132 results about "Navigation assistance" patented technology

Systems and methods are provided for providing package delivery assistance. The systems and methods detect, by a wearable device, an identifier associated with a package and retrieve package delivery information from a package delivery device using the identifier of the package. The systems and methods display, by the wearable device, a portion of the package delivery information and generate, by the wearable device, visual navigational assistance to guide a courier to a delivery location associated with the package.

The invention provides a blind person voice navigation auxiliary method with a built-in offline AI intelligent model, and relates to the technical field of computer processing, and the blind person voice navigation auxiliary method comprises the following steps: S01, collecting environment image data in real time through an infrared-visible light binocular camera, synchronously obtaining six-degree-of-freedom motion attitude data of an inertial measurement unit, the binocular infrared-visible light binocular camera comprises a thermal imaging sensing channel; s02, inputting the environment image data into a pre-trained multi-task neural network model, and generating a three-dimensional semantic map containing a blind sidewalk topological structure and a dynamic obstacle detection result; and S03, based on a deep reinforcement learning algorithm, carrying out space-time clustering analysis on the historical paths of the user, and constructing a personalized habit route database fused with human body turning inertia. The sensing precision, the path planning humanization, the positioning accuracy and the extreme weather adaptability of the navigation system in a complex environment are remarkably improved, and safe navigation of the blind is guaranteed.

The invention relates to the technical field of blind guiding robot interactive navigation, and particularly discloses a blind guiding robot interactive navigation system combining vision, inertial navigation and voice, which is characterized in that environmental vision, movement and voice data are synchronously acquired through a multi-modal perception data acquisition module, and are analyzed through a situation-user joint state feature extraction module; a user potential intention deduction module is combined to predict a user intention and generate a self-adaptive guide strategy; a self-adaptive guiding path optimization module adjusts a navigation path according to a strategy to ensure safety and high efficiency; finally, the situational multi-mode interaction instruction output module provides voice and tactile feedback, and interaction experience and navigation autonomy are enhanced. According to the method, the travel problem of the visually impaired person in a complex environment is solved, the individuation, context perception capability and safety of blind guiding are improved, and more natural and efficient navigation assistance is brought to the visually impaired person.

The invention relates to the technical field of navigation control, in particular to an obstacle light-based unmanned aerial vehicle navigation auxiliary system, which comprises the following steps of: combining an image sequence with inertia time information, segmenting a light source area and extracting a frequency label, so that the stable identification capability on an optical signal is enhanced; the signal state and the time index can be accurately judged especially in a complex shielding environment, the robustness of obstacle light recognition in multiple angles and multiple scales is improved through direction vector extraction and a comparison mechanism of a graph neural network, an edge weight matrix is established in combination with light intensity calculation and shielding state elimination, and the robustness of obstacle light recognition in multiple angles and multiple scales is improved. The method effectively enhances the understanding of the spatial layout of the obstruction lights and the navigability of the graph model, extracts the vector group through the graph model, eliminates the shielding, and compares the path instruction selection logic of the action score, so that the path planning process has stronger dynamic adaptability and error tolerance, and enhances the navigation accuracy and flight safety in the complex airspace.

The invention relates to the technical field of navigation assistance, in particular to a dynamic obstacle prediction and obstacle avoidance path planning method based on multi-sensor fusion, which realizes omnibearing perception of a dynamic obstacle through multiple sensors, provides a rich and reliable data basis for subsequent processing, and improves the accuracy of the dynamic obstacle prediction and obstacle avoidance path planning. Meanwhile, motion prediction is carried out on a dynamic obstacle through data processing fusion and model prediction, the motion inertia of the obstacle is fully considered, track prediction of the obstacle is closer to a real physical rule, a global path search problem is converted into a local but large enough space search problem through a mode of delimiting a final obstacle avoidance target area, and the search efficiency is improved. According to the method, the number of grids needing to be processed and the search calculation amount are remarkably reduced, the harsh requirement of the mobile device for the real-time performance is met, the area possibly occupied by the obstacle in the future is avoided in real time in the mode of constructing the cost function, then the obstacle avoidance planning path is generated, and the path safety is improved.

The invention provides a blind person navigation assisting method, device and equipment based on AI glasses and a storage medium. The method comprises the following steps: constructing a navigation path between a current position of a user and a destination; according to the image data and the sensing data, determining environment information in a preset range of the navigation path and a real-time pose of the user; generating navigation guidance information according to the environment information and the real-time pose of the user; and converting the navigation guidance information into a spatial audio signal, and carrying out traveling navigation based on spatial audio prompt on the user through the spatial audio signal. According to the method, the navigation guidance information related to the real-time pose of the user is generated by integrating the visual sensing data of the AI glasses, the pose information of the inertial sensor and the navigation path information, and the navigation guidance information is converted into the spatial audio signal for navigation; when the user is separated from the navigation path, the user can be guided to accurately judge the advancing direction through spatial audio prompt, and the appearance safety of the user is improved.

A navigation assistance system using a plurality of sensors according to an aspect of the present disclosure includes a display configured to provide a monitoring image, a sensor unit including at least one sensor, a memory in which at least one program is stored, and at least one processor configured to execute the at least one program, wherein the at least one processor obtains image frame information of an object using a first sensor, calculates information about the object using a second sensor, calculates a risk of collision between a host ship and the object by fusing the image frame information of the object and the information about the object, and determines an avoidance path based on the calculated collision risk.

The invention relates to the technical field of medical data processing, and discloses a puncture navigation auxiliary system for tumor intervention, which is characterized in that a three-dimensional navigation puncture path is generated based on preoperative multi-modal medical image data, and dynamic compensation is carried out on organ elastic deformation in an operation; a puncture time window is predicted through the breathing phase monitoring module, and a control signal is sent to an external puncture operation device through the external execution equipment interface; displaying a navigation puncture path and a risk area in combination with an intraoperative real-time image and a holographic projection interface, and adjusting puncture parameters through gesture interaction; the puncture path, resistance and impedance data in the puncture process are recorded, and a postoperative curative effect scheme is generated. According to the method, the accuracy of puncture is improved, the risk of injury to surrounding tissues is reduced, and meanwhile, the real-time feedback capability of an operation is also enhanced.

The invention relates to the technical field of visual impaired people assistance, in particular to a self-adaptive perception prompting system and method for visual impaired people assistance, and the method comprises the following steps: obtaining environment data around a user; the target information is recognized and transmitted to the user through the wearable somatosensory feedback module in a skin stimulation mode, so that the user can perceive surrounding objects and directions thereof through skin stimulation, and then obstacle avoidance can be achieved. Furthermore, an active exploration self-adaptive auxiliary module is introduced, an action track of a user is collected and analyzed to be compared with an environment model, an omission area or space deviation in perception is recognized, and a reinforcing prompt is triggered, so that the user is guided to complete more comprehensive environment exploration and space construction. Limitations of a traditional blind guiding stick and a traditional blind guiding dog are avoided, and higher-precision space perception and navigation assistance can be obtained only by wearing the somatosensory feedback module.

The invention discloses a panoramic image acquisition system, relates to the technical field of panoramic image acquisition, and solves the problems that splicing dislocation or image blurring is likely to occur during panoramic image acquisition when illumination changes drastically or interference is caused by a moving object, and equipment is large in size and difficult to adapt to an unmanned aerial vehicle for use due to the fact that a multi-camera layout is generally adopted. The invention relates to a panoramic image acquisition system, which comprises an unmanned aerial vehicle module, an inertial navigation auxiliary module, a multispectral image acquisition module, an adjusting structure, an edge calculation module, a self-adaptive transmission module and a distributed power supply management module, and two multispectral image acquisition modules are arranged in the inertial navigation auxiliary module. According to the invention, through the cooperation of the multispectral image acquisition module and the edge calculation module and through the infrared sensor and the dynamic mask technology, high-robustness image splicing is realized, the interference of a moving object is effectively inhibited, and the splicing accuracy is improved.

The invention discloses a ship air sail navigation aiding energy efficiency dynamic optimization method and system and a ship, and relates to the technical field of ship energy conservation. Dynamic parameters in the ship navigation process are collected in real time; establishing a dynamic coupling model; the coupling model is utilized to quantify the dynamic interference of the hull attitude parameters on the air sail state parameters into attack angle offset; a reinforcement learning algorithm is adopted to simulate the attack angle offset, and the optimal attack angle of the air sail is obtained; according to the optimal attack angle and the environmental parameters, target adjustment parameters of the air sail are calculated; and driving the air sail to adjust the sail body rotation angle and the sail surface inclination angle in real time according to the target adjustment parameters. According to the method, the air sails always work in the efficient interval with the maximum lift coefficient and the minimum resistance coefficient, the pneumatic interference model is introduced, the total auxiliary thrust of the multiple sails is improved, the problem that the energy-saving effect is reduced due to dynamic deviation of the attack angle is effectively solved, and the situation that the fuel consumption of a main engine is reduced is stably achieved.

The invention provides a visual channel data optimization method and system based on an augmented reality technology, and relates to the technical field of surgical navigation assistance. The method comprises the following steps: acquiring data, evaluating the real-time performance, taking primary intervention and early warning measures, and taking secondary intervention and early warning measures. According to the method, the first real-time interference evaluation coefficient and the second real-time interference evaluation coefficient are obtained based on the image basic data, the intraoperative imaging delay data and the intraoperative imaging interference data, and whether primary intervention and early warning measures are taken or not is judged by combining the first threshold value and the second threshold value; meanwhile, whether secondary intervention and early warning measures are taken or not is judged based on the intraoperative imaging real-time interference evaluation coefficient obtained based on the first real-time interference evaluation coefficient and the second real-time interference evaluation coefficient, and the effect of improving the real-time performance of data dependent on surgical navigation is achieved; the problem that in the prior art, data which surgical navigation depends on is low in real-time performance is solved.

The invention discloses a complex environment recognition and intelligent interaction system for blind person navigation, and aims to provide safer and humanized travel assistance for blind persons or visually impaired persons. Based on a travel route planned by map software, a YOLOv8 target detection algorithm added with a CBAM attention mechanism is combined with a visual large model to carry out complex scene recognition, and a recognition result is transmitted to the large language model. And the large language model generates an active warning text or answers questions of the user according to the recognition result, and feeds back the questions to the user in a voice form to realize intelligent interaction. Meanwhile, on the basis of the average step length calculated by the monocular vision technology and the self-correlation analysis algorithm, the broadcasting unit is converted from'meter 'to'step', and the humanization of voice broadcasting is improved. According to the invention, front and back end information transmission is combined, and complex environment identification, voice interaction and humanized guidance technologies are introduced, so that the safety, interactivity and user experience of blind person navigation assistance are remarkably improved.

1. The name of this design product: Intelligent driving navigation assistance prompt graphical user interface for electronic equipment. 2. Purpose of this design product: To perform algorithmic analysis on lane deviation, front collision, pedestrian collision, etc., and to provide corresponding warnings through visual representation. 3. The key design point of this design product lies in the interface content of the graphical user interface on the screen. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: This graphical user interface is used to display prompt information during autonomous navigation assisted driving; after the vehicle turns on the autonomous navigation driving function, it performs algorithmic analysis on lane deviation, front collision, pedestrian collision, etc., and makes corresponding warnings: The main view of Design 1 is the front collision warning interface; when the vehicle system detects that the distance to the adjacent vehicle or pedestrian is too close, it makes a collision avoidance warning, and the interface is shown in the main view of Design 2; when the vehicle system detects that the vehicle is changing lanes without crossing the line, the interface is shown in the main view of Design 3; when the vehicle system detects that the lane cannot be changed on the road section being traveled, the interface is shown in the main view of Design 4; when the vehicle system detects that the vehicle deviates from the lane, the interface is shown in the main view of Design 5; when the vehicle system detects that the vehicle remains in the lane, the interface is shown in the main view of Design 6.

The application discloses a kind of tunnel construction dynamic measurement methods based on inertial navigation auxiliary, comprising: obtaining tunnel construction priori information and stage division parameter;With the measuring equipment of loaded inertial measurement unit, laser radar and odometer, it is installed on construction machinery, travels along tunnel axis, and real-time collection multi-source data;Based on point cloud feature density, the stage where it is located is automatically identified, and corresponding multi-level adaptive constraint model is dynamically switched, including adaptive nonholonomic kinematics constraint, environmental feature constraint based on point cloud data and design section, and absolute correction constraint based on template matching automatically identifying natural existing reserved reference point in tunnel;Extended Kalman filter is constructed to fuse multi-level constraint and dynamically adjust weight;Through loop detection and graph optimization, cumulative error is eliminated and control network is updated.The application realizes adaptive high-precision dynamic measurement of whole process of tunnel construction, does not need artificial layout beacon, effectively solves the problem of unstable positioning accuracy in complex environment.

A method for providing navigation assistance in a three-dimensional (3D) virtual environment includes a plurality of virtual characters corresponding to a plurality of users, wherein the plurality of virtual characters communicates with each other in the 3D virtual environment and a plurality of virtual cameras corresponding to the plurality of virtual characters. Further, the given virtual camera being movable according to a movement of the corresponding virtual character. Further, providing at least one predefined navigation path in the 3D virtual environment for directing the plurality of virtual characters to move towards at least one virtual area in the 3D virtual environment. Furthermore, providing an indication of scene details in the at least one virtual area. Moreover, capturing a plurality of video streams using the plurality of virtual cameras and sending the plurality of video streams to the plurality of user devices for display thereat.

The invention relates to the technical field of ship manufacturing, in particular to a ship sailing power assisting device which comprises a power assembly, a driving assembly, a power transmission assembly and a driving assembly. The power assembly comprises a base, a cavity formed in the inner wall of the base and a rotary drum installed at the end of the cavity; the power assisting assembly comprises a sleeve installed on the outer wall of the rotary drum, a power assisting piece arranged on the outer wall of the sleeve and a pushing piece installed in the sleeve; in the low-wind-speed environment, the power assisting part can be unfolded on the outer wall of the sleeve under the action of the pushing part, the fan blades on the power assisting part capture wind energy through the inner arc face and drive the rotary drum to rotate, energy consumed by rotation of the rotary drum is reduced, a generator is driven to generate electricity, power is supplied to a ship electric power system, and the load of a main engine is reduced; the power assisting part can be folded inwards under the action of wind power and tightly attached to the outer wall of the sleeve again, direct acting force of wind on the power assisting part during unfolding when the wind speed is too high is avoided, the risk that a ship inclines due to uneven stress is reduced, and sailing safety of the ship in the high-wind-speed environment is guaranteed.

1. The name of the design product: the graphical user interface of an electronic device for displaying driving information. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface. 4. The picture or photo that best shows the design points: front view. 5. The appearance design contains colors. 6. The use of the graphical user interface: for displaying driving scenarios. 7. The human-computer interaction mode of the graphical user interface: in the case of the vehicle being in the parking state, the interface of the front view displays parking information, current power information and mileage related information. In the case of the vehicle being in the parking state and charging, enter the interface change state diagram 1; the interface change state diagram displays the vehicle's range and charging information. In the case of the vehicle stopping charging and entering the driving state, enter the interface change state diagram 2; the interface change state diagram 2 displays the vehicle's current driving mode, driving speed, navigation information, mileage related information and current power information. In the case of the vehicle activating the intelligent navigation assistance function, enter the interface change state diagram 3; the interface change state diagram 3 displays the visual effect of the intelligent navigation assistance function being activated, the road surface special effect of the vehicle being in the intelligent navigation assistance state, the vehicle's current driving mode, driving speed, current power information and tire pressure information of the vehicle's tire. In the case of the vehicle being in the intelligent navigation assistance state and adjusting the following distance, enter the interface change state diagram 4; the interface change state diagram 4 displays the vehicle's current driving mode, driving speed, mileage related information, current power information and following distance adjustment gear information.

The present disclosure relates to a surgical navigation system (1) for guiding in surgery on a patient (P) by means of a surgical map (L), having: a first detection mode (2) adapted to detect at least one predefined region of tissue of the patient (P) as a first shot (8) with shot position data; a second detection mode (10) different from the first detection mode, the second detection mode being adapted to detect a predefined region of the tissue of the patient (P) as a second shot (16) with shot position data; a storage unit (18) in which a two-dimensional or three-dimensional surgical map (L) with respect to the patient (P) is stored, a first digital lesion value and a second digital function value of the tissue being stored for each position of the surgical map (L); a control unit (20) which is adapted to analyze and determine the first image (8) for the first detection mode (2) in such a way that at least one partial region of the tissue of the first image (8) is assigned a lesion value and / or a function value and is supplemented with the lesion value or the function value in an associated position of the surgical map (L); for the second detection mode (10), the second image is evaluated and determined in such a way that at least one partial region of the tissue of the second image is assigned a lesion value and / or a function value and the lesion value or the function value is supplemented in an associated position of the surgical map (L); and visualizing a view of the output surgical map (L) by means of the presentation device (22) for navigation assistance. The present disclosure also relates to a navigation method according to the parallel claims as well as a computer-readable storage medium and a computer program.

This invention relates to the field of navigation assistance technology, and in particular to a dynamic obstacle prediction and obstacle avoidance path planning method based on multi-sensor fusion. This invention achieves comprehensive perception of dynamic obstacles through multiple sensors, providing a rich and reliable data foundation for subsequent processing. At the same time, it predicts the motion of dynamic obstacles through data processing fusion and model prediction, fully considering the motion inertia of obstacles to make their trajectory prediction closer to real physical laws. Furthermore, by "delineating the final obstacle avoidance target area", the global path search problem is transformed into a local but sufficiently large spatial search problem, significantly reducing the number of grids to be processed and the amount of search computation, meeting the stringent real-time requirements of mobile devices. Moreover, by constructing a cost function, it avoids areas that obstacles may occupy in the future in real time, thereby generating an obstacle avoidance planning path, which helps to improve path safety.

Roughly described, a viewer application is provided for viewing a PDF document on a screen of a device such as a mobile phone or tablet. The viewer application may operate in page mode or in text mode. In page mode the original layout is maintained, and navigation assistance is provided by use of a navigation pane indicating the contents of the screen with a superimposed frame. Display of the navigation pane is controllable by the user. In page mode a selected text column is scrolled and zoomed to optimize reading. In text mode, text is extracted from the document and reformatted in text view to be continuous and complete in correct reading order, and images and advertising may be excluded. The user may toggle between page mode and text mode. The viewer application is implemented in software to by executed by a processor on the device.

The invention relates to a parking space-to-parking space pilot auxiliary control method and system and a vehicle. The method comprises the following steps: receiving a navigation request from a starting parking space to a target parking space; obtaining a parking lot high-precision map, a real-time parking space state and dynamic traffic information based on the navigation request, and planning a global path from the starting parking space to a target parking space according to the parking lot high-precision map, the real-time parking space state and the dynamic traffic information; positioning a vehicle and acquiring real-time environment information, and planning a local path according to the positioning result and the real-time environment information on the basis of the global path; generating a vehicle control instruction according to the local path and the real-time environment information; and the vehicle control instruction is executed until the vehicle arrives at the target parking space and parking operation is completed. According to the invention, navigation assistance from the starting parking space to the target parking space is realized.

The invention belongs to the technical field of blind person assistance, and provides a blind person navigation assisting device which comprises a shell, a first rotating shaft is rotationally installed in the shell, the two ends of the first rotating shaft extend out of the two sides of the shell and are provided with wheels, and one side wall of the shell is open; the rotating power source is fixedly arranged in the shell, and an output shaft of the rotating power source is in power connection with the first rotating shaft; the stair climbing assembly comprises sliding blocks, a second rotating shaft is rotationally installed between the two sliding blocks, a rotating frame is fixedly arranged on the peripheral outer wall of the second rotating shaft, and when the sliding blocks slide into the shell, the second rotating shaft is in power connection with an output shaft of the rotating power source; and the navigation equipment mounting rack is fixedly arranged on the top surface of the shell. The navigation equipment is installed on the shell, a user makes contact with the shell and moves forwards, the shell transmits vibration of the road condition to a user receiving hand in real time, the road condition is better detected in combination with the navigation equipment, and the safety sense of the user is higher; the rotating frame has a step climbing function and is suitable for different road conditions.

The invention discloses a multi-communication integrated ship-shore cloud collaborative ship navigation auxiliary system and an information data interaction method. The system comprises a shore cloud system and a ship-end navigation aid system. The ships can communicate with each other through four communication modes of the ship end navigation aid system; the shore cloud system and the ship-end navigation aid system realize ship-shore communication through mobile internet communication or Tiantong satellite communication; the shore cloud system automatically pushes sailing safety auxiliary prompts such as ship crossing a bridge area and ship deviating from a port entering and leaving channel to the ship end navigation aid system through mobile internet communication. According to the invention, an information collaboration method between ships and between ships and shore cloud is realized, and emergency information, marine navigation safety information and hydro meteorological information can be directly communicated; sailing safety auxiliary reminding such as ship crossing a bridge area and ship deviating from a port entering and exiting channel is carried out; the system method can be applied to an intelligent port and navigation informatization supervision system and a ship fleet safety operation system.

The invention provides a propulsion device control system and a navigation assistance device. The host control system is provided with a navigation assistance device and a remote control device. A navigation assistance device is provided with: a first input unit that receives a command value for a propulsion parameter; and a calculation unit that calculates a command value for causing the current value of the propulsion parameter to follow the input command value. The remote control device is provided with: a second input unit that receives a command value for the rotational speed of the host; an output unit that outputs the command value calculated by the calculation unit in the sailing assistance mode and outputs the command value received by the second input unit in the normal sailing mode; and a control unit that controls the host. A host control system is provided with: an abnormality detection unit that detects an abnormality; and a holding unit that holds the command value output by the output unit when an abnormality is detected in the navigation assistance mode setting.

A navigation aid method comprising a prediction of the position of an agent, said prediction comprising: acquisition of a set of measurements (20) related to the movement of said agent; determination of said position by calibration of an extended Kalman filter applied to said set of measurements (20), said calibration comprising a quantification of a divergence from a current distribution of uncertainties associated with the measurements. Figure for the abstract: Fig. 1

The invention relates to the technical field of ships, in particular to a U-shaped sail for ship navigation assistance. Comprising the steps that the sail type is of a left-right symmetrical U-shaped structure, and the new sail type designs sectional upper and lower edge curve piecewise function expressions, rounding connection parameters, the maximum thickness and position, material selection and machining process precision of a section, so that the sail type has better lift-drag characteristics and higher structural stability; and meanwhile, the device has the capacity of being adaptive to different ship types and complex marine environments, and can meet the use requirements of reducing fuel consumption of ships and enhancing the greenhouse gas emission reduction effect. The energy-saving efficiency of the sail can be improved, and the sail is a new-generation sail type with good aerodynamic performance.

The application discloses a complex environment recognition and intelligent interaction system for blind navigation, aiming to provide a safer and more personalized travel assistance for the blind or visually impaired. Based on the travel route planned by the map software, the YOLOv8 target detection algorithm with added CBAM attention mechanism is combined with the visual large model to recognize the complex scene, and the recognition result is transmitted to the large language model. The large language model generates active warning text or answers user questions according to the recognition result, and feeds back to the user in the form of voice, realizing intelligent interaction. At the same time, relying on the average step length calculated by the monocular vision technology and the autocorrelation analysis algorithm, the broadcast unit is converted from "meters" to "steps", improving the personalization of voice broadcast. The application combines front-end and back-end information transmission, introduces complex environment recognition, voice interaction and personalized guidance technology, and significantly improves the safety, interactivity and user experience of blind navigation assistance.

The present disclosure relates to a technique for providing navigation assistance to both the driver as well as other vehicle occupants of the vehicle. The technique recites acquiring a placement information for a plurality of light sources and haptic sensors inside the vehicle such as to attract the attention of the driver only in the peripheral vision, without any requirement to take the eyes off the road. It also discloses a navigation unit and an ambient light sensing module configured to provide navigation information and the ambient light information respectively to the control unit. The control unit in turn processes this received information and control the functioning of both the light sources as well as the haptic sensors in order to update the driver and passengers about the upcoming navigation events.

The present invention is a blind voice navigation assistance method with a built-in offline AI intelligent model, which relates to the technical field of computer processing and includes the following steps: S01. Real-time collect environmental image data through an infrared-visible light binocular camera, and simultaneously obtain six-degree-of-freedom motion attitude data of an inertial measurement unit. The infrared-visible light binocular camera includes a thermal imaging sensing channel; S02. Input the environmental image data into a pre-trained multi-task neural network model to generate a three-dimensional semantic map containing the topological structure of the blind path and a dynamic obstacle detection result; S03. Based on a deep reinforcement learning algorithm, perform spatio-temporal clustering analysis on the user's historical path to construct a personalized habit route database that integrates human body turning inertia. This invention significantly improves the perception accuracy, path planning humanization, positioning accuracy, and extreme weather adaptability of the navigation system, and ensures the safe navigation of the blind.