Reusable factor-graph tools for trajectory alignment and semantic SLAM
Project description
Orchards Semantic SLAM
Factor-graph python package on top of gtsam for:
- GPS-odometry trajectory alignment
- Semantic mapping with landmark observations (for example trees)
Installation
Using uv:
uv sync
uv pip install -e .
Run Examples
Alignment-only example:
python examples/trajectory_alignment.py
Semantic full-SLAM example (joint robot pose + landmarks):
python examples/semantic_slam.py
Related Publication
Part of this codebase was developed for the following paper:
Rapado-Rincon, D., & Kootstra, G. (2025). Tree-SLAM: semantic object SLAM for efficient mapping of individual trees in orchards. Smart Agricultural Technology, 101439.
DOI: https://doi.org/10.1016/j.atech.2025.101439
Note: not all methods from the paper are ported into this library for simplicity.
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