- 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.
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""" | |
stable diffusion dreaming | |
creates hypnotic moving videos by smoothly walking randomly through the sample space | |
example way to run this script: | |
$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry | |
to stitch together the images, e.g.: | |
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4 |
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