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3457 results about "Motion direction" patented technology

So the direction of motion can be viewed as the direction of the velocity vector, as well as the direction of the path at that location. A path has direction because it has a start and a finish. Mathematically if a path has position vector \vec {r} (q) where q is any independent coordinate such as distance, angle, time,...

Panoramic movie which utilizes a series of captured panoramic images to display movement as observed by a viewer looking in a selected direction

Movement through multi-dimensional space is simulated using a series of panoramic images which are projected or displayed in sequence. The user's direction of view, that is the selected view window, is maintained as the series of images is projected or displayed. Motion in directions other than forward or reverse is simulated by utilizing "branch" points in the sequence. Each path from a branch point simulates motion in a different direction. Branch points are generally indicated to a viewer by visual indicators called "hot spots"; however, branch points may also be hidden and activated in response to the viewer's selected direction of view. If a branch point is indicated by a visual indicator, a user can select motion in a desired direction by clicking on a "hot spot".In order to conserve storage space, the image representing each panorama can be stored in a compressed format. Only the portion of the panorama necessary to create a "view window" that is, the portion of the image displayed in response to the user's direction of view, is decompressed at view time. An index methodology is used to store the panoramic images. Use of the indexing methodology allows the images to be retrieved in both the forward and backward direction to simulate movement in either direction. Sound is provided in a special format, so that special effects can be provided based on the user's point of view and dependent upon the direction of motion selected by the user.
Owner:IMMERSIVE LICENSING

Driving mechanism of dual-power automatic transfer switch

The invention relates to a driving mechanism of a dual-power automatic transfer switch. The driving mechanism mainly comprises a driving electromagnet assembly, a mounting bracket, a connecting plate, a push rod, a lever, an oscillating deck, a crank, a main switch rotating shaft, a connecting rod, a pin shaft, a rotating shaft, a first hinged shaft, a second hinged shaft, a connecting block, a shaft, a third hinged shaft and a fourth hinged shaft; the driving electromagnet assembly is composed of a magnet exciting coil, a dynamic iron core, a spring and a static iron core. The driving mechanism is characterized in that in the driving electromagnet assembly, linear motion in the horizontal direction of the dynamic iron core and the push rod is converted into linear motion of the pin shaft in the vertical direction through the oscillating deck, the lever, the connecting plate and the like, and linear motion of the pin shaft is converted into swing of the main switch rotating shaft around the axis through the connecting rod and the crank. Reciprocating swing of the main switch rotating shaft completes switching on and switching off actions of the whole switch. The oscillating deck plays a role in changing the motion direction. The lever plays a role in increasing thrust. A connecting rod crank mechanism plays a role in self-locking and preventing reversion.
Owner:GUIZHOU TAIYONG CHANGZHENG TECH CO LTD

Learning and anomaly detection method based on multi-feature motion modes of vehicle traces

The invention provides a method for learning and anomaly detection of trace modes by utilizing much feature information of a trace. Firstly, in the trace mode learning phase, similarities of motion directions and spatial positions between traces are considered at the same time, a typical trace motion mode is extracted by hierarchical agglomerative clustering, and is provided with high cluster accuracy; and the time efficiency is greatly improved through constructing a Laplacian matrix and reducing the dimensionality of the matrix. Then in the abnormity detection phase, a distribution area of scene starting points is learned through a GMM model, a moving window is used as a basic comparing element, differences of a trace to be detected and a typical trace in position and direction are measured by defining a position distance and a direction distance, and an on-line classifier based on the direction distance and the position distance is established. That the trace belongs to a starting point abnormity, a global abnormity or a local abnormity is determined online through a multi-feature abnormity detection algorithm; and due to the fact that starting point, direction and position feature differences are considered at the same time, and the global abnormity and the local child segment abnormity are considered, the learning and anomaly detection method based on multi-feature motion modes of the vehicle traces is higher in abnormity recognition rate when being compared to traditional methods.
Owner:海之蝶(天津)科技有限公司

Panoramic movie which utilizes a series of captured panoramic images to display movement as observed by a viewer looking in a selected direction

Movement through multi-dimensional space is simulated using a series of panoramic images which are projected or displayed in sequence. The user's direction of view, that is the selected view window, is maintained as the series of images is projected or displayed. Motion in directions other than forward or reverse is simulated by utilizing "branch" points in the sequence. Each path from a branch point simulates motion in a different direction. Branch points are generally indicated to a viewer by visual indicators called "hot spots"; however, branch points may also be hidden and activated in response to the viewer's selected direction of view. If a branch point is indicated by a visual indicator, a user can select motion in a desired direction by clicking on a "hot spot". In order to conserve storage space, the image representing each panorama can be stored in a compressed format. Only the portion of the panorama necessary to create a "view window" that is, the portion of the image displayed in response to the user's direction of view, is decompressed at view time. An index methodology is used to store the panoramic images. Use of the indexing methodology allows the images to be retrieved in both the forward and backward direction to simulate movement in either direction. Sound is provided in a special format, so that special effects can be provided based on the user's point of view and dependent upon the direction of motion selected by the user.
Owner:IMMERSIVE LICENSING

Visual navigation method and system of mobile robot as well as warehouse system

The invention discloses a visual navigation method and system of a mobile robot. According to the method, a scene image in a scene where the mobile robot is located is acquired in real time and converted into a grayscale image; a two-dimensional code in the grayscale image is identified and decoded, and state transition information and speed change information are obtained; meanwhile, an outline center line of a stripe in the same frame of grayscale image is determined, and the offset distance and the offset angle between the outline center line of the stripe and a center line of the grayscale image are calculated; the linear velocity and the motion direction of the mobile terminal are adjusted according to the state transition information and the speed change information, and meanwhile, the angular velocity of the mobile robot is corrected in real time according to the offset distance and the offset angle. The two-dimensional code on the stripe and the scene image for correction are acquired simultaneously in the image manner, the two-dimensional code and the stripe in the same frame of image are merged, meanwhile, preset motion and real-time correction of the robot are controlled, the control and correction method can be significantly simplified, the velocity can be increased, and the system can be more stable.
Owner:NINGBO INST OF MATERIALS TECH & ENG CHINESE ACADEMY OF SCI
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