ARCC-Vision: Autonomous Rescue Coordination with Computer Vision and RTK Integration

Project Background & Description


The first 72 hours after a disaster, known as the "Golden 72 Hours," are crucial for rescuing survivors. Traditional search and rescue methods can be slow and hampered by hazardous conditions. Our project, ARCC-Vision, aims to revolutionize disaster response with autonomous technology.

ARCC-Vision combines a mobile rover and a quadcopter. The rover navigates the disaster site using GPS, while the quadcopter uses computer vision to quickly identify and locate survivors. This system is faster, safer, and potentially more cost-effective than traditional methods, particularly in challenging environments inaccessible to human rescuers. ARCC-Vision addresses the urgent need for efficient survivor detection within the critical post-disaster window. It has the potential to bridge the technological gap between nations during emergency response, saving lives and optimizing relief efforts.

Key Benefits


Efficient

Cost-Effective

Improved Accuracy

Better Resource Allocation

Key Technologies Used


Autonomous Vehicle Control

Global Navigation Satellite System (GNSS)

Quasi-Zenith Satellite System (QZSS)

Integration of GNSS/QZSS

Students


KOH JUN YANG, JOSHUA

a picture of me

Supervisor


Nami Imanishi (Ms)


Industry Partner


National Institute of Technology, Kitakyushu College