ADR Awareness Centre

This lecture overviews various drone mission simulator architectures, notably AirSim and Gazebo.

This lecture overviews Mathematical Analysis  that has many applications in Computer Vision, Machine Learning and Autonomous Systems.

This lecture overviews Set Theory that has many applications in Probability/Statistics, Machine Learning and Computer Vision.

This lecture overviews Drone Communication Networks that has many applications in autonomous drones.

This lecture overviews Video Captioning that has many applications in video description, search and retrieval. It covers the following topics in detail: Video captioning definitions and datasets.

This lecture provides an Introduction to Statistics that has many applications in Data Analytics, Machine Learning and Signal Analysis. It covers the following topics in detail: Random Variables. Data Types. Data Sampling.

This lecture overviews Geometric Spaces that has many applications in Machine Learning and Digital Signal Processing and Analysis. It covers the following topics in detail: Vector Spaces, Affine Spaces, Metric Spaces.

This lecture overviews Linear Algebra that has many applications in Machine Learning, Computer Vision and Scientific Computing.

This lecture overviews  Z Transform that has many applications in signal processing and systems theory.

This lecture overviews Signal Sampling that has many applications in signal acquisition, processing and analysis.

This lecture presents Laplace Transform (LT) and its region of convergence.  Its relation to Laplace transform is presented. Notable LT properties are reviewed: time shift, convolution, signal differentiation/integration.

This lecture overviews State –Space Equations that has many applications in digital filters, systems theory and deep learning.