abdabdul
Software Developer, Model Predictive Control, Kalman Filters, Trajectory Planning and Following, Ego Motion Compensation
Pinned Repositories
acado
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
adore
Adore project
autoware
Autoware - the world's leading open-source software project for autonomous driving
carla
Open-source simulator for autonomous driving research.
carla-autoware
Integration of AutoWare AV software with the CARLA simulator
carla-ros-bridge
ROS bridge for CARLA Simulator. Goes with fork of Carla simulator.
casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
core_planning
do-mpc
Model predictive control python toolbox
Dynamics-and-Control
Jupyter notebooks for Dynamics and Control
abdabdul's Repositories
abdabdul/acado
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
abdabdul/adore
Adore project
abdabdul/autoware
Autoware - the world's leading open-source software project for autonomous driving
abdabdul/carla
Open-source simulator for autonomous driving research.
abdabdul/carla-autoware
Integration of AutoWare AV software with the CARLA simulator
abdabdul/carla-ros-bridge
ROS bridge for CARLA Simulator. Goes with fork of Carla simulator.
abdabdul/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
abdabdul/core_planning
abdabdul/do-mpc
Model predictive control python toolbox
abdabdul/Dynamics-and-Control
Jupyter notebooks for Dynamics and Control
abdabdul/frenet
Transform Frenet (s,d) to local Cartesian (x,y) coordinates.
abdabdul/kalman
*THIS FORK IS UPDATED REGULARLY* Header-only C++11 Kalman Filtering Library (EKF, UKF) based on Eigen3
abdabdul/mapviz
Modular ROS visualization tool for 2D data.
abdabdul/MapViz-Tile-Map-Google-Maps-Satellite
ROS Offline Google Maps for MapViz
abdabdul/moveit
:robot: The MoveIt motion planning framework
abdabdul/moveit2
:robot: MoveIt for ROS 2
abdabdul/MPCC
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
abdabdul/navigation.ros.org
https://navigation.ros.org/
abdabdul/omg-tools
Optimal Motion Generation-tools: motion planning made easy
abdabdul/osqp
The Operator Splitting QP Solver
abdabdul/PNGuidance
abdabdul/PythonRobotics
Python sample codes for robotics algorithms.
abdabdul/SelfDrivingCars
University of Toronto
abdabdul/separating_planes_trajectory
Implementation of the trajectory planning optimisation method presented in the following paper: https://hal.archives-ouvertes.fr/hal-01639745
abdabdul/studio
Robotics visualization and debugging