50 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.

Aspects of adaptive trust calibration may include receiving a trust model for an occupant of an autonomous vehicle calculated based on occupant sensor data and a first scene context sensor data, and / or receiving a second scene context sensor data associated with an environment of the autonomous vehicle, determining an over trust scenario or an under trust scenario based on the trust model and a trust model threshold, and generating and implementing a human machine interface (HMI) action or a driving automation action based on the determination of the over trust scenario or the determination of the under trust scenario, and / or the second scene context sensor data.

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 utility model discloses an air-driven automated clamp for processing battery trays of new energy vehicles, comprising a base plate, a fixed plate fixedly arranged on the top of one side of the base plate, a slide plate slidingly arranged on the side of the base plate away from the fixed plate, the slide plate connected with an automatic clamping device, the automatic clamping device comprising a pressurized limiting structure and an atomizing heat dissipation structure, the pressurized limiting structure comprising a slide groove provided on the base plate, a lead screw rotatably arranged in the slide groove, a slider fixedly arranged at the bottom of the slide groove and the size of the slider matched with the slide groove, the slider being threadedly connected with the lead screw. The utility model can adapt to different types of battery trays for clamping by automatically pressurizing and fixing through the pressurized limiting structure, and can control the pressurized pressure, and through the atomizing heat dissipation structure, when performing fixed welding work, when the clamp is separated from the workpiece, it automatically outputs an atomized airflow to the air near the workpiece, thereby achieving a better cooling and heat dissipation effect.

The invention relates to a method (15) for operating a motor vehicle (1). A current driving automation level and, depending thereon, a target state of at least one vehicle occupant (2, 5) of the motor vehicle (1) are determined. Furthermore, the current state of the at least one vehicle occupant (2, 5) is monitored, and, depending on the deviation from the target state, a device (4) of the motor vehicle (1) for generating a media experience for the vehicle occupant (2, 5) is controlled in order to minimize the deviation. The invention further relates to a corresponding vehicle system (11) and a correspondingly configured motor vehicle (1).

The invention discloses a vehicle automatic driving method and device and a vehicle, and belongs to the technical field of automatic driving. A specific embodiment of the method comprises the following steps: acquiring driving information of a vehicle under the condition that a driving automation level of an intelligent driving system currently activated by the vehicle is determined to be any preset level; analyzing whether the vehicle meets a degradation condition of an automatic driving function according to the driving information; if yes, sending inquiry information for degradation of the automatic driving function; and receiving a feedback signal aiming at the inquiry information, and controlling the function of the vehicle to be reduced from the driving automation level to a target driving automation level under the condition that the feedback signal indicates confirmation. The embodiment of the invention provides a high-safety and intelligent process for degradation of the automatic driving function of the vehicle, the refinement degree of automatic driving control of the vehicle is improved, and the vehicle using experience of passengers is improved.

The invention discloses an intelligent driving simulation method and system based on multi-agent reinforcement learning, relates to the technical field of intelligent driving, and is used for solving the problems that a traditional path planning method is generally based on a static map and rules, is difficult to adapt to a dynamically changing traffic environment, easily causes a local optimal solution, and is inconvenient to use. The problems that an allocation strategy is based on a fixed rule or a simple heuristic algorithm, energy is wasted, the endurance mileage is shortened, and selection of an attenuation method has important influences on the convergence speed and stability of the algorithm are solved. Through multi-agent reinforcement learning, the system can realize intelligent path planning, power distribution and vehicle speed adjustment, and the automation level of driving is improved. Safety, efficiency and comfort are comprehensively considered, multi-objective optimization is achieved in a complex traffic environment, the overall driving performance is improved, high robustness and adaptability are achieved, a battery energy consumption distribution strategy is dynamically adjusted, and energy waste is reduced.

The invention relates to the technical field of computers, and discloses a distributed integration-based adaptive software and hardware collaborative scheduling system and method.Working data is acquired through a sensing acquisition module, and system states are distinguished and task requirements are predicted through a sensing processing strategy; the resource management module dynamically schedules task resources of software and hardware according to the system state and the task requirement and generates a scheduling result of the task resources, and through refined resource management, the scheduling system can dynamically allocate and schedule the resources according to the actual task requirement and the system state, the resource utilization rate is increased, and waste is reduced; the task scheduling module determines a task scheduling strategy according to the scheduling result of the task resources; the control execution module converts the task scheduling strategy into a control signal and drives the automation equipment to execute the task; and the feedback adjustment module obtains a task execution result and a system state of the automation equipment, generates a feedback signal through a signal generation strategy, and dynamically adjusts a task scheduling strategy.

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 autonomous road vehicle (210) is transported by a railcar (280) for automated railed travel on a railway (298). During automated railed travel, the railcar (280) is powered by the main power source (212) of the autonomous road vehicle (210) and is driven by the driving automation control system (151) of the autonomous road vehicle (210). A driver control (254) of the autonomous road vehicle (210) enables a human driver to apply emergency braking during both road and railed travel.

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.

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.

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.

To satisfactorily make a driver conscious of a transition between driving levels due to termination of automated driving.SOLUTION: An HMI control device (25) includes a driving level acquisition section (253) and a display control section (255). The driving level acquisition section acquires a determination result of a driving level corresponding to an execution state including whether or not driving automation is executed in a driving control device (18) for controlling driving of a vehicle. The display control section controls image display operation in an HMI device (20) according to the driving level acquired by the driving level acquisition section. The display control section causes the HMI device to display an action instruction display for instructing a driver to take a low-level corresponding state in which, while a high level included in automated driving is terminated, the driving level lower than the high level can be executed, as a driver state, and performs an action instruction display for instructing the driver to take a middle-level corresponding state in which the driving level of a middle level can be executed.SELECTED DRAWING: Figure 2

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.

To determine a safe acceleration in a system performing longitudinal control of a vehicle as part of an ADS feature.SOLUTION: A method for performing an ADS feature, which enables a vehicle to provide driving automation. The method comprises controlling an acceleration of the vehicle using a control system on the basis of automotive sensor data and a planned acceleration. The control system comprises: a first set of control components having a first automotive safety integrity level (ASIL); and a second set of control components having a second ASIL. Therein: the first ASIL is lower than the second ASIL; an acceleration deviation caused by the first set of control components is detected on the basis of the automotive sensor data; and when the acceleration deviation is detected, a safe acceleration state is determined using the second set of control components.SELECTED DRAWING: Figure 2

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 control device (18) is configured to be capable of executing a lane change control in a vehicle capable of automated driving, the lane change control being a driving control for a lane change and including at least an automatic steering manipulation control, wherein the control device is provided with: a processor (181); and a memory (182) that is a non-transitory tangible storage medium, storing data and program commands used by the processor. The processor is configured to limit the lane change control even in an automated driving in which a driver makes an execution start instruction of the lane change, in a first case where a transfer region at which a driving automation level changes is within a prescribed distance or within a prescribed time, or in a second case where a lane change destination region has a merging point or a curve point.

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.

Systems and methods are provided to notify an operator of an active and correctly operating driving automation system. More specifically, the notification is executed through modulation of longitudinal vehicle dynamics based on cruising speed or following distance to a leading vehicle.

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.