34 results about "Driving automation" patented technology

The invention provides an optical system, a control method, a vehicle optical signal device, a vehicle lamp and a vehicle, the optical system comprises at least one first light source assembly and a second light source assembly, and light emitted by the first light source assembly passes through an optical assembly and is emitted from a first light emitting area of a light emitting surface of the optical assembly; light emitted by the second light source assembly passes through the optical assembly and is emitted from a second light-emitting area of the light-emitting surface of the optical assembly, and at least partial area overlapping exists between the first light-emitting area and the second light-emitting area; wherein light emitted by the first light emitting area serves as a first light function, light emitted by the second light emitting area serves as a second light function, the first light function serves as a marker lamp of the driving automation system, and the second light function serves as other light functions with colors different from those of the first light function. Therefore, the structure and function multiplexing of the automatic system marker lamp and other signal lamps is realized, the cost of independently designing and manufacturing the automatic system marker lamp is effectively reduced, and the occupied space of the whole vehicle lamp is effectively reduced.

The invention provides an instant messaging driving type automatic service processing method and system based on a large language model and a model context protocol (MCP), and relates to the technical field of computers, and the method comprises the following steps: a user sends a message in a group of an instant messaging platform and makes a group robot to form a Webhook event; the MCP client exposes an HTTP (Hyper Text Transport Protocol) interface to receive a Webhook event, completes authentication and analyzes a message; the MCP client sends the message to a large language model, ACL permission judgment is carried out, and an MCPServer method and parameters to be called are recognized; if the permission is judged to be'unauthorized ', stopping, and then submitting permission errors to a big language model organization and description and directly executing and returning'insufficient permission'; if the permission is judged to be'authorization ', the next step is carried out; and the MCP client calls the MCP server (through HTTP + SSE or stdio) to obtain a structured result. According to the method, the unstructured chat instruction is stably converted into the standardized MCP request, and coupling of dialect type APIs of all back-end systems is eliminated.

The invention discloses an agent security execution control method and system, and relates to the technical field of artificial intelligence, and the method comprises the following steps: receiving a natural language input of a user, analyzing a spoken language demand into a structured design intention expression through an intention analysis agent, and obtaining a structured design intention expression; the design intention representation at least comprises a target entity, an operation constraint and an acceptance condition; on the basis of the design intention representation, relevant context information is retrieved from design data and a rule base through a retrieval enhancement agent until the retrieval coverage degree and the key anchor point positioning confidence degree reach preset threshold values; by introducing multi-agent cooperation and a natural language driven normal form, a DFT design process is upgraded from tedious and error-prone manual script writing to an intention-driven automatic closed loop. The system can automatically analyze the spoken requirements of the user, intelligently retrieve the design context and generate an interpretable and rollback execution plan, so that engineers are liberated from underlying commands and primitive operations, and the design efficiency is remarkably improved.

A device and method for controlling autonomous driving are provided. A driving automation device may include a processor and a memory storing: an engagement state of a driver of a vehicle; and control information associated with one or more autonomous driving functions of the vehicle. The memory may further store at least one instruction that is configured, when executed by the processor communicating with the memory, to cause the driving automation device to: recognize, via at least one sensor of the vehicle, the driver of the vehicle; evaluate, based on the control information associated with the one or more autonomous driving functions, the engagement state of the driver for an autonomous driving portion of a trip, of the vehicle, during which the one or more autonomous driving functions of the vehicle are activated; and control, based on the engagement state, the one or more autonomous driving functions of the vehicle.

An artificial intelligence-driven automation system for Critical Infrastructure Protection compliance in bulk electric power systems includes a machine-based compliance control apparatus having a processing unit, a non-transitory memory unit, and a communication interface unit that receives real-time operational state data, access activity data, configuration state data, and security event data from regulated power system assets and supporting systems. Trained artificial intelligence models stored in the memory unit are executed by the processing unit to correlate observed system states with predefined compliance control requirements and to determine a real-time compliance state for each regulated asset. Upon detection of a compliance deviation or predicted non-compliance risk, compliance enforcement actions are automatically initiated, including access restriction, configuration restoration, and communication path isolation, and verifies restoration of compliance through post-enforcement evaluation. Tamper-resistant compliance evidence records bound to time-synchronized timestamps and asset identifiers are generated, thereby enabling continuous audit readiness and proactive compliance management.

The present disclosure relates to a method for a driving automation system function for a motor vehicle. The method comprises: acquiring driving maneuver information; determining, based on the driving maneuver information, a planar trajectory with a stopping point at which the motor vehicle comes to a standstill according to the planar trajectory, wherein the planar trajectory with the stopping point describes a curvature; determining, based on the curvature, a steering angle relative to the stopping point; determining, depending on the steering angle, an adapted trajectory with a target steering angle reduced compared to the steering angle; and outputting a control signal for controlling the driving automation system function to follow the adapted trajectory.

A method for upgrading driving automation features is provided. The method is applicable to vehicles that include a first controller with a drive-by-wire system. The method includes connecting a second controller to the first controller. The second controller is configured to generate a control command and to send the control command to the first controller. The first controller controls a movement of the vehicle according to the control command by utilizing the drive-by-wire system. In addition, a domain controller and a vehicle using this method are also provided.

The present disclosure relates to enabling active learning for object classification by an automotive vision system configured to perform visual perception tasks, based on which a vehicle is configured to perform at least one driving automation system feature. The automotive vision system determines one or more 3D bounding boxes and a corresponding object class within three-dimensional sets of automotive sensor data, which including at least one automotive camera frame, i.e. two-dimensional data, while a secondary vision system determines one or more 2D bounding box vectors for each automotive camera frame. Based at least on the one or more 2D bounding box vectors, a frame score is calculated for each automotive camera frame. Then, one or more automotive camera frames are provided to an oracle based on the corresponding frame scores. The oracle returns annotated camera frames, which may then be used to retrain the automotive vision system.

The invention provides a vehicle control method, a computer program product and electronic equipment, and according to the vehicle control method provided by the invention, after a first driving assistance function of a vehicle is activated, if a recoverable degradation condition of the first driving assistance function is identified to be satisfied, the vehicle is started to recover the recoverable degradation condition. If yes, a second driving auxiliary function of the vehicle can be operated to perform driving control on the vehicle; wherein the driving automation level of the second driving assistance function can be lower than the driving automation level of the first driving assistance function; and when the duration that the recoverable degradation condition is met is longer than the first duration, or within the first duration that the second driving auxiliary function is operated to perform driving control on the vehicle, identifying that the second driving auxiliary function is changed from the activated state to the inactivated state, and identifying that the second driving auxiliary function is changed from the activated state to the inactivated state. After at least one condition that other operation conditions of the first driving auxiliary function are not met occurs, degradation processing condition information for the first driving auxiliary function can be controlled to be displayed.

The invention relates to a device for controlling the longitudinal guidance of a vehicle designed for at least partially automated driving. The vehicle comprises a first operating element for controlling the longitudinal guidance by a driver, which first operating element can be locked within predetermined position limits depending on a variable representing the degree of driving automation of the vehicle and depending on a first condition. The locking of the first operating element can be released depending on the variable representing the degree of driving automation of the vehicle and depending on a second condition, a different haptic effect can be generated on the first operating element for a first mode transition from a manual mode to an automated driving and for a second mode transition from automated driving to a manual mode, the predetermined position limits can be changed depending on the vehicle acceleration, the driver can obtain a suitable adapted starting position to continue to control the vehicle when taking over the longitudinal guidance of the vehicle at least, and a seamless transition into a precisely dosed manual acceleration can be achieved by the driver without an acceleration jump.

The invention relates to an electric drive device with a linearly reciprocating output member for driving automation devices in production, in particular for driving a clamping, gripping, shifting, limiting or positioning device, which comprises an electric rotary motor (2) which has an output shaft (20) which is coupled to a motion screw (31 ) of the device (3) for converting rotational motion into linear motion, the linearly movable output of which is coupled to the output member (110) of the electric device, wherein the output element (110) is linearly reciprocably slidably mounted in the housing (11 ) of the device and is provided with means for coupling to the driven mechanical device (A) and the electric drive device is provided with control electronics for the individual parts of the device. The rotary motor (2) is formed by a BLDC or LSPMSM motor with an external rotor (21 ).

Embodiments of the present disclosure relate to data-driven automation provisioning for telecommunications applications. Systems and methods for constructing service templates that allow for agentless, data-driven, and stateful automation of provisioning of services to mobile network customers. Data associated with a request to create a target schema object class for a device and a protocol is received. Based on the device and protocol information, a set of data fields associated with CRUD semantics is retrieved from a database or from user-provided data. A decorated target object class is created based on the requested target schema object class. A sub-recipe is created that includes the decorated target object class and one or more other decorated target object classes. The recipe is processed for transmission to an execution engine to form a service instance that is customizable by an operator for a particular network device, such that service instance data fields that are not pre-populated are able to be customized by the operator.

The application discloses a kind of sensor manual automatic analysis and ROS2 generation system and method, to sensor PDF manual as input, by AI multimodal analysis and integrity evaluation, extract three elements and complete credibility score;Low credibility manual is carried out to multi-source information completion;Generation standardized format structured protocol intermediate representation IR, after checking, automatically generate ROS2 drive code package, complete compilation verification and AI code repair;Start hardware-independent simulation verification closed loop, carry out multidimensional automatic verification and output structured report;For manual version iteration, by IR difference comparison realizes incremental update and incremental verification.The application can shorten the development cycle of drive, adapt to incomplete manual scene, guarantee the quality of drive, reduce version iteration cost, suitable for laser radar, camera, IMU and other sensor ROS2 drive automation development.

A method includes: receiving contextual data from an autonomous vehicle, wherein the contextual data includes data obtained from the autonomous vehicle and data obtained from other vehicles; in response to receiving the contextual data from the autonomous vehicle, determining a level of driving automation that is predicted to provide a highest level of efficiency of the autonomous vehicle based on the contextual data and using a machine learning model; and transmitting, to the autonomous vehicle, a recommendation including the determined level of driving automation.

The invention provides a method for upgrading a driving automation function. The method is suitable for a vehicle comprising a first controller with a drive-by-wire system. The upgrade method includes connecting the second controller to the first controller. The second controller is used for generating a control instruction and sending the control instruction to the first controller. And the first controller is used for controlling the motion of the vehicle by using the drive-by-wire system according to the control instruction. In addition, a domain controller and a vehicle using the method are also provided.

The present disclosure relates to systems, methods, and non-transitory computer-readable media for using rule-based automations that can be executed upon upload of a content item. In some embodiments, upon receiving an upload of a content item, the disclosed systems can determine an automation rule for the content item. In particular, the disclosed systems can process content item data of an uploaded content item and / or extract content item metadata associated with the content item. In some cases, the disclosed systems compare the data and / or the metadata to a set of automation rules associated with a user account. For instance, using the data and / or the metadata, the disclosed systems determine whether an automation rule satisfies a threshold rule score. If so, the disclosed systems select and execute a corresponding automation. If not, the disclosed systems can use secondary measures to select and execute a corresponding automation.

The application provides a cloud-supported vehicle active safety control method and system, the method comprising: receiving a cloud risk control strategy issued by the cloud, the cloud risk control strategy being obtained by the cloud based on risk analysis results of fusion perception data uploaded to a cloud control basic platform and combined with a vehicle driving automation level to generate a differentiated control strategy, the fusion perception data being obtained by the cloud control basic platform based on fusion of vehicle perception data and roadside device perception data uploaded to an edge cloud; generating a vehicle control instruction based on the cloud risk control strategy, or based on the cloud risk control strategy and a local risk control decision, according to the vehicle driving automation level; the local risk control decision being generated based on the vehicle perception data when the vehicle driving automation level is greater than or equal to a preset level. The application can improve the comprehensiveness and accuracy of environmental perception, avoid visual range obstruction, and realize fine and differentiated risk control.

The invention provides an automatic driving-oriented road non-signalized intersection driving suitability evaluation method, which comprises the following steps of: based on a driving automation level of a target vehicle, matching sensing, braking and takeover characteristic parameters of a corresponding level, and differentially calculating a required parking sight distance of the corresponding level; obtaining an automatic driving effective detection distance corresponding to the target scene, and obtaining an available sight distance in combination with the geometric parameters of the intersection; obtaining a static driving suitability index through the sight distance performance function; the method comprises the following steps: for an automatic driving vehicle-dynamic interaction vehicle collision scene, calculating time dimension conflict index post-intrusion time PET and space dimension redundancy index parking distance ratio PSD of a conflict scene; and taking the comparison result of the PET and the PET safety threshold as a first judgment level, and taking the parking distance ratio (PSD) as a second review judgment level to obtain a dynamic driving suitability index. And according to the static driving suitability index and the dynamic driving suitability index, realizing driving suitability evaluation.

A method of processing data for a driving automation system, the method comprising steps of: obtaining image data from a camera of an autonomous vehicle, AV; image processing the image data to obtain a vehicle registration mark, VRM, of another vehicle within the surrounding area of the AV; looking up the VRM in a vehicle information database to obtain information indicative of the make, the model and the date of manufacture of the other vehicle; looking up information indicative of the make, the model and the date of manufacture of the other vehicle in a vehicle dimensions database to obtain at least one dimension of the other vehicle; and updating a context of the autonomous vehicle based on said at least one dimension of the other vehicle.

A method (600) and a system (102) for providing assurance of AI-Driven Automation system are disclosed. One or more processors (110), of the system (102), receive, an AI model intended to solve a real-time problem, in a pre-deployment state of the AI model and verify (202) that the AI model solves the real-time problem, by performing at least one of a plurality of analyses on the AI model. The one or more processors (110) validates (302) that the AI model solves the real-time problem, based on one or more predefined techniques and perform, a safety and risk operation on the AI model to determine a health status of the AI model, while deploying the AI model and assess (502) one or more operations of the AI model to solve the real-time problem, after performing the safety and risk operation, in a post-deployment of the AI model in the system.

The application discloses a kind of sensor manual automatic analysis and ROS2 generation system and method, to sensor PDF manual as input, by AI multimodal analysis and integrity evaluation, extract three elements and complete credibility score;Low credibility manual is carried out to multi-source information completion;Generation standardized format structured protocol intermediate representation IR, after checking, automatically generate ROS2 drive code package, complete compilation verification and AI code repair;Start hardware-independent simulation verification closed loop, carry out multidimensional automatic verification and output structured report;For manual version iteration, by IR difference comparison realizes incremental update and incremental verification.The application can shorten the development cycle of drive, adapt to incomplete manual scene, guarantee the quality of drive, reduce version iteration cost, suitable for laser radar, camera, IMU and other sensor ROS2 drive automation development.

The invention discloses a skid-mounted product three-dimensional design system based on parametric modeling, which comprises a database module, a parameter input module and a modeling module, and is characterized in that a standard model is stored in the database module; the receiving module is used for receiving design parameters of cylindrical products; the modeling module comprises a modeling algorithm library and is used for supporting automatic pipeline trend generation based on the technological process, inputting size and pipeline grade, automatically identifying nozzle information and completing pipeline generation of fixed information according to a standard model in the database module according to input design parameters; and after the pipeline is generated, the pipeline and the pump are accurately modeled, and a control cabinet and an instrument of the integrated control system are integrated, so that the standard model is perfected. By establishing a unified standard model library and a parametric modeling engine, the system can quickly call and instantiate standard components according to design parameters input by a user, repeated manual modeling is avoided, and fundamental transformation from manual building block building to parameter-driven automation is achieved.

The invention relates to a display processing method and device of a cabin system and a mobile device, the method is used for the mobile device configured with a driving automation system, and the method comprises the following steps: receiving first information output by the driving automation system; rendering and displaying a first view element representing the first information at a first set position of a cabin display area based on a set cabin display topological structure; and under the condition that the first information is set key information, displaying a second view element representing the first information in a view container resident in the cabin display area based on the cabin display topological structure.

Systems and methods are provided for modulating longitudinal vehicle dynamics according to a calculated probability of future unplanned disengagement of a driving automation system. In particular, some embodiments aim to alert drivers of both a likelihood of unplanned disengagement, as well as a source of unplanned disengagement.

The application discloses a kind of dense stacking type automated container yard loading and unloading operation method, and the lane of automated horizontal transport equipment, flow machine operation area, outside container truck lane and stacking area are arranged;Based on the above arrangement, realize the loading and unloading process of the container into the dense stacking type automated container yard, the loading and unloading process of the container out of the dense stacking type automated container yard, the direct interaction of the loading and unloading process of the container in the dense stacking type automated container yard in the lane of automated horizontal transport equipment, and the direct interaction of the loading and unloading process of the container outside the dense stacking type automated container yard in the outside container truck lane.The application overcomes the condition that unmanned automated horizontal transport equipment and manned container truck outside cannot safely and reliably, legally and regularly mix in the prior art, and eliminates the possible safety hazards in the interaction process.

The invention relates to a control apparatus and method for controlling a vehicle. An apparatus and a method for controlling automatic driving are provided. The driving automation device may include a processor and a memory that stores an engagement state of a driver of the vehicle and control information related to one or more automatic driving functions of the vehicle. The memory may further store at least one instruction configured to, when executed by a processor in communication with the memory, cause the driving automation device to: identify a driver of the vehicle by at least one sensor of the vehicle; evaluating an engagement state of the driver for an autonomous driving portion of the vehicle in the journey of the vehicle in which the one or more autonomous driving functions are activated, based on the control information related to the one or more autonomous driving functions; based on the engagement state, one or more automated driving functions of the vehicle are controlled.

The present disclosure provides methods and systems for monitoring a driving automation system of a vehicle. An example system comprises a vehicle interface for connecting to a forward-facing camera mounted on the vehicle to receive video data, a microphone for recording audio signals from inside the vehicle, an internal measurement unit (IMU) for generating vehicle motion signals comprising at least a lateral acceleration signal, a longitudinal acceleration signal, and a yaw angular acceleration signal, and a processor connected to process the video data, audio signals and vehicle motion signals to determine whether the driving automation signal is engaged or disengaged.

A method for a driving automation system function for a motor vehicle includes capturing driving maneuver information; determining, on the basis of the driving maneuver information, a planned trajectory with a stopping location, at which the motor vehicle comes to a standstill according to the planned trajectory, wherein the planned trajectory with the stopping location describes a curvature; determining, on the basis of the curvature, a steering angle related to the stopping location; determining, on the basis of the steering angle, an adjusted trajectory with a reduced target steering angle compared to the steering angle; and outputting a control signal for controlling the driving automation system function to follow the adjusted trajectory.

A computer-implemented method can include: receiving, by a computing device, driving data of a vehicle indicative of a driving automation system (DAS) operating the vehicle; receiving, by the computing device, historical system DAS rating data for a vehicle type of the vehicle; analyzing, by the computing device, a historical DAS score associated with the vehicle type with a DAS score for the vehicle to calculate a DAS rating for the vehicle; and adjusting, by the computing device, the DAS operation of the vehicle based upon the DAS rating for the vehicle. Other embodiments are described.