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Autonomous Cars, Drones & Electric Mobility - Top Track 2021

Name: Autonomous Cars, Drones & Electric Mobility - Top Track 2021
Rating: 4.3 (39 reviews)

A ZERO to HERO Course on Autonomous Cars, Drones and Electric Mobility. Theory, Simulation and Code Writing.

Created byFeras Naser

Last updated 9/2025

English

What you'll learn

Autonomous Cars Design and Development (Automotive Engineering)
Visual Perception Design using Computer Vision & Deep Learning.
State Estimation for Autonomous Cars (LIDAR, IMU and GPS)
Motion Planning for Autonomous Cars
The Automotive and Autonomous Cars Industry
Drones Design and Development
Writing Software for Drones Control
Drones Simulation
Electric Mobility Technology
Electric Cars Policy
Practical Application and Tutorials in the Autonomous Cars Industry

Course content

10 sections • 97 lectures • 21h 53m total length

Introduction9:34
In this video, we will introduce our main chapters and we will talk about the lecturer.

•Chapter 1 – Transportation in the 21st century.
•Chapter 2 – Electric Mobility.
•Chapter 3 – Drones – UAV in the 21st Centaury.
•Chapter 4 – Drones – Software and Simulation.
•Chapter 5 – Autonomous Cars – Introduction.
•Chapter 6 – Autonomous Cars – Fundamentals. .
•Chapter 7 – Autonomous Cars – Motion planning.
Chapter 8 –Autonomous Cars -Software and Simulation
Key Themes in Transport in the 21st centaury9:34
In this Video You will learn about Key Themes that shape our Transport Future, specifically, you will learn about:

1- Electric Mobility.
2- Autonomous Systems - Drones.
3- Autonomous Cars and Connected Vehicles.

4- Other Trends (Walking, Cycling, ITS, Transport as a Complex Adaptive System, New Forms of Propulsion, Robotics).
Transport as a Socio-Technical System7:20
In this section you will learn about Transport as a Socio-Technical System.

- Urbanization.
- Technology Transition.
Mobility and Ways of Life | Climate Change, Environment and Transport11:49
In this section, you will learn about Mobility as a way of Life.

1- Mobility and Ways of Life. (Income, Age, Health and Wellbeing)
2- Climate Change, Environment and Transport.
3- Transport System and Co2 Emissions
Well To Wheel Analysis11:31
In this section you will learn about Well to Wheel Analysis:-

1- Well To Wheel.
2- Wheel to Tank.
3- Well to Wheel Analysis (Conventional Vs Electric vehicles)

Introduction to Electric Cars - Part 19:36
In this section, we will talk about the following topics:

1- Electric Cars, Market Projections.
2- Electric Cars Examples.
3- Drive Train
Introduction to Electric Cars - Part 29:13
In this section, we will talk about the following topics:

1- Electric Cars, Market Projections.
2- Electric Cars Examples.
3- Drive Train
Electric Vehicle Charging Infrastructure - Part 18:56
In this section will be taking about the electric Vehicles Charging Infrastructure:-

1- Introduction to Charging Infrastructure
2- Advanced Notes on Electric Vehicles Charging
3- Types of Chargers and Standardization.
4- Charging Policy and Deployment.
5- Case Study 1 : France
6- Case Study 2 : Norway
Electric Vehicle Charging Infrastructure - Part 26:18
In this section will be taking about the electric Vehicles Charging Infrastructure:-

1- Introduction to Charging Infrastructure
2- Advanced Notes on Electric Vehicles Charging
3- Types of Chargers and Standardization.
4- Charging Policy and Deployment.
5- Case Study 1 : France
6- Case Study 2 : Norway
Electric Grid9:34
In this section, we will be talking on the Electric Grid:

1- Sources of Energy for Electrical Vehicles.
2- The change in demand for Electrical Vehicles.
Battery Technology10:38
In this section will be taking about Battery Technology:

1- Types of Energy Storage System.
2- Predictions on Battery Technology.
3- Materials on Battery Technology.
4- Battery Reuse.
5- Battery Business
Electric Vehicles Policy - Part 110:43
In this section we will be taking about Electric Vehicles Policy:

1- Public Policy Types.
2- Example of Public Policy for Electric Cars from Around the World.
3- Case Study : California.
4- Case Study: China.
5- Case Study: France.
6- Case Study: Norway
Electric Vehicles Policy - Part 28:52
In this section we will be taking about Electric Vehicles Policy:

1- Public Policy Types.
2- Example of Public Policy for Electric Cars from Around the World.
3- Case Study : California.
4- Case Study: China.
5- Case Study: France.
6- Case Study: Norway
Transport Modes Electrification13:08
In this section we will be taking about Transport Modes Electrification:

1- Aviation Electrification.
2- Ships and Sea ports Electrification.
Electric Mobility Business Models - Part 16:22
In this section we will be taking about Transport Modes Business Models:

1- Policy Level Cost and Return on Investments Calculations.
2- Business Models Examples Around Electric Vehicles.
3- Prices and Types of Electric Vehicles in 2021.
4- Car Sharing.
5- Electric Mobility for the Bottom of the Pyramid.
6- Big Data Use in Electric Vehicles Business Models. (i.e Smart Charging, Predictive Maintenance).
Electric Mobility Business Models - Part 28:05
In this section we will be taking about Transport Modes Business Models:

1- Policy Level Cost and Return on Investments Calculations.
2- Business Models Examples Around Electric Vehicles.
3- Prices and Types of Electric Vehicles in 2021.
4- Car Sharing.
5- Electric Mobility for the Bottom of the Pyramid.
6- Big Data Use in Electric Vehicles Business Models. (i.e Smart Charging, Predictive Maintenance).
Electric Mobility Market Strategy and Finance Topics10:58
In this section, we will be talking about Electric Mobility Market Strategy and Finance:

1- The Electric Car Industry (Upstream and Downstream).
2- Notes on the Economic Case.
3- Electric Mobility Finance and Strategy.

Drone Demonstration Video - 20142:16
In this section, you will see the Prototype for UAV that was designed to be on demand service drone, for supporting in railway accidents.

This drone was made in 2014. By Feras Naser and his leadership.
Introduction to the Chapter2:58
In this section, we will provide a general introduction to the section mentioning the topics that we will be talking about which will be :-

•History of UAV.
•UAV applications
•UAV main components.
•Building Unmanned Aerial Vehicles.
•Unmanned Aerial Vehicles Simulations
•Recent Advances in the Technology.
History of UAV13:29
In this section I will talk about Drone Historical Developments:

1- After WW2 Drone Development.
2- Peak Period After 1990.
3- The development of open source flight controllers.
UAV applications11:01
In this section I will talk about UAV applications :

1- Hobby Drones.
2- Industrial Drones (Agriculture, Inspection, Security, Designers).
3- Drones Startups
UAV architecture and main components7:16
In this section I will talk about UAV applications :

1- Main Drone Architecture
2- Drone Components
3- Drone Kit and Drone Software
Building Unmanned Aerial Vehicles9:29
In this section I will talk about Building Unmanned Aerial Vehicles :

1- Ready Made Drones
2- Main Components to Source
2- Notes on Drone Assembly.
3- Flight Control Systems
Unmanned Aerial Vehicles Simulation and Control - Part 17:56
Unmanned Aerial Vehicles Simulation and Control - Part 26:26
In this section I will talk about Building Unmanned Aerial Vehicles Simulation :

1- Simulation Packages
2- Mission Planner : Mission Planner Components
Unmanned Aerial Vehicles Simulation and Control - Part 39:09
In this section I will talk about Building Unmanned Aerial Vehicles Simulation :

1- Simulation Packages
2- Mission Planner : Mission Planner Components
Recent Advances Technology and Market - Part 111:41
In this section, we will talk about Advancements in Drone Technology:

1- Drones Regulation
2- Drones Regulations Countries Case Studies
3- Advances in Drones Technology.
4- Counter Drone Solutions.
5- Passenger Drones and Unmanned Traffic Management Systems
Recent Advances Technology and Market - Part 29:33
In this section, we will talk about Advancements in Drone Technology:

1- Drones Regulation
2- Drones Regulations Countries Case Studies
3- Advances in Drones Technology.
4- Counter Drone Solutions.
5- Passenger Drones and Unmanned Traffic Management Systems
Recent Advances Technology and Market - Part 35:55
In this section, we will talk about Advancements in Drone Technology:

1- Drones Regulation
2- Drones Regulations Countries Case Studies
3- Advances in Drones Technology.
4- Counter Drone Solutions.
5- Passenger Drones and Unmanned Traffic Management Systems
Recent Advances Technology and Market - Part 49:44
In this section, we will talk about Advancements in Drone Technology:

1- Drones Regulation
2- Drones Regulations Countries Case Studies
3- Advances in Drones Technology.
4- Counter Drone Solutions.
5- Passenger Drones and Unmanned Traffic Management Systems

Setting up a Software Simulated Drone.13:05
In this section we will demonstrate how you can design and develop a drone simulated drone.

1- Simulation Packages.
2- Setting Up A Software Simulated Drone.
3- Drone Open Source And Software Projects.
Drone Simulations and Software Projects5:16
In this section we will demonstrate how you can design and develop a drone simulated drone.

1- Drone Open Source And Software Projects.
2- Drone Software Simulation Projects.
Mission Planner Simulation and Control of a SITL Drone9:35
In this video, you will see a demonstration how we have managed to send commands to an UAV through the command line
Inspection Drone Demonstration0:44
Multiple Drones Simulation and Software8:31
In this section we will demonstrate how you can design and develop a drone simulated drone.

1- Multiple Drones Simulation.
2- Swarm Drones Simulation and Software.
UTM Systems10:52
In this section we will demonstrate how you can design and develop a drone simulated drone.

1- Unmanned Traffic Management Systems.
Advanced Unmanned Undersea Vehicles (UUV)7:10
In this section we will demonstrate how you can design and develop a drone simulated drone.

1- Unmanned Traffic Management Systems.
2- Advanced Unmanned Undersea Vehicles.

Introduction to Self Driving Cars16:36
In this section we will provide a quick introduction to the autonomous cars.

1- The Dream of Self Driving Cars.
2- Benefits of Self Driving Cars.
The Requirements for Autonomy - Part 17:31
In this section we will provide a quick introduction to the levels of Autonomy.

1- Autonomy Taxonomy.
2- Autonomy Challenges.
3- Driving Decisions.
The Requirements for Autonomy - Part 210:14
Self Driving Hardware and Software Architecture - Part 111:04
In this section we will provide a quick introduction to Self Driving Cars Hardware and Software:

1- Self Driving Cars Hardware (IMU, GPS, LIDAR and Cameras, Computing Hardware)
2- Self Driving Cars Software Stacks (The Supervisor, Environment Mapping, Environment Perception)
Self Driving Hardware and Software Architecture - Part 213:27
In this section we will provide a quick introduction to Self Driving Cars Hardware and Software:

1- Self Driving Cars Hardware (IMU, GPS, LIDAR and Cameras, Computing Hardware)
2- Self Driving Cars Software Stacks (The Supervisor, Environment Mapping, Environment Perception)
Self Driving Hardware and Software Architecture - Part 311:16
Self Driving Care Safety Assurance - Industry Examples - Part 113:47
In this section we will provide a quick introduction to Self Driving Cars Safety Assurance

1 - Accidents Reports
2 - Key Safety Frameworks
3- Key Concepts in Safety Assurance. (HAZOP, Fault Tree Analysis, Safety of Intended Functionality (SOTIF) )
4- Google Waymo and GM Cruise
Self Driving Care Safety Assurance and Frameworks - Part 210:09
Vehicle Kinematic Modelling14:07
In this section we will provide a quick introduction to Kinematic Modelling

1 - Understanding Coordinates and Reference Frames.
2 - Understanding how to make projection and Transition for different Reference Frames.
3- Transformation and Rotation.
4- Nonholonomic Constraint Equation.
5- State Based Models.
Vehicle Dynamic Modelling.26:23
In this section we will provide a quick introduction to Dynamic Modelling

1 - Steps to Build a Dynamic Model
2 - Translational Systems
3- Vehicle Shock Absorber
4- Rotational Systems
5- Full Dynamics Modelling, Longitudinal Dynamics Model, Lateral Dynamics Model
Vehicle Longitudinal Control29:50
In this section we will provide a quick introduction to Longitudinal Vehicles Modelling

1 - Longitudinal Vehicle Controller.
2 - Longitudinal Speed Controller with PID.
3- Longitudinal Speed Controller with PID (FeedForward PID)
Vehicle Lateral Control37:54
In this section we will provide a quick introduction to Longitudinal Vehicles Modelling

1 - Vehicle Lateral Controller.
2 - Geometric Lateral Controller - Pure Pursuit Controller.
3- Geometric Lateral Controller - Stanley Controller
4- Advanced Steering Controller - MPC

Introduction4:33
In this section will provide a general introduction to the chapter that will cover the following topics:0

•Section 6.1 – Squared Error and the method of least square
•Section 6.2 – The Kalman Filter.
•Section 6.3 – Non-Linear Kalman Filter.
•Section 6.4 – GNSS / INS Sensing for Pose Estimation.
•Section 6.5 – Pose Estimation from Lidar Data.
•Section 6.6 – An Autonomous Vehicle State Estimator
•Section 6.7 – Visual Perception
•Section 6.8 – Basics of 3D Computer Vision.
•Section 6.9 – Visual Features – Detection, Description and Matching
•Section 6.10 – Feed Forward Neural Networks.
•Section 6.11 - Object Detection in 2D.
•Section 6.12 - Semantic Segmentation.
Squared Error and the method of least square15:24
The Kalman Filter13:19
Non-Linear Kalman Filter.14:52
Unscented Kalman Filter16:11
IMU | GNSS / INS Sensing for Pose Estimation13:22
LIDARS19:02
State Estimation in Practice17:19
3D Computer Vision21:54
Visual Features, Descriptors and Image Matching27:35
Feed Forward Neural Network - Part 122:58
Feed Forward Neural Network - Part 219:10
Object Detection31:06
Semantic Segmentation16:54

Python and Numpy Revision42:27
In this section will do a quick review of Python and Numpy Libraries so we can build our perception stack for our autonomous Vehicle.
OpenCV and Lane Detection Revision17:04
In this video, We will make a quick revision on OpenCV and Lane Detection.

Please make sure that you look at the code and apply it accordingly.
Machine Learning and KERAS - Revision27:44
In this video, we have made a revision of Machine Learning and KERAS.
MutliClassObject Classification, MNIST and CNN - Revision26:16
In this section we will talk about Multi Class Object Classification, the Mnist Dataset and Convolutional Neural Networks.
Application 1: Traffic Sign Classification16:26
In this section we will demonstrate our first application for our Autonomous Vehicle - A traffic signs classifier.

The traffic signs classifier will be an important part of the visual perception stack so it provides key inputs to the motion planner.
Application 2: Driver Behavior Cloning in a Simulated Environment26:30
Application 3: 2D Controller Design - Demonstration6:26
Application 3 - 2D-Controller - Systems to Code Session18:18
Application 4: Motion Planning for Self Driving Vehicle - Demo5:40
Application 4 : Systems to Code Session30:40

Autonomous Vehicles Innovation Eco System22:48
In this Video we have discussed the innovation ecosystem in Autonomous Vehicles.
Electric Vehicles Innovation Ecosystem13:18
In this video, Feras Naser talks about the Electric Vehicles innovation Ecosystem.
Drones Innovation Ecosystem24:05
In this lecture, Feras talks about the Innovation Ecosystem in Drones Development Around the world.
Research Trends in Autonomous Vehicles11:19
Legal Aspects of Autonomous Cars Manufacturing and Operation4:09
Utilization Autonomous Vehicles Technology for Guided BRT15:12
In this video, we talked how Autonomus Vehicles Technology can help in enhancing the safety and operation of BRT in Amman.
Amman BRT | Experience and Utilization | Discussion on the Concept11:46
We will continue after the 20th of September 20210:39
The benefits of Open Source Autonomous Vehicles Software1:34
Examples of Open Source Resources in the AV Space6:27
Starting out with LIDARS1:11

Question Related Safety Assurance Frameworks12:45
In our First Questions Thursdays, we have decided to calculate some of the questions associated wit safety frameworks.
A Question on Well to Wheel Analysis8:34
A Question on Unmanned Traffic Management System5:36
A Question on Unmanned Traffic Management Systems.
A Question on the state of art in Using Computer Vision in Autonomous Cars.12:05
A New Structure for Questions Thursdays7:32

Requirements

Background in Engineering, Systems Engineering, Linear Algebra.
Background in Python
Background in Computer Vision and Deep Learning

Description

This course will cover three main topics to cover our vision of

| Accessibility to the skies , Autonomy in the Ground and World Sustainability |

that is electric mobility, drones and Autonomous Cars. In this course you will be learning the following topics:-

ELECTRIC MOBILITY

1- Transportation in the 21st Centaury

2- Electric Cars and Electric Mobility

Key outcomes: Understanding Electric Mobility Technology, infrastructure and Challenges.

Drones and Autonomous Systems

1- Drone UAV and Simulation in the 21st Centaury.

2- Unmanned Aerial Vehicles Software, Simulation and Control

Key outcomes: The ability to build a DIY drone and control a drone in a simulation. In addition to more advanced topics of planning, estimation and control swarms of drones.

Autonomous Cars

1- Introduction to Autonomous Cars

2- State Estimation, Localization and Visual Perception of Autonomous Vehicles.

3- Motion Planning of Autonomous Cars.

4- Applications for Autonomous Cars .

Key outcomes: In-depth knowledge of Autonomous Cars, the ability to build the full software stack of autonomous vehicles, this includes the controller, the visual perception stack as well the motion planning stack.

Additional Services:

1- Innovation Wednesdays and Questions Thursdays : ( We meet every Wednesday for an in an innovation lecture and We meet every Thursday to answer our students Questions this happens at 12:00 PM GMT)

2- Systems to Code Sessions: A Learning Approach that aims to to explain complex code on a white board and divided the code into groups that can be linked to key systems components as well scientific and engineering equations.

3- The Autonomous Systems Podcast : Every Friday we create an episode that discuss the latest news in autonomous systems. Potential Interviews with key people in the Autonomous Systems Field.

4- Support for Certification: We provide full support through further explanation of concepts in our Questions Thursdays and provision of Coding examples of different autonomous systems software stacks ( Drones and Autonomous cars).

The Lecturer: Feras Naser

Feras Naser was one of the very early builders of civil drones in the world, at the age of 26 without local market provision of an open source flight control system. Feras is a civil engineer who holds an MSc in Railway Systems engineering from the University of Birmingham and an Advanced Online Certificate in Autonomous Cars from the University of Toronto.

Feras run a large group of innovative tech seeds in his group FerasNaser(DOTcom) were he aim to build a thriving innovation communities. . Feras is responsible for many transport novel solutions, including his voice enabled hand held inspection device (inspectro). Feras do publish frequently on various transport topics, recently he has published on the potential use of blockchain technologies in railway applications.

Feras recent research and consultancy work is about building novel transport solution and exploring recent advances in science and technology. This include wide range of domains including the usage of machine learning in railway applications, the possibility of using drones for delivery within cities, changes in micro-mobility and remote working environments. Feras has special interest in understanding the relations of transport history data and TRUST. Also, he has a special interest in providing new models of funding for public infrastructure through the exploitation of transport data. Specifically the usage of transport data to provide trust services.

Feras is considered one of the most knowledgeable transport consultants in the middle east region, he brings great experience in developing novel systems and building agile teams. He is responsible for the development of hack sprint methodology as well the systems to code methodology.

Who this course is for:

Engineering Graduates who would like to pursue a career in the Autonomous Cars, Drones or Electric Mobility Industry
Working Professionals who would like to update their knowledge on Autonomous Cars, Drones or Electric Mobility
2nd and 3rd Year Engineering Students who would like to acquire the skills necessary for them to join the Automotive and Drones Industry

Autonomous Cars, Drones & Electric Mobility - Top Track 2021

What you'll learn

Explore related topics

Course content

Transportation in the 21st Centaury5 lectures • 50min

Electric Cars and Electric Mobility12 lectures • 1hr 52min

Drones – UAV in the 21st Centaury13 lectures • 1hr 47min

Unmanned Aerial Vehicles Software, Simulation and Control7 lectures • 55min

ِAn Introduction to Autonomous Cars12 lectures • 3hr 22min

State Estimation, Localization and Visual Perception14 lectures • 4hr 14min

Motion Planning for Self Driving Vehicle8 lectures • 2hr 37min

Autonomous Cars Code and Simulation - Practical Section10 lectures • 3hr 38min

Innovation Wednesdays11 lectures • 1hr 52min

Questions Thursdays5 lectures • 47min

Requirements

Description

Who this course is for: