571 results about "Virtual vehicle" patented technology

The invention belongs to the technical field of multi-target global dynamic production scheduling, and discloses a manufacturing resource dynamic production scheduling data comprehensive processing method, which comprises the following steps: acquiring multi-source heterogeneous data, constructing a field mapping table, constructing an equipment fingerprint database in combination with historical equipment performance data, dynamically adjusting confidence coefficient weight, and further judging an equipment state. Based on an equipment state judgment result, integrating operator report data and multi-source heterogeneous data through a preset rule base trigger event, and generating an abnormal event flow with a context tag; based on the abnormal event type and the equipment state judgment result, a recommendation scheme is constructed through a production scheduling knowledge graph, and a production scheduling instruction set is generated; according to the production scheduling instruction set, generating a local optimization scheme and a global optimization strategy, and forming a final execution scheme; calculating a resource utilization rate and a bottleneck process index through the 3D virtual workshop model, and generating a difference analysis report; according to the method, global resource scheduling and closed-loop iteration are realized, and the production efficiency and the system robustness are improved.

The invention discloses a digital twinning system construction method and system based on flexible job shop scheduling, and relates to the technical field of digital twinning, and the method specifically comprises the steps: constructing a twinning model of a physical workshop according to the production data of the physical workshop; building a workshop scheduling discrete event simulation model based on the twinborn model of the physical workshop; based on an internal and external virtual-real interaction mechanism, virtual-real mapping interaction between the twin model of the physical workshop and the physical workshop and virtual-real mapping interaction between the twin model of the physical workshop and the workshop scheduling discrete event simulation model are realized, and a virtual workshop is generated; data generated in the interaction process is stored in a twin data pool in real time; a workshop service system is constructed based on a three-dimensional visual integration technology, so that a physical workshop and a virtual workshop carry out interactive feedback, and construction of a scheduling digital twin system is completed. According to the method, the self-adaptive capability of the system in the face of complex production tasks is enhanced, and flexible scheduling according to actual conditions is supported.

The invention provides a machine vision-based panoramic look-around auxiliary driving method and system, and the method comprises the steps: employing a plurality of fisheye cameras to obtain a plurality of first images around a special vehicle, obtaining a distortion model of the fisheye cameras, employing a polynomial model correction method to correct the first images through the distortion model to obtain second images, and obtaining the second images; a direct linear transformation algorithm is used to transform the pitch map of the second image to obtain third images, a weighted average algorithm is used to eliminate splicing gaps of all the third images to obtain a panoramic look-around image, a YOLOv5s-based multi-task perception algorithm is used to detect the target of the panoramic look-around image, the target comprises a drivable area segmentation result and a lane line segmentation result, and the target comprises a driving area segmentation result and a lane line segmentation result. And displaying the panoramic look-around image and the target in the panoramic look-around image. The method can completely display the fusion image of the virtual vehicle, the vehicle bottom and the surrounding road surface, intelligently recognizes the road scene information, eliminates the view blind area, and enhances the view of the driver of the special vehicle.

A navigation method includes displaying a navigation interface, the navigation interface being configured for navigating a target vehicle; displaying, in the navigation interface, a navigation map and a virtual vehicle that moves in the navigation map as the target vehicle travels; and displaying, between a moment when the virtual vehicle moves to a target distance from a curve and a moment when the virtual vehicle enters the curve, both the navigation map and a front of vehicle direction of the virtual vehicle deviate a plurality of times in a direction opposite to the curve, deviation degrees of the plurality of deviations gradually increasing in time sequence.

Techniques for dividing a lane into a first virtual lane and a second virtual lane are described. A narrow track vehicle may determine that the narrow track vehicle is traversing a lane that is at least 10 feet wide. The narrow track vehicle may divide the lane into a first virtual lane and a second virtual lane and traverse one of the first virtual lane or the second virtual lane based at least in part on location (e.g., when traversing a highway lane, residential lane, etc.) and / or speed of traffic (e.g., when traffic is traveling at or below a threshold speed). In examples, the narrow track vehicle may traverse the environment in between a first lane and a second lane upon determining that a distance between a first object in the first lane and a second object in the second lane meets a threshold distance.

A method for operating an ego-vehicle includes receiving sensor data of a sensor system of the ego-vehicle, detecting an absence of lane markings based on the sensor data, and transmitting instructions to a human machine interface of the ego-vehicle to prompt a driver of the ego-vehicle to drive to a perceived center line of a lane. The method also includes determining a virtual lane based on the perceived center line to which the driver has driven, and performing a lane keeping assistant function to keep the ego-vehicle on the virtual lane.

The invention belongs to the technical field of virtual automobile exhibition, and particularly relates to a virtual automobile exhibition system based on digital twinning. The system comprises a digital twinning construction module which generates a lightweight model and supports first-person visual angle dynamic updating; the user behavior analysis module is used for mapping data such as a sight track into a weighted directed graph, and predicting vehicle types and configuration requirements by using a multi-head graph attention network; the personalized configuration selection module is used for generating a configuration scheme in combination with digital twinborn parameters; the virtual test driving module is used for providing immersive experience based on the configuration scheme and the scene; and the background data analysis module integrates the data to generate a user portrait so as to optimize the exhibition content. According to the system, dynamic virtual-real mapping, accurate demand prediction and data-driven intelligent exhibition are realized, and the user interaction depth and the car purchase efficiency are improved.

A system comprising one or more computers implements a virtual domain control unit / virtual electronic control unit service configured to deploy vehicle code packages to one or more of a plurality of supported virtual domain control unit / electronic control unit orchestration environments, which include both a local orchestration environment and one or more remote orchestration environments. In such orchestration environments, virtual domain control units and / or virtual electronic control units are implemented that execute code included in the vehicle code packages. In some embodiments, such virtual domain control units or virtual electronic control units allow computing capacity and / or data storage capacity of a vehicle to be augmented via remotely implemented virtual domain control units and / or remotely implemented virtual electronic control units.

The invention relates to a vehicle control method and device, electronic equipment, a vehicle and a storage medium, and the method comprises the steps: obtaining the state information of a steering system and a virtual lane in front of the vehicle in response to the detection of a fault of the steering system of the vehicle; determining a risk value function corresponding to the first area based on the state information and the virtual lane; the first area is a predicted collision avoidance area; determining a target acceleration of the vehicle according to the risk value function and the operation parameters of the vehicle; and controlling the vehicle based on the target acceleration. According to the embodiment, the first area is analyzed by combining the state information of the steering system and the virtual lane in front of the vehicle, the risk value function corresponding to the first area is determined, the target acceleration is dynamically adjusted by introducing the risk value function, the safety redundancy requirements under different working conditions can be met, and the safety of the vehicle is improved. And the flexibility and safety of vehicle control are improved.

The invention provides a racing game implementation method, and relates to the technical field of vehicle-mounted games. According to the method, if it is detected that a target vehicle where the intelligent cockpit system is located enters a preset game mode, an actuator of a steering wheel in a steering system of the target vehicle is controlled to be disconnected with a wheel actuator of the target vehicle, and the steering system is controlled to enter the preset game mode; according to the input steering control signal of the steering wheel, controlling a target virtual vehicle in the preset racing game, and obtaining advancing state information of the target virtual vehicle; simulation is carried out according to the advancing state information, and steering feedback force simulation signals of the steering wheel are generated; and according to the steering feedback force simulation signal, controlling an actuator of a steering wheel in the steering system to generate a simulation hand feeling of the steering wheel. Therefore, a user can safely and effectively perform a car racing game in the car and can feel the real hand feeling of the steering wheel, and the user experience is improved.

The invention provides a test method and system of a vehicle AEB system, and belongs to the technical field of vehicle test. The method comprises the steps of generating a virtual test scene; collecting simulation video data in the virtual test scene; setting the scene recognition precision of the virtual vehicle, and simulating the message information of the virtual vehicle in the virtual test scene; simulation data including the simulation video data and the message information are sent to an AEB system of the tested vehicle, and a control signal, namely the braking deceleration, of the virtual vehicle is output; converting the brake deceleration into a brake pedal signal; inputting the brake pedal signal into a dynamical model of the test vehicle, and outputting motion information of the test vehicle; updating message information of the virtual vehicle in the virtual test scene according to the motion information; and comparing the updated message information with the standard message information in the braking state, and outputting a test result of the AEB system. The AEB system test accuracy is improved, the test period is shortened, and the test cost is reduced.

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 intelligent driving control method, device and equipment and a storage medium, and relates to the technical field of vehicles, and the vehicle intelligent driving control method comprises the steps: determining a current road scene according to a vehicle road image, vehicle positioning information and navigation map information; when the current road scene is a target road combined scene, performing curve fitting according to lane line historical data and lane line sensing data to obtain virtual lane line data; and performing intelligent driving control of the vehicle according to the virtual lane line data. By intelligently recognizing the Y-shaped road merging scene and fitting the continuous and smooth virtual lane line, an accurate path planning basis is provided for an intelligent driving system, the driving risk caused by path planning errors is remarkably reduced, and a stable and reliable local path planning trajectory is provided in the complex Y-shaped road merging scene. The auxiliary intelligent driving system can easily deal with the scene road condition, and the passing rate and the driving experience of intelligent driving are improved.

A navigation method is provided, including: displaying a navigation interface, where the navigation interface is configured for navigating a target vehicle; displaying, on the navigation interface, a navigation map and a virtual vehicle that moves in the navigation map as the target vehicle travels; and displaying, when navigating through the curve in the navigation map, that both the navigation map and a vehicle head direction of the virtual vehicle dynamically deviate according to a curving degree of the curve, where a deviation degree of the dynamic deviation changes along with a change of a curving degree of a moved position of the virtual vehicle in the curve.

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.

A system and method for determining a vehicle and associating the vehicle with a gaming platform comprising a computing device having a camera to capture image data of a vehicle. An optical recognition module and / or a classification module are / is configured to receive the image data of the vehicle, determine a plurality of vehicle specifications, classify the image data and / or the vehicle specifications, and associate the plurality of vehicle specifications with a virtual vehicle on a gaming platform provided by a gaming module. The system and method permit a plurality of users to compete via racing the virtual vehicles.

The invention discloses a pavement flatness measuring method and device, and belongs to the technical field of measurement. The method comprises the following steps: constructing a rigid virtual vehicle model, wherein the rigid virtual vehicle model is provided with a plurality of wheels; acquiring first elevation data of two wheel track bands of a detected lane on the road to be detected; when the rigid virtual vehicle model virtually travels on the wheel track band of the measured lane, multiple pieces of measurement data are acquired; and measuring the pavement flatness according to the plurality of pieces of measurement data. The device comprises a vehicle model construction module, an elevation data acquisition module, a measurement data acquisition module and a flatness measurement module. According to the technical scheme, synchronous monitoring on two sides (two wheel track belts) of elevation changes of the road surface can be achieved, the comprehensiveness and accuracy of flatness measurement are remarkably improved, and the limitation of a traditional single-side wheel track measuring line is broken through.

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.

The invention discloses an intelligent interaction method and system for a vehicle exhibition, electronic equipment and a storage medium, and relates to the technical field of intelligent vehicle exhibitions. The method comprises the following steps: dividing a target vehicle exhibition area into a plurality of independent interaction areas; when an interaction request in a target interaction area triggered by a user exists, a target virtual vehicle is determined based on the interaction request, and each interaction area comprises a plurality of virtual vehicles; collecting an action video of a user in the target interaction area, and determining an action track feature of the user based on the action video; matching the motion track features with a preset motion feature library, identifying an operation intention of the user and generating a corresponding control instruction of the target virtual vehicle; and transmitting the control instruction to a control center of the target interaction area, so that the control center drives the target virtual vehicle to realize independent interaction response. By implementing the technical scheme provided by the invention, the display experience efficiency of the vehicle exhibition can be improved.

A method for training a driver to navigate a path includes displaying a virtual vehicle on one or more display units integrated with a vehicle, the virtual vehicle being displayed as following the vehicle. The method also includes monitoring a location of the vehicle and a speed of the vehicle along the path. The method further includes adjusting one or both of an angle of the virtual vehicle in relation to the vehicle or a distance between the virtual vehicle and the vehicle based on monitoring the location and the speed, such that the driver adjusts one or both of a lateral position of the vehicle on the path or the speed of the vehicle in accordance with one or both of the adjusted angle or the adjusted distance.

The invention relates to a vehicle cruising method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a road surface state type of a road where a vehicle is located currently; under the condition that the cruise function of the vehicle is started, the target vehicle following distance, speed and acceleration of the vehicle are determined according to the road surface state type and the preset vehicle following distance; under the condition that the roadside camera detects that the lane line in front of the vehicle is missing or unclear, receiving a map of a current road sent by the roadside camera; and generating a virtual lane line based on the map, and controlling the vehicle to perform automatic cruise according to the virtual lane line, the target vehicle following distance, the speed and the acceleration. By adopting the method, the safety in the driving process can be improved.

The invention relates to the technical field of linear guide rails, in particular to a wheel axle control method and system, and the method comprises the steps: obtaining a target position of a slave axle; setting a virtual wheel shaft as a main shaft and an actual wheel shaft as an auxiliary shaft; the real-time position of the main shaft and the real-time position of the auxiliary shaft are obtained; based on the real-time position of the main shaft and the real-time position of the slave shaft, calculating the position deviation of the slave shaft and the main shaft; acquiring the walking speed of the slave shaft based on the position deviation and the target position; and controlling the slave shaft to move according to the walking speed until the target position is reached. According to the wheel axle control method, the technical problem that the overall operation of the stacker is interrupted due to the failure of the main shaft in the prior art is solved.

The invention discloses a TBOX offline detection system, and relates to the technical field of offline detection. The feedback states of the five groups of indicator lamps are controlled through an ECU, namely, a light 3 is lightened after binding succeeds, a light 5 is lightened after remote shutdown, a light t1 is lightened after first-stage vehicle locking and 2V is displayed by a universal meter, and a light t1 and a light t2 are lightened after second-stage vehicle locking and 0V is displayed; the 279 ECU simulates a vehicle control unit, virtual vehicle number binding and unbinding are input through the cloud platform, and a relay is controlled to switch a power supply. When a vehicle is searched, the buzzer responds, and the rack integrates all the modules to realize physical connection and operation. The detection includes connection initialization, function detection, fault simulation and data storage, and efficiency and accuracy are improved. According to the invention, the detection efficiency is improved through the fast-plug wire harness and an automatic instruction, and the time consumed by a single machine is shortened to 15 minutes or less; errors are reduced through voltage simulation and acousto-optic feedback, and the fault omission ratio is reduced; the real-time evidence storage of the cloud platform ensures the data traceability, supports multi-dimensional retrieval and report generation, solves the problems of low efficiency, large error and difficult traceability of the traditional scheme, and improves the detection reliability and standardization level.

An arcade game system, comprising a physical see-through game box, an external game control panel, an internal color game display, a hopper for ball dropping coupled with a hopper sensor for detecting said ball dropping, a flat tray, a sweeper, a ball funnel, an internal ball purveyor, a prize pickup bin, a microprocessor, a graphics processing unit (GPU), a memory component, a circuit board, an audio output device, a gameplay, and a prize package. The game control panel further comprises a coin input device operable to accept a coin from a player. The color game display is operable to display a graphical interface of the gameplay in response to a coin input. The microprocessor, GPU, and circuit board, together, provide and control the gameplay, which comprises a graphical interface that in turn comprises a left virtual wheel and a right virtual wheel, a left virtual X sign and a right virtual X sign, a prize drop progress bar, a prize ticket counter, a ball counter, and a coin counter.

The disclosed system for testing of fleet management software generates virtual assets (e.g., simulations of machinery) that are associated with simulated sensor values. For at least one particular asset in the set, the system generates simulated application programming interface (API) messages. For at least one simulated API message in the simulated API message set, the system parses, from the simulated API message, simulated message data that relates to message flow through integration points. The system generates a visualization that includes an indication of system latency for messages flowing through the integration points. The system latency is determined based on the simulated message data.

The invention discloses a vehicle controller testing method and device and an electronic device, and relates to the technical field of automatic driving. The method comprises the steps that first pose information of a vehicle is acquired, and the vehicle is a vehicle running on a real test road; virtual environment information is injected into multiple sensors of the vehicle, fault signals are injected into the multiple sensors at the target moment, the virtual vehicle is used for simulating the driving state of the vehicle in the virtual scene, and the target moment is the moment when the virtual obstacle executes the dangerous behavior; controlling a vehicle controller to generate an execution decision according to the sensing information of the plurality of sensors after the fault signals are injected and the first pose information; it is determined whether the virtual vehicle safely passes the virtual obstacle based on the execution decision to test the vehicle controller. According to the invention, the technical problem that the stability of the vehicle is insufficient when only a single sensor is tested in the prior art is solved.

The invention provides an automobile display method, system and device and a storage medium, and relates to the technical field of virtual display, and the method comprises the steps: responding to a request that a plurality of terminals access a virtual automobile exhibition hall, distributing a corresponding user role for each terminal, and loading a three-dimensional model and initial parameters of an automobile in the virtual automobile exhibition hall; when a parameter adjustment instruction sent by the first terminal is received, adjusting the three-dimensional model and the initial parameters, and generating a target three-dimensional model and target parameters; the target three-dimensional model and the target parameters are sent to second terminals, when agreement requests sent by a first preset number of second terminals are received, the target three-dimensional model and the target parameters are sent to a third terminal, and parameter suggestion information sent by the third terminal is received; and loading the target three-dimensional model, the target parameter and the parameter suggestion information of the vehicle in the virtual vehicle exhibition hall. The method has the technical effects that a plurality of users can participate in the vehicle purchasing process at the same time, collaborative decision making is realized, and the purchasing efficiency is improved.

The invention discloses a virtual carrier control method and device, a storage medium and electronic equipment. The method comprises the steps that a virtual carrier driven by a virtual character and an intelligent control element are displayed, and the intelligent control element is used for assisting in controlling the virtual character to break away from or continue to drive the virtual carrier in a safe state; under the condition that the intelligent control element belongs to the separation control type, assisting to control the virtual role to be separated from the virtual carrier in a safe state through the intelligent control element; and under the condition that the intelligent control element belongs to the driving control type, assisting to control the virtual role to continuously drive the virtual vehicle in a safe state through the intelligent control element. The technical problem of low control accuracy of the virtual carrier is solved.

A vehicle management system is applied to a battery electric vehicle. The battery electric vehicle includes a simulation mode in which a simulation target is simulated. The simulation target includes at least either of a driving sound of a virtual mobile body and driving characteristics of a virtual vehicle. The vehicle management system includes one or more processors. The one or more processors are configured to calculate driving proficiency of a driver that drives the battery electric vehicle in the simulation mode. The one or more processors are configured to change options for the simulation target according to the driving proficiency.

The invention provides an intelligent vehicle motion control method and device based on a physical information neural network, and the method comprises the steps: collecting the control and state data of a virtual vehicle in a simulation environment, and constructing a first data set; collecting control and state data of the intelligent vehicle in a real environment, and constructing a second data set; inputting the first data set into a constructed vehicle motion prediction model for pre-training, and finely adjusting the vehicle motion prediction model by using the second data set to obtain a trained vehicle motion prediction model; wherein the vehicle motion prediction model integrates a deep neural network and a physical information layer and is used for predicting a vehicle state quantity and a vehicle control quantity at a future time point; and integrating the trained vehicle motion prediction model into a motion controller of the intelligent vehicle, and controlling the intelligent vehicle to run by using the motion controller. According to the method, the environmental adaptability is higher, the optimization control result is more accurate, and the tracking precision, the driving stability and the safety of the vehicle are greatly improved.