246 results about "Navigation function" patented technology

The invention discloses an autonomous navigation method for an unmanned vehicle in a complex outdoor environment, and the method comprises the steps: firstly, collecting data through a depth camera, a laser radar and other multi-source sensors, and carrying out the precise detection of dynamic obstacles and low obstacles through a multi-detector fusion algorithm and a visual language model; secondly, adopting a sector region multi-index waypoint sampling and optimization strategy to realize local path planning; and finally, designing a check point self-adaptive correction mechanism, and automatically planning a new substitute waypoint when the key check point is occupied by the obstacle for a long time. The method effectively solves the problem that the traditional navigation method is difficult to give consideration to dynamic obstacle sensing, low obstacle sensing and unreachable check points at the same time, and realizes the efficient and safe autonomous navigation function of the unmanned vehicle in a complex outdoor environment.

A method of operating a robot in a manner to avoid obstacles is disclosed. The robot is any type of following vehicle, configured to follow a leader. As the robot identifies a potential collision, specific actions are initiated to avoid such a collision while still following the leader, albeit not on a standard following path. Based on the following robot determining that the following robot is clear of the obstacle, the following robot will begin returning to the standard following position. As the robot returns to the standard following path, the specific action is completed and standard following continues. The robot may use various sensors to determine variables of the robot and obstacle, such as convergence velocity, collision distance, available space, and collision time.

The invention relates to the technical field of satellite conduction integration, and discloses a high and low orbit satellite conduction integration method and system, and the method comprises the steps: carrying out the spatial characteristic analysis of a high orbit navigation satellite signal and a low orbit communication satellite signal, and obtaining visible relation data and Doppler frequency shift characteristic data; executing high-orbit and low-orbit satellite conduction switching analysis, and generating a self-adaptive threshold parameter of conduction service switching between the high-orbit and low-orbit satellites; a high-orbit and low-orbit integrated inter-satellite communication network is established between the high-orbit navigation satellite cluster and the low-orbit communication satellite cluster; conducting resource collaborative allocation is executed, and a resource scheduling instruction is generated; according to the method, deep integration of communication and navigation functions is realized, the limitation of function separation of a traditional satellite system is broken through, and the problem of unstable control caused by dynamic change of network topology of the high-orbit and low-orbit satellites is solved.

The invention discloses a hotel guest room service task intelligent scheduling system based on a cloud platform, and relates to the technical field of hotel service management, the intelligent scheduling system comprises a mobile client, a cloud server and a database system; and the mobile client is used for configuring a special mobile application program running on mobile equipment such as a smart phone or a tablet personal computer for hotel guest room service personnel. According to the intelligent hotel guest room service task scheduling system based on the cloud platform, service personnel can quickly respond to service requirements through real-time task pushing and mobile operation, the task waiting time is shortened, the moving speed of the service personnel is increased through positioning and navigation functions, the service response time is shortened, and the service efficiency is improved. Through detailed recording and picture and video uploading in the service process, service quality tracing and supervision are facilitated, weak links of the service process can be found and improved through data analysis, in addition, special requirements of guests are met through personalized service recommendation, and the satisfaction degree of the guests is improved.

A Global Navigation Satellite System (GNSS) receiver receives band-limited composite signals corresponding to respective satellites in the GNSS. The composite signal is composed of a direct path signal and a multipath signal. For chip edge hopping of a pseudo-random code, the receiver obtains correlation samples (I (t) samples and Q (t) samples) of the composite signal and compares them with predetermined filter characteristics (SR (t) samples) corresponding to a filter for band-limiting the composite signal. Based on the comparison, the receiver determines a phase and / or a response time error of the chip edge hopping due to the multipath signal. The receiver adjusts a pseudo-range measurement for the respective satellite and / or adjusts a carrier phase measurement for the respective satellite in accordance with the determined and / or adjusted pseudo-range measurement for the respective satellite. The receiver performs a navigation function using the adjusted pseudo-range and / or carrier phase measurements for the respective satellites.

The invention belongs to the technical field of equipment early warning, and particularly relates to a multi-source information fusion real-time monitoring and data analysis method and system, and the method comprises the steps: achieving the automatic recognition and data collection, remote assistance and support, and intelligent path planning and navigation functions in the inspection process of a chemical device, so as to standardize the inspection process; the inspection efficiency and the result accuracy are improved; establishing a chemical device image recognition model, collecting and preprocessing chemical device image data, performing model training by using a convolutional neural network deep learning model, and deploying the model to actual equipment; an abnormal feature extraction algorithm is developed, the operation state of the equipment is monitored in real time in combination with an intelligent early warning and processing system, early warning is quickly given out, and corresponding processing measures are taken; by adopting the anomaly detection and classification technology, an anomaly detection algorithm is realized, an efficient alarm information transmission mechanism and an intelligent alarm information processing system are developed, and an alarm information feedback and closed-loop management mechanism is established, so that the accuracy and timeliness of anomaly detection are improved.

The embodiments of the present disclosure relate to the field of intelligent warehousing. Provided are a path planning method, apparatus and system. The method comprises: a first device receiving an autonomous navigation area sent by a second device; determining whether an initial path is within the autonomous navigation area, the initial path being a path planned by the second device for the first device to execute a first movement task; and when the initial path is within the autonomous navigation area, enabling an autonomous navigation function and executing autonomous navigation, wherein the end position of the autonomous navigation is the destination of the first movement task.

The invention discloses an AR scene rapid deployment method based on a semantic map, and relates to the technical field of AR scene deployment, and the method comprises the steps: S1, semantic map construction: collecting three-dimensional point cloud data, color image data and depth information of a real scene through a laser radar and an RGB-D camera, inputting a deep semantic segmentation network to identify semantic categories of objects and areas in the scene; the scene is monitored and analyzed in real time through the deep semantic segmentation network, dynamic changes in the scene can be captured in time, the space labeling strategy is automatically adjusted according to the semantic understanding result, it is ensured that AR virtual information is always matched with the real environment, the accuracy of the functions such as AR navigation is ensured, and by recognizing semantic requirements of different AR applications, the real-time performance of the system is improved. According to the technical scheme, the annotation resources and key points are intelligently allocated according to the requirements, the adaptive space annotation scheme is generated, the pertinence and efficiency of AR scene deployment are remarkably improved, and the AR scene can quickly respond to the application requirements of different fields.

The invention discloses a handicapped friendly smart home system based on an AI large model, and the system comprises the following modules: a voice control module which is used for receiving and analyzing a voice instruction of a user through the voice recognition and natural language processing technology, and generating a corresponding control signal; the visual auxiliary module is used for collecting environment information through a camera and a sensor, performing object recognition, text reading and environment perception in combination with an AI large model, and providing real-time assistance for visually impaired people; the automatic task module is used for automatically executing control tasks, including light adjustment, temperature control, music playing and the like, of the household equipment according to the behavior mode of the user and a preset condition; the health monitoring module is used for collecting health data of a user through a sensor, performing data analysis in combination with an AI large model, and giving an alarm under an abnormal condition; and the barrier-free navigation module is used for providing an intelligent navigation function for the physically handicapped people through an AI technology and helping the physically handicapped people move freely at home.

The invention provides an intelligent hospital guide system and method based on AR vision and voice navigation. The intelligent hospital guide system comprises a user interaction layer, a technical support layer, a data and background layer, a third-party service layer and a hardware dependence layer. According to the intelligent hospital guide system based on AR vision and voice navigation, accurate navigation is achieved, a barrier-free road is guided, through the advanced AR vision navigation technology, the APP provides an accurate and errorless navigation path for a patient, the possibility of navigation errors is greatly reduced, virtuality and reality are seamlessly fused, and the intelligent hospital guide system based on AR vision and voice navigation has the advantages of being high in practicability and the like. The patient can walk on a familiar map in a hospital, and each step is full of confidence; the voice navigation function brings unprecedented convenience to the user, and especially for the visual impairment, the old or the users with inconvenience in hands, the service is as an intimate guide to lead the visual impairment, the old or the users with inconvenience in hands to easily shuttle to all corners of a hospital and enjoy barrier-free medical experience.

The invention relates to the technical field of medical auxiliary instruments, in particular to an arthroscopic surgery electromagnetic navigation robot which comprises an operating bed, a first robot and a second robot are arranged on one side of the operating bed, an electromagnetic generator assembly is installed on the operating bed, and a guide needle is detachably installed at the movable end of the first robot; an electromagnetic receiver is installed on the guide pin, and an ultrasonic imaging assembly is installed at the movable end of the second robot. According to the invention, the robot is used for replacing people for operation, and a part with a navigation function is arranged, so that the operation can be more accurately implemented and completed.

To provide: a time division control signal generation device that is used in a restriction cancellation device for a television viewing function of an in-vehicle display device that allows a vehicle navigation function and a television viewing function to be used simultaneously; and a television viewing restriction cancellation method using the same.SOLUTION: The time division control signal generation device of the present invention generates a time division control signal in which a preset television analog signal, which persists for a television signal time T1 during which a television signal can be received to allow television viewing, and a vehicle speed analog pulse signal, which persists for a navigation time T2 during which a navigation device can operate, are alternately repeated. The device calculates the current vehicle speed in real time, and, based on the calculated current vehicle speed, includes the number of pulses corresponding to the distance to be traveled within the sum of the television signal time T1 and the navigation time T2 that is for the nearest future from the time of generation.SELECTED DRAWING: Figure 2

The invention discloses an intelligent driving recognition system and method based on deep learning, and relates to the technical field of automatic driving and intelligent cockpit display, the system comprises a data acquisition and providing module, a neural network model module, a data post-processing and fusion module, a graphic rendering and control module and a display module, and RGB images and three-dimensional point clouds are acquired, so that the three-dimensional point clouds can be obtained; the method comprises the following steps: executing pixel-level semantic segmentation by using a hybrid neural network combined with a residual block, generating a drivable area and an obstacle mask, performing coordinate registration on point cloud by a system, screening and aggregating obstacle point cloud clusters by using a segmentation result, executing time sequence filtering processing on a road boundary based on an Euclidean distance, and generating stable boundary information. A graphics rendering module generates a geometric model accordingly. According to the invention, the problems of boundary jump identification and non-standard obstacle rendering distortion are solved, the display of driving, parking and navigation functions is realized, and the precision and interactive experience of intelligent driving perception are improved.

The present invention relates to a robot visual language navigation method suitable for real indoor environments, comprising the following steps: obtaining environmental information and panoramic images; constructing a two-dimensional grid map of the real indoor environment and converting the continuous indoor environment into a discrete map; generating path-command pair training samples and extracting image feature information from the panoramic images, and constructing a visual language navigation dataset for the real indoor environment based on the two; constructing a visual language navigation model that receives language commands and current environmental information commands and outputs the next action selection at the current moment; performing transfer training on the visual language navigation model using the visual language navigation dataset as training data; and implementing the deployment of the visual language navigation function on a robot based on the ROS system. Compared with existing technologies, the present invention has the advantages of being applicable to indoor environments, significantly improving the success rate of visual language navigation tasks for robots in indoor environments, accelerating network model training, and having strong applicability.

The present invention discloses a riding device with lighting and navigation functions. The key points of the technical solution are as follows: it includes a main body and a fixing device. The main body includes a navigation device and a lighting device which are cooperatively arranged. The navigation device includes a first housing, a navigation module, a first connecting part, and a display screen arranged at the opening of the first connecting part. The lighting device includes a second housing, a lighting module, a second connecting part, and a lamp shade. The first connecting part and the second connecting part are detachably and cooperatively arranged. The fixing device includes a housing frame, a cavity arranged on the housing frame, and a fixing strap that cooperates with the housing frame. The navigation device and the lighting device can be respectively embedded into the cavity for cooperative fixing. The purpose of the present invention is to provide a riding device with lighting and navigation functions, which can be conveniently installed and disassembled on the vehicle frame, and can store power with a rechargeable battery to ensure long-term navigation work.

This invention relates to the field of control methods for public transportation equipment, specifically to a control method for LED wall washer lights for driver fatigue wake-up in long tunnels. The method includes: calibrating driver fatigue-sensitive sections in each spatial unit of the entire tunnel and completing alignment; updating the vehicle's spatial unit and collected parameters in real time to classify the driver's real-time fatigue state; generating a fatigue wake-up light signal encoding parameter set for the vehicle corresponding to the current driving tracking ID, the current fatigue state, and the current spatial unit; and driving the wall washer lights to generate optical flow signals according to the set parameters. This invention constructs an optical flow signal framework deeply bound to the driving state, simultaneously achieving both fatigue wake-up and directional navigation functions. It also binds the driver's real-time fatigue state classification to a stepped stimulation level, ensuring that the optical flow signal only acts on the surrounding visual area corresponding to the tunnel sidewall, without interfering with the driver's observation. This spatial distribution eliminates the interference of dynamic lighting on normal driving observation.

The application relates to the technical field of high-speed intelligent management and control, in particular to an intelligent management and control system and method for highway occupation operation, wherein the intelligent management and control system comprises a layout calculation agent and a dynamic monitoring agent; the layout calculation agent can output field layout information and obtain an initial position p1 of safety facility arrangement; the layout calculation agent further comprises a route space information model and a temporary safety facility layout model; the intelligent management and control system for highway occupation operation combines the route space information model of the highway, uses a rule learning method to construct a layout rule library under different scenes, establishes a personalized temporary safety facility layout model for a specific road section, and according to basic information such as operation type and position, the layout calculation agent can automatically calculate the length of an operation control area, the type of temporary safety facility and the layout position; the online map positioning and navigation function can be used to realize rapid layout and inspection and patrol.

The invention discloses an emergency service method of a terminal device and a medium, and the method comprises the following steps: accessing a city emergency management system, and automatically switching the terminal to an emergency mode when detecting emergencies such as a fire hazard, an earthquake and the like; in the emergency mode, the terminal can receive real-time emergency information sent by the city emergency management system; when the terminal is in an emergency mode, a refuge route navigation function, a first-aid kit positioning function and a one-key alarm function are provided; according to the invention, by accessing a city emergency management system, the terminal can timely sense an emergent public event and automatically switch to an emergency mode, thereby providing a series of practical and key auxiliary decision-making functions for a user; in an emergency, real-time emergency information is pushed, so that a user can quickly know the basic information and the danger degree of an event, and the crisis can be better coped with; the refuge route navigation function can help the user to plan the safest evacuation route.

The invention discloses a vehicle navigation method and system based on a Cesium engine and Amap route planning, and relates to the field of geographic information systems and navigation. The problems that an existing navigation system is based on a two-dimensional map and lacks full display of terrains and landforms, a traditional navigation system gradually transforms to a 3D map, but lacks mature route planning and navigation functions and the like are solved. The method comprises the following steps: rendering and building a Gis map three-dimensional scene through a Cesium.js engine, and obtaining three-dimensional map data; obtaining vehicle incoming starting point and terminal point coordinates through Amap path planning, and obtaining returned route data; analyzing the longitude and latitude character strings in the coordinate field of the Amap path into a three-dimensional Cartesian coordinate (x, y, z) array of the engine; drawing a real-time positioning and dynamic route; marking the converted vehicle position on a three-dimensional map by using the engine, and updating the vehicle position by using an interpolation algorithm provided by the engine; and broadcasting the road book in real time.

The application belongs to the technical field of mobile robots, and relates to a mobile robot navigation method based on multi-modal fusion environment perception, which comprises the following steps: firstly, a two-dimensional laser radar arranged on a robot chassis is used to complete the pre-construction of a static global map of an environment; then, a depth image collected by a depth camera arranged on the robot chassis and an upper computer is subjected to denoising pretreatment, and after being converted into a three-dimensional point cloud, the depth image is subjected to operations such as cutting, down-sampling, filtering and obstacle segmentation, and the point cloud after the operation is converted into two-dimensional pseudo-laser radar data consistent with the data format of the laser radar; finally, a multi-layer cost map is constructed based on the laser radar perception data, the static global map and the two-dimensional pseudo-laser radar data, and then fused, and the existing navigation function package of ROS is used to complete the fused navigation. The application can effectively avoid various irregular three-dimensional obstacles, expand the application scene of the mobile robot, and has engineering application value and low-cost platform deployment practicability.

The embodiment of the application discloses a kind of inertial navigation method, device, vehicle and storage medium, the method is applied to vehicle, vehicle includes multiple domain controllers configured with inertial navigation function and multiple sensors for inertial navigation function, method includes: in the case where the inertial navigation function of any target domain controller in multiple domain controllers is opened, target configuration information of target sensor and target sensor data collected by target sensor are acquired, target configuration information is used to indicate the type of target sensor, and target sensor is at least two in multiple sensors;According to target configuration information and target sensor data, control target domain controller to execute inertial navigation function.The embodiment of the application does not need to configure multiple sensors for each domain controller, not only reduces the sensor redundancy of vehicle, reduces the cost of vehicle, but also improves the flexibility of hardware resource scheduling of inertial navigation function of vehicle.

A system for navigation store, in a time-based buffer, a first set of frames acquired by a sensor; stores, in a distance-based buffer, a second set of frames acquired by the sensor; performs moving object segmentation on the first set of frames and the second set of frames to identify at least one moving object in a scene of the frames; predicts a trajectory of the at least one moving object; and performs a navigation function based on the predicted trajectory.

The invention discloses a distributed unmanned aerial vehicle measurement and control service system and method, and belongs to the technical field of artificial intelligence. The system comprises N measurement and control sites deployed according to a deployment strategy, each measurement and control site provides a navigation function for an unmanned aerial vehicle entering an airspace of the measurement and control site according to the state of the position of an obstacle in the airspace controlled by the measurement and control site, and the unmanned aerial vehicle flies according to the navigation function; navigation functions provided by the unmanned aerial vehicle from the starting position to the destination position along the measurement and control stations are continuous. According to the invention, the layout of the measurement and control sites is reasonable, so that the total deployment state value function of the set number of measurement and control sites is the highest.

The photovoltaic cleaning robot comprises a chassis device, a cleaning device and an adsorption assembly, the chassis device comprises a chassis, a driving assembly, a spraying assembly, an electrical control module, a detection module and a camera shooting module, the detection module is used for detecting whether the periphery of the chassis is located at the edge of a photovoltaic panel or not, and the camera shooting module assists the robot in keeping straight running; the adsorption assembly is used for adsorbing dust on the photovoltaic panel; the cleaning device comprises two pairs of connecting assemblies, a pair of cleaning assemblies and a pair of spraying assemblies, each cleaning assembly comprises a cleaning frame, a driving piece, a rolling brush and a second positioning piece, and the middle portions and the inner ends of the two pairs of connecting assemblies are detachably installed at the front end and the rear end of the chassis correspondingly. The detection module prevents the photovoltaic cleaning robot from falling off a photovoltaic panel, and the camera module provides a navigation function; the spraying assembly sprays clean water to the rolling brush, and the dust raising phenomenon in the cleaning process is reduced; the cleaning assembly and the chassis are quickly assembled and disassembled through the connecting assembly, and assembling and maintaining are convenient.

Provided in the embodiments of the present application are a map quality evaluation method and apparatus, and a device and a storage medium. The method comprises: acquiring a map on the basis of perception information collected by means of a perception device; and on the basis of the occurrence of a score deduction scenario in the map, determining a score of the map, wherein the score of the map is used for representing the quality of the map, and the occurrence of the score deduction scenario is inversely proportional to the quality of the map. In the embodiments of the present application, after studying and obtaining a map, a memory navigation system performs quality evaluation on the map, obtains the score of the map by means of the quality evaluation, and displays the score of the map to a driver, such that the driver can determine, by means of the score of the map, whether to use the map, thereby ensuring that each map used by the memory navigation system is a map of a relatively high quality, ensuring the use effect of a memory navigation function, and improving the user experience.

This application provides a method and apparatus for adjusting a vehicle's memory-based navigation speed. The method includes: in response to activating the memory-based navigation function, identifying the road type and number of lanes where the vehicle is located, and determining the road environment speed limit based on the road type, number of lanes, and memory-based speed data; in response to the vehicle reaching a continuous intersection section, determining the continuous intersection speed limit based on the vehicle's constant speed driving time and acceleration / deceleration time, as well as the continuous intersection speed limit range; in response to collecting speed limit sign information and / or electronic eye speed limit information, determining the speed limit sign speed limit and / or electronic eye speed limit; and determining a target cruise speed based on at least two of the following: the road environment speed limit, the continuous intersection speed limit, and the speed limit sign speed limit and / or electronic eye speed limit. Through this method, the system continuously adapts to changes in user driving habits and road conditions, improving user acceptance, stickiness, and satisfaction with the memory-based navigation function.

1. Name of the product in this design: Graphical User Interface for Displaying Homepage Navigation Function on Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are the content displayed in the graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The design for which protection is sought includes color. 6. The carrier uses a conventional design, omitting the rear view, top view, bottom view, left view, and right view. 7. Purpose of the graphical user interface: The graphical user interface is used for the homepage navigation of Wind Financial Terminal. The page supports users to switch between multiple access methods and displays popular market data, popular functions or conference recommendations, meeting users' needs to quickly find the functions they need and understand market conditions in real time. In the main view, click the "Macro" button in the top menu bar to enter the interface change status diagram, which displays the current business function list in a tiled manner. The functions marked "HOT" are popular functions, and the right side displays recommended popular functions. 8. Other situations requiring explanation: The portrait at the top of the graphical user interface is the image of the software's virtual assistant and is not a real person's portrait or a variable content screen.

The present application provides a navigation route sharing method and system based on blockchain geographic information, including: obtaining the roadblock location and roadblock image of the rider who first encounters the roadblock through the distribution end and uploading it to the blockchain; reviewing the roadblock image through a smart contract, and the navigation function of the distribution end synchronizing the roadblock information to nearby riders; the distribution end using the navigation function to re-plan routes for the nearby riders; the distribution platform provides rewards or delayed delivery fee reductions and exemptions to the first publisher through the merchant end; the merchant end determines whether to give rewards or delayed delivery fee reductions and adjustments to subsequent publishers based on the authenticity, timeliness and release time interval of the subsequently released roadblock information; the merchant end can establish a regional roadblock delay time prediction model based on data accumulation. The present invention can realize the sharing of roadblock information in the delivery business, issue rewards to information providers, and provide delayed delivery fee reduction and adjustment opportunities for riders who are delayed due to roadblocks.

The application provides a kind of offshore buoy in-situ cleaning device, cleaning ship and cleaning method, belongs to the technical field of navigation mark cleaning, for solving the problem that the surface of buoy will gather bird droppings and other dirt, affecting the navigation function of buoy. Among them, the cleaning device covers and cleans the buoy from top to bottom, including connecting base, cleaning barrel and tightening rope; the cleaning barrel is rotatably connected to the lower side of the connecting base and can be driven to rotate by the driving mechanism; the cleaning barrel has no barrel bottom, the barrel shell is provided with first reinforcing structure and second reinforcing structure along the generatrix and circumferential direction respectively, the inner side of the barrel shell is provided with first cleaning structure, the bottom of the barrel shell is rotatably connected with barrel bottom ring, the barrel bottom ring includes two layers of barrel bottom ring shell and elastic membrane, and the elastic membrane is located on the inner side; the tightening rope is arranged in the interlayer between the barrel bottom ring shell and the elastic membrane, after the cleaning barrel covers the buoy, the tightening rope is tightened, and the elastic membrane is tied around the outer periphery of the buoy. The device combined with the matching method has superior cleaning effect and significant environmental protection significance.

A navigation system, medical system, method of use, and medium for use in navigating a bendable medical device are provided. The system and method include a display device and a control device. The control device is configured to display, on the display device, an image of a biological lumen taken from a distal end of the bendable medical device and a representation of an airway structure. The representation of the airway structure includes a navigation path through at least a portion of the airway and a guidance reference surface disposed perpendicular to the navigation path and located at an insertion depth of the distal end of the bendable medical device.