205 results about "Virtual vehicle" patented technology

The invention belongs to the field of digital twinning simulation, and relates to a digital twinning method and system for a cross-country test field, and the method comprises the steps: collecting multi-source heterogeneous point cloud data and image data of the cross-country test field, and generating a three-dimensional grid model according to the collected data; extracting a ground point set of the multi-source heterogeneous point cloud data by using a ground point iterative segmentation method based on dynamic threshold adjustment; generating a road center line and a geometric parameter evaluation result thereof according to the extracted ground point set; modeling the road center line according to the geometric parameter evaluation result by using an elevation modeling method based on multi-scale interpolation and error compensation to obtain a road surface elevation model; based on the three-dimensional grid model and the road surface elevation model, realizing synchronization of the virtual vehicle and the real vehicle; according to the method, the candidate ground points are extracted through the dynamic threshold value, the number of iterations and the sampling strategy are adjusted according to the candidate ground points, the accuracy and processing efficiency of surface point extraction are improved, and therefore the accuracy and efficiency of road surface elevation model modeling are improved.

The invention discloses a vehicle-road cooperation virtual-real fusion simulation test method, device, equipment and medium, and the method comprises the steps: setting a test event in a virtual simulation environment, generating virtual sensor detection data, sending the data to a cloud control platform, carrying out the fusion processing, generating a standard vehicle-road cooperation message, and issuing the message to a real road side unit, and the real road side unit forwards the message to the real vehicle-mounted unit, the real vehicle-mounted unit analyzes the message, generates a vehicle control instruction and returns the vehicle control instruction to the virtual simulation environment, and the state of the virtual vehicle model is updated according to the vehicle control instruction in the virtual simulation environment and response verification is completed. According to the method, a virtual-real combined vehicle-road cooperation test link is constructed under a unified framework, and a complete closed loop from virtual sensor sensing, cloud fusion processing, roadside forwarding, vehicle-mounted analysis to virtual vehicle response is realized, so that the test coverage rate and controllability of a vehicle-road cooperation function in a complex traffic scene are effectively improved; and the test efficiency and the verification precision are improved.

The invention discloses a low-altitude logistics vehicle-aircraft cooperative configuration and cross-region carrying matching method and system, and belongs to the technical field of low-altitude logistics. According to the method, single-region optimization-gt is adopted; multi-zone vehicle coordination-gt; and a three-level optimization process of cross-region carrying matching of the vehicle-mounted infotainment Single-area parallel optimization ensures local optimization and calculation efficiency, an optimization algorithm is adopted to solve an optimal vehicle and unmanned aerial vehicle number combination for each logistics area, a concept of virtual vehicles is innovatively proposed, and cross-area flexible sharing and optimization of vehicle resources are realized; multi-area vehicles coordinate to integrate resources at a higher level, virtual vehicle demands of a plurality of to-be-optimized areas are combined by using a clustering algorithm, and one actual vehicle meets and pursues global optimal deployment of vehicle resources through cross-area circulation; and finally, processing a refined cooperation problem through vehicle-aircraft carrying matching, dynamically evaluating the cost of the two schemes of unmanned aerial vehicle flying-away carrying and vehicle taking-back carrying for each overload area, and selecting the optimal scheme of unmanned aerial vehicle flying-away carrying and vehicle taking-back carrying.

This vehicle includes a lane keeping assistance system and a control device which controls steering of the vehicle, wherein the control device divides a width of a lane in which the vehicle travels into a plurality of virtual lanes and controls the vehicle so that the vehicle travels in one virtual lane among the plurality of virtual lanes. The control device controls the vehicle so that a traveling position of the vehicle is returned to an inside of the one virtual lane when the vehicle traveling in the one virtual lane is about to deviate from the inside of the one virtual lane.

The invention provides a two-dimensional formation composite sliding mode control method under an explicit convergence time limit, and relates to the technical field of automatic driving cooperative control. The method comprises the following steps: firstly, acquiring real-time motion state information of a pilot vehicle and N following vehicles, and establishing a third-order nonlinear dynamic model of each following vehicle; calculating a tracking error of the following vehicle based on the virtual vehicle strategy; dynamically processing the predetermined performance constraints; constructing a composite finite time sliding mode surface of a layered structure, and determining a total execution time limit required by convergence of all monitoring signals in the two-dimensional vehicle formation control system from an initial deviation state to a predefined steady state region; and finally, on the basis of the composite finite time sliding mode surface, an external disturbance boundary is estimated online in combination with an adaptive control algorithm, a control instruction is generated, and a monitoring signal is forced to reach a steady state in an explicit time upper boundary. The method provides a visual performance estimation means for practical engineering application, and improves the stability, rapidity and accuracy of two-dimensional formation control.

A vehicle processing method and apparatus in a virtual scene, an electronic device, a computer readable storage medium, and a computer program product. The method comprises: displaying in a virtual scene a virtual vehicle carrying a first virtual object; and in response to the first virtual object being located in a first area of the virtual scene, controlling the virtual vehicle to move in a first movement mode adapted to the first area, wherein the type of the first area is any one of the following: an air area, a ground area, and a water surface area.

This invention discloses a car logo system, a car, and a car logo control method. The car logo system includes a physical car logo device and a virtual car logo device. The physical car logo device includes a physical car logo and a first driving component. The first driving component drives the physical car logo to move relative to the front of the car body along a first direction and a second direction, enabling the physical car logo device to switch between a display state and a retracted state. The virtual car logo device includes a virtual car logo component and a second driving component. The second driving component drives the virtual car logo component to move relative to the front of the car body along the first direction, enabling the virtual car logo device to switch between a display state and a retracted state. Embodiments of this invention provide cars with both physical and virtual car logo display modes, offering more functionality and allowing users to switch between their preferred display modes. Therefore, this car logo system provides users with a better user experience.

The invention relates to a plate processing dynamic scheduling method based on digital twinning and real-time optimization, and belongs to the technical field of intelligent manufacturing and production scheduling. The problems that energy waste and production cost increase are possibly caused when disturbance rescheduling is dealt with because production energy consumption is ignored in existing plate processing dynamic scheduling are solved. A digital twin workshop model comprising a physical workshop layer, a virtual workshop layer and a workshop service system layer is constructed, a real-time energy consumption prediction sub-model is integrated for processing equipment in the virtual workshop layer, equipment operation state data are collected and synchronized in real time, the energy consumption prediction sub-model is used for calculating instantaneous estimated power and workshop real-time total power, and the real-time total power of the workshop is calculated. And a dynamic scheduling trigger condition is determined based on the equipment alarm, the newly added task instruction and the real-time total power information. The method is mainly used for achieving dynamic optimization scheduling considering production efficiency and energy consumption when disturbance occurs in the plate machining process.

The application relates to a motion planning method and device, a robot, a readable storage medium and a program product. A chassis corresponding kinematic model is generated based on chassis state information and each virtual wheel information corresponding to each wheel group, and the speed and angle of each virtual wheel are not related; motion constraint information of the chassis is obtained, and the chassis is subjected to motion planning according to the kinematic model and the motion constraint information. Compared with the traditional motion planning in the switching mode of double Ackerman steering mode and skew mode, the scheme removes the restriction that each wheel in the chassis must rotate at the same angle size and in the opposite direction, constructs multiple virtual wheel information, generates a kinematic model in combination with the chassis state information and the virtual wheel information, and subjects the chassis to motion planning in combination with the kinematic model and the motion constraint information of the chassis, thereby improving the operation efficiency of the chassis.

The present application relates to the technical field of vehicle pseudonym replacement, and particularly relates to a vehicle pseudonym replacement method based on artificial intelligence, which comprises the following steps: determining whether pseudonym replacement is needed according to a replacement time interval value or performing secondary determination based on a quantity ratio reference value and a communication characteristic value; determining a target area type according to a to-be-replaced vehicle distribution reference value and a replacement allowance, and determining whether to directly perform pseudonym replacement or perform combined analysis according to the target area type; in the combined analysis, determining a related vehicle combination based on a position synchronization degree or an interaction reference value according to a vehicle analysis coefficient, determining whether to perform sequential setting of a virtual vehicle based on a quantity difference value or setting a virtual vehicle based on a historical attack frequency of a sub-area, and performing pseudonym replacement on to-be-replaced vehicles and virtual vehicles in the related vehicle combination. The present application can reduce the risk of vehicle location privacy leakage.

This application discloses a vehicle control method, device, equipment, and medium, relating to the field of autonomous driving technology. The method includes: determining whether a vehicle needs to turn based on target information; if a turn is needed, detecting whether there is a corresponding waiting-turn lane line in the current lane where the vehicle is located; if not, generating a virtual waiting-turn lane line for the current lane based on a preset strategy, and controlling the vehicle to turn based on the virtual waiting-turn lane line; if a turn is needed, controlling the vehicle to turn based on the waiting-turn lane line. This application can generate a virtual waiting-turn lane line according to a preset strategy when the vehicle needs to turn and there is no corresponding waiting-turn lane line in the current lane, allowing the vehicle to perform turning control, thereby improving the comfort of intelligent driving and enhancing the driver's experience.

This invention relates to a virtual inspection and process simulation method and system for rare earth production processes, belonging to the field of digital twin technology. A virtual workshop is established based on the geometric model of the production site, control scripts, and real-time data, simulating the entire process. By establishing the virtual rare earth workshop and creating a data connection between the actual workshop and the virtual factory, data visualization demonstrations of various production processes can be achieved, along with rapid inspection of production equipment. Furthermore, based on the extraction mechanism and historical data, component content is predicted, and automatic early warnings are issued, enabling real-time and accurate prediction of process indicators. Simultaneously, the system can quickly respond to changes in production conditions, providing system early warnings and optimization data, which helps reduce the burden on operators, optimize production process control, improve production management efficiency, and achieve effective utilization of on-site process data.

A vehicle is provided. A vehicle includes an electric motor, a pseudo clutch operating device, a shift operating device, and one or more processors. The electric motor is a drive source for a vehicle. The shift operating device is configured to be operated for selecting a gear. The single or more processors are configured to simulate a drive characteristic of the virtual vehicle by changing a motor torque of the electric motor in response to at least operation of the pseudo clutch operating device and operation of the shift operating device. The single or more processors are configured to allow the gear to be changed to a prescribed gear, which depends on a motor speed of the electric motor, regardless of whether the dummy clutch operating device is operated.

This invention relates to a control system for controlling a vehicle equipped with an electric motor as a drive source. The system includes a vehicle model, a storage device, and one or more processing circuits. The vehicle model reproduces the vehicle characteristics of a virtual vehicle within the vehicle. The storage device stores a gearbox line mapping of an automatic transmission engine vehicle, which is the virtual vehicle. The one or more processing circuits perform driving control simulating the driving of the virtual vehicle based on the vehicle model. The vehicle model includes a transmission model, which reproduces the transmission characteristics of the automatic transmission engine vehicle within the vehicle and is constructed based on the gearbox line mapping. Upon receiving personalized settings for the transmission characteristics from a user interface, the one or more processing circuits perform personalized processing of the transmission characteristics according to the personalized settings.

The purpose of the present disclosure is to provide an electric vehicle that enables a driver to experience the operation of an MT vehicle and, at the same time, can maintain easiness at the time of starting. The electric vehicle is provided with an MT mode for controlling an electric motor so as to simulate the operation of a virtual vehicle provided with a virtual engine and a virtual clutch. The electric vehicle includes a pseudo clutch operation device and a control device communicably connected to the pseudo clutch operation device. In the MT mode, the control device reflects an instruction from the pseudo clutch operation device on the control of the electric motor. When the start condition of the electric vehicle is established, the control device starts the electric vehicle even when there is no instruction from the pseudo clutch operation device.

This paper presents a system (103) and a method (500) for estimating the ego lane of a vehicle (102). The method (500) comprises receiving a plurality of road signatures of the vehicle (102) at each timestamp of a plurality of timestamps. Furthermore, the method comprises applying an encoding technique to the plurality of road signatures to generate a plurality of coded road signatures corresponding to the current timestamp of the plurality of timestamps and one or more previous timestamps. In addition, the method comprises grouping a plurality of coded road signatures and adding one or more dummy lane encoding data to generate context-aware sequence data. Finally, the method comprises performing the aforementioned steps for the remaining timestamps of the plurality of timestamps to generate the remaining context-aware sequence data.Finally, the procedure includes estimating a vehicle's ego lane based on contextual sequence data and remaining contextual sequence data.

The application discloses a low-altitude logistics vehicle and machine cooperative configuration and cross-region carrying matching method and system, and belongs to the technical field of low-altitude logistics. The application adopts a three-level optimization process of single-region optimization-> multi-region vehicle coordination-> vehicle and machine cross-region carrying matching. The single-region parallel optimization guarantees local optimization and calculation efficiency, an optimization algorithm is adopted to solve the optimal vehicle and unmanned aerial vehicle quantity combination for each logistics region, the concept of virtual vehicle is innovatively proposed, and cross-region flexible sharing and optimization of vehicle resources are realized; the multi-region vehicle coordination integrates resources at a higher level, the virtual vehicle demands of multiple regions to be optimized are combined by using a clustering algorithm, one actual vehicle is used to meet the demands through cross-region circulation, and global optimal deployment of vehicle resources is pursued; and finally, the vehicle and machine carrying matching processes fine cooperative problems, dynamically evaluates the cost of two schemes of unmanned aerial vehicle flying and carrying and vehicle returning and carrying for each overload region, and selects the optimal scheme.

The present disclosure provides a system (106) and a method (300) for generating virtual lanes. The system (106) determines a total number of virtual lanes based on a current frame and a predetermined number of previous frames, each virtual lane being identified using a corresponding lane index. A lane index is assigned to one or more vehicles (108) in the current frame, and an anchor vehicle is identified for each lane index. The system (106) determines a clothoid curve for each pair of vehicles (108) in each lane index using a Kalman filter, wherein the Kalman filter determines a process noise, a measurement noise, and a Kalman gain value using a corresponding neural network. The system (106) combines the clothoid curves to obtain a corresponding unified clothoid curve for each lane index.

The invention relates to the technical field of vehicle pseudonym replacement, in particular to a vehicle pseudonym replacement method based on artificial intelligence, and the method comprises the steps: determining that pseudonym replacement does not need to be carried out or carrying out secondary judgment based on a number comparison reference value and a communication characterization value according to a replacement time interval value; determining a target area type according to the to-be-replaced vehicle distribution reference value and the replacement allowance, and determining direct pseudonym replacement or combinatorial analysis according to the target area type; in combination analysis, according to a vehicle analysis coefficient, an associated vehicle combination is determined based on a position synchronization degree or an interaction reference value, and based on a number difference value, virtual vehicles are sequentially set or virtual vehicles are set based on a historical attack frequency of a sub-region. And carrying out pseudonym replacement on the to-be-replaced vehicle and the virtual vehicle in the associated vehicle combination. According to the invention, the risk of vehicle position privacy leakage can be reduced.

To provide an electric vehicle that allows drivers to experience operating a manual transmission vehicle while simultaneously maintaining ease of starting. [Solution] This disclosure relates to an electric vehicle having a manual mode for controlling an electric motor to simulate the operation of a virtual vehicle equipped with a virtual engine. The electric vehicle includes a transmission that changes the gear ratio between the electric motor and the drive wheels, a clutch provided between the electric motor and the transmission, a clutch operating device, and a control device that is communicatively connected to the clutch and the clutch operating device. In manual mode, the control device controls the clutch in response to instructions from the clutch operating device. The control device also controls the clutch independently of instructions from the clutch operating device to start the electric vehicle.

A control system for a vehicle (100) that controls a vehicle (100) including an electric motor (4F, 4R) as a drive source. The system includes a vehicle model, a storage device (103), and a processing circuit. The vehicle model reproduces, in the vehicle (100), a vehicle characteristic of a virtual vehicle. The storage device stores a gear-shifting line map for a stepped transmission in an automatic gear-shifting engine vehicle as the virtual vehicle. The processing circuit executes a traveling control to imitate traveling of the virtual vehicle, based on the vehicle model. The vehicle model is a transmission model for reproducing a gear-shifting characteristic of an automatic gear-shifting engine vehicle, and includes a transmission model that is constructed based on the gear-shifting line map. The processing circuit executes a customization process of the gear-shifting characteristic according to a customized setting for the gear-shifting characteristic, when the customized setting is received from a user interface.

The present invention relates to a vehicle user profile adaptation arrangement (100) for adapting a vehicle user profile, comprising: a digital key (110) configured to store vehicle data and vehicle user profiles, smart glasses (120) configured to receive the vehicle data and vehicle user profiles from the digital key (110) and to display a virtual vehicle environment (130) according to the received vehicle data and vehicle user profiles, a control unit (140) coupled to the smart glasses (120) and configured to enable a user (150) to make various vehicle settings to adapt a vehicle user profile and to transmit the adapted vehicle user profile to the digital key (110), wherein the digital key (110) is configuredto store the adapted vehicle user profile and transmit it to a vehicle (160) for adaptation of the vehicle according to the adapted vehicle user profile. Furthermore, the present invention relates to a vehicle user profile adaptation method.

The application discloses a control method and device of a vehicle, electronic equipment and a storage medium, and relates to the technical field of automatic driving. The method comprises the following steps: displaying a virtual scene corresponding to the vehicle on a display interface; if the virtual scene comprises at least one candidate virtual vehicle corresponding to a candidate following vehicle, in response to a following selection operation on a target virtual vehicle in the at least one candidate virtual vehicle, entering a following driving mode and taking a target vehicle corresponding to the target virtual vehicle as a following target; and if it is detected that the following target has a lane changing intention, controlling the vehicle to follow the lane changing of the following target. The technical scheme provided by the application can meet the requirement of a user for specifying a following target and following the lane changing of the following target.

The application discloses a brake force distribution debugging method and system based on virtual software, and comprises the following steps: establishing a virtual vehicle dynamics model; distributing different proportions of motor deceleration brake force and mechanical brake force according to different conditions; testing the vehicle braking effect when different brake force distribution proportions are adopted based on the established virtual vehicle dynamics model, and obtaining the optimal brake force distribution proportion. The method can realize reasonable and safe brake force distribution, ensure that the automobile can recover and utilize more energy under the premise of safety and reliability, fully exert the vehicle capacity recovery function, and effectively reduce energy consumption.

The invention discloses a special scene-oriented data generation and stereo matching method, which belongs to the field of computer vision and automatic driving, and specifically comprises the following steps: firstly, constructing a special special environment map in a Stereo Carla framework, configuring a baseline distance of a binocular camera system on a virtual vehicle, and carrying out parameter optimization; then, simulation is carried out after environment parameters in the special environment are changed, binocular RGB images are synchronously collected for rendering, and multi-mode stereoscopic vision synthetic data are obtained; further constructing hierarchical mixed training data in combination with public data, inputting the hierarchical mixed training data into a stereo matching network, and performing forward propagation to calculate and predict a disparity map; and updating the total loss function, updating parameters of the stereo matching network through back propagation, and optimizing the performance of the stereo matching network model. And finally, optimizing and deploying the trained stereo matching network model in a special scene. According to the method, the three-dimensional perception precision and robustness of the stereo matching model in an unknown special environment are remarkably improved.

A method and system for generating virtual pedestrian-vehicle interaction data includes generating a virtual reality environment in virtual reality device, generating a scenario in the virtual reality environment, the scenario comprising virtual vehicle movements, displaying the scenario in a virtual reality device, storing virtual reality movements relative to the scenario, the virtual reality movements comprising at least a yaw movement, communicating the virtual vehicle movements to a simulator controller, communicating the virtual vehicle movements to the simulator controller, associating the virtual reality movements, the virtual vehicle movements and the scenario to form pedestrian-vehicle data, and training an autonomous vehicle system using the pedestrian-vehicle data.

The invention relates to a simulation method and simulation platform based on a vehicle model, real-time data and big data processing. The method comprises the steps that a Spark calculation engine generates different simulation scenes, a simulation test result is calculated, the simulation test scenes are dynamically adjusted, and a vehicle dynamics model or a vehicle automatic driving algorithm is trained and optimized. Realizing subscription and release of a Spark calculation engine, real vehicle road collection data, Carla simulation environment data and an algorithm optimization model through a Kafka data stream; and data communication between the Carla simulation environment and an automatic driving algorithm is realized through the DDS communication middleware, and the virtual vehicle is controlled to operate in the simulation environment. Based on the method, large-scale parallel simulation can be realized, the scene is dynamically adjusted and generated according to the simulation test result, the data-driven closed-loop simulation test is realized, the vehicle dynamics model and the automatic driving algorithm model can be optimized and updated according to the simulation test result, and the simulation and model optimization efficiency is improved.

The invention relates to an unmanned desktop HIL test system and method, electronic equipment and a storage medium. The method comprises the steps that after a JSON configuration file is generated according to a test requirement, a virtual scene, a virtual vehicle and a virtual sensor are generated on a server side of a virtual simulation platform CARLA; the server side of the virtual simulation platform CARLA updates state information and sends the state information to an automatic driving algorithm, the HTTP server side operates the automatic driving algorithm, generates a control instruction through environment perception, planning decision and control execution algorithms and sends the control instruction to the server side of the virtual simulation platform CARLA, and unmanned driving simulation data interaction and closed-loop control are achieved; and unmanned driving simulation data are read and controlled based on the HTTP client, so that unmanned driving testing is realized. According to the invention, the simulation platform can be quickly built only by one PC and one domain controller, the quick deployment of the test environment can be realized, on one hand, the test cost can be reduced, on the other hand, the simulation platform can be carried in a lightweight manner, and the distress that the emergency simulation test cannot be carried out in the field can be solved.

The present disclosure provides a virtual lane line generation method and device, a mobile terminal and a storage medium, and relates to the technical field of high-definition maps. The method comprises the following steps: determining a first endpoint for entering a lane line and a second endpoint for exiting the lane line; generating a first extension line in the direction of the entering lane line with the first endpoint as the starting point; generating a second extension line in the opposite direction of the exiting lane line with the second endpoint as the starting point; determining the traffic mode of a virtual lane corresponding to the entering lane line and the exiting lane line according to the first extension line and the second extension line; and generating the lane line of the virtual lane based on the traffic mode and according to the first endpoint and the second endpoint. The method improves the generation efficiency and quality of the virtual lane line, can adapt to complex intersection scenarios such as multi-branch intersections and high-speed entrances and exits, provides accurate road network information support for intelligent driving vehicles, and enhances the reliability and safety of the intelligent driving system in different scenarios.

Aspects of the present disclosure provide techniques for training a machine-learning model to compress map data for use online by an autonomous vehicle and techniques for compressing map data using the trained machine-learning model. A system includes a computing device configured to deploy a simulation environment initiating an instance of a virtual vehicle, execute iterations of a simulation of the virtual vehicle, wherein each iteration: deploys a set of map data compressed by the machine-learning compression model and causes the virtual vehicle to execute control operations based on the deployed set of map data, evaluate performance of the executed control operations by the virtual vehicle based on the compressed map data for each iteration, and train the machine-learning compression model to compress map data such that the evaluated performance of the executed control operations by the virtual vehicle exceeds a performance threshold.