Real-time path-planning from 3D reconstruction and depth estimation: an algorithm for calibrated stereo cameras.
-
Updated
Jun 19, 2021 - Python
Real-time path-planning from 3D reconstruction and depth estimation: an algorithm for calibrated stereo cameras.
Using pre-trained DL models and Transformations for generating occupancy maps. Includes some other basic deep learning tasks. Feel free to contribute.
This Python project demonstrates Occupancy Grid Mapping in robotics and autonomous navigation using real-world data from the Orebro dataset. It processes odometry and laser sensor readings to create an occupancy grid map. With Matplotlib visualizations, it simulates robot navigation and mapping in a 2D environment.
Creates an occupation map using skeletons localizations.
Sampling-Based 3D Planner With Occupancy Grid Map
Adding danger tapes to the occupancy grid map
Add a description, image, and links to the occupancy-grid topic page so that developers can more easily learn about it.
To associate your repository with the occupancy-grid topic, visit your repo's landing page and select "manage topics."