luigifreda/slamplay
A C++ SLAM development framework integrating deep learning, optimization, and computer vision libraries with examples for visual and LiDAR-inertial SLAM.
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slamplay provides a unified CMake framework that wires together major SLAM building blocks including back-end optimizers (g2o, GTSAM, Ceres), front-end perception tools (OpenCV, PCL), deep learning runtimes (TensorRT, TensorFlow, libtorch), and visualization libraries (Pangolin, ImGui, ReRun). It includes commented examples and supports visual SLAM and LiDAR-inertial SLAM pipelines, with deep learning modules for depth estimation, semantic segmentation, and object detection.
Frequently asked
- What is luigifreda/slamplay?
- A C++ SLAM development framework integrating deep learning, optimization, and computer vision libraries with examples for visual and LiDAR-inertial SLAM.
- Is slamplay open source?
- Yes — luigifreda/slamplay is an open-source project tracked on heatdrop.
- What language is slamplay written in?
- luigifreda/slamplay is primarily written in C++.
- How popular is slamplay?
- luigifreda/slamplay has 443 stars on GitHub.
- Where can I find slamplay?
- luigifreda/slamplay is on GitHub at https://github.com/luigifreda/slamplay.