Discover kbmajeed/endangered_species_dronetracking Open Source project

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MATLAB
Created over 5 years ago
Updated almost 2 years ago

kbmajeed

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Backstepping and Proportional-Derivative (PD) methods was used for the control of a quadrotor unit and subsequently proposed for autonomous tracking of an endangered species; the ’Northern white rhino’. Extended Kalman Filter (EKF) estimation was applied for the localization of the rhino in a virtual wildlife reserve.

adrc_quadrotor

ADRC uses an Extended state observer to linearize the Quadrotor's Nonlinear dynamics (similar to Feedback linearization). This makes it capable of eliminating disturbances (robustness).

MATLAB

exposure_fusion

Exposure fusion is a technique that creates a single image with optimal detail from a set of multi-exposed images. As developed by Tom Mertens et al., the proposed algorithm computes relevant quality measures; Contrast, Saturation, and Well-Exposedness. These measures are then combined to create a weight map used to blend each of the multi-exposed images to a single image with best exposure.

Python

adaptive_adrc

The altitude control of a quadrotor unmanned aerial vehicle is treated using its altitude dynamics in hover mode. An LMS-based Adaptive Active disturbance rejection control (AADRC) is proposed to compensate for disturbance effects resulting in smoother control.

MATLAB

backstepping_quadrotor

Backstepping is a Nonlinear controller based on Lyapunov functions. Four controllers are developed for the Altitude, Yaw, Pitch, and Roll attitudes of the quadrotor.

MATLAB