JDR-public's repositories
grips
Gradient-Informed Path Smoothing for Wheeled Mobile Robots (GRIPS)
bayestracking
C++ framework for Bayesian Filter Tracking (UKF, EKF, Particles)
voxblox
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
navigation_2d
ROS nodes to navigate a mobile robot in a planar environment
Robotics-Path-Planning-03-Hybrid-A-Star
Udacity Self-Driving Car Engineer Nanodegree: Trajectroy Generation
spencer_people_tracking
Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.
TimeOptimizer
Optimal Time Allocation for Quadrotor Trajectory Generation
astar-algorithm-cpp
Implementations of the A* algorithm in C++ and C#
DecompUtil
A header only c++ package for convex decomposition using ellipsoids
sdf_tools
Builds 2D signed distance fields from images, 3D signed distance fields from pointclouds, 3D signed distance fields from Octomap, provides a lightweight signed distance field library, message types for signed distance fields, and tools to compress signed distance fields for transport.
PythonRoboticsPaper
PythonRoboticsPaper
elevation_mapping
Robot-centric elevation mapping for rough terrain navigation
occ_grid_mapping
Occupancy Grid Mapping 占用栅格地图构建算法实现《概率机器人》第9章
ooqp_eigen_interface
Eigen interface for the OOQP solver library
epic
Robotic path planning using a CUDA-optimized potential field (log-space harmonic function) solver with ROS support.
fusion-ekf
An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
fusion-ukf
An unscented Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
heron_controller
PID controller for the Heron
car_rrt_path_planning
A project that helps cars which can only turn left a lot.
diff_drive
ROS nodes for controlling and monitoring a differential drive robot.
Extended-Kalman-Filter-for-Sensor-Fusion
Extended Kalman Filters Are useful when there is an Non Linearity in the su=ystem and the estimation/prediction and measurement step requires a Jacobian matrix( first Derivative in the Taylor Series) is required to transform and work optimally.
fast_methods
N-Dimensional Fast Methods: Fast Marching, Fast Sweeping, Group Marching, Fast Iterative, etc.
dsl_gridsearch
ROS node for global path planning using D*-lite on a 2D or 3D grid.