159 results about "Terrain mapping" patented technology

A method and apparatus for performing wide area terrain mapping. The system comprises a digital elevation map (DEM) and mosaic generation engine that processes images that are simultaneously captured by an electro-optical camera (RGB camera) and a LIDAR sensor. The image data collected by both the camera and the LIDAR sensor are processed to create a geometrically accurate three-dimensional view of objects viewed from an aerial platform.

A method of terrain mapping and/or obstacle detection for aircraft, comprising: (a) transmitting a non-scanning beam that illuminates the terrain and/or obstacles; (b) receiving a Doppler shifted signal that is Doppler frequency shifted by an amount dependent on an angle between a line of flight of the aircraft and scatterers that reflect the transmitted beam; (c) determining the angle from the Doppler frequency; (d) determining the range of at least some of said scatterers; and (e) determining the azimuth and elevation of the scatterers.

The present invention involves a system for automatically screening closed circuit television (CCTV) cameras for large and small scale security systems, as used for example in parking garages. The system includes six primary software elements, each of which performs a unique function within the operation of the security system to provide intelligent camera selection for operators, resulting in a marked decrease of operator fatigue in a CCTV system. Real-time image analysis of video data is performed wherein a single pass of a video frame produces a terrain map which contains parameters indicating the content of the video. Based on the parameters of the terrain map, the system is able to make decisions about which camera an operator should view based on the presence and activity of vehicles and pedestrians, furthermore, discriminating vehicle traffic from pedestrian traffic. The system is compatible with existing CCTV (closed circuit television) systems and is comprised of modular elements to facilitate integration and upgrades.

The invention discloses an unmanned aerial vehicle (UAV) adopted plant protection system, an unmanned aerial vehicle (UAV) for plant protection and its control method. The control method comprises the following steps: obtaining the terrain image of a working area; acquiring the GIS information based on the terrain image calculation so as to automatically plan the working path of one unmanned aerial vehicle or more and controlling the unmanned aerial vehicle(s) in operation according to the working path for plant protection. Therefore, on the one hand, it is possible to make an unmanned aerial vehicle(s) carry out plant protection autonomously according to the planned working path and ensure the quality of plant protection. On the other hand, operators do not need to control the UAV(s) manually, and multiple unmanned aerial vehicles can work simultaneously, meaning that working efficiency can be increased substantially.

An all fiber optic laser based scanning system for real time terrain mapping under degraded visual conditions is disclosed. A laser output is modulated to achieve a desired pulse width and pulse repetition frequency (PRF) and the modulated signal is amplified. The amplified optical signals are split into N channels that correspond to N elements of an optically phased array that steers light by modulating the phase of light entering and exiting the optical system. By applying a linear phase shift across the beam's wave front, the light propagating along the system's optical axis is steered to an off-axis angle. A real time map of an underlying terrain is accomplished by sweeping the N channel array across the terrain while collecting range information from each scan grid.

Methods and systems are used for monitoring a global position or location of a prosthetic or orthotic device and to provide feedback control of the device. Certain methods may employ remote transmitting devices and receivers to recognize when a prosthetic or orthotic device user is in a moving vehicle and, therefore, initiate automatic shut-off, driving mode, or relaxed mode. Other methods may employ remote transmitting devices and receivers to identify the global position of the prosthetic or orthotic device, compare the global position to a stored terrain mapped database and output feedback control instructions and/or alerts to the prosthetic or orthotic device based at least in part on the stored terrain mapping information.

An apparatus for measuring distance to a surface is disclosed. The apparatus transmits at least one subsequent pulse of light prior to receiving a reflection of a previously sent pulse of light. Thus, multiple pulses of light are in-flight at a given time. The embodiments are applicable to terrain mapping, bathymetry, seismology, detecting faults, biomass measurement, wind speed measurement, temperature calculation, traffic speed measurement, military target identification, surface to air rangefinding, high definition survey, close range photogrammetry, atmospheric composition, meteorology, distance measurement, as well as many other applications. Examples of such apparatuses include laser ranging systems, such as light detection and ranging (LIDAR) systems, and laser scanners. Data received from the apparatus by a data processing unit can be used to create a data model, such as a point cloud, digital surface model or digital terrain model describing the surface, terrain, and/or objects.

A method that facilitates identification of features in a scene enables enhanced detail to be displayed. One embodiment incorporates a multi-grid Gibbs-based algorithm to partition sets of endmembers of an image into smaller sets upon which spatial consistency is imposed. At each site within an imaged scene, not necessarily a site entirely within one of the small sets, the parameters of a linear mixture model are estimated based on the small set of endmembers in the partition associated with that site. An, enhanced spectral mixing process (SMP) is then computed. One embodiment employs a simulated annealing method of partitioning hyperspectral imagery, initialized by a supervised classification method to provide spatially smooth class labeling for terrain mapping applications. One estimate of the model is a Gibbs distribution defined over a symmetric spatial neighborhood system that is based on an energy function characterizing spectral disparities in both Euclidean distance and spectral angle.

The invention discloses an extreme-low-altitude laser radar digital terrain mapping system and an extreme-low-altitude laser radar digital terrain mapping method of a small-sized unmanned helicopter. The system is formed by an airborne system and a ground station system, wherein the airborne system is used for accurately collecting data of each sensor, carrying out synchronization processing on the data of the sensors and navigation control of the unmanned helicopter, and can realize data interaction with data of the ground station system through wireless receiving and dispatching equipment; the ground station system is used for receiving and processing data from an airborne laser radar hardware system or checking and processing a data file in an offline manner; the airborne system is formed by a coprocessor and a main processor; and the coprocessor is used for collecting gesture data and position data of the system or realizing the navigation control of the airborne system. According to the extreme-low-altitude laser radar digital terrain mapping system, a mode of matching the coprocessor with the main processor is utilized so that the requirements of the instantaneity and the stability of the navigation control of the small-sized unmanned helicopter are guaranteed, the system is flexible and the function of the airborne system is conveniently expanded; and the system has the advantages of low power consumption, low cost, high integration, high efficiency and the like.

This invention provides a method for identifying lawn grass comprising capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further comprises weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.

The invention discloses a terrain data collection device and a data collection method based on a river work dynamic bed model. The device comprises a support, a data acquisition system, a computer and a power supply, wherein the support comprises two panels and two mutually parallel rail beams; the data acquisition system comprises a translation device, a terrain profile acquisition device and an image collection and correction device; the translation device comprises a bearing platform, a lifting motor, a traction motor and a counter weight; the terrain profile acquisition device comprises an upper stable plate, a lower stable plate, a synchronous motor, an electronic cloud platform and a line laser; and the image collection and correction device comprises a framework, a camera, a universal rod and a point laser. The terrain data collection device based on the river work dynamic bed model has the beneficial effects that the collected terrain image information is rich and intuitive, and is easy to store and update; point-group-type collection is carried out on the terrain surface information, thus the measuring efficiency is improved greatly; the measuring belongs to non-contact-type measuring which can avoid the damage of the measuring terrain form and is suitable for measurement of terrains under various conditions; and the device provided by the invention is simple in structure, low in cost and easy to popularize.

The invention provides a side-scan sonar image feature extraction method based on a full convolutional neural network. The method comprises the following steps: carrying out the data augmentation through an original sonar image, and set needed by model training and testing; manually labeling the edge area of the submarine topography of each image in the sample set, distinguishing a target and a background, and obtaining a model training and testing label graph; an FCNs model is constructed; inputting the submarine topographic map and the corresponding label map into a network, training the network by adopting a small-batch gradient descent method of a driving quantity item, and storing an optimal network model; comparing convergence and stability of the network under a random gradient descent method and a small-batch gradient descent method; and extracting terrain edge contour features, outputting a feature extraction result, and carrying out qualitative evaluation on the result. According to the method, complex preprocessing is not needed, and the sonar feature extraction method is high in speed, high in efficiency and high in speckle noise resistance; the performance of the network is improved, and the convergence and stability of each network model of the FCNs are ensured.

The present invention relates to an airborne reconnaissance system for capturing images in a wide field of regard which comprises: (a) An array of a plurality of n prisms being one next to the other, each prism having an essentially flat and rectangular front surface, and at least an output surface wherein: (a1) a front surface of each of the plurality of prism is being directed toward a different section of a strip of terrain transversal to the flight direction of the aircraft, thereby collecting light rays coming mostly from that terrain strip section; (a2) each output surface of each of the prisms directs light rays which are received through said front prism surface toward a front lens of an optical unit; (b) A focal plane array; (c) Optical unit comprising a front lens, the front lens receiving light separately but simultaneously through the output surfaces of all the prisms, said optical unit comprises addition optics for directing the light received from said lens thereby to produce separate corresponding prism images on said focal plane array; (d) Control unit for periodically capturing all the images that are produced on the focal plane array at each instant, and transferring them into an electronic storage; and (e) Processing and combining unit for processing and combining all the separate stored prism images into a full image of the terrain relating to said wide field of regard.

The invention provides a method for extracting a shallow sea terrain by a single-shot high-resolution optical remote sensing image. The method comprises the following steps: performing information extraction and conversion treatment according to related theories by sea wave characteristic information (waves and change information thereof) presented in the optical remote sensing image to obtain near-shore shallow sea terrain information. Aiming at the terrain mapping requirements of a shallow sea region, the method for extracting the shallow sea terrain based on the single-shot high-resolution optical remote sensing image is built by the wave characteristic information on the high-resolution optical remote sensing image according to the shallow-water wave theory and the linear wave theory; the terrain information of the shallow sea region can be extracted by the single-shot high-resolution optical remote sensing image under the circumstance that any external initial parameter and control parameter are not input; the method is an innovation on the aspect of remote sensing information technology application, is a beneficial complement of near-shore shallow sea terrain measurement, and has a very high practical value.

The invention discloses a single-channel HRWS-SAR imaging method based on pulse phase encoding, which mainly solves the contradiction between high resolution and wide swath in the existing single-channel SAR system. The single-channel HRWS-SAR imaging method comprises the steps of: configuring parameters of an SAR system, and ensuring that range ambiguity only appears once within a main beam illumination range; performing phase encoding on a transmitted pulse signal; decoding an entire echo signal; transforming the entire echo signal after decoding into a range-Doppler domain, and extracting an unambiguous echo signal and an ambiguous echo signal in the range-Doppler domain; and forming an image of an unambiguous region by utilizing the extracted unambiguous echo signal, and forming an image of an ambiguous region by utilizing the extracted ambiguous echo signal. The single-channel HRWS-SAR imaging method based on pulse phase encoding breaks through the constraints of the minimum antenna area on the single-channel SAR system, has low system complexity, requires few space resources, is easy in real-time processing, and can be applied to terrain mapping, environment and disaster monitoring, geological exploration, marine monitoring and investigation.

The embodiment of the invention discloses a vehicle control method, device and equipment and a storage medium. The method comprises the following steps of acquiring a terrain image in front of a vehicle running; determining a road surface type of the terrain image according to a preset road surface type judgment model; and controlling the driving state of the vehicle according to the road surfacetype. According to the vehicle control method, the vehicle is controlled to run according to the road surface type of the road in front of the vehicle, the vehicle control accuracy is improved, and the vehicle driving comfort is improved.

The invention discloses a Real scene visualization method, a dam visualization method and computer equipment, and belongs to the technical field of simulation modeling. The real scene visualization method comprises: simulation model construction and scene model construction, and the scene model construction method comprises the following steps: 1, inputting coordinates or place names, selecting a model area, and generating a texture map for the selected model area; 2, acquiring geographic information system (GIS) height information from the selected model region, optimizing an elevation value, and generating a 3D topographic map; and 3, pasting the texture map in the step 1 on the surface of the 3D topographic map in the step 2 to generate a scene model. After the scene model is constructed, the scene model is positioned and combined with the simulation model to obtain the rendering model, and the rendering model is rendered and output, so that the visualization of a real scene is realized, the simulation model can be vividly and beautifully displayed, the user experience is good, and the invention is convenient to popularize and use.