MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 81 lectures (19h 13m) | Size: 12.5 GB
Drones and Autonomous Cars Building, Control and Simulation | Electric Mobility Technology and Future
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
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
