Assessment of Vision-Based Target Detection and Classification Solutions Using an Indoor Aerial Robot
Abstract
The role of unmanned aerial vehicles (UAVs) in military, commercial and recreational applications is continuously evolving as developments in technology increase capabilities. The research herein presents an inexpensive computer-vision-based solution for detection and classification of a stationary target with a mobile aerial sensor as a prototyping platform. The main goal of this system is to use commercial-off-the-shelf and open-source components to reduce design complexity to provide a legacy product for future development of specific capabilities. Color imagery collected during flight using a low-resolution camera is used to test the application of a simple algorithm against a commercially available and low cost sensor. Original image processing algorithms that leverage the existing body of works in the open-source community are developed and tested within the Systems Engineering construct. System architecture leverages a modular approach that can be easily modified and adapted to changing requirements and objectives. Conclusions are drawn and recommendations for further study and system development are presented.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2014
- Accession Number
- ADA620534
Entities
People
- Nicole R. Ramos
Organizations
- Naval Postgraduate School