752 results about "Reference map" patented technology

A method of motion vector prediction for use in differential motion vector coding within a block motion-compensation-based video coder. The video coder employs a generalized multiple reference picture buffer which may contain multiple reference pictures in both the forward and backward temporal direction from the current picture. For the purpose of coding selections of reference pictures within the buffer, the pictures are organized into two, potentially overlapping, lists of reference pictures. The prediction of a motion vector that selects a reference picture using a given reference picture list is not dependent upon any motion vectors that select their reference pictures using the other reference picture list. The values of spatially neighbouring motion vectors that use the same list of reference pictures as the notion vector being predicted are used for prediction, regardless of the relative temporal direction of the current and neighbouring motion vectors.

A network file access appliance operates as a secure portal for network file access operations between client computer systems and network storage resources. The file access appliance terminates network file access transactions, identified by packet information including client system, mount point, and file request identifiers, between client systems and mount points supported by the access controller. A policy parser determines, based on the packet information, to selectively initiate network file access transactions between the access controller and network storage resources to enable completion of selected network file access transactions directed from the clients to the network file access appliance. The network file access transactions directed to the network storage resources are modified counterparts of policy selected client network file access transactions modified to reference mapped network storage resource mount points and support the secure transfer and storage of network file data.

A method for constructing a 3D reference map useable in real-time mapping, localization and / or change analysis, wherein the 3D reference map is built using a 3D SLAM (Simultaneous Localization And Mapping) framework based on a mobile laser range scanner A method for real-time mapping, localization and change analysis, in particular in GPS-denied environments, as well as a mobile laser scanning device for implementing said methods.

A method and system for detecting moving objects and controlling a surveillance system includes a processing module adapted to receive image information from at least one imaging sensor. The system performs motion detection analysis upon captured images and controls the camera in a specific manner upon detection of a moving object. The image processing uses the camera's physical orientation to a surveillance area to facilitate mapping images captured by the camera to a reference map of the surveillance area. Using the camera orientation, a moving object's position (e.g., latitude, longitude and altitude) within a scene can be derived.

A motion estimation and compensation device that avoids discrepancies in chrominance components which could be introduced in the process of motion vector estimation. The device has a motion vector estimator for finding motion vectors in given interlace-scanning chrominance-subsampled video signals. The estimator compares each candidate block in a reference picture with a target block in an original picture by using a sum of absolute differences (SAD) in luminance as similarity metric, chooses a best matching candidate block that minimizes the SAD, and determines its displacement relative to the target block. In this process, the estimator gives the SAD of each candidate block an offset determined from the vertical component of a corresponding motion vector, so as to avoid chrominance discrepancies. A motion compensator then produces a predicted picture using such motion vectors and calculates prediction error by subtracting the predicted picture from the original picture.

An autonomous unmanned space flight system and planetary lander executes a discrete landing sequence including performing an initial velocity braking maneuver to remove velocity at altitude, coasting during which the planet surface is imaged and correlated to reference maps to estimate cross-track and along-track navigation errors and one or more lateral braking maneuvers are performed to reduce cross-track navigation error, and performing a terminal velocity braking maneuver(s) to reduce the along-track braking maneuver and remove the remainder of the velocity just prior to landing. A bi-propellant propulsion system provides a very high T / M ratio, at least 15:1 per nozzle. Short, high T / M divert maneuvers provide the capability to remove cross-track navigation error efficiently up to the maximum resolution of the reference maps. Short, high T / M terminal velocity braking maneuver(s) provide the capability to remove along-track navigation error to a similar resolution and remove the remaining velocity in a very short time window, approximately 3-15 seconds prior to touchdown. The propulsive efficiency frees up mass which can be allocated to a fuel to remove the unknown navigation errors, perform hazard avoidance and / or relocate the lander by flying it to another site or be allocated to additional payload.

The invention provides a binocular vision obstacle detection method based on three-dimensional point cloud segmentation. The method comprises the steps of synchronously collecting two camera images of the same specification, conducting calibration and correction on a binocular camera, and calculating a three-dimensional point cloud segmentation threshold value; using a three-dimensional matching algorithm and three-dimensional reconstruction calculation for obtaining a three-dimensional point cloud, and conducting image segmentation on a reference map to obtain image blocks; automatically detecting the height of a road surface of the three-dimensional point cloud, and utilizing the three-dimensional point cloud segmentation threshold value for conducting segmentation to obtain a road surface point cloud, obstacle point clouds at different positions and unknown region point clouds; utilizing the point clouds obtained through segmentation for being combined with the segmented image blocks, determining the correctness of obstacles and the road surface, and determining position ranges of the obstacles, the road surface and unknown regions. According to the binocular vision obstacle detection method, the camera and the height of the road surface can be still detected under the complex environment, the three-dimensional segmentation threshold value is automatically estimated, the obstacle point clouds, the road surface point cloud and the unknown region point clouds can be obtained through segmentation, the color image segmentation technology is ended, color information is integrated, correctness of the obstacles and the road surface is determined, the position ranges of the obstacles, the road surface and the unknown regions are determined, the high-robustness obstacle detection is achieved, and the binocular vision obstacle detection method has higher reliability and practicability.

A method and a system for operating a mobile robot comprise a range finder for collecting range data of one or more objects in an environment around the robot. A discriminator identifies uniquely identifiable ones of the objects as navigation landmarks. A data storage device stores a reference map of the navigation landmarks based on the collected range data. A data processor establishes a list or sequence of way points for the robot to visit. Each way point is defined with reference to one or more landmarks. A reader reads an optical message at or near one or more way points. A task manager manages a task based on the read optical message.

The scene matching method for raising navigation precision includes the following steps: 1. for the topographic scene matching module in combined navigation system to read in topographic data based on the digital topographic picture; 2. to search mapping point in the topographic picture based on the current geographic location the inertial navigation system obtains; 3. to intercept the reference map data from the topographic picture around the mapping point; 4. matching the measured map and the reference map; and 5. correcting inertial navigation with the matched result so as to raise the precision of inertial navigation system greatly. One simulating combined navigation system is also disclosed, which includes an aviation trace planning module, a flight control module, an aviation trace generator, an inertial navigation module, a topographic scene matching module matching module and an image displaying module. It has high locating precision, high autonomy and excellent man-computer operation interface.

A moving picture coding apparatus includes: a reference picture list management unit which assigns a reference picture index to each reference picture and creates reference picture lists together with display order and the like; a skip mode prediction direction determination unit which determines a prediction direction in a skip mode for a current block to be coded, using the reference picture lists; and an inter prediction control unit which compares a cost of a motion vector estimation mode, a cost of a direct mode, and a cost of the skip mode in which a prediction picture is generated using a predicted motion vector generated according to the prediction direction determined by the skip mode prediction direction determination unit, and determines a more efficient inter prediction mode among the three modes.

An image decoding method that is performed by a decoding apparatus according to the present disclosure comprises the steps of: obtaining information regarding inter-prediction of a current block via a bitstream; forming an MVP candidate list based on neighbouring blocks of the current block; deriving costs with respect to MVP candidates that are included in the MVP candidate list; deriving a revised MVP candidate list based on the costs with respect to the MVP candidates; deriving MVP of the current block based on the revised MVP candidate list; deriving a motion vector of the current block based on the MVP and MVD of the current block; and performing prediction on the current block based on a reference picture index and the motion vector of the current block, wherein the information regarding inter-prediction includes the reference picture index and the MVD.

A coded moving-picture signal is decoded by a resolution-converting motion compensation process and a resolution-converting inverse discrete cosine transform, both of which decrease the resolution of the picture, thereby reducing the amount of reference picture data that has to be stored and accessed. The reference picture data may also be stored in a compressed form. The resolution conversion and compression processes may also be used in the coding of the moving-picture signal. The resolution-converting inverse discrete cosine transform may be performed by output of intermediate results that have not been combined by addition and subtraction in a butterfly computation.

A method of deriving motion information. Provided is a method which extracts a merge index from a bit stream, constructs a merge candidate list using available spatial and temporal merge candidates, selects a merge predictor among merge candidates listed in the merge candidate list using the merge index, and sets motion information of the merge predictor as motion information of the current prediction unit. The temporal merge candidate includes a reference picture index and a motion vector, zero is set as the reference picture index of the temporal merge candidate, and a motion vector of a temporal merge candidate block of a temporal merge candidate picture is set as the motion vector of the temporal merge candidate. Accordingly, the coding efficiency of the motion information is improvedby including various merge candidates. Also, the computational complexity of an encoder and a decoder is reduced maintaining improvement of coding efficiency by adaptively storing motion information of reference picture and adaptively generating a temporal merge candidate.

Provided is a pattern inspecting and measuring device that decreases the influence of noise and the like and increases the reliability of an inspection or measurement result during inspection or measurement using the position of an edge extracted from image data obtained by imaging a pattern as the object of inspection or measurement. For this purpose, in the pattern inspecting and measuring device in which inspection or measurement of an inspection or measurement object pattern is performed using the position of the edge extracted, with the use of an edge extraction parameter, from the image data obtained by imaging the inspection or measurement object pattern, the edge extraction parameter is generated using a reference pattern having a shape as an inspection or measurement reference and the image data.

There is provided methods, apparatuses and computer program products for video coding and decoding. A first part of a first coded video representation is decoded, and information on decoding a second coded video representation is received and parsed. The coded second representation differs from the first coded video representation in chroma format, sample bit depth, color gamut and / or spatial resolution, and the information indicates if the second coded video representation may be decoded using processed decoded pictures of the first coded video representation as reference pictures. If the information indicates that the second coded video representation may be decoded using processed decoded pictures of the first coded video representation as a prediction reference, decoded picture(s) of the first part is / are processed into processed decoded picture(s) by resampling and / or sample value scaling; and decoding a second part of a second video representation using said processed decoded picture(s) as reference pictures.

A method for determining a context for coding is disclosed. The method generally includes the steps of (A) generating a plurality of results by examining a prediction mode for each of a plurality of neighbor blocks to a current block in a bitstream for digital video, wherein at least one of the neighbor blocks is subpartitioned, (B) generating a plurality of first variables based on the results and (C) coding the bitstream using a binary arithmetic coding based on a particular context among a plurality of context determined from the first variables.

The invention provides a high-precision map generation method, a device and a storage medium. The method comprises the following steps: the target point cloud data is processed by point cloud splicingto obtain the lidar posture corresponding to the target point cloud data; Lidar-based pose, A target point cloud data is project into a preset two-dimensional region, generating a map based on a reflection value and a height value, wherein the global region comprises a plurality of preset two-dimensional regions, the map based on the reflection value and the height value stores the number of laser points projected therein in units of the preset two-dimensional regions, the reflection value information and the height value information, and the target point cloud data comprises data corresponding to a plurality of laser points; Using the target point cloud data, the map based on the reflection value and height value is verified by self-localization. If the result of the self-positioning verification satisfies the preset conditions, the map based on the reflection value and height value is integrated into the reference map to generate a high-precision map, and the reference map is a mapcreated by Zai. The invention can obtain a high-precision map with a wider application range.

An image decoding method according to the present invention includes: obtaining motion information of a current block, specifying a reference block of the current block within a reference picture on the basis of the motion information, and generating a prediction block of the current block from the reference block.

A robotic mower navigation system includes a plurality of sensors on a robotic mower that detect strength and polarity of a magnetic field from an electric current through a boundary wire. An electronic control unit receives data concerning the magnetic field from the plurality of sensors as the robotic mower follows the boundary wire, tracks the data provided by the sensors, compares the data with a reference pattern that defines at least one specified feature of the boundary wire, and provides commands to the robotic mower based on the comparison. The electronic control unit may command the robotic mower to follow a second boundary wire to a remotely located charging station instead of the first boundary wire based on detected features of the boundary wire such as sharp corners or crossings.

A method for sending a long-term reference picture indicator by an electronic device is described. A long-term reference picture indicator is generated. The long-term reference picture indicator is sent. An absolute Picture Order Count (POC) corresponding to a long-term reference picture is generated. The absolute POC includes a least significant bit (LSB) value. The LSB value of the absolute POC corresponding to a long-term reference picture is sent. A used by current picture flag corresponding to a current picture is generated. The used by current picture flag in at least one parameter set is sent.

The invention discloses a method for autonomous navigation using a geomagnetic field line map. Firstly, a plurality of characteristic quantities of the geomagnetic filed on a path of an aerial vehicle are measured continuously according to a preset frequency, and measurement data are used to build a matched line map of the corresponding characteristic quantities in a sliding window mode with fixed-point number; and a matched line map of the plurality of characteristic quantities is matched and compared with a reference map by using an algorithm for fining global optimum according to a matching similarity rule and a matching result fusion rule to acquire the position information of the aerial vehicle. The technology makes full use of the characteristics of the plurality of characteristic quantities of the geomagnetic field to calculate the accurate position of the aerial vehicle, avoids navigation accumulated error under a condition of long flight period, is particularly suitable for navigation in environments without typical geomorphic features such as ocean and plain, can meet requirements of future cruise missiles, unmanned aerial vehicles, submarines and the like for passive, all-sky time, all-weather and all-terrain navigation, and also can be used in civil area.

A method and a device for locating a vehicle from a fixed reference map in which objects are assigned one or more positions in the reference map. At successive points of a vehicle trajectory, in each case a radar impulse is emitted and subsequently, angle-resolved and time-resolved measurements of the radar impulse response are performed. Object positions are identified in the environment surrounding the vehicle from the radar impulse response, the current identified object positions forming an environment map. The vehicle position is identified in the reference map by comparing the environment map to the reference map, the reference map being created from the identified positions and is continuously updated. An object classification for the identified object positions in the current environment map and / or reference map is performed and the identification of the vehicle position is performed while taking the object classification into account.

A motion compensation predictor comprises a reference picture selection unit, a center-of-search-setting unit, a search-range-setting unit, a motion vector search unit and a motion compensation unit. The motion compensation unit repeatedly performs, for a target block in a motion picture signal, selection of a reference picture signal, setting of the center of search, setting of a search range, and a search for a motion vector, thereby acquiring an optimal motion vector. The unit then performs motion compensation on reference picture signals sequentially selected, using the optimal motion vector, to generate a predicted picture signal. The motion-vector-search unit sets the search range on a reference picture indicated by a currently selected reference picture signal, based on information related to a motion vector detected in the search range set on a reference picture indicated by a preceding reference picture signal.

The present invention relates to a patient interface identification system for identifying a patient interface that is suited for a face (16) of a user (18), comprising: a receiving unit (12) for receiving a test picture (14) including the face (16) of the user (18); a database (22) for storing reference picture including faces of other users, wherein each reference picture is referenced to a patient interface advice; a processing unit (24) for comparing the received test picture (14) with at least a subset of said reference pictures stored in the database (22), wherein comparing said test picture (14) with said subset of reference pictures includes a comparison of image based features of the user's face (16) and the other users' faces; and a user interface (26) for communicating a patient interface advice including information related to a patient interface that is suited for the face (16) of the user (18), which patient interface advice is based on the comparison of said test picture (14) with the subset of reference pictures stored in the database (22).

Data in an update data format for performing an update of reference map data is formed by storing in each data frame divided for each data type, at least one of: a first group of one or more common map data records to be stored according to the data type of each data frame in a common map data frame after a conversion by a conversion unit; a second group of one or more first map data records to be stored according to the data type of each data frame in a first map data frame after a conversion by a conversion unit; and a third group of one or more second map data records to be stored according to the data type of each data frame in a second map data frame after a conversion by a conversion unit.

A method for reducing memory utilization in a digital video codec. The method generally includes the steps of (A) generating a second reference picture by downsampling a first reference picture using a pattern, wherein the pattern (i) comprises a two-dimensional grid and (ii) is unachievable by performing a vertical downsampling and separately performing a horizontal downsampling, (B) generating a third reference picture by upsampling the second reference picture and (C) processing an image in a video signal using the third reference picture.

The invention discloses an indoor positioning method and system based on PDR and geomagnetism, the indoor positioning method is as follows: an accelerometer, a gyroscope and a magnetometer are arranged in an intelligent mobile phone, geomagnetic data of a positioning area can be obtained by the magnetometer, kriging interpolation algorithm is used to build a global geomagnetic reference map; when a user moves, the accelerometer and the gyroscope are used to obtain stride frequency, step length and direction angle information of the user to obtain PDR positioning results; and finally optimal positioning results of the user can be obtained by particle filter fusion algorithm, the positioning system includes a measuring module, a PDR positioning module, a particle filter module and a display module; the measuring module further comprises the accelerometer, the gyroscope and the magnetometer. The accelerometer, the gyroscope and the magnetometer are respectively connected with the PDR positioning module, and the magnetometer is also connected with the particle filter module. By combining of PDR and particle filter two positioning algorithms, the accuracy of the positioning results is improved, and indoor positioning can be achieved without the support of other external devices.