84results about How to "Implement navigation" patented technology

The invention relates to a device and method for composition based on a small quad-rotor unmanned aerial vehicle and belongs to the technical field of mobile robot positioning and navigation. The small quad-rotor unmanned aerial vehicle can rapidly enter a complex environment which a mobile robot cannot enter, carried laser radar is utilized to construct a two-dimensional map in real time according to an SLAM method, self localization and navigation of the unmanned aerial vehicle can be achieved by combining an IMU device and the like, and efficient exploration of a true complex area is achieved; the height of the small quad-rotor unmanned aerial vehicle can be conveniently adjusted to obtain two-dimensional maps on horizontal planes of different heights; the small quad-rotor unmanned aerial vehicle is rapid in movement speed and more flexible, movement and mapping of the small quad-rotor unmanned aerial vehicle are not subject to disturbance of obstacles on the ground, the range limitation of a detecting robot is broken through, the small quad-rotor unmanned aerial vehicle is extremely high in practical value, and accurate and rapid map construction can be achieved; compared with robot environment composition, the rotor wing robot can perform environment scouting more rapidly and more flexibly, and three-dimensional spatial images can be obtained.

The invention discloses a method of mobile phone navigation in a library and a system of the mobile phone navigation in the library, mainly aiming at solving the problem that a reader is time-wasting for searching books in the library and is easy to be lost. The method for searching the books in a navigation way comprises the steps of: computing information of a target object and information in a data base in a comparing way to confirm a target position, and computing information of a reference object and information in the data base in a comparing way to confirm a reader position; and planning an optimum book reaching route according to the information of the target position and the information of the reader position, and giving a book searching route prompt from the current position of the reader to the position of a series of target books, so that the navigation is realized. The book searching navigation system mainly comprises a bar code (including a one-dimension code and a two-dimension code), a smartphone, a database, a server and the like.

The invention discloses a multi-behavior combining auto-navigation method for a mobile robot in an unknown environment. The method is characterized in that the method comprises the following steps that (1) current azimuth angle is obtained in real time according to the relative positions of an object and the mobile robot, and a plurality of distance parameters are obtained in real time according to the status of obstacles around the mobile robot; (2) a multi-output support vector machine fuzzy controller outputs a corner value Theta i and a velocity value vi according to the obtained azimuth angle and distance parameters, wherein i is equal to 1, 2 or 3; (3) a multi-output support vector machine environmental-identification controller inputs signals and outputs weight parameters wi of three subbehaviors according to input signals of the azimuth angle and the distance parameters, wherein i is equal to 1, 2 or 3; and (4) current corner value Theta i and velocity value vi of the mobile robot used for navigation are calculated according to the formula. The multi-behavior combining auto-navigation method adopts intelligent control strategy, and has the advantages of strong self adaptation, high navigation reliability and excellent effect.

The invention discloses a multimodal fusion based indoor self-positioning method. The method includes the following steps of (1) user track deduction and (2) user track calibration. The invention further discloses a multimodal fusion based indoor self-positioning device. The multimodal fusion based indoor self-positioning method and device has the advantages that on the basis of geomagnetism track matching and indoor feature points, track deduction results are calibrated, accumulated errors are eliminated, and indoor self-positioning precision is improved effectively. Therefore, accurate positioning and navigation of users can be realized under the condition of no dependence on external environment deployment and no need of preliminary training or in case of emergency.

The invention relates to the technical field of geographic location navigation, and discloses a method for realizing three-dimensional navigation. The method comprises the following steps: partitioning a three dimensional scene in a three-dimensional electronic map, and saving the partitioning result; establishing a resource partition table which includes three-dimensional scene model characteristic information and is used for saving the partition of each three-dimensional scene; determining the current position coordinates of a camera by utilizing a global positioning system; searching the partitioning result according to the current position coordinates, determining the partition of the three-dimensional scene of the current position coordinates of the camera, and searching the resourcepartition table to acquire the characteristic information of the three-dimensional scene included in the partition of the three-dimensional scene; and loading a predefined three-dimensional scene model according to the acquired characteristic information of the three-dimensional scene model, and rendering the three-dimensional scene. The invention also discloses a device for realizing three-dimensional navigation. By the technical scheme in the invention, three-dimensional scene navigation can be realized by a small memory space, and the scene switching speed is higher.

The invention discloses an optical coherence tomography based microsurgical operation system and a navigation method. The microsurgical operation system comprises an objective lens, an operation microscope unit, an optical coherence tomography unit, a processor and an output unit. The operation microscope unit is configured to perform two-dimensional imaging in an operative region via the objective lens. The optical coherence tomography unit is configured to perform two-dimensional tomography imaging in the operative region via the objective lens, and an imaging view of the optical coherence tomography unit is calibrated according to an imaging view of the operation microscope unit. The processor is configured to acquire navigation information on the basis of a two-dimensional imaging result of the operation microscope unit and a two-dimensional tomography imaging result of the optical coherence tomography unit, and the navigation information includes information of the operation region for performing operation and positions of surgical instruments used for operation on the operative region. The output unit is configured to output navigation information to guide the operation instruments to reach the operative region.

The invention provides a corridor vanishing point rapid detection algorithm based on a K-means method. The method is characterized by carrying out earlier stage processing comprising down-sampling, gray processing, histogram equalization and Canny edge detection after obtaining image data returned by a robot in real time; carrying out line extraction on the image obtained in the previous step by utilizing a probability Hough transformation algorithm; and finally, classifying the detected lines into four kinds by utilizing the K-means algorithm according to the slope, calculating the mean value of the midpoints of each cluster of lines, then, establishing four lines to replace the lines detected in the previous step by utilizing the slope obtained by cluster and the midpoint mean values, dividing the four lines into two groups randomly, calculating the intersection point respectively, and taking the midpoint of the intersection point as a vanishing point. The method can rapidly detect the position of the vanishing point, and then, the heading direction of the robot is corrected by utilizing the vanishing point, so that the navigation of the robot can be realized. Compared with the conventional vanishing point detection method, the vanishing point rapid detection algorithm in the invention has the advantages of being simple and efficient, good in real-time performance and high in stability.

The invention discloses a distributed visual sensing network-based movable navigation system, which comprises a visual network system and a movable object. The visual network system is mainly formed by connecting a plurality of visual sensors through wireless or wired networks, and is used for providing an intelligent environment; and the movable object is provided with a control box capable of being communicated with the visual network system, and is controlled to move by the visual network system. The system realizes navigation of non-intelligent vehicles in an extensive and strange environment by building the intelligent environment, not only has high reliability, but also is economical and practical.

The invention discloses a bridge inspection system. An unmanned aerial vehicle carries out first inspection on a bridge needing detection under the manual operation; a cloud desk camera carried out bridge surface data collection and generates an inspection route based on a positioning signal obtained by a positioning module; an unmanned aerial vehicle carries out inspection automatically based onan inspection route of a writing flight control module; an airborne data processing unit carries out processing based on data sent by an obstacle avoidance module; and the flight control module controls the unmanned aerial vehicle to carry out automatic obstacle avoidance emergency treatment. The cloud desk camera carries out video acquisition and image capturing according to set parameters in theautomatic inspection process; videos collected by the cloud desk camera are sent to a ground terminal system for display; and a ground station performs defect detection and positioning according to the captured images during the automatic inspection process. According to the invention, technical problems that the automation degree is low, the workload is large, the stability of the acquired datais poor, and the safety is low because the existing UAV bridge inspection mode mainly relies on the manual operation for bridge surface data collection by the UAV are solved.

Marker information of geographical position obtained includes two parts: first part in utilized to distinguish counties and cities according to GB/T2260-1995 administrative division code of the People's Republic of China; second part is markers of geographical position of towns and circumference, which is divided into marked land blocks. Geographical addressable objects can be located quickly and correctly through the said marker information of geographical position. Road routes of geographical addressable objects can be built based on markers of crossroad of roads. Wireless transmitted marker information of crossroad as well as front crossroad of each road is setup on crossroad. Device capable of receiving the said information wirelessly is installed on vehicle so as to realize navigation for motor vehicles.

The invention provides a hand controller shared control method based on force fusion. The method includes the steps that first, a target object serves as guidance, an operator manipulates a hand controller by human hands to control a robot to move through intelligent decision of the operator; meanwhile, operation scene image data are acquired through a stereoscopic vision technology, a three-dimensional environment is reconstructed in real time, virtual guiding force for making the robot approach a target independently is constructed with the target object as the guidance, the hand controller is guided through the virtual force to control the robot to move, the operating force of the operator and the virtual guiding force of the target object are fused, the hand controller and motion of the robot are controlled through the fused force, and thus the robot can approach the target object under the joint action of machine intelligence and human intelligence, and the operation process is completed. Through the robot hand controller shared control method based on force fusion, human intelligence and machine intelligence can be effectively combined, and safe and fast operation is guaranteed.

The invention provides a system and method for drawing a driving track on the basis of vehicle data. The system comprises a track drawing module, bus data monitoring equipment, an OBD interface and an intranet CAN bus; the bus data monitoring equipment is connected to the OBD interface and the intranet CAN bus of a vehicle and used for monitoring a vehicle bus and transmitting data to the track drawing module, and the track drawing module is used for analyzing the data and drawing the track in real time. According to the method, the method of drawing the driving track according to the driving data of the vehicle itself is adopted, the driving track can be recorded in real time without needing external information, and meanwhile a high-precision inertial navigation module is not needed, so that the measurement cost is reduced.

The invention relates to a method for using vehicle navigation center to navigate online vehicle, wherein said method comprises: storing electric map in navigation center, and storing the information point base one their types, while each point at least comprises the type and position of said point; the navigation center receives the vehicle position from the carrier navigation terminal; the navigation center via the voice communication with vehicle navigation terminal fixes the interested information point type, and searches the nearest information point, as the end point, and uses the start position of vehicle as the starting point of navigation; and the navigation center calculates out the best path from the nearest point to the present vehicle position, and sends said path to the vehicle navigation terminal. The invention can navigate vehicle without target position.

The invention discloses a bicycle reservation method. The bicycle reservation method is suitable for being executed in a network server, the network server is in communication connection with a plurality of mobile terminals, the network server comprises a data storage device, multiple pieces of bicycle data are stored in the data storage device, each piece of bicycle data comprises a bicycle identifier and bicycle information, and the method comprises the following steps: receiving a reservation request sent by any mobile terminal in the plurality of mobile terminals, wherein the reservation request comprises a to-be-reserved bicycle identifier; searching bicycle information associated with the bicycle identifier that is the same as the to-be-reserved bicycle identifier from the data storage device; judging whether a bicycle corresponding to the to-be-reserved bicycle identifier can be reserved according to the searched bicycle information; and if the bicycle corresponding to the to-be-reserved bicycle identifier can be reserved, reserving the bicycle, and sending a reservation success message to the mobile terminal sending the reservation request.

The embodiments of the invention disclose a visual navigation method, a visual navigation device, equipment and a storage medium. The visual navigation method is applied to an automated guided vehicle. The method comprises the following steps that: a ground image is acquired through an image sensor; route identifiers are identified according to the ground image, wherein the route identifiers are used for the navigating and positioning of the automated guided vehicle and comprise color zones, digitals and/or characters; the position parameters of the automated guided vehicle are determined according to the route identifiers; and the advancing route of the automated guided vehicle is corrected according to the position parameters. With the visual navigation method, the visual navigation device, the equipment and the storage medium of the invention adopted, the route of the automated guided vehicle is corrected when the driving route of the automated guided vehicle deviates.

The invention relates to a technological development and design implement method for an intelligent traffic safety management system of motor vehicles. In the current management modes, the driving behavior of drivers is controlled in a limited range by traffic management principles, police officer supervision and some monitoring equipment, the control force is weak in a range lacking supervision and especially in wider ranges, and some drivers incapable of self-discipline cause traffic accidents. The method of the invention comprises a GPS, information provided by combination of wireless communication and a special traffic management electronic map, and a signal transmitter, wherein the signal transmitter transmits various effective information and transfers to a vehicle through a terminal receiver installed on the vehicle; and when prompts of traffic principles and requirements of the position of the vehicle and violation warning are provided for a driver, simultaneously, according to various received information and the real-time status of operation of the vehicle, a traffic safety recording instrument of a receiving terminal automatically identifies whether the vehicle driving violates the principles by safety records and computation of a software system of a computer according to the requirements of the traffic principles in the road section or the position. The invention is applied to traffic management.

The invention discloses an intelligent tour-guiding and view-guiding system based on a hand-drawn map; the system includes a mobile terminal, an interface server and a data management system; the mobile terminal is communicated with the interface server and the data management system through the network; the mobile terminal includes an interface module, a data storage module, a communication module, a navigation service module and a business logic module, the interface module is communicated with the business logic module, the business logic module is also communicated with the data storage module and the communication module, the navigation service module transmits navigation data to the interface module and the data storage module respectively, and the communication module is communicated with the interface server and transmits data to the data storage module. The intelligent tour-guiding and view-guiding system based on the hand-drawn map aims at providing comprehensive and effective self-service tourism to users. Because the system has a user positioning function, independent scenery spot voice broadcast, touring route planning and early warning message delivery can be achieved.

The invention discloses a mine 3G communication positioning comprehensive management system which comprises a command and dispatch center, a 3G transmission network, a radio frequency identification (RFID) transmission network, and a gigabit Ethernet ring. The command and dispatch center comprises a core switch, a first convergence switch, a second convergence switch, a network storage device, a database server, a network management comprehensive server, a personnel positioning system server and a vehicle dispatch system server, wherein the network storage device, the database server, the network management comprehensive server, the personnel positioning system and the vehicle dispatch system server are respectively connected with the core switch, the network storage device is connected with the database server, and the command and dispatch center is communicated with a ground base station. The 3G transmission network comprises a wireless base station, an antenna and a communication terminal. The RFID transmission network comprises a landmark trigger and a positioning trigger which are respectively used for triggering the communication terminal to work. The gigabit Ethernet ring is formed by the core switch and a third convergence switch. The mine 3G communication positioning comprehensive management system has the advantages that resources provided by a 3G broadband network are adequately utilized, and functions of wireless communication, personnel positioning, intelligent broadcast, wireless dispatch, vehicle dispatch, wireless data transmission and the like are highly integrated.

The invention discloses a robot positioning and navigation method based on a bag-of-words tree cluster model. The method comprises the following steps: 1) inputting a long-time video stream containing a low dynamic indoor scene change; 2) performing off-line feature extraction on an image of the video stream; 3) clustering the obtained features through a k-means++ algorithm; 4) performing iterative clustering on the subspace obtained after clustering; 5) building a bag-of-words tree model for features after iterative clustering; 6) building a bag-of-words tree cluster model; 7) summarizing the motion law of a low dynamic object through a statistical principle; 8) analyzing and determining a bag-of-words tree model corresponding to the current moment based on the motion law according to the bag-of-words tree cluster model; and 9) using the determined bag-of-words tree model for loopback detection to realize robot positioning and navigation in a low dynamic environment. According to the invention, long-time self positioning and navigation of a robot can be realized in a low dynamic environment such as indoor space and the like at low cost under the condition of avoiding the use of expensive laser sensors.

The invention discloses an auxiliary ground robot navigation method based on an unmanned aerial vehicle vision SLAM. The method comprises the following steps: acquiring image data by an unmanned aerial vehicle; performing edge detection on the image data, to obtain edge detection image data; through expansive operation, reinforcing the edge detection image data; performing contour detection on thereinforced data; according to the contour detection, acquiring peripheral contour data; and through a binocular vision SLAM method combined with point and line characteristics, fusing the peripheralcontour data and an initial map. The method is capable of solving problems that a laser data information quantity is less, a cartographic area is limited, charting efficiency is low, a speed is slow,charting is not elaborated enough and cost and investment of charting are large and the like.

The invention discloses a method for planning a bridge pier inspection route. An unmanned aerial vehicle is controlled to inspect the pier at least two circles below the bottom of the bridge from topto bottom or from bottom to top. A cloud deck camera carries out image collection on the surface of the whole pier; the flight route of the unmanned aerial vehicle is integrated with information, including the attitude angle, shooting angle, frame rate, focal length and exposure time of the cloud deck camera to generate an inspection route. During the pier inspection process, an inertial measurement module, a vision module and a laser radar are used for navigation. After completion of inspection of the whole pier, the unmanned aerial vehicle flies to a next pier continuously for inspection. Therefore, technical problems of low automation degree, large workload, poor data stability, and low safety because of mainly reliance on manual operation of the unmanned aerial vehicle for bridge surface data collection are solved.

The invention discloses a visual navigation method based on deep reinforcement learning and direction estimation. The method comprises the following steps: 1) generating an AI2-THOR simulation platform offline data set; 2) extracting image features of the RGB-D image of the offline data set; 3) constructing an A3C deep reinforcement learning model, and taking the features in the step 2) as the input of the model to train the model; 4) migrating the model trained in the step 3) according to the real scene, performing fine tuning on the model to improve the generalization ability, and finally applying the fine-tuned model to the visual navigation of the real scene. According to the method, a three-dimensional geometric method is used, the position and the direction of navigation to the target object are calculated through a direction estimation method, direction features are provided for a deep reinforcement learning model, the model can converge more quickly, the generalization ability is higher, and accurate visual navigation is achieved.

The invention provides an information management model generation method. The method comprises the following steps: classifying to-be-inspected application scenes according to an organization structure relationship; receiving input plane figure data of the to-be-inspected application scenes; converting the input plane figure data into three-dimensional information management models corresponding to the to-be-inspected application scenes; classifying the three-dimensional information management models according to the classification of the to-be-inspected application scenes according to the organization structure relationship, and generating a navigation bar at the same time; configuring related management information for each component of the classified three-dimensional information management models; and configuring a plurality of operation modes for the generated three-dimensional information management models corresponding to the to-be-inspected application scenes, so as to generate an information management system for inspection. The information management model generation method provided by the invention is capable of realizing the aging management and data integration of application scenes of large-scale factories or large-scale industrial groups, ensuring the effectiveness and integrity of the information, and enabling the application scenes to be visual and reliable.

The invention discloses an intelligent navigation system based on low-power-consumption Bluetooth, and belongs to the technical field of Internet of things. The intelligent navigation system comprisesan intelligent navigation terminal, a network access device, a server and one or more Bluetooth beacons for periodically broadcasting ID information, wherein the intelligent navigation terminal comprises a Bluetooth signal module, a processing unit, a network module and an effect display module; the Bluetooth signal module, the network module and the effect display module are all connected with processing unit; the network access device is connected with the server; the network module and the network access device are connected wirelessly; and the Bluetooth signal module is used for detectingthe ID information broadcast by the Bluetooth beacons, and sending the ID information to the processing unit. The whole navigation system disclosed by the invention has the advantages of clear structure, convenience in deployment and maintenance and low cost, and is an important improvement on the prior art.

The invention relates to an intelligent car-seeking system, a car-seeking method and an intelligent vehicle. The car-seeking system comprises a mobile terminal for sending a car-seeking instruction. The cloud server is connected with the mobile terminal through a wireless network, and is used for receiving and analyzing the car-seeking instruction to generate a response instruction; a vehicle-mounted controller is connected with a cloud server through a wireless network, and is used for receiving the response command and generating a projection control command; the projection module is connected with the on-board controller, and is used for realizing the setting projection effect according to the projection control command. Compared with the prior art, the invention has the advantages of effectively improving the car searching efficiency and the like.