We may earn an affiliate commission when you visit our partners.
Course image
Feras Naser

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.

Read more

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.

Enroll now

What's inside

Learning objectives

  • 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
  • Show more
  • Show less

Syllabus

In this Chapter you will learn about the key trends and Technologies that will Shape the world of Transportation in the 21st Centaury

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).

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com
 

Read more

In this section you will learn about Transport as a Socio-Technical System.

- Urbanization.
- Technology Transition.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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)

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this section, we will talk about the following topics:

1- Electric Cars, Market Projections.
2- Electric Cars Examples.
3- Drive Train

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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. 

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this section we will be taking about Transport Modes Electrification:

1- Aviation Electrification.
2- Ships and Sea ports Electrification.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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).

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.

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.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this section I will talk about UAV applications :

1- Hobby Drones.
2- Industrial Drones (Agriculture, Inspection, Security, Designers).
3- Drones Startups 

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this section I will talk about UAV applications :

1- Main Drone Architecture
2- Drone Components
3- Drone Kit and Drone Software

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this section I will talk about Building Unmanned Aerial Vehicles Simulation :

1- Simulation Packages
2- Mission Planner : Mission Planner Components

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.


Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.


Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this video, you will see a demonstration how we have managed to send commands to an UAV through the command line

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.


Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this section we will demonstrate how you can design and develop a drone simulated drone.


1- Unmanned Traffic Management Systems.


Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.


Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this section we will provide a quick introduction to the levels of Autonomy. 

1- Autonomy Taxonomy.
2- Autonomy Challenges.
3- Driving Decisions.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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)

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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


Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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) 


Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this section will do a quick review of Python and Numpy Libraries so we can build our perception stack for our autonomous Vehicle.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this video, we have made a revision of Machine Learning and KERAS.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this section we will talk about Multi Class Object Classification, the Mnist Dataset and Convolutional Neural Networks.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

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.

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this section, we have demonstrated driver behavior cloning in a simulated environment, you can access the full code using the attached files, and you access the simulators using the underneath links.

https://github.com/udacity/self-driving-car-sim

https://carla.org/

Always remember that this course is part of Ferasuni.com, The university of the freedom of Education and innovation and is being delivered by Leader Feras Naser.

FerasNaser.com

In this Video we have discussed the innovation ecosystem in Autonomous Vehicles.

In this video, Feras Naser talks about the Electric Vehicles innovation Ecosystem.

In this lecture, Feras talks about the Innovation Ecosystem in Drones Development Around the world.

Legal Aspects Associated with the Operation of Autonomous Cars Operation.

https://soundcloud.com/feras-salim-naser-shadid/autonomoussystemspodcast23rdjuly

In this video, we talked how Autonomus Vehicles Technology can help in enhancing the safety and operation of BRT in Amman.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides an overview of electric mobility, drones, and autonomous cars, which is suitable for learners seeking a broad understanding of these interconnected fields
Includes hands-on elements such as building a DIY drone and developing software stacks for autonomous vehicles, which is valuable for practical learners
Features 'Innovation Wednesdays' and a podcast discussing the latest news in autonomous systems, which is useful for staying current with industry developments
Covers the full software stack of autonomous vehicles, including controller, visual perception, and motion planning, which is essential for software engineers
Explores the history of UAVs, electric vehicle policy, and future trends in transportation, which is useful for learners interested in the evolution of these technologies
Includes sections on Kalman filters, kinematic modeling, and dynamic modeling, which requires learners to have a strong foundation in mathematics and physics

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Overview of autonomous systems and electric mobility

According to learners, this course provides a broad overview covering the key trends and technologies in autonomous cars, drones, and electric mobility. Many appreciate the diverse topics discussed, from technical aspects like state estimation and visual perception to policy, business models, and innovation ecosystems. Reviewers often find it a good starting point for understanding these complex fields. However, some mention the technical depth in certain areas is limited, requiring prior knowledge or supplementary study. The included demos and practical sections are noted but some wished for more hands-on coding exercises. The course structure, including Innovation Wednesdays and Questions Thursdays, is seen as valuable.
Combines concepts with demos.
"I liked that it wasn't just theory; the demos for drone and car simulation were helpful."
"The 'Systems to Code' sessions seemed promising, although I wished for more extensive hands-on coding."
"The application demonstrations helped connect the theoretical concepts to real-world use cases."
Covers non-technical aspects.
"The sections on electric mobility policy and business models were unique and provided valuable context."
"I haven't seen many technical courses cover the economic and regulatory side as this one did."
"Understanding the innovation ecosystem and market strategy was a big plus for me."
Excellent introduction to the field.
"For someone new to these fields, this course is a fantastic place to start."
"I gained a solid foundation and understanding of the concepts."
"It helped me get a good grasp of the basics before diving deeper into specific areas."
Covers wide range of topics.
"This course covers so much territory - electric cars, drones, autonomous vehicles, policy, business... it's a great overview."
"I appreciated the breadth of the curriculum, touching on different aspects of mobility and autonomy."
"It gives a really good picture of the future of transportation across multiple domains."
Some technical topics lack depth.
"While the breadth is good, I felt some of the technical topics like Kalman Filters or CNNs were covered too quickly."
"This course is a good intro, but for real understanding of the algorithms, I needed to find other resources."
"I was expecting more in-depth technical details on building the software stack."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Autonomous Cars, Drones & Electric Mobility - Top Track 2021 with these activities:
Review Linear Algebra Fundamentals
Solidify your understanding of linear algebra, which is crucial for understanding state estimation and motion planning algorithms used in autonomous vehicles.
Browse courses on Linear Algebra
Show steps
  • Review matrix operations and properties.
  • Practice solving systems of linear equations.
  • Understand vector spaces and linear transformations.
Read 'Probabilistic Robotics'
Gain a deeper understanding of probabilistic robotics, which is essential for state estimation and sensor fusion in autonomous vehicles.
Show steps
  • Read chapters on Kalman filtering and particle filters.
  • Work through the examples and exercises in the book.
  • Relate the concepts to the course material on state estimation.
Practice Kalman Filter Problems
Reinforce your understanding of Kalman filters by working through practice problems.
Show steps
  • Find practice problems online or in textbooks.
  • Work through the problems step-by-step.
  • Compare your solutions with the provided answers.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Implement a Lane Following System
Apply your knowledge of computer vision and control to build a lane following system in a simulated environment.
Show steps
  • Set up a development environment with a simulator.
  • Implement lane detection using OpenCV.
  • Design a controller to keep the vehicle in the lane.
  • Test and refine the system in the simulator.
Create a Presentation on Electric Vehicle Policy
Deepen your understanding of electric vehicle policy by researching and presenting on different policies around the world.
Show steps
  • Research electric vehicle policies in different countries.
  • Create a presentation summarizing your findings.
  • Present your findings to a group of peers.
Read 'Robot Motion Planning'
Expand your knowledge of motion planning algorithms, which are crucial for autonomous vehicle navigation.
View Virtual Reality on Amazon
Show steps
  • Read chapters on graph search and sampling-based planning.
  • Understand the mathematical foundations of the algorithms.
  • Relate the concepts to the course material on motion planning.
Contribute to an Open Source Drone Project
Gain practical experience by contributing to an open-source drone project.
Show steps
  • Find an open-source drone project on GitHub.
  • Identify a bug or feature to work on.
  • Submit a pull request with your changes.

Career center

Learners who complete Autonomous Cars, Drones & Electric Mobility - Top Track 2021 will develop knowledge and skills that may be useful to these careers:
Autonomous Vehicle Engineer
An autonomous vehicle engineer specializes in the development and implementation of self-driving technology. This course provides a broad introduction to the field, covering key aspects of autonomous cars, drones, and electric mobility. This course may be particularly helpful because it delves into state estimation, localization, visual perception, and motion planning for autonomous vehicles. It also covers topics related to the software stacks of autonomous vehicles, including controllers. Aspiring autonomous vehicle engineers will find this course helpful.
Robotics Engineer
A robotics engineer designs, builds, and tests robots and autonomous systems. This course equips aspiring robotics engineers with foundational knowledge in autonomous systems, covering electric mobility, drones, and autonomous cars. The course's modules on drone design, simulation, and control directly align with the skills needed to develop aerial robots. The course may be particularly helpful due to the modules focused on the software stack of autonomous vehicles, including controllers, visual perception, and motion planning. Such knowledge helps build a foundation for creating sophisticated robotic systems.
Drone Software Developer
Drone software developers create the software that controls the behavior and functionality of unmanned aerial vehicles. This course may be useful to learn about the use of software in drone technology. The drone section of the course covers software, simulation, and control, along with the ability to build a do it yourself drone. The course may be particularly helpful because it includes advanced topics of planning, estimation, and control of swarms of drones. A drone software developer could use this course as a starting point to expand skill sets.
Simulation Engineer
A simulation engineer creates computer models and simulations to analyze the behavior of complex systems. This course may be particularly helpful since it covers simulation extensively in the context of drones. It may be helpful for learning about unmanned aerial vehicles software, simulation, and control, and to learn how to control a drone in a simulation. Simulation engineers may find this course helpful.
Electric Vehicle Technician
An electric vehicle technician specializes in the maintenance and repair of electric vehicles, including their unique components and systems. This course is helpful due to its focus on electric mobility and electric cars. It covers electric mobility technology, infrastructure, and challenges. This course may be particularly helpful for learning about electric vehicle charging infrastructure and battery technology. Anyone interested in becoming an electric vehicle technician may find value in this course.
Electric Vehicle Charging Consultant
An electric vehicle charging consultant advises businesses and governments on the deployment and management of electric vehicle charging infrastructure. This course is helpful to learn about electric mobility and electric vehicles. The course may be particularly helpful because it includes information on charging infrastructure, policy, and deployment. An electric vehicle charging consultant may find useful information in this course.
Mobility Consultant
Mobility consultants advise cities and transit agencies on how to improve their transportation networks. This course may be particularly helpful due to its focus on electric mobility, drones, and autonomous cars. The course provides an overview of transportation trends and technologies. Mobility consultants wanting to learn more about transportation trends should consider this course.
Transportation Planner
Transportation planners develop strategies and plans to improve the efficiency and sustainability of transportation systems. This course helps gain insight into future trends in transportation that are crucial for effective planning. The course provides content on electric mobility, autonomous systems, and autonomous cars. This course may be particularly helpful for learning about electric vehicles policy and transport modes electrification. Transportation planners wanting to learn more about electric mobility should consider this course.
Computer Vision Engineer
A computer vision engineer develops algorithms and systems that enable computers to "see" and interpret images. This course may be helpful, as it discusses visual perception, which is an essential component of computer vision. The course discusses visual perception design using computer vision and deep learning. Someone who wants to become a computer vision engineer will find parts of this course helpful.
UAV Pilot
A UAV pilot operates unmanned aerial vehicles for various applications, such as aerial photography or surveillance. This course may be helpful because it provides foundational knowledge about drones. The course may be particularly helpful for learning to build a do it yourself drone and control a drone in simulation. UAV pilots may find value in this course.
Automotive Embedded Systems Developer
An automotive embedded systems developer designs and implements software for the embedded systems within vehicles. This course helps to understand the broader context in which these systems operate, especially with the rise of autonomous driving and electric mobility. The course may be particularly helpful since it covers the controller components of autonomous vehicles. An automotive embedded systems developer can learn more about electric mobility from this course.
Transportation Data Analyst
Transportation data analysts gather and analyze transportation data to identify trends and improve decision-making. This course may be helpful due to its breadth of information on transport. The course provides insight on data analysis in electric vehicles business models. Data analysts looking to become transportation data analysts may find this course helpful.
Software Engineer
A software engineer develops software for a variety of purposes. This course may be particularly helpful due to its mention of software stacks for autonomous vehicles. This can help build the full software stack of autonomous vehicles, including the controller, the visual perception stack as well the motion planning stack. This is very useful for software engineers.
Deep Learning Engineer
A deep learning enineer develops artificial intelligence through neural networks with many layers. The course may be particularly helpful due to its discussion of visual perception design using computer vision and deep learning. Deep learning engineers may also wish to learn more about electric vehicles.
LIDAR Specialist
LIDAR specialists work with Light Detection and Ranging technology, which is crucial for autonomous vehicle navigation and mapping. This course may be helpful since it mentions the use of LIDAR for state estimation for autonomous cars. A LIDAR specialist may find some value in this course.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Autonomous Cars, Drones & Electric Mobility - Top Track 2021.
Provides a comprehensive overview of probabilistic techniques used in robotics, including state estimation and sensor fusion. It is particularly helpful for understanding the Kalman filter and its variants, which are essential for autonomous vehicle localization. While it's a challenging read, it offers a deep dive into the mathematical foundations of autonomous systems. This book is commonly used as a graduate-level textbook.
Provides a rigorous treatment of robot motion planning algorithms, including graph search and sampling-based methods. It is particularly useful for understanding the motion planning algorithms used in autonomous vehicles. While mathematically dense, it offers a comprehensive overview of the field. This book is often used as a reference for researchers and advanced students.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser