An optimization-based multi-sensor state estimator
Repository Index
47,133 repositories indexed
1–12 of 12 · Most stars
Behavior Trees Library in C++. Batteries included.
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
AI-IMU Dead-Reckoning
- imu
- state-estimation
- inertial-odometry
- localization
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
- self-driving-car
- tensorflow
- reinforcement-learning
- unreal-engine
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.
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
- visual-inertial-odometry
- msckf
- localization
- ekf-mono-slam
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
- slam
- robotics
- state-estimation
- visual-slam
An Event-Driven, Asynchronous, Behavioral State Machine Library for ROS (Robotic Operating System) applications written in C++
- state-machine
- ros
- ros-packages
- navigation
TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.
RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.
- robotics
- graphical-programming
- state-machine