Autonomous Drones Developed by Chinese- AI Drones Navigate Forests Autonomously

 

Autonomous Drones Developed by Chinese- AI Drones Navigate Forests Autonomously

 

This is a part of an experiment leading by:

Zhou Xin Ph.D. Student   

&

Gao Fei Ph.D. SUPERVISOR

College of control science and Engineering

ZHEJIANG UNIVERSITY.

  

A fleet of AI -powered miniature drones.

Navigate tight spaces and complex environment without any human input.

 

While traditional drones require skilled operators to control their flight with a remote controller

but we have chosen to let the drones make their own decisions, granting them the ability to perceive

and observe the environment, make decisions, and exercise control without human intervention.

 

With the help of AI algorithms, the drones can acquire the environmental information with their sensors, acting as their "EYES", and generate a 3d map of the surroundings.

Leveraging this 3D map, the drones can navigate freely and ensure Collison-free- movement.

 

Moreover, collaborative algorithms have been developed to facilitate recognition and understanding among multiple drones, allowing for effective control of the entire fleet.

 

 For example, the drones can assist post- earthquake search and rescue efforts or firefighting operations.

They can even accurately locate each tree in the Forest environment and evaluate their growth status.

 

These autonomous drones can navigate through a bamboo forest in China.

The drone swarm is the first to successfully fly outside in an uncontrolled environment.

 

The technology can help with the aerial mapping for disaster relief.