UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown
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occupancy-map
Here are 14 public repositories matching this topic...
An efficient, extensible occupancy map supporting probabilistic occupancy, normal distribution transforms in CPU and GPU.
gpu opencl cuda lidar gpu-acceleration pointcloud robotics-algorithms lidar-point-cloud occupancy-map occupancy-gri
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Mapping spatiotemporal patterns in an online and continuous fashion
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Contains coursera robotics specialization assignment codes
astar-algorithm assignment particle-filter dijkstra kalman-filter prm coursera-robotics minimum-jerk occupancy-map
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Code for our paper "Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping".
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Fast Gaussian process occupancy maps (GPOM) for dynamic environments using Big Data GP
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Using pre-trained DL models and Transformations for generating occupancy maps. Includes some other basic deep learning tasks. Feel free to contribute.
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- Jupyter Notebook
A collection of sensor maps collected by Google's Tango Tablet, accompanied with layout maps
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This repo is provided to assess the performance of OHM against several other voxel or octree based libraries.
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A very crude implementation of quadtree (just for visualization purposes)
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Developed and implemented all the occupancy mapping based sensor models for mobile robot mapping and successfully implemented the BKI Semantic mapping pipeline.
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Metric calculator toolkit for 3D detection and object occupancy detection.
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- MATLAB
A web-based occupancy grid editor for robotics. Create, edit, and export occupancy maps with support for ROS, CSV, JSON, and PNG formats. Features include start/goal placement, relative coordinate systems, and grid generation tools.
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- TypeScript
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- C++
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