Autonomous Unmanned Aerial Vehicle for Post-Disaster Management With Cognitive Radio Communication

Unmanned aerial vehicles (UAV) play a significant role in finding victims affected in the post-disaster zone, where a man cannot risk his life under a critical condition of the disaster environment. The proposed design incorporates autonomous vision-based navigation through the disaster environment...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of ambient computing and intelligence Vol. 12; no. 1; pp. 29 - 52
Main Authors Raja Guru R, Naresh Kumar P
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.01.2021
Subjects
Accuracy
Autonomous navigation
Cameras
Cognitive radio
Collision avoidance
Disaster management
Disaster recovery
Disasters
Drone aircraft
Embedded systems
Emergency management
Equipment and supplies
Graph theory
Image processing
Radio communications
Radio networks
Range finders
Unmanned aerial vehicles
Vehicles
India
Online AccessGet full text

Cover

More Information
Summary:Unmanned aerial vehicles (UAV) play a significant role in finding victims affected in the post-disaster zone, where a man cannot risk his life under a critical condition of the disaster environment. The proposed design incorporates autonomous vision-based navigation through the disaster environment based on general graph theory with dynamic changes on the length between two or multiple nodes, where a node is a pathway. Camera fixed on it continuously captures the surrounding footage, processing it frame by frame on-site using image processing technique based on a SOC. Identifies victims in the zone and the pathways available for traversal. UAV uses an ultrasonic rangefinder to avoid collision with obstacles. The system alerts the rescue team if any victim detected and transmits the frames using CRN to the off-site console. UAV learns navigation policy that achieves high accuracy in real-time environments; communication using CRN is uninterrupted and useful during such emergencies.
ISSN:1941-6237
1941-6245
DOI:10.4018/IJACI.2021010102