# Assistive-Racing **Repository Path**: gchasing/Assistive-Racing ## Basic Information - **Project Name**: Assistive-Racing - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-05-19 - **Last Updated**: 2025-05-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Assistive-Racing We propose a trajectory-based flight assistive system specifically designed for assisting drone racing that ensures the timeliness of executing user intents in high-speed scenarios, while maintaining accurate intent capture. **[ICRA 2024]** Open source code for paper **A Trajectory-based Flight Assistive System for Novice Pilots in Drone Racing Scenario** Video Links: [Bilibili](https://www.bilibili.com/video/BV13w411Y7un/?spm_id_from=333.999.0.0&vd_source=6ecd26e8a45e64856bbd969850e00d6f).

## 1. Quick Start The project has been tested on Ubuntu 20.04(ROS Noetic). run the following commands to setup: ``` git clone https://github.com/ZJU-FAST-Lab/Assistive-Racing.git catkin_make ``` jsk-rviz-plugins is used to simulate the FOV in rviz, and joy package is used to receive user input. you can install them by running the following commands: ``` sudo apt-get install ros-noetic-jsk-rviz-plugins sudo apt-get install ros-noetic-joy ``` **before running code, ensure joystick is connect to your pc successfully!** Firstly, generate the optimal reference trajectory and flight corridors offline: ``` roslaunch map_generator offline_generate.launch ``` check if generated files exist in plan_manage/offlines, then run the following command to start flying: ``` roslaunch plan_manage test.launch ``` trigger the 5 channel on your joystick to start fly! **Attention**: We provide the param files for Blacksheep joystick and XBOX joystick, you can check the joystick type in test.launch, for other joystick, you need to modify the realted param files. ## 2. Load your own map our code support loading your own map, you can place your map(.pcd) in plan_manage/pcd/, and your gate information(gate.yaml) in plan_manage/config/. Then running the code agian to fly in your own map! ## 3. Acknowledgement We use [**MINCO**](https://github.com/ZJU-FAST-Lab/GCOPTER) as our trajectory representation. and We use [**DecompROS**](https://github.com/sikang/DecompROS) for safe flight corridor generation and visualization.