diff --git a/README.md b/README.md index 1afb4a37..7ab44fba 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,6 @@ Python codes for robotics algorithm. - # Table of Contents * [Requirements](#requirements) * [How to use](#how-to-use) @@ -469,25 +468,38 @@ Ref: - [Automatic Steering Methods for Autonomous Automobile Path Tracking](https://www.ri.cmu.edu/pub_files/2009/2/Automatic_Steering_Methods_for_Autonomous_Automobile_Path_Tracking.pdf) - ## Rear wheel feedback control Path tracking simulation with rear wheel feedback steering control and PID speed control. ![PythonRobotics/figure_1.png at master · AtsushiSakai/PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/rear_wheel_feedback/animation.gif) +Ref: + +- [A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles](https://arxiv.org/abs/1604.07446) + + ## Linear–quadratic regulator (LQR) steering control Path tracking simulation with LQR steering control and PID speed control. ![PythonRobotics/figure_1.png at master · AtsushiSakai/PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/lqr_steer_control/animation.gif) +Ref: + +- [ApolloAuto/apollo: An open autonomous driving platform](https://github.com/ApolloAuto/apollo) + + ## Linear–quadratic regulator (LQR) speed and steering control Path tracking simulation with LQR speed and steering control. ![3](https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/lqr_speed_steer_control/animation.gif) +Ref: + +- [Towards fully autonomous driving: Systems and algorithms \- IEEE Conference Publication](http://ieeexplore.ieee.org/document/5940562/) + ## Model predictive speed and steering control @@ -499,6 +511,12 @@ This code uses cvxpy as an optimization modeling tool. - [Welcome to CVXPY 1\.0 — CVXPY 1\.0\.0 documentation](https://cvxgrp.github.io/cvxpy/index.html) +Ref: + +- [Vehicle Dynamics and Control \| Rajesh Rajamani \| Springer](http://www.springer.com/us/book/9781461414322) + +- [MPC Course Material \- MPC Lab @ UC\-Berkeley](http://www.mpc.berkeley.edu/mpc-course-material) + # License