Robotics with GPU computing
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Updated
Sep 15, 2024 - C++
Robotics with GPU computing
Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
Algorithm that converts point cloud data into an occupancy grid
C++11 code for building a 3D occupancy grid an SDF 3D grid from a mesh
ROS obstacle detection for 3D point clouds using a height map algorithm.
NVIDIA-accelerated global localization
Real-time visual Simultaneous Localization and Mapping using ORB-SLAM2 for a DJI Tello Drone
Sketch of low-level/low-resources graphic engine: Occupancy Grid Mapping for robot navigation tasks.
A ROS2 package for occupancy grid mapping with known poses for laser scan data.
This repo is provided to assess the performance of OHM against several other voxel or octree based libraries.
multi-agent moving target pursuit in an unknown 4-connected grid world with persistent coverage planning
Computes obstacle free rectangles between initial and final pose of robot in Occupancy Grid
occupancy grid map generator using pointcloud2, in ROS2 foxy
Build graphs and find paths with A*. Supports occupancy grid maps.
Mapping and obstacles detection for unmanned underwater vehicles
Using a Intel Realsense T265 to build an occupancy grid and autonomously navigate around using move_base
ROS2 package to visualize .pcd file and .osm file (openstreetmap) and to convert .osm file to occupancy map
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