π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
- wifi
- esp32
- monitoring
- rf
Repository Index
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A Robust and Versatile Monocular Visual-Inertial State Estimator
- state-estimation
- vio
- vins
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
- estimation
- perception
- robotics
- sensorfusion
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
- velodyne
- ros
- loam-velodyne
- lidar
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
AI-IMU Dead-Reckoning
- imu
- state-estimation
- inertial-odometry
- localization
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
- slam
- robotics
- state-estimation
- visual-slam
A robust sensor fusion library for online localization.
- sensorfusion
- estimation-algorithm
- gnss
- ranging
TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.
Catkin package that provides lidar motion undistortion based on an external 6DoF pose estimation input.