[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

Graph-based, sparse radar-inertial odometry estimation

Python implementation of VP-STO

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]

LiDAR Inertial Mapping Package

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