Autonomous Cars, Drones Electric Mobility Top Track 2021

Autonomous Cars, Drones & Electric Mobility – Top Track 2021, available at $59.99, has an average rating of 4.2, with 100 lectures, based on 37 reviews, and has 418 subscribers.

You will learn about 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 This course is ideal for individuals who are Engineering Graduates who would like to pursue a career in the Autonomous Cars, Drones or Electric Mobility Industry or Working Professionals who would like to update their knowledge on Autonomous Cars, Drones or Electric Mobility or 2nd and 3rd Year Engineering Students who would like to acquire the skills necessary for them to join the Automotive and Drones Industry It is particularly useful for Engineering Graduates who would like to pursue a career in the Autonomous Cars, Drones or Electric Mobility Industry or Working Professionals who would like to update their knowledge on Autonomous Cars, Drones or Electric Mobility or 2nd and 3rd Year Engineering Students who would like to acquire the skills necessary for them to join the Automotive and Drones Industry.

Enroll now: Autonomous Cars, Drones & Electric Mobility – Top Track 2021

Summary

Title: Autonomous Cars, Drones & Electric Mobility – Top Track 2021

Price: $59.99

Average Rating: 4.2

Number of Lectures: 100

Number of Published Lectures: 99

Number of Curriculum Items: 100

Number of Published Curriculum Objects: 99

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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.

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

Instructors

Feras Naser
Founder, Creative Director, 10+ Years in Innovation

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 4 votes

4 stars: 16 votes

5 stars: 16 votes

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