https://ramdi.fr/tags/slam/Recent content in Slam on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000https://ramdi.fr/github-stars/learning-autonomous-mobile-robots-with-ros-2-a-hands-on-course-companion/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/learning-autonomous-mobile-robots-with-ros-2-a-hands-on-course-companion/This repo complements a ROS 2 course with hands-on C++/Python exercises, Gazebo simulation, and real robot control focusing on localization, mapping, and obstacle avoidance.https://ramdi.fr/github-stars/mast3r-slam-integrating-foundation-model-3d-priors-into-real-time-dense-slam/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/mast3r-slam-integrating-foundation-model-3d-priors-into-real-time-dense-slam/MASt3R-SLAM integrates a pretrained 3D reconstruction model as a geometry prior in a dense SLAM pipeline, enabling real-time tracking and mapping without classical bundle adjustment or depth sensors.https://ramdi.fr/github-stars/monogs-monocular-slam-with-3d-gaussian-splatting-for-real-time-dense-mapping-and-tracking/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/monogs-monocular-slam-with-3d-gaussian-splatting-for-real-time-dense-mapping-and-tracking/MonoGS rethinks monocular SLAM by replacing point-cloud maps with differentiable 3D Gaussian splatting, enabling real-time dense reconstruction and camera tracking in a unified pipeline.https://ramdi.fr/github-stars/overlapnet-siamese-networks-for-loop-closure-detection-in-3d-lidar-slam/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/overlapnet-siamese-networks-for-loop-closure-detection-in-3d-lidar-slam/OverlapNet uses Siamese networks on 2D range images from 3D LiDAR to detect loop closures by predicting overlap and relative yaw angle simultaneously. Practical demos included.https://ramdi.fr/github-stars/droid-w-extending-slam-to-dynamic-in-the-wild-scenes-with-uncertainty-estimation/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/droid-w-extending-slam-to-dynamic-in-the-wild-scenes-with-uncertainty-estimation/DROID-W builds on DROID-SLAM to handle dynamic scenes in-the-wild by jointly estimating camera pose, scene structure, and dynamic uncertainty using Lie group optimization and metric depth estimation.https://ramdi.fr/github-stars/inside-the-zed-sdk-gpu-accelerated-spatial-perception-for-stereo-cameras/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/inside-the-zed-sdk-gpu-accelerated-spatial-perception-for-stereo-cameras/Explore the ZED SDK, a C++ library for real-time stereo vision, SLAM, and spatial mapping with GPU acceleration and zero-copy CUDA interoperability for edge robotics.https://ramdi.fr/github-stars/mr-scalemaster-heterogeneous-multi-robot-monocular-slam-fusion-via-sim-3-optimization/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/mr-scalemaster-heterogeneous-multi-robot-monocular-slam-fusion-via-sim-3-optimization/MR.ScaleMaster fuses scale-ambiguous monocular SLAM trajectories from multiple robots using Sim(3) graph optimization, enabling heterogeneous SLAM frontends and consistent global maps.https://ramdi.fr/github-stars/prompthmr-integrating-promptable-architecture-for-3d-human-mesh-recovery-from-monocular-inputs/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/prompthmr-integrating-promptable-architecture-for-3d-human-mesh-recovery-from-monocular-inputs/PromptHMR adapts SAM’s promptable design to 3D human mesh recovery, integrating SLAM, pose detection, and SMPL models into a unified pipeline for monocular images and videos.