MichaelGrupp 的其他开源项目
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An open source platform for visual-inertial navigation research.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Efficient neural feature detector and descriptor
DUSt3R: Geometric 3D Vision Made Easy
Toolbox for quantitative trajectory evaluation of VO/VIO
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
#计算机科学#Stable Diffusion web UI
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces, RUM, Error tracking, Session replay).
#计算机科学#Machine Learning Toolkit for Kubernetes
#计算机科学#Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
LIO-SAM源码详细注释，3D SLAM融合激光、IMU、GPS
A DSL for data-driven computational pipelines