This lecture overviews Pedestrian Detection that has many applications in autonomous car vision and smart city applications. It covers the following topics in detail: Self-driving car architecture, Pedestrian state estimator, Crosswalk state estimator, CNN pedestrian detection and tracking, Pedestrian Trajectory Estimation.
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Autonomous Car Modeling and Control
This lecture overviews Autonomous Car Modeling and Control that has many applications in autonomous cars and automated driving. It covers the following topics in detail: Car Dynamic Models (Car-Body Dynamics – The Slow Dynamics, Tire Dynamics – The Fast Dynamics). Kinematic Models (System Equations, Bicycle – Car Kinematic Model). Point – Mass Models. Autonomous Vehicle Control Techniques… Continue reading Autonomous Car Modeling and Control
Autonomous Car Sensors
This lecture overviews Autonomous Car Sensors that has many applications in autonomous car perception. It covers the following topics in detail: Cameras, Lidars. Other sensors: Radars, Ultrasonic transducers, Global positioning system (GPS), Inertial measurement unit (IMU). Signal sensors: coolant temperature sensor, steering angle sensor, throttle position sensor. Traffic sensors: accelerometers, piezoelectric sensors, magnetometers, microwave radars, ultrasonic… Continue reading Autonomous Car Sensors
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.