401 results about "Real time navigation" patented technology

An enhanced operating environment for an Interactive Real-Time Distributed Navigation system is disclosed. In the present invention, an enhanced operating environment is provided by improving input and output techniques in a navigation system. Disclosed are methods for reducing the number of inputs to a navigational sytstem through a wireless device. Improved input methods include methods for entering non-deterministic information to retrieve deterministic information. Also disclosed are improved output techniques including methods for pacing navigational prompts provided by a navigation system. The invention is applicable to text, graphics or audible navigation systems.

Some implementations of the invention provide real-time navigation data via a mobile device. Some embodiments of the invention provide portable devices that can indicate both relatively “static” information, such as map data, architectural features, casino layout information, etc., which may be updated from time to time. Accordingly, the term “static” as used herein does not necessarily mean unchanging or unchangeable. Some such embodiments provide portable devices that can simultaneously display static information and real-time video data. The video data may be provided by one or more cameras in a camera network. Information, such as offers, advertisements, etc., may be provided to a user according to the user's location.

In an Interactive Real-Time Distributed Navigation system a method and system is disclosed for implementing a warm start/cold start option. Through selection of the warm start option, an interactive session for providing navigational directions to a user is more quickly established because a user's position is assumed not to be ambiguous. A method of the invention verifies this assumption. Through selection of the cold start option, the method of the invention seeks to remove ambiguity in a user's position before providing navigational directions. If, however, a user's position is not ambiguous, the method of the invention reverts to a warm start condition to immediately transmit navigational directions to the user.

The invention discloses an automatic driving system based on enhanced learning and multi-sensor fusion. The system comprises a perception system, a control system and an execution system. The perception system high-efficiently processes a laser radar, a camera and a GPS navigator through a deep learning network so as to realize real time identification and understanding of vehicles, pedestrians, lane lines, traffic signs and signal lamps surrounding a running vehicle. Through an enhanced learning technology, the laser radar and a panorama image are matched and fused so as to form a real-time three-dimensional streetscape map and determination of a driving area. The GPS navigator is combined to realize real-time navigation. The control system adopts an enhanced learning network to process information collected by the perception system, and the people, vehicles and objects of the surrounding vehicles are predicted. According to vehicle body state data, the records of driver actions are paired, a current optimal action selection is made, and the execution system is used to complete execution motion. In the invention, laser radar data and a video are fused, and driving area identification and destination path optimal programming are performed.

The invention discloses a navigation method for an unmanned aerial vehicle, which is characterized in that an air route detection module with an air route data reckoning function is additionally arranged on the unmanned aerial vehicle and is capable of reckoning real-time navigation data independent on satellite navigation according to parameters including flight attitude, navigational speed and height of airborne equipment, an existing satellite navigation device and existing inertial navigation equipment, which are on the vehicle in flight, are combined to generate combined navigation data, the air route detection module is used for continuously comparing the real-time navigation data with the combined navigation data and judging confidence level of the satellite navigation according to comparison data. When satellite navigation is normal, the combined navigation data are preferentially used by the unmanned aerial vehicle for flight, and the real-time navigation data are temporarily suspended; and when satellite navigation is abnormal, the real-time navigation data are automatically started by the unmanned aerial vehicle for flight. By the navigation method, flight missions of the unmanned aerial vehicle can be guaranteed to be still completed according to preset air routes under the satellite navigation losing condition, and the unmanned aerial vehicle can be prevented from flying by no-fly zones or lands in no-landing zones, so that shortcomings of the prior art are overcome.

The invention provides a video surveillance-based carport recognition and intelligent guide method. According to the method of the invention, a carport image video photographed by a surveillance camera is acquired in real time; carport coordinate data are intelligently calibrated; the carport state information is detected; and the above data are uploaded and saved to a backstage server. According to user demands, on the basis of the carport coordinates and the state information, the optimal carport is planned and the path is guided, the line is finally displayed on an electronic screen, and real-time navigation on a mobile phone terminal can be realized.

The invention relates to an AR (augmented reality)-based vehicle-mounted live-action safe navigation method which comprises the following steps of: acquiring a real-time image in front of a vehicle, carrying out characteristic object extracting treatment on the real-time image, and overlapping an object image attached with a recognition feature with the real-time image; extracting real-time navigation cartographic information from a satellite navigation map for overlapping to form a second image with the navigation information; and when one object attached with the recognition feature in the image triggers an alarm threshold value, promoting a driver to drive on an optimal safety route by an alarm image or sound. The method has the advantages that a novel navigation method which combines cartographic navigation software with the AR (augmented reality) technology can be realized, and a destination can be conveniently found; the destination can be combined with the live-action due to the live-action navigation provided by the invention, the destination is identified on the live-action, and the method is more convenient for users; and the distance between front and back vehicles can be displayed timely, and the deviation from a lane line can be prompted, thereby assisting in safe driving.

The invention discloses an indoor movable robot real-time navigation method based on visual information correction, comprising the following steps of: (1) initializing a robot navigation system, and starting a mile meter and a visual sensor; (2) obtaining the current position of a robot by the mile meter and the visual sensor and forming a kalman filter so as to obtain a mile meter filtration estimation value and a visual sensor filtration estimation value; (3) fusing the mile meter filtration estimation value and the visual sensor filtration estimation value; and (4) resetting parameters. The invention sufficiently utilizes the respective advantages of visual information and mile meter information and combines the precision of the visual information and the real-time property of the mile meter information; the invention utilizes the mile meter self information to carry out the recurrence computation to obtain navigation data at most of the time, thereby ensuring the real-time requirement of the navigation system; in addition, the invention also utilizes the visual information to correct the accumulated errors generated in the dead reckoning of the mile meter, thereby greatly enhancing the accuracy of the navigation system.

A system and method for synchronizing distributed data streams for automating real-time navigation through presentation slides in an electronic conference are provided. With the system and method, a participant in an electronic conference is permitted to navigate back and forth through a series of presentation slides while being able to automatically synchronize the participant's display to a current position within the series of presentation slides regardless of which slide the participant's computer is currently displaying. The present invention provides a background mechanism for monitoring the current live presentation by a presenter during an electronic conference while a participant navigates through a local copy of the presentation slides. Upon the selection of a synchronization option, the participant's display output of the presentation slides is synchronized with the current live presentation using the background mechanism.

The invention discloses an intelligent navigation method and intelligent navigation equipment based on an augmented reality technology. According to the invention, road condition images are collected by using an image collecting apparatus; the collected images are processed; various road condition characteristics are abstracted; according to the abstracted road condition characteristics and a predetermined navigation path, real-time navigation prompting information is transmitted according to actual situations. The navigation prompting information is transmitted on a basis that a current road condition is determined. Therefore, the information is more realistic, and satisfies user requirements.

The present invention relates to a system and method for automatically detecting and mapping points-of-interest (POI) such as parking spaces, and accordingly locating and directing drivers to available parking spaces as close as possible to desired POI and locations. The system is completely autonomous and independent and it uses a Parking Space Detection module that employs machine learning and computer vision techniques for learning the surface of the parking area, the unoccupied life span of a parking space, the occupancy life span of the parking space, detection of suspicious vehicles in terms of parking searcher to independently predict in which available parking space they may parked, and accordingly to navigate in real-time a user to a parking space that has the highest probability to remain free on arrival of that user.

The invention relates to a vehicle real-time navigation method and a system, wherein the navigation method comprises obtaining a plurality of alternative paths according to the initial addresses and the destinations of users, obtaining the weight value of the inherent attribute of relative roads, gaining the weight value of the real-time attribute of relative roads according to the real-time monitoring information, and gaining the weighing score of alternative paths according to the weight values of the inherent attribute and the real-time attribute and the relative weighting, and selecting the running path according to the weighing score. The invention further introduces the concepts of real-time attribute, weighting and weight value in a current vehicle navigation system based on a globe positioning system and a geographic information system through the method and the system. And the real-time passing condition and the weighing score for the running path can be obtained through utilizing the combination of real-time attribute gained from the real-time monitoring and the inherent attribute.

The invention discloses an AGV navigation method and device constructed by a laser guidance map. The method comprises the following steps that a topology map, a geometric map and a target terminal point of an AGV of a work area are obtained; positioning information, measured by a laser range finder and a speedometer, of the AGV is obtained, and the positioning information comprises position coordinate and self-positioning pose of the AGV; a global programming path is generated according to the positioning information and the topology map; and a grid map related to the position coordinate of the AGV is obtained according to the positioning information, and an instruction for indicating movement of the AGV is generated according to the global programming path. Real-time navigation of the AGV can be realized by obtaining positioning information of the AGV by the laser range finder and the speedometer, and it is not required to add other navigation guiding material or structure to the work area of the AGV.

A fusion evaluation method of traffic information collected based on micro blogs comprises the steps of: constructing a data set of micro blog messages with traffic information as a theme; traversing road sections in a road network and selecting micro blog message records related to the road sections in the road network in an effective time window for establishing a micro blog message record set; extracting traffic information description indicators from the micro blog message records and formally conveying the traffic information contained in the micro blogs; performing fusion evaluation of the traffic information in the micro blog message record set and acquiring a real-time dynamic traffic information update table of the traffic information with regard to traffic restriction or traffic control; as for the traffic information with regard to road conditions, calculating clear degree and support degree of the road sections during corresponding period of time; establishing a dynamic feedback model and adjusting honesty degree of micro blog users; and circularly traversing all the roads in the road network and processing the traffic information of the whole road network covered in the micro blog message data set. The method in the invention realizes the rapid fusion evaluation of the traffic information contained in the micro blogs and provides an important data source for the collection of the urban traffic information, thereby being applicable to real-time navigation and location-based service systems, map websites, traffic planning management and emergence response plans.

The invention discloses an intelligent operation auxiliary system based on virtual reality and augmented reality. The intelligent operation auxiliary system comprises a data preprocessing unit (1), a preoperative planning unit (2) and an intranperative auxiliary unit (3), and the data preprocessing unit rebuilds a three-dimensional focus model through an original CT/MRI image; the preoperative planning unit builds a virtual image studio through virtual reality equipment, loads the three-dimensional focus model for a user to go deep inside the lesion organ to make an operation scheme plan, and exports a three-dimensional planning model; the intranperative auxiliary unit calls the three-dimensional planning model through augmented reality equipment to obtain space characteristic points of the three-dimensional planning model, conducts registration and fusion on a real focus part, helps a doctor to recognize a dissection structure, displays an operation scheme decision and quantifies physiological data at the same time at the same time to execute an intranperative plan. The intelligent operation auxiliary system based on the virtual reality and the augmented reality solves the problems that the dissection structure is difficult to recognize and intranperative real-time navigation is lacking, and the success rate of a surgical operation is increased.

Invention describes real-time control system increasing shopping efficiency, maintaining item quality, inventory, and directing customer transactions, requiring handling and processing of items only once. Invention controls access to items inside modules via card with unique embedded identification features. Invention stores customer transactions and entered shopping lists. Invention per customer selected shopping list and items availability, will in real-time navigate customer to complete required transactions within customer selected criteria. Invention controls card identification features and modules containing items. Invention based on card identification and item identification such as barcode information will store customer executed transactions, and will require customer to pay for completed transactions before leaving the store. Invention in real-time maintains inventory of items, controls environment surrounding items, and reports items exceeding shelf life limit preventing their transaction. Invention analyzes transactions executed by the card, correlates transactions to customer at payment module, stores behavior patterns for future optimizations of transactions.

The invention discloses a real-time navigation system and a real-time navigation method for an underwater structure detection robot. The navigation system comprises a magnetic compass, a gyroscope, an accelerometer, a depth meter and a navigation microprocessor, wherein the magnetic compass, the gyroscope, the accelerometer and the depth meter are used for respectively collecting magnetic field intensity, an angular speed, a linear speed and submerged depth data and transmitting the magnetic field intensity, the angular speed, the linear speed and the submerged depth data to the navigation microprocessor; the navigation microprocessor is used for calculating attitude and position of the underwater robot according to the collected data. The navigation method comprises an attitude algorithm, a speed algorithm and a depth algorithm; according to the attitude algorithm, a complementary filtering method, a quaternion gradient descent method and a Kalman algorithm are combined for obtaining an attitude matrix and an attitude angle; the speed algorithm is used for calculating the speed and the position of the robot by using a three-order upwind scheme with rotary compensation; the depth algorithm is used for processing the data of the depth meter by using a moving average filter algorithm so as to obtain the submerged depth. By virtue of the real-time navigation system for the underwater structure detection robot and the method thereof, the navigation cost is reduced and a relatively good navigation precision is achieved.

The invention relates to a visual navigation based multi-crop row detection method, which belongs to the related field of machine vision navigation and image processing, and aims to quickly and accurately extract a plurality of ridge lines in farmland and meet the requirements of the real-time navigation and positioning of agricultural machinery. The invention provides an agricultural machine vision navigation based multi-crop row detection method, which comprises the steps: calibrating camera parameters, acquiring video and image frames, and carrying out distortion correction for the image; dividing a crop ridge line area, extracting navigation positioning points by using the vertical projection method, and calculating the world coordinates of the positioning points; using the random straight line detection method to calculate the positioning points, and detecting the straight lines on which crop ridge rows are positioned; and obtaining the position of each crop ridge row in a world coordinate system relative to the agricultural operation machinery by calculation according to the slope parameters and intercept parameters of the straight lines. Compared with the traditional technology, the technical scheme of the invention greatly reduces time complexity and space complexity, and also improves the accuracy and the real-time of navigation.

The invention relates to a single frequency high precision positioning method based on GNSS. The method comprises steps that 1, preparation work is carried out; 2, initial epoch position solution is carried out; 3, a carrier wave phase epoch difference observation model is constructed, and a relative position variance is solved; 4, the fuzziness information and the position information are transmitted; 5, the fuzziness information and the variance information are adjusted; 6, a fuzziness and position information virtual observation equation is constructed; and 7, least square estimation for a GRAPHIC combined observation equation and a virtual observation equation is commonly carried out, and a final positioning result is solved. Through the method, a GRAPHIC combined kinetics positioning algorithm aided by carrier wave phase epoch difference is utilized, kinetics navigation positioning precision is improved, precise ephemeris energy is employed to carry out high precise orbit determination for LEO satellites, and broadcast ephemeris energy is employed to realize real-time navigation positioning. The method is advantaged in that the method is not influenced by satellite change in a navigation positioning process, high reliability, low cost and simple data processing are realized, and the method is suitable for popularization and application.

A new apparatus, algorithm, and method (all called Invention) are introduced herein to support navigation and placement of an intravascular catheter using the electrical conduction system of the heart (ECSH) and control electrodes placed on the patient's skin. According to the present Invention, an intravascular catheter can be guided both in the arterial and venous systems and positioned at different desired locations in the vasculature in a number of different clinical situations. The catheter is connected to the apparatus using, for example, sterile extension cables, such that the apparatus can measure the electrical activity at the tip of the catheter. Another electrode of the apparatus is placed for reference on the patient's skin. In one embodiment of the present Invention, a control electrode is placed on the patient's chest over the manubrium of the sternum below the presternal notch. In this case, if a catheter is inserted in the venous system, for example in the basilic vein, the Invention will indicate if the tip of the catheter navigates from the insertion point in the basilic vein into the subclavian vein on the same side, into the subclavian vein counter laterally, into the jugular vein, into the superior vena cava, into the cavoatrial junction (CAJ), into the right atrium (RA), into the right ventricle (RV), or into the inferior vena cava (IVC). For the same location of a control electrode, if a catheter is inserted in the arterial system, the Invention will indicate when the tip of the catheter is navigating into the arch of the aorta, into the right coronary artery, into the left circumflex artery, or into the left ventricle (LV). In another embodiment of the present Invention, a control electrode can be placed on the sternum over the xiphoid process. In one embodiment of the present invention, a catheter can be inserted in the arterial systems by arterial radial, brachial or axillary access. In another embodiment of the present Invention, a catheter may be inserted into either the arterial or the venous systems by femoral or saphenous access. In one aspect of the present Invention, navigation maps are introduced for different locations in the vasculature which allow for easy identification of the location of the catheter tip. In another aspect of the present Invention, a novel algorithm is introduced to compute a navigation signal in real time using electrical signals from the tip of the catheter and from control electrodes. In another aspect of the present Invention, a novel algorithm is introduced to compute in real time navigation parameters from the navigation signal computes according to the present Invention. In another aspect of the present Invention, a method is introduced which makes use of the navigation signal to allow for placing an intravascular catheter at a desired location in the vasculature relative to the ECSH and to the control electrodes placed on the skin. In another aspect of the present Invention, the electrical signals obtained from control electrodes and from the tip of the catheter may be generated by the natural ECSH, e.g., the sino-atrial node (SAN), by artificial (implanted) pacemakers or by electrical generators external to the body. In yet another aspect of the Invention, an apparatus is introduced which supports data acquisition required by the computation of a navigation signal according to the present Invention.

The invention discloses a surgical navigation system, a surgical robot system for acetabulum osteotomy and a control method of the surgical robot system. The surgical navigation system is used for acquiring image data of a hip joint image and establishing a hip joint three-dimensional model based on the image data, thereby obtaining the center position of a sphere where the acetabular fossa is located. The surgical navigation system, the surgical robot system for acetabulum osteotomy and the control method of the surgical robot system can realize automatic search, move to the center of the acetabular fossa, and control an end tool at the end of a mechanical arm system to carry out rotary osteotomy operation on the acetabulum according to a motion instruction sequence, thereby improving theaccuracy of the operation. The stability of osteotomy surgery is improved by surgical operation based on a mechanical arm. The surgery can be stopped at an edge of a safe area, and thus the safety ofthe surgery is ensured. In addition, the rotary osteotomy surgery can be navigated in real time, and thus the convenience of surgery and the experience of a user are improved.