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ETH Zurich
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[CVPR 2024] Neural Markov Random Field for Stereo Matching
A collection of GTSAM factors and optimizers for point cloud SLAM
GLIM: versatile and extensible range-based 3D localization and mapping framework
IPC: Incremental Probabilistic Consensus-based Consistent Set Maximization for SLAM Backends
[IEEE RA-L 2024] River: A Tightly-Coupled Radar-Inertial Velocity Estimator Based on Continuous-Time Optimization
Minimal, robust, accurate and real-time LiDAR odometry
RMPs on multi-resolution occupancy maps for efficient reactive collision avoidance
[CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space
Efficient and parallel algorithms for point cloud registration [C , Python]
ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
Code for RA-L paper "RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation"
BotanicGarden: A high-quality dataset for robot navigation in unstructured natural environments
CoTracker is a model for tracking any point (pixel) on a video.
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
a Multi-Map LiDAR-Inertial System for Over-Degraded Environments
High-resolution point cloud reconstruction from a compact Gaussian Mixture Model.
LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.
republish livox raw message to standard pointcloud2
ROS wrapper for Meta's Segment-Anything model