[ Hits: 14367| Votes: 29| Rating: 4.89 ]• - The AZIMUTH program plots a world map in either azimuth (beam heading) or Mercator projections. If you specify your home location in latitude and longitude, the azimuth projection is centred on your location. The Azimuth map program can display Maidenhead grids - this is useful for 6m, 2m, and UHF DX communication display. Various features of the map are: Azimuth or Mercator projections, Maidenhead grid display, Simple map zooming, Print maps with adequate resolution up to one meter sized map. Occupancy Grids Overview Occupancy grids are used to represent a robot workspace as a discrete grid. Information about the environment can be collected from sensors in real time or be loaded from prior knowledge. Laser range finders, bump sensors, cameras, and depth sensors are commonly used to find obstacles in your robot’s environment. Occupancy grids are used in robotics algorithms such as path planning (see ). Mar 23, 2018 - In short, an atlas consists of a series of maps and an associated index. To start, using the MAPublisher Grids & Graticules tool, generate an Index Grid. From here, this file can be formatted and refined within a software like. Home Software 13 Free GIS Software Options: Map the World in Open Source 13 Free GIS Software Options: Map the World in Open Source. A List of Free Open Source Mapping Software. Last Updated. Flexisign crack keygen 2017 - and full version. Then you can use the “Grid Splitter” plugin with the municipalities as the cut layer. Calculate the area in hectares for each municipality. They are used in mapping applications for integrating sensor information in a discrete map, in path planning for finding collision-free paths, and for localizing robots in a known environment (see ). You can create maps with different sizes and resolutions to fit your specific application. 2-D occupancy grids have two representations. • Binary occupancy grid (see ) • Probability occupancy grid (see ) A binary occupancy grid uses true values to represent the occupied workspace (obstacles) and false values to represent the free workspace. This grid shows where obstacles are and whether a robot can move through that space. Use a binary occupancy grid if memory size is a factor in your application. A probability occupancy grid uses probability values to create a more detailed map representation. This representation is the preferred method for using occupancy grids. This grid is commonly referred to as simply an occupancy grid. Each cell in the occupancy grid has a value representing the probability of the occupancy of that cell. Values close to 1 represent a high certainty that the cell contains an obstacle. Values close to 0 represent certainty that the cell is not occupied and obstacle free. The probabilistic values can give better fidelity of objects and improve performance of certain algorithm applications. Binary and probability occupancy grids share several properties and algorithm details. Grid and word coordinates apply to both types of occupancy grids. The inflation method also applies to both grids, but each grid implements it differently. The effects of the log-odds representation and probability saturation apply to probability occupancy grids only. World and Grid Coordinates When working with occupancy grids in MATLAB ®, you can use either world or grid coordinates. The absolute reference frame in which the robot operates is referred to as the world frame in the occupancy grid. Most Robotics System Toolbox™ operations are performed in the world frame, and it is the default selection when using MATLAB functions in this toolbox. World coordinates are used as an absolute coordinate frame with a fixed origin, and points can be specified with any resolution.
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