and 3), according to the vehicle environment information, the information of the traffic lights in front of the target vehicle and the vehicle behavior obtained through prediction, through combination with the historical state information of the target vehicle, predicting the state of the vehicle. Compared to the prior art, the method provided by the invention has the following advantages: the vehicle behavior of the vehicle is predicted based on the vehicle environment information and the historical state of the vehicle, then the future state of the vehicle is predicted through the vehicle behavior, the prediction based on the vehicle behavior is more accurate, and the method is good in expandability, is simple and highly-efficient and is suitable for large-scale network conditions.

A connected vehicle train-vehicle collision detection system comprises a roadside unit (RSU) located at a railroad grade crossing near a roadway lane for avoiding TRAIN crashes with Onboard Unit (OBU)-equipped vehicles by issuing advance warnings for a potential vehicle-train crash. The roadside unit (RSU) is configured to act as a proxy Onboard Unit (OBU) for a non-OBU-equipped TRAIN and transmit a train location to a first Onboard Unit (OBU)-equipped vehicle having an Onboard Unit (OBU). The Onboard Unit (OBU) of the first OBU-equipped vehicle is configured to calculate a train-vehicle crash based on the train location of the TRAIN relative to the railroad grade crossing and a vehicle location of the first OBU-equipped vehicle relative to the railroad grade crossing.

The invention discloses an intelligent connected vehicle communication network architecture based on a vehicle-mounted base station. The network architecture comprises a sensing layer, a network layer, a cloud computing layer and an application layer, wherein the sensing layer is used for realizing data sensing, and the network layer is used for implementing network access and network transmissionand control; the cloud computing layer is used for supporting information services; and the application layer is used for implementing applications with various needs. According to the scheme of theinvention, the problem that an intelligent connected vehicle in an existing network architecture cannot implement mass data transmission, dynamic high-precision 3D map downloading and real-time videoreturn, cannot provide high-speed network access for passengers and the like can be overcome, the safe driving of the vehicle itself can be ensured, and the advantages of providing high-speed networkaccess for the passengers and assisting other wireless communications can also be achieved; the problem of large delay caused by relying solely on cloud computing in an existing communication networkarchitecture can be overcome; and the scheme of the invention can advantageously facilitate the development of an intelligent connected vehicle technology and the implementation of fully unmanned driving in the future.

Cryptographic authentication is described to improve security in connected vehicle systems and other applications. Identity Based Cryptography and threshold cryptography are among techniques used in some embodiments.

A method and apparatus provide security for a network-connected vehicle (or other networked environment) in which a predefined set of permitted operations relating to protected resources can be initiated remotely from elsewhere in the network, while security is maintained for the protected resources (for example, an engine performance optimisation control unit or air conditioning control unit within a vehicle) by preventing remote initiation of any other operations on a data processing unit which is connected to the protected resources. One of a pair of gateway components runs on each of two data processing units within the vehicle (or other environment), the first processing unit being connected to the vehicle's device control units and the second processing unit being connected to the external network. The gateway components control the types of communications which can be passed from the network-connected side to the first processing unit such that only permitted operations can be requested and no unauthorised operations can be initiated remotely.

The invention proposes a synergic optimization method for a speed of an intelligent connected vehicle at an intersection without a signal lamp. The synergic optimization method comprises the steps ofselecting each first vehicle, which is not subjected to synergic optimization, in all paths having conflict points with other paths in an intersection range from a start moment of a current synergic optimization period, solving a mixed integer linear planning problem according to respective position and initial speed information, and obtaining an expected passing speed of each vehicle and a relative passing sequence among vehicles; and planning the acceleration process of each selected vehicle, and ensuring that the vehicle on a turn drives to the intersection again after the vehicle on a previous turn leaves the intersection. In each turn of optimization, a sub-set is dynamically extracted as an optimization object by the method, the vehicle relatively far away from the intersection is indirectly deleted, and the efficiency loss is prevented. By the method, it can be ensured that the scale of problem solving is limited to the number of controlled lanes, so that the calculation capability and the communication frequency requirement of a server are reduced, and the method is applicable to an intersection scene in and out of which the vehicle dynamically drives.

The invention discloses an automotive remote control system based on M2M (Machine-to-Machine), comprising the following steps of: transmitting a control instruction to a vehicle gateway by a control terminal through a mobile communication network; retransmitting the control instruction to a vehicle network element by the vehicle gateway through a wireless communication mode; and carrying out corresponding operation by the vehicle network element based on the control instruction. The invention also discloses the vehicle gateway, the vehicle network element and an automotive remote control system based on the M2M. In the invention, the control terminal is connected with the vehicle gateway by adopting a mobile network, the vehicle gateway is connected with the vehicle network element by the wireless communication mode, and the control terminal can control the connected vehicle network element by the vehicle gateway. Compared with the scheme that the control terminal is directly connected with the vehicle network element, the invention reduces remote control cost; and the vehicle gateway is connected with the vehicle network element by a wireless mode, avoids additional increase of circuit connection in an automobile, reduces realization difficulty and is more beneficial to maintenance.

The invention claims an HMM-based V2X internet-of-vehicles vehicle anti-collision early warning system. The system integrates a V2X communication technology, a high-precision positioning technology and an inertial navigation technology. A V2X communication module is mainly responsible for data communication, including broadcast transmission of the vehicle data, detection of surrounding vehicle data and receiving of road-side road traffic information; an inertial navigation module includes a GPS module, an accelerometer and a gyroscope and is mainly responsible for acquiring of the position data and attitude data of vehicles and adopts an inertial navigation algorithm to decrease data cycles and improve accuracy; a high-precision positioning solution module is mainly responsible for high-precision solution of vehicle positions based on the vehicle position and attitude data provided by the GPS module, the accelerometer, and the gyroscope and improves the positioning accuracy of the prior art; a hidden Markov model and a K-means clustering model are responsible for classification of vehicle state data and predicting the early warning situations of vehicle driving states at the current time.

A method for producing linkage values to be contained within pseudonym digital certificates of a security credential management system for connected vehicles, including the following steps: providing a linkage value function that expresses linkage values as a function of a number of input parameters that include a linkage seed input from a pseudonym certificate authority processor entity and a plurality of inputs from a registration authority processor entity including a vehicle identifier and at least one index relating to a time period for the linkage value; producing a Boolean circuit representative of the function for a particular combination of the number of input parameters; and executing a garbled circuit protocol on the Boolean circuit between the registration authority processor entity and the pseudonym certificate authority processor entity, whereby the pseudonym certificate authority processor entity privately derives a linkage value for the particular combination of the number of input parameters.

A method for providing audio prompts via a service-providing remote center includes receiving a list of requested data from an on-board navigation system of a vehicle, and, for each item in the list of requested data, determining whether an audio prompt is available and delivering an associated audio prompt from the service-providing remote center over a data channel. Also provided is a method for obtaining audio prompts using a minimal amount of text-to-speech ports including determining a plurality of known data items, generating audio prompts for the plurality of known data items with a single text-to-speech engine using batch mode processing, obtaining an associated audio prompt for each of the known data items, and storing each associated audio prompt in a recording database.