https://ramdi.fr/tags/lidar/Recent content in Lidar on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000https://ramdi.fr/github-stars/genz-icp-robust-lidar-odometry-with-adaptive-weighting-for-degenerate-geometries/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/genz-icp-robust-lidar-odometry-with-adaptive-weighting-for-degenerate-geometries/GenZ-ICP enhances LiDAR odometry by introducing an adaptive weighting scheme for ICP registration, improving robustness in challenging environments like tunnels and open fields. It builds on KISS-ICP with Python and ROS integration.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/boxer3d-on-device-real-time-3d-object-detection-on-iphone-with-lidar-and-deep-learning/Tue, 05 May 2026 13:37:39 +0000https://ramdi.fr/github-stars/boxer3d-on-device-real-time-3d-object-detection-on-iphone-with-lidar-and-deep-learning/Boxer3D is a native Swift iOS app that runs real-time 3D object detection on iPhone using LiDAR and a YOLO11n+BoxerNet pipeline accelerated by ONNX Runtime and CoreML.https://ramdi.fr/github-stars/super-lio-a-structured-mapping-lidar-inertial-odometry-system-for-faster-real-time-navigation/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/super-lio-a-structured-mapping-lidar-inertial-odometry-system-for-faster-real-time-navigation/Super-LIO improves LiDAR-Inertial Odometry with a compact mapping strategy that speeds up correspondence search by 1.2-4x. It supports ROS1/2 and targets Livox Mid-360 sensors.