Real-time path-planning from 3D reconstruction and depth estimation: an algorithm for calibrated stereo cameras.
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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.
AAIML 2024: 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints
Semantic Occupancy 3D Plotter. This is the plotter made by the SOccDPT project to create fancy 3D visuals. You can use this for your own AV or Robotics visualization!
Sampling-Based 3D Planner With Occupancy Grid Map
Creates an occupation map using skeletons localizations.
Adding danger tapes to the occupancy grid map
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