An educational simulation platform for GPS-denied unmanned Aerial Vehicles aimed to the detection and tracking of moving objects

2016 ◽  
Author(s):  
Giuseppe Silano ◽  
Luigi Iannelli
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Moving Objects ◽  
Simulation Platform ◽  
Detection And Tracking ◽  
Aerial Vehicles

scholarly journals A Real-Time Method to Detect and Track Moving Objects (DATMO) from Unmanned Aerial Vehicles (UAVs) Using a Single Camera

2012 ◽  
Vol 4 (4) ◽  
pp. 1090-1111 ◽  
Author(s):  
Gonzalo R. Rodríguez-Canosa ◽  
Stephen Thomas ◽  
Jaime del Cerro ◽  
Antonio Barrientos ◽  
Bruce MacDonald
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Moving Objects ◽  
Single Camera ◽  
Aerial Vehicles

Tracking from Unmanned Aerial Vehicles

2015 ◽  
Vol 781 ◽  
pp. 491-494
Author(s):  
Channa Meng ◽  
John Morris ◽  
Chattraku Sombattheera
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Moving Objects ◽  
Light Weight ◽  
Ground Station ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Individual Tracking

We use multiple tracking agents in parallel for autonomously tracking an arbitrary target from an unmanned aerial vehicle. An object initially selected by a user from a possibly cluttered scene containing other static and moving objects and occlusions - both partial and complete - is tracked as long as it remains in view using a single light-weight camera readily installed in a UAV. We assumed, for the present, at least, that the UAV sends images to a ground station which controls it. We evaluated several individual tracking agents in terms of tracking success and their times for processing frames streamed from the UAV to the ground station at 25 fps, so that the system shoud compute results in 40ms. Histogram trackers were most successful at $\sim 10$ ms per frame which can be further optimized.

Coordinate Transformation of the Quadrotor Unmanned Aerial Vehicles’s Flight Path

2014 ◽  
Vol 568-570 ◽  
pp. 1073-1077
Author(s):  
Ming Yao ◽  
Qu Sun
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Coordinate Transformation ◽  
Flight Path ◽  
Experimental Results ◽  
Geometric Algorithms ◽  
Calculation Error ◽  
Simulation Platform ◽  
Whole Process ◽  
Aerial Vehicles ◽  
Quadrotor Unmanned Aerial Vehicles

Because of the quadrotor unmanned aerial vehicles (named as QUAV-X4) has numerous advantages, it attract more and more researchers to study it. The paper use QUAV-X4 as a object of studying, adopting Matlab as a simulation platform. According to QUAV-X4’s practical flight track, this method modularized QUAV-X4’s the whole process. Using geometric algorithms to describe QUAV-X4’s flight path to avoid calculation error when we adopt difference algorithm, realizing free combination of QUAV-X4’s flight path. Experimental results show that, this method can reflect the true QUAV-X4’s flight path.

Development of a Simulation Platform for Hybrid Unmanned Aerial Vehicles with VTOL capabilities

2021 ◽  
Author(s):  
Lorenzo Berzi ◽  
Giuseppe Mattei ◽  
Luca Pugi ◽  
Armando Casazza ◽  
Giacomo Pasqui
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Simulation Platform ◽  
Aerial Vehicles

Multi-sensor field trials for detection and tracking of multiple small unmanned aerial vehicles flying at low altitude

2017 ◽  
Author(s):  
Martin Laurenzis ◽  
Sebastien Hengy ◽  
Alexander Hommes ◽  
Frank Kloeppel ◽  
Alex Shoykhetbrod ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Field Trials ◽  
Detection And Tracking ◽  
Aerial Vehicles ◽  
Sensor Field ◽  
Low Altitude
Sign in / Sign up

Export Citation Format

Share Document