Autonomous Drifting using Reinforcement Learning
source [full path to setup.bash]
in your .bashrc)The first time you open Gazebo, it will download all models from the Gazebo servers, which may take some time. Run rosrun gazebo_ros gazebo
to run Gazebo and install models.
To run | Command |
---|---|
ROS Core | roscore |
Gazebo Simulator | roslaunch drift_car_gazebo drift_car.launch |
Controller | roslaunch drift_car_gazebo_control drift_car_control.launch |
Keyboard Teleop | rosrun drift_car_gazebo_control teleop_gazebo.py |
Joystick Gazebo Controller | rosrun drift_car_gazebo_control joystick_gazebo.py |
Joystick Car Controller | rosrun drift_car_gazebo_control joystick_car.py |
Double Dueling Deep Q-Network | rosrun drift_car main.py |
rosrun drift_car_env matlab_bridge.py
.drift_car_learn
.applyController
.To run using the Monster Truck, rosed drift_car_gazebo drift_car.launch
and toggle the comments to load truck.xacro.urdf
.
# Awesome Autonomous Vehicles: A curated list of awesome autonomous vehicles resources, inspired by awesome-php. Contributing Please feel free to send me pull requests to add links. Table of Contents
The past few years have seen active development in autonomous driving by organisations and academia. One of the standard practices in autonomous driving is developing and validating prototypes of driv
自动驾驶系统是一种通过使用传感器、计算机视觉技术、机器学习算法等技术,使汽车在没有人类驾驶员干预的情况下自动驾驶的系统。它可以帮助驾驶员减轻疲劳,提高驾驶安全性,同时还可以实现更高效的交通流量管理。目前,自动驾驶技术仍在不断提高和完善中,未来可望普及应用于个人交通和商业运输领域。
Augmented autonomous driving simulation using data-driven algorithms ——增强现实自动驾驶仿真系 #百度增强现实自动驾驶仿真系统登上 Science 子刊 https://zhuanlan.zhihu.com/p/60798022 https://www.xianjichina.com/special/detail_392726.