VOAMAIS
Computer Vision for the Operation of Unmanned Aerial Vehicles in Maritime and Wildfire Scenarios
Mission of the Project
The primary objective of the project is to develop novel methods for target detection and tracking in airborne and seaborne image sequences. The availability of low-cost visual sensors (visible and IR), and the recent developments on convolutional neural-networks and correlation filters for image and video processing, are promising cost-effective and energy-efficient solutions for detection and tracking of targets capable of running on-board of air or sea vehicles. The results of the project can have a direct impact on strategic national activities such as ocean and forest monitoring. To demonstrate the applicability of the methods, three case scenarios will be considered: (i) the detection of forest fires from airborne images, (ii) the detection and tracking of sea vessels from airborne and seaborne images, and (iii) the detection, tracking and pose estimation of aircrafts from seaborne images for tele-guidance of unmanned aerial vehicles (UAV's).
Scenario 1
Detection of forest fires from airborne images
Scenario 2
Detection and tracking of sea vessels from airborne and seaborne images
Scenario 3
Detection, tracking and pose estimation of aircrafts from seaborne images
Partners
ISR/IST
Institute for Systems and Robotics, Instituto Superior TĂ©cnico
CIAFA
Air Force Academy Research Centre
CINAV
Navy Research Centre
Funding
FCT: PTDC/EEI-AUT/31172/2017
P2020: SAICT-45-2017-02
LISBOA-01-0145-FEDER-031172