Manif
Manif: A micro Lie theory library for state estimation in robotics applications - Published in JOSS (2020)
IncrementalInference
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
Caesar
Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.
awesome-implicit-nerf-robotics
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
https://github.com/bytedance/schurvins
[CVPR2024] SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System
hypersensors
Implementations of common sensing modalities for computer vision.
deep-image-matching
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
rgbd-3dgs-slam
RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and camera intrinsics from RGB images alone, with optional support for additional camera information and depth maps.
depth_completion
Supervised Depth Completion of RGB-D Measurements from Reconstruction Loss
hyperslam
Modular, open-source implementations of continuous-time simultaneous localization and mapping algorithms.
https://github.com/macillas/rfnetpyslam
SYDE673 A3. Integrate RFNet (receptive field CNN) in PySLAMv2 for VO and SLAM
https://github.com/beehive-lab/kfusion-tornadovm
🎥 A Java implementation of Kinect Fusion running on Tornado VM.
rao-blackwellized-slam-smoothing
Codes for "Rao-Blackwellized particle smoothing for simultaneous localization and mapping"
tslam
TSlam : SLAM for precise AR application involving substractive object-centric fabrications.
C4DYNAMICS: The Python framework for state-space modeling and algorithm development
C4DYNAMICS: The Python framework for state-space modeling and algorithm development - Published in JOSS (2025)
symforce
Fast symbolic computation, code generation, and nonlinear optimization for robotics