715 results about "Reference map" patented technology

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.

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.

Disclosed is an image encoding method. The method includes deriving a motion refinement candidate from among motion information of spatial neighboring blocks, motion information of a temporal neighboring blocks, predefined motion information, and motion information that most frequently occurs in a reference picture, performing a motion information refinement on the derived motion refinement candidate, and generating a prediction block of a current block by using the motion refinement candidate having undergone the motion information refinement.

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.

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 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 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.

A method, apparatus and system for transmitting a data link descriptor or MAP signal describing sub-burst transmissions having a common number of resource units allocated thereto. The MAP signal may include the length of the common number of resource units allocated thereto and the modulation and coding schemes to be used thereby. A method, apparatus and system for transmitting an ordered MAP signal sequence describing a series of transmissions each having a number of resource units allocated thereto. A first plurality of locations in the ordered sequence may describe lengths of resource units. A second plurality of locations in the ordered sequence may describe numbers of transmissions having the lengths described in one of the first plurality of locations. A third plurality of locations in the ordered sequence may describe a number of transmissions using one of a plurality of modulation and coding schemes. Other embodiments are described and claimed.

A method for preventing a vehicular door or window panel from pinching an obstruction extending through an aperture of the vehicle by measuring a capacitance of a field extending through the aperture using a capacitive sensor as a motor drives the panel between the open and closed positions, correlating the measured capacitance to panel position to create closing data, comparing the closing data to a reference map to create a compare value, and detecting an object in a path of the panel as it moves toward the closed position when the compare value exceeds a threshold value. The threshold value is dependent on the relative wetness of the sensor, which is determined by comparing the capacitance of the sensor at predetermined panel positions against a calibration wetness profile.

A system, method, and medium for performing incremental backups of a data set within a deduplication storage system. An incremental backup of a data set is initiated, and the changed data items of the data set are deduplicated. An extents catalog is created to fully describe the data set. References associated with the unchanged data items of the data set are retrieved from the extents catalog and then sent to a deduplication engine. The deduplication engine uses the references to retrieve fingerprints associated with the unchanged data items from a previous reference map. Then, the deduplication engine creates a new reference map for the incremental backup and stores the newly generated and retrieved fingerprints in the new reference map.

The top field of a coded picture is exclusively decoded. If the decoded field is structured as field picture and the top field of a reference picture is referenced, decoded motion vectors are used to perform a motion compensation. If the nonexistent bottom field of the reference picture is referenced, the decoded motion vectors are corrected so that they extend from the top field of the reference picture to the decoded top field and a motion compensation is performed using the corrected motion vectors. If the decoded field is structured as frame picture and field estimation is used, the same vector correction and motion compensation are repeated, and if frame estimation is used, average values of successive lines of the top field of the reference picture are calculated, the motion vectors are corrected using the average values and a motion compensation is performed using the corrected motion vectors.

An image encoding method and an image decoding method are provided. The image decoding method includes deriving a temporal merge candidate from a co-located block of a current block, generating a merge candidate list of the current block based on the derived temporal merge candidate, and generating a prediction block of the current block based on the generated merge candidate list. The deriving a temporal merge candidate includes scaling a motion vector derived from the co-located block based on a POC difference value between the current block and a reference picture of the current block and a POC difference value between the co-located block and a reference picture of the co-located block, and modifying the scaled motion vector based on motion vector scaling information between a neighboring block of the current block and a co-located block of the neighboring block.