NEU-ZJX / CartesianPlanner

Source codes related to “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems

Cartesian Planner ROS Package

C++/ROS Source Codes for "Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method" published in IEEE Trans. Intelligent Transportation Systems by Bai Li, Yakun Ouyang, Li Li, and Youmin Zhang.

Installation

1. Request ma27 linear solver code from HSL for IPOPT, follow the installation instructions from IPOPT HSL autotools.

2. Install deb package from CASADi Releases.

   sudo dpkg -i libcasadi-v3.5.5.deb

3. Clone repository to any catkin workspace and compile workspace

   cd ~/catkin_ws/src
   git clone https://github.com/libai1943/CartesianPlanner.git
   cd .. && catkin_make

Example

tits_pedestrian_static_dynamic_3.mp4

Random test case with 6 pedestrians, 3 moving vehicles and 2 static vehicles.

roslaunch cartesian_planner pedestrian_test.launch

Click anywhere in Rviz window with the 2D Nav Goal Tool to start planning.

Acknowledgement

CASADi

Special thanks to Baidu Apollo for common math libraries

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Copyright (C) 2022 Bai Li and Yakun Ouyang

Users must cite the following article if they use the source codes to conduct simulations in their new publications. Bai Li, Yakun Ouyang, Li Li, and Youmin Zhang, “Autonomous driving on curvy roads without reliance on Frenet frame: A Cartesian-based trajectory planning method,” IEEE Transactions on Intelligent Transportation Systems, available at https://doi.org/10.1109/TITS.2022.3145389, accepted, 2022.