Introduction to Autonomous Car Vision

Introduction to Autonomous Car Vision

In this lecture, an overview of the autonomous car technologies will be presented (structure, HW/SW, perception), focusing on car vision. Examples of autonomous vehicle will be presented as a special case, including its sensors and algorithms. Then, an overview of computer vision applications in this autonomous vehicle will be presented, such as visual odometry, lane… Continue reading Introduction to Autonomous Car Vision

PID Controllers

This lecture overviews PID Controllers that has many applications in automatic control, industrial processes and robotics. It covers the following topics in detail:  Origins, PID Controller Definition, Controller operation, Structure, Equations and constants, Control parameters, PID in real life: Drone control, Simulations.

Robot Kinematics and Dynamic Modeling

This lecture overviews Robot Kinematics and Dynamic Modeling that has many applications in robotic control. It covers the following topics in detail: Robot Kinematics: Kinematic Equations, Forward kinematics, Inverse kinematics, Rotations. Dynamic Modeling, Robot Dynamics. Foundations from Classical Mechanics, Newton-Euler Method, Lagrange Method.

Introduction to ROS

This lecture overviews Introduction to ROS that has many applications in robotics and autonomous systems development. It covers the following topics in detail: ROS Distributions, HW, installation, architecture, master/nodes, communication (messages/topics), ROS tools (Catkin, rqt_graph, OpenCV Library, Gazebo).

State – Space Equations

This lecture overviews State –Space Equations that has many applications in digital filters, systems theory and deep learning. It covers the following topics in detail: Multiple Input-Output Systems, Single Input-Output Systems, IIR state-space system implementation, RNNs.

Fast Fourier Transform

This lecture overviews Fast Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation. It covers the following topics in detail: Transition from DFT to FFT, Decimation in Time (DIT) FFT, Decimation in Frequency (DIF) FFT, FFT Computation issues, Goertzel Algorithm, Bluestein Algorithm.