Image-based Automated Framework for Detecting and Classifying Unmanned Aerial Vehicles

INIS

• applications 100%
• detection 100%
• images 100%
• cameras 100%
• unmanned aerial vehicles 100%
• datasets 100%
• cities 50%
• stochastic processes 50%
• performance 50%
• monitoring 50%
• comparative evaluations 50%
• sensors 50%
• intrusion 50%
• machine learning 50%
• stability 50%
• eyes 50%
• units 50%
• radar 50%
• mapping 50%
• space 50%
• risks 50%
• classification 50%
• lidar 50%
• safety 50%
• transportation systems 50%

Computer Science

• histogram of oriented gradient 50%