SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
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Updated
Mar 12, 2024 - C++
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
[ROS package] Online Learning for Human Detection in 3D Point Clouds
3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm
EU funded Horizon 2020 project
Source code for the article "Robust LiDAR Feature Localization for Autonomous Vehicles Using Geometric Fingerprinting on Open Datasets"
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
This code is used to detect obstacles using a 3D Lidar
YOLOv8-Pose-estimation + object detection + people counting
NSL-3130AA ROS2 demo
NSL-3130AA ROS2 USB interface
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