AS_Challange

Working Students of Team 11

1. Siyan Li
2. Bingkun Huang
3. Zhenjiang Li
4. Haowen Shi
5. Weili Tang

Project description

This project is part of the Sub-Terrain Challenge in the Autonomous Systems course at TUM. The objective is to develop a system that can autonomously explore a cave environment, detect and locate four objects of interest (lights), and generate a 3D voxel-grid or mesh representation of the environment. The implementation involves a ROS-based framework, integrating perception, path planning, and control using a quadrotor and a Unity-based simulation.

Components

How to:

1. Download the code from the link (since some large file in Simulation is not uploaded into GitHub).

2. cd into the workspace

3. run catkin build

4. run ./start.sh