Virtual Graph Paper
WEBVirtual Graph Paper is a web application for creating drawings and illustrations on a virtual grid. It's free, and you can use it right here in your browser. Your drawing can be downloaded as a PNG or SVG file, or shared online using a unique URL. Have fun!
GitHub - ANYbotics/grid_map: Universal grid map library for …
WEBThis is a C++ library with ROS interface to manage two-dimensional grid maps with multiple data layers. It is designed for mobile robotic mapping to store data such as elevation, variance, color, friction coefficient, foothold quality, surface normal, traversability etc.
Build 2-D grid maps using lidar-based SLAM - MATLAB
WEBThe SLAM Map Builder app loads recorded lidar scans and odometry sensor data to build a 2-D occupancy grid using simultaneous localization and mapping (SLAM) algorithms. Incremental scan matching aligns and overlays scans to build the map.
Mipui
WEBMipui is a free and open-source collaborative web application for creating, editing and viewing grid-based maps for tabletop or role-playing games. Start creating a map now! No registration is neccessary, and there's nothing to download or install.
pymap2d - PyPI
WEBNov 9, 2021 · pymap2d is a Cython-based fast toolbox for 2d grid maps. The CMap2D class provides: simple xy <-> ij coordinate conversions. implementation of the dijkstra / fastmarch algorithm. fast 2D distance transform (ESDF) conversions: to/from polygon vertices. from ROS occupancy map or lidar scan message.
GitHub - danieldugas/pymap2d: 2D gridmap tools
WEBpymap2d is a Cython-based fast toolbox for 2d grid maps. The CMap2D class provides: simple xy <-> ij coordinate conversions. implementation of the dijkstra / fastmarch algorithm. fast 2D distance transform (ESDF) conversions: to/from polygon vertices. from ROS occupancy map or lidar scan message.
occupancyMap - Create 2-D occupancy map - MATLAB
WEBUse the occupancyMap class to create 2-D maps of an environment with probability values representing different obstacles in your world. You can specify exact probability values of cells or include observations from sensors such as laser scanners.
2D GRID OCCUPANCY MAPPING USING OVERHEAD CAMERA - GitHub
WEBReal-time 2D Occupancy Grid Generation. Converts 3D points from ORB-SLAM into 2D grid maps in real-time for effective robot navigation. Local and Global Counter Enhancement. Prevents misrepresentation of co-linear points, ensuring accurate differentiation between occupied and free spaces by …
2D Grid Map Generation for Deep-Learning-based Navigation …
WEBOct 25, 2021 · 2D Grid Map Generation for Deep-Learning-based Navigation Approaches. In the last decade, autonomous navigation for roboticshas been leveraged by deep learning and other approachesbased on machine learning. These approaches have demon-strated significant advantages in robotics performance.
WEBIn this paper, we propose a novel end-to-end method named PillarSegNet to approach dense semantic grid map estimation using sparse LiDAR data. PillarSegNet takes a sparse single sweep LiDAR point cloud as input and subdivides it into a …
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