Autonomous Cars, Drones & Electric Mobility – Top Track 2021

Course Curriculum

Chapter 1: Transportation in the 21st Centaury

Lecture 1: Key Themes in Transport in the 21st centaury

Lecture 2: Transport as a Socio-Technical System

Lecture 3: Mobility and Ways of Life | Climate Change, Environment and Transport

Lecture 4: Well To Wheel Analysis

Chapter 2: Electric Cars and Electric Mobility

Lecture 1: Introduction to Electric Cars – Part 1

Lecture 2: Introduction to Electric Cars – Part 2

Lecture 3: Electric Vehicle Charging Infrastructure – Part 1

Lecture 4: Electric Vehicle Charging Infrastructure – Part 2

Lecture 5: Electric Grid

Lecture 6: Battery Technology

Lecture 7: Electric Vehicles Policy – Part 1

Lecture 8: Electric Vehicles Policy – Part 2

Lecture 9: Transport Modes Electrification

Lecture 10: Electric Mobility Business Models – Part 1

Lecture 11: Electric Mobility Business Models – Part 2

Lecture 12: Electric Mobility Market Strategy and Finance Topics

Chapter 3: Drones – UAV in the 21st Centaury

Lecture 1: Drone Demonstration Video – 2014

Lecture 2: Introduction to the Chapter

Lecture 3: History of UAV

Lecture 4: UAV applications

Lecture 5: UAV architecture and main components

Lecture 6: Building Unmanned Aerial Vehicles

Lecture 7: Unmanned Aerial Vehicles Simulation and Control – Part 1

Lecture 8: Unmanned Aerial Vehicles Simulation and Control – Part 2

Lecture 9: Unmanned Aerial Vehicles Simulation and Control – Part 3

Lecture 10: Recent Advances Technology and Market – Part 1

Lecture 11: Recent Advances Technology and Market – Part 2

Lecture 12: Recent Advances Technology and Market – Part 3

Lecture 13: Recent Advances Technology and Market – Part 4

Chapter 4: Unmanned Aerial Vehicles Software, Simulation and Control

Lecture 1: Setting up a Software Simulated Drone.

Lecture 2: Drone Simulations and Software Projects

Lecture 3: Mission Planner Simulation and Control of a SITL Drone

Lecture 4: Inspection Drone Demonstration

Lecture 5: Multiple Drones Simulation and Software

Lecture 6: UTM Systems

Lecture 7: Advanced Unmanned Undersea Vehicles (UUV)

Chapter 5: ِAn Introduction to Autonomous Cars

Lecture 1: Introduction to Self Driving Cars

Lecture 2: The Requirements for Autonomy – Part 1

Lecture 3: The Requirements for Autonomy – Part 2

Lecture 4: Self Driving Hardware and Software Architecture – Part 1

Lecture 5: Self Driving Hardware and Software Architecture – Part 2

Lecture 6: Self Driving Hardware and Software Architecture – Part 3

Lecture 7: Self Driving Care Safety Assurance – Industry Examples – Part 1

Lecture 8: Self Driving Care Safety Assurance and Frameworks – Part 2

Lecture 9: Vehicle Kinematic Modelling

Lecture 10: Vehicle Dynamic Modelling.

Lecture 11: Vehicle Longitudinal Control

Lecture 12: Vehicle Lateral Control

Chapter 6: State Estimation, Localization and Visual Perception

Lecture 1: Introduction

Lecture 2: Squared Error and the method of least square

Lecture 3: The Kalman Filter

Lecture 4: Non-Linear Kalman Filter.

Lecture 5: Unscented Kalman Filter

Lecture 6: IMU | GNSS / INS Sensing for Pose Estimation

Lecture 7: LIDARS

Lecture 8: State Estimation in Practice

Lecture 9: 3D Computer Vision

Lecture 10: Visual Features, Descriptors and Image Matching

Lecture 11: Feed Forward Neural Network – Part 1

Lecture 12: Feed Forward Neural Network – Part 2

Lecture 13: Object Detection

Lecture 14: Semantic Segmentation

Chapter 7: Motion Planning for Self Driving Vehicle

Lecture 1: Introduction

Lecture 2: The Motion Planning Problem

Lecture 3: Mapping for Planning

Lecture 4: Graph Search Algorithms

Lecture 5: Dynamic Objects Interactions

Lecture 6: Behavior Planning System

Lecture 7: Reactive Local Planner

Lecture 8: Smooth Local Planning

Chapter 8: Autonomous Cars Code and Simulation – Practical Section

Lecture 1: Python and Numpy Revision

Lecture 2: OpenCV and Lane Detection Revision

Lecture 3: Machine Learning and KERAS – Revision

Lecture 4: MutliClassObject Classification, MNIST and CNN – Revision

Lecture 5: Application 1: Traffic Sign Classification

Lecture 6: Application 2: Driver Behavior Cloning in a Simulated Environment

Lecture 7: Application 3: 2D Controller Design – Demonstration

Lecture 8: Application 3 – 2D-Controller – Systems to Code Session

Lecture 9: Application 4: Motion Planning for Self Driving Vehicle – Demo

Lecture 10: Application 4 : Systems to Code Session

Chapter 9: Innovation Wednesdays

Lecture 1: Autonomous Vehicles Innovation Eco System

Lecture 2: Electric Vehicles Innovation Ecosystem

Lecture 3: Drones Innovation Ecosystem

Lecture 4: Research Trends in Autonomous Vehicles

Lecture 5: Legal Aspects of Autonomous Cars Manufacturing and Operation

Lecture 6: Utilization Autonomous Vehicles Technology for Guided BRT

Lecture 7: Amman BRT | Experience and Utilization | Discussion on the Concept

Lecture 8: We will continue after the 20th of September 2021

Lecture 9: The benefits of Open Source Autonomous Vehicles Software

Lecture 10: Examples of Open Source Resources in the AV Space

Lecture 11: Starting out with LIDARS