Malicious UAV Detection Using Integrated Audio and Visual Features for Public Safety Applications
<p dir="ltr">Unmanned aerial vehicles (UAVs) have become popular in surveillance, security, and remote monitoring. However, they also pose serious security threats to public privacy. The timely detection of a malicious drone is currently an open research issue for security provisioni...
Saved in:
| Main Author: | Sonain Jamil (20278065) (author) |
|---|---|
| Other Authors: | Fawad (20278068) (author), MuhibUr Rahman (18174361) (author), Amin Ullah (12015113) (author), Salman Badnava (16864356) (author), Masoud Forsat (14158980) (author), Seyed Sajad Mirjavadi (20278071) (author) |
| Published: |
2020
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Malicious URL and Intrusion Detection using Machine Learning
by: Hamza, Amr
Published: (2024) -
Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach
by: Zubair Saeed (19325647)
Published: (2024) -
Drone Tracking Based on the Fusion of Staring Radar and Camera Data: An Experimental Study
by: De Rouchechouart, Maxence
Published: (2023) -
AUS-UAV HILS Setup of Dynamic Flight Path Planning
by: Hasan, Mohammed Mahedi
Published: (2006) -
Control Barrier Function Approach for Safe UAVs Control in Complex Environments
by: unknown
Published: (2020)