- Autonomous Mapping and Navigation Using SLAM Toolbox, Nav2, Gazebo, and Rviz Visualization
- GLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM
- Drift-free Visual SLAM using Digital Twins
- pySLAM: a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras.
- pySLAM SLAM pipeline updates
- ICRA 2025 Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion
- An unofficial open source implentation of CSIRO's Wildcat SLAM.
- DynoSAM: Dynamic Object Smoothing and Mapping for Dynamic SLAM
- [Present and Future of SLAM in Extreme Environments](https://ieeexplore.
Aditya Wagh adityamwagh
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For a brief user-level introduction to CMake, watch C++ Weekly, Episode 78, Intro to CMake by Jason Turner. LLVM’s CMake Primer provides a good high-level introduction to the CMake syntax. Go read it now.
After that, watch Mathieu Ropert’s CppCon 2017 talk Using Modern CMake Patterns to Enforce a Good Modular Design (slides). It provides a thorough explanation of what modern CMake is and why it is so much better than “old school” CMake. The modular design ideas in this talk are based on the book [Large-Scale C++ Software Design](https://www.amazon.de/Large-Scale-Soft