6175 results about "Information control" patented technology

The invention discloses an automatic driving method and system based on an end-to-end and multi-modal large model. The method comprises the following steps: determining image information, vehicle historical information, navigation information and text information collected by a plurality of sensors of a target vehicle; based on an encoder corresponding to each type of information, respectively encoding the image information, the vehicle historical information, the navigation information and the text information to obtain a plurality of encoding tokens; respectively inputting the plurality of coding tokens into a trained multi-modal large language model for prediction to obtain a plurality of decoding tokens; decoding the plurality of decoding tokens based on a trajectory decoder and a text decoder, and outputting a planned trajectory and control information of the target vehicle in parallel; and based on the planned trajectory and the control information, controlling the target vehicle to automatically drive according to the planned trajectory, and performing text interpretation on the current automatic driving strategy. Therefore, the scheme is high in integration level and construction efficiency, high in generalization, high in iteration and high in adaptability, and the automatic driving landing and service efficiency is improved.

The embodiment of the invention provides an optical system, intelligent head-mounted equipment and a zooming method of the optical system. The optical system is used for the intelligent head-mounted device, and the optical system comprises an imaging module, an eyeball tracking module and a processor. The imaging module comprises a zoom lens, and the eyeball tracking module is used for acquiring eyeball watching information; the processor is used for determining zoom information according to eyeball watching information provided by the eyeball tracking module and controlling the zoom lens to zoom according to the zoom information; wherein the zoom information comprises the thickness and the curvature radius of the zoom lens.

To make effective use of multi-access session.SOLUTION: In a mobile communication system including a core network connected to a plurality of radio access networks, the core network includes a network device for transmitting DC control information for a multi-access session indicating a combination of base stations that prohibit DC (Dual Connectivity) for a user terminal to a base station of a radio access network to which the user terminal is connected when a multi-access session to be established between the user terminal and the core network satisfies a specific multi-access session condition, and the base station includes a DC control unit for controlling DC for the user terminal based on the DC control information for the multi-access session.SELECTED DRAWING: Figure 1

Provided are a vehicle control method and apparatus, and a vehicle-mounted device, a vehicle and a storage medium. The vehicle control method comprises: on the basis of environmental perception data, position data of a vehicle, and map data, determining behavior trajectory information of a target object in an environment where the vehicle is located; sending the behavior trajectory information of the target object and ego-vehicle trajectory information of the vehicle to a server, so that the server processes the behavior trajectory information of the target object and the ego-vehicle trajectory information on the basis of a target model to generate planning and decision-making information, wherein the target model is a generative pretrained transformer and is obtained by means of performing training on the basis of a plurality of types of training sample data; receiving the planning and decision-making information fed back by the server, and on the basis of the behavior trajectory information of the target object and the planning and decision-making information, generating planning trajectory information and driving strategy information for the vehicle; and on the basis of the planning trajectory information and the driving strategy information, controlling the vehicle to travel. The safety of autonomous driving and the driving and riding experience of users can be improved.

Disclosed are systems, apparatuses, methods, and computer-readable media for inventory monitoring in a multi-cloud network environment. A method includes receiving user input via a controller's interface, wherein the input includes first account information granting access to a first virtual private cloud and a second virtual private cloud, both hosted by a cloud service provider (CSP). The controller queries the first and second virtual private clouds using the respective account information and the CSP's APIs to identify resources, gathering them into an inventory, and maintains a mapping of tags to the resources, associating each tag with a specific security policy. The controller forwards a first subset of tag-resource mappings to a first security gateway in the first virtual private cloud, enabling automatic application of corresponding security policies upon instantiation of tagged resources.

The invention provides a following vehicle locking man-machine interaction method and device, electronic equipment, a vehicle and a medium, and the method comprises the steps: obtaining the real-time sensing data of the surrounding environment of the vehicle, and generating and displaying the other vehicle identifier corresponding to the other vehicle in the surrounding environment on the intelligent driving sensing picture of the own vehicle according to the real-time sensing data; the other car identification comprises a locking car following touch control identification used for indicating the self car to lock the car following relative to the other car; touch operation received by the locking and following touch identification is detected in real time, the other vehicle corresponding to the touched locking and following touch identification is determined as a target vehicle, and a control instruction of locking and following of the own vehicle relative to the target vehicle is generated; and according to the vehicle attribute of the target vehicle and the real-time vehicle information, controlling whether the vehicle is locked according to the control instruction to follow the target vehicle to run. According to the human-computer interaction method for locking the following car, the driving safety is ensured while the individuation degree of the intelligent driving system is improved, so that the user experience of automatic driving is improved.

The present invention relates to the technical field of warehousing control. In particular disclosed are an automatic cargo loading and unloading warehousing control system and a cargo loading and unloading device therefor, the system being provided with a compartment parking information acquisition and processing module, an intelligent cargo conveyance control module, a warehousing management information comprehensive determination module, and a data control library. First, compartment parking information acquisition and preprocessing is performed, and it is determined whether a cargo loading and unloading AGV can be started, and next, a first channel is screened out to convey a goods in a compartment. Hence, a control anomaly value of warehousing management information of an intelligent warehousing control platform is comprehensively calculated, and the warehouse management information is subjected to autonomous early warning control and indication, thus facilitating rapid operations of cargo loading and unloading, and greatly improving the efficiency of warehousing intelligentization. Meanwhile, the labor costs of warehousing operations can be reduced, and the quality and accuracy of cargo processing can also be improved.

The invention provides an intelligent slice thickness adjusting system of a slicing machine. The intelligent slice thickness adjusting system comprises a slicing machine body, a slice thickness sensor, an image collecting device, a control processing unit and an executing mechanism. The slice thickness sensor detects the actual thickness of a slice in real time, the image acquisition device acquires slice image information, and the control processing unit calculates the uniformity parameter of the slice thickness through the image analysis module, performs analysis in combination with thickness detection data, and generates an adjustment instruction after comparing preset slice parameters. And the executing mechanism adjusts the opening degree of the discharging opening according to the adjusting instruction so as to achieve accurate slicing thickness control. By combining image analysis and data processing, the precision and uniformity of slice thickness control are improved, manual adjustment errors are reduced, the production efficiency and the product quality are improved, and the method is suitable for the fields of food processing, material slicing and the like.

The invention discloses a method for realizing data acquisition clock synchronization through Beidou time service and an FPGA phase-locked loop, and the method comprises the steps: obtaining a short message service signal of a Beidou satellite navigation system, and carrying out the analysis to obtain time service information; controlling a digital phase-locked loop to calibrate a local clock signal according to the time service information; monitoring the deviation between the time service information and the local clock signal, and adjusting the frequency and phase of the local clock signal through feedback control of the digital phase-locked loop; monitoring a clock synchronization state, setting a clock deviation threshold value, judging the synchronization state of the time service information and the local clock signal, if the deviation exceeds a threshold value range, triggering an alarm signal, and taking a recovery measure according to an abnormity type and duration time; a hardware timestamp function is integrated, clock synchronization with other acquisition nodes is carried out through a precise time protocol, and the acquisition time of seismic data is recorded.

The invention provides a wafer turnover device and method and wafer processing equipment. The wafer turnover device comprises a supporting unit, a wafer turnover unit and a control unit, the clamping unit comprises two clamping assemblies, and the two clamping assemblies are arranged on the supporting unit in a spaced mode in the first direction; the moving unit is connected to the clamping unit, and the moving unit drives the two clamping assemblies to move face to face or back to back in the first direction; the overturning unit is connected with the clamping unit, and the overturning unit can drive the clamping unit to drive the wafer to overturn; the detection unit is used for detecting actual clamping information applied to the wafer by the clamping assembly, and the actual clamping information comprises at least one of the actual clamping information and the actual clamping position; and the control unit is used for controlling the moving unit to enable the two clamping assemblies to move towards each other or away from each other according to the actual clamping information and preset target clamping information. According to the wafer turnover device and method and the wafer processing equipment disclosed by the invention, the wafer fragmentation phenomenon can be reduced.

A terminal according to an aspect of the present disclosure includes: a receiving section that receives first configuration information related to a physical uplink control channel (PUCCH), second configuration information related to a physical uplink shared channel (PUSCH), and third configuration information related to uplink simultaneous transmission using multiple panels; and a control section that controls, based on the first configuration information, the second configuration information, and the third configuration information, selection related to a resource for the PUSCH and transmission of at least one of the PUSCH and the PUCCH. An aspect of the present disclosure enables UL transmission to be appropriately controlled even when the UL transmission is performed using multiple panels.

The invention relates to the technical field of fruit tree pruning, in particular to an automatic fruit tree pruning system based on machine vision, which comprises a camera used for capturing fruit tree images and determining specific positions of fruits, branches and leaves. And the image processing module is used for identifying branch structures through an image processing technology and identifying branches and leaves needing to be pruned. And the decision making module is used for calculating a cutting path and a driving path of the trimmer and the driving vehicle from the current position to the target position according to a result of the image processing module. And the intelligent control module is used for controlling the trimmer and the driving vehicle to move to a target position to trim branches and leaves according to the information provided by the decision making module, and avoiding fruits and branches and leaves which do not need to be trimmed in the trimming process. By accurately identifying the branch structure of the fruit tree, the angle and force of the trimmer are adjusted in real time, fruits of the fruit tree and branches and leaves which do not need to be trimmed are avoided, trimming is more accurate, and the healthy growth state of the fruit tree can be maintained.

The invention discloses a reconfigurable systolic array tensor IP core based on an FPGA. The architecture comprises a core controller, a shift distributor, a data processing array and a four-stage data cache. The tensor core can adapt to general tensor multiplication and addition operations in Prefill and Decode stages of the generative neural network at the same time through reconfigurable design. The core controller receives the tensor multiplication instruction and the configuration information and decouples the tensor multiplication instruction and the configuration information according to a data stream to generate a plurality of block tensor multiplication instructions. The shift distributor decodes a block tensor multiplication instruction, decoded mode information controls data communication between a first-level cache and a second-level cache (Distrided RAM and Bram), a control signal of a data processing array is generated, and the control signal enters the array together with data to flow. And the data processing array is connected with different secondary BRAM caches according to the received configuration information and is used for processing data in a bubble-free pulsating flow manner. The four-stage data cache realizes the multi-stage pinpong operation of the loading of the operation data of the tensor operation core, and realizes the multi-stage pipeline design of the data from the off-chip HBM to the on-chip URAM, from the URAM to the BRAM and from the BRAM to the operation unit. Aiming at a single-user edge end generation type network reasoning task, a core controller generates a data processing unit mode configuration signal in a fine-grained (tensor element level) manner, and the data processing unit mode configuration signal is transmitted by a shift distributor and flows in parallel with operation data, so that the mode configuration efficiency and the hardware resource utilization rate are greatly improved, the problem of high fan-out caused by broadcast control is reduced, and the user experience is improved. A control flow is designed by means of the structural characteristics of the systolic array, and a complex control algorithm is realized with low resource occupation.

An electrode manufacturing apparatus according to one aspect of the present disclosure is configured to discharge a liquid to form a resin layer or an inorganic layer on an electrode substrate which is being conveyed in a predetermined direction. The electrode manufacturing apparatus includes a detector, a liquid discharger provided downstream of the detector in the predetermined direction and configured to discharge the liquid to form the resin layer or the inorganic layer, and a controller configured to control a discharge condition of the liquid discharger. Points where a property varies are present on the electrode substrate along a direction intersecting the predetermined direction. The detector outputs pieces of detection information obtained by detecting one of the points in time series, and the controller controls the discharge condition of the liquid discharger based on combined detection information obtained by combining the pieces of detection information.

A computer-implemented method for controlling a robot collaborating with a human in an environment of the robot comprises: obtaining, by at least one sensor, multimodal information on the environment of the robot including information on a human acting in the environment; converting, by a first converter, the obtained multimodal information into text information; estimating, by an intent estimator, an intent of the human based on the text information; determining, by a state estimator, a current state of the environment including the human based on the text information; planning, by a behavior planner, based on the current state of the environment and the estimated intent of the human, a behavior of the robot including at least one multimodal interaction output for execution by the robot, and generating control information including text information on the at least one multimodal interaction output; converting, by a second translator, the generated text information into multimodal actuator control information; and controlling at least one actuator of the robot based on the multimodal actuator control information.

The invention discloses a control method for optimal visual perception of an unmanned aerial vehicle, and provides an optimal perception control method for the unmanned aerial vehicle for the key problem of task execution of the unmanned aerial vehicle, namely the stability and the high efficiency of unmanned aerial vehicle control according to the requirement of the unmanned aerial vehicle for the perception stability in the flight process. The method comprises the steps of designing an unmanned aerial vehicle visual perception algorithm and a control algorithm. The visual perception positioning uses ORB-SLAM3 to obtain the position and attitude information of the unmanned aerial vehicle; the control algorithm uses a non-linear model prediction control algorithm, an unmanned aerial vehicle control instruction sequence is solved according to the current position attitude and positioning information of the unmanned aerial vehicle and an expected track, the unmanned aerial vehicle is controlled, and meanwhile it is ensured that the perception quality of the unmanned aerial vehicle meets the control requirement.

One or more example embodiments relate to a vehicle and a method for performing autonomous valet parking. A vehicle may include at least one sensor configured to obtain image data indicating a surrounding environment of the vehicle; a controller configured to control at least one operation of the vehicle; a communication interface; and at least one processor. The at least one processor may be configured to: identify, based on the image data, a unique marker installed in a parking lot; set, based on the unique marker, position information of the vehicle; identify, based on the image data, an anonymous marker installed in the parking lot; adjust, based on the anonymous marker, the position information of the vehicle; and control, based on the adjusted position information of the vehicle, an autonomous parking operation of the vehicle.

The invention provides a micro-nano processing laboratory equipment information control method and device. The method comprises the following steps: acquiring user login information; calling item information to which a user belongs, user experiment reservation information, user associated equipment information and user historical query information according to the user login information; predicting the attention weight of the user to each piece of laboratory equipment management information in combination with the user identity permission, the item information to which the user belongs, the user reservation experiment information, the user associated equipment information and the user historical query information; adjusting the display sequence and the detailed degree of each piece of laboratory equipment management information in combination with the attention weight; and the data board is used for sending laboratory equipment management information to the user according to the display sequence and the detailed degree.

The invention discloses an environment space relation reasoning method based on multi-agent debate, a medium and equipment, and belongs to the technical field of large model reasoning. The environment space relation reasoning method comprises the following steps: receiving external instruction information; based on the external instruction information, controlling a plurality of agents to independently analyze, and outputting respective task planning results I; wherein the plurality of intelligent agents are composed of multi-modal large models with different system cues, and are used for representing different roles; controlling the plurality of agents to perform information interaction of respective task planning results based on an information interaction strategy, so that each of the plurality of agents outputs an updated task planning result 2 according to an information interaction result; and inputting the task planning results II output by all the agents into the judgment agent for analysis. The environment space relation reasoning method based on the multi-agent debate is high in three-dimensional space sensing capacity and high in environment space relation reasoning capacity for complex conditions, and illusion can be well resisted.

The invention provides a robot falling-down self-recovery method and device based on deep reinforcement learning, and relates to the technical field of sensors and robots. The method comprises the steps of calling sensor data of the robot in response to the fact that the robot is in a falling state, and judging falling posture information of the robot according to the sensor data; according to the falling posture information of the robot, the robot is controlled to be adjusted to a pre-recovery posture; and executing a tumble recovery strategy obtained based on deep reinforcement learning training, and controlling the robot to be adjusted from the pre-recovery posture to the pre-standing posture or controlling the robot to stand. According to the method and the device, the self-recovery action can be more stably and safely completed after the robot falls down, and the self-recovery capability and the use safety of the robot in a complex scene are improved.

The embodiment of the invention provides a laser control method and device, electronic equipment and a laser. The method comprises the following steps: determining a target pump source temperature corresponding to a pump source in the laser, wherein the target pump source temperature is the pump source temperature when the pump source in the laser can operate according to a preset use condition in the operation process of the laser; determining target cooling parameter information adopted during operation of the laser based on the target pump source temperature, wherein the target cooling parameter information is used for indicating circulating cooling liquid temperature and / or circulating cooling liquid flow required for cooling the laser to enable a pump source in the laser to reach the target pump source temperature; and based on the target cooling parameter information, controlling a water cooling machine associated with a laser to supply circulating cooling liquid. According to the scheme, the laser can be protected, and laser damage or power reduction caused by pump burning can be reduced.

The invention discloses a ship container battery management system and a ship. The ship container battery management system comprises at least one battery management module which is connected with at least one battery pack and is used for acquiring data information of each battery cell in the battery pack; the cluster control management module is arranged corresponding to the battery cluster, and the cluster control management module is connected with the battery management module and used for generating state information of the battery cluster according to the data information; the battery cluster comprises at least one battery pack; a first control module and a second control module, the first control module and the second control module are connected with each other and are redundant standby for each other, and the first control module and the second control module are both connected with each cluster control management module; and the first control module or the second control module is used for controlling the cluster control management module to manage connection or disconnection of the battery cluster according to the data information and / or the state information. According to the technical scheme provided by the embodiment of the invention, the reliability of the battery management system is improved.

A wireless relay device includes: a communication unit that receives signaling including control information related to a relay function from a base station; a control unit that controls the relay function based on the control information; and a relay unit that executes the relay function of receiving a first signal from the base station, transmitting the first signal to a terminal, receiving a second signal from the terminal, and transmitting the second signal to the base station, in which the control unit enables or disables transmission and reception of the first signal and transmission and reception of the second signal based on the control information.

The present technology relates to an information processing system and an information processing method capable of suitably reducing an immersive feeling of a user.An information control system of the present technology includes a presentation control unit that presents content including an object to a user and changes the object according to a stage of interaction of the user with the object at a timing according to an immersion degree of the user with respect to the content. The presentation control unit changes a plurality of types of visual characteristics of the object. Furthermore, the presentation control unit changes a visual characteristic including at least one of a position, a depth, a motion, a size, or a shape of the object. The present technology can be applied to a system that provides VR or AR experience.

The invention provides a yard lamp intelligent control method and system and related equipment thereof. The method comprises the following steps: adjusting a lighting area according to a radar detection area; judging whether the brightness information of the current environment is lower than a first threshold value or not; if yes, the radar starts to detect a target in the illumination area, point cloud feature information of the target in the illumination area is acquired and counted, and whether a target person exists in the illumination area is judged according to the point cloud feature information; if yes, state information of the target person is obtained, and the corresponding light brightness in the lighting area is controlled according to the state information. Compared with an infrared technology, the millimeter wave frequency band radar has the advantages of high sensitivity, high measurement precision and good anti-interference performance, can realize static and moving human body identification according to human body micro-motion and motion characteristics aiming at human body detection in an illumination area, filters interference, avoids false alarm or missing alarm, and improves the detection accuracy. And the intelligent control accuracy of the existing garden lamp is improved.

A lane-changing trajectory planning method, an autonomous driving method, and a related apparatus. The autonomous driving method comprises: on the basis of first motion state information of an intelligent driving device and second motion state information of an opponent, controlling the intelligent driving device to change to a target lane within a first lane-changing time period and to be located in front of the opponent, wherein the opponent is located on the target lane for the intelligent driving device, and is located between a first position and a second position, wherein the first position is located behind the intelligent driving device and longitudinally distant from the intelligent driving device by a first distance, and the second position is located in front of the intelligent driving device and longitudinally distant from the intelligent driving device by a second distance. The technical solution of the present application can be applied to intelligent vehicles such as a new energy vehicle and an electric vehicle, and facilitates improvement of lane-changing success rates and traffic efficiency when the vehicles are in an autonomous driving mode in complex lane-changing scenarios such as merging into congested roads and merging into ramps.

In a control system for vehicles, a pre-processor of a server apparatus accumulates and records travel information received from each of the multiple vehicles in a database. A control information generator determines interference with respect to each vehicle traveling toward a merging section, based on the travel information in the database, generates individual control information, and individually transmits the individual control information. The control information generator further generates information regarding waypoints in the merging section, with respect to each vehicle traveling toward the merging section, and individually transmits the information regarding the waypoints.

This communication device includes: a control circuit that negotiates with another communication device in order to determine a spatial stream used for coordinated transmission; and a communication circuit for performing coordinated transmission with the other communication device. On the basis of information pertaining to the spatial stream obtained in the negotiation, the control circuit orthogonalizes a reference signal included in the coordinated communication signal.

A terminal according to an aspect of the present disclosure includes: a receiving section that receives information indicating a spatial relation between a reference reference signal (RS) and a target RS with respect to uplink (UL) and downlink (DL) transmission configuration indication (TCI) states; and a control section that controls to apply the TCI states to a UL channel and the target RS based on the information. According to the aspect of the present disclosure, appropriate UL transmission can be implemented.

Packets received at a routing intermediary and directed to a resource are transmitted to a data plane node of a partition of a traffic management service. The data plane node transmits an indication of a high-arrival-rate destination group, identified based on a metric of network packets received at the data plane node, to a control plane node of the service. A resource is identified at the control plane node as a rate limiting target based on high-arrival-rate group information from several data plane nodes. A limit is applied to the rate at which packets are received at the target. The control plane node changes the number of data plane nodes in the partition based on a triggering condition.