AGV-Autonomous Ground Vehicles Specialization
Get involved in this comprehensive specialization of the auto-driving mobiles and understand the technology behind this revolutionary industry!
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About the program
So you want to become a self-driving car engineer? Learning the top practices and in-demand skills in self-driving cars is possible and achievable through this online and live training course. This revolutionary and interdisciplinary engineering is striking through the high-tech market and driving countless opportunities for professionals, geeks, planners, and even at the basic level of those beneficiaries: car drivers, and passengers!
Talking about driverless or autonomous cars is provoking the concept behind this technology of steering a vehicle remotely or autonomously that requires no or little human interaction and control, which is allowing users to safely travel and transport goods with that comfort like never before.
Yes, it is! This is so realistic and can be implemented by different integration of technologies such as sensors, computer vision, and other software. It's a must to learn indeed, especially if you want one of the most lucrative careers in a skyrocketing industry.
What will you learn
In this AV specialization, students will learn different skills in different car’s related domains like physics, engineering, software, programming, and algorithm development. Students will learn to develop different AV algorithms using C++/Python and using the ROS platform to implement them and run them in AV simulators. This AV specialization will let students understand the concepts of AV like perception and sensors, localization and mapping, route generating and path planning, and vehicle control. By the end of this course, students will be able to work on developing and implementing different algorithms in the AV domain and implement them in practice.
Enrolling in this specialization will take you through a learning journey of 3 phases over 15 weeks. Where you firstly start from the basics level to get the know-how of programming with python, C++, and ROS. Additionally, to get a rooted understanding of applied mathematics and equations, dynamics, and kinematics. Your journey next moves to advance your learning with the key perceptions, localization, planning, and control which are expected to accomplish within 11 weeks led by instructors and practitioners from top-notched entities. Lectures will be conducted in live, peer-to-peer sessions that allow you to meet with your instructors and your colleagues and enjoy the interactive and group-discussion classes. You will be weekly assigned to a hands-on task to leverage the knowledge gained during these sessions. Students also will be working on their capstone projects during the last 5 weeks of this cohort. Besides the Capstone project, you'll take an End-of-Course Exam as a prerequisite to get certified.
Phase I: Initial Courses
12 credits
Programming
- Using Linux OS with ROS, using ROS with different car simulators, writing algorithms in C++ and implementing them in ROS
Modeling and Simulation
- Introduction to vehicle engineering and physics, kinematics, dynamics, and control
Phase II: Core Courses
54 credits
Perception and sensor fusion
- Understand sensors' role in AV and sensor fusion algorithms for object detection
AI and Computer Vision
- Understand detection, tracking, and image Recognition
Localisation, Mapping, and Routing
- Understand the use of GNSS to know the current vehicle position from GPS and orientation from IMU, using maps/HD maps for mapping, route generating
Control Systems and Path Planning
- To be able to generate a path from the planning module based on perception, localisation, and routing; and control the vehicle using an accelerator, brake and steering
Optimization
- Understanding of planning, Scheduling and Route Optimization. Realizing the Resource Allocation & Optimization Rolls-Royce.
Phase III: Capstone Project
15 credits
The project will include developing AGV-specific algorithms, such as in areas within perception, mapping, routing, planning, or control. Moreover, the project will include implementing your algorithm in Python/C++ and ROS and deploying the algorithm in an AGV simulator.
The estimated average pay for a beginner Software Engineer, Autonomous Driving is $64,130 per year according to Glassdoor.
As expected in 2024 we would reach sales of 54 million autonomous vehicles across the world according to Statista.
Deliverables
Meet your instructors
Muhannad Alomari is currently the Head of AI across Europe for R2-Factory at Rolls-Royce plc, working on solving some of the most challenging engineering problems through the applications of AI. Muhannad is an Honorary Fellow at the Neuroscience Department at University College London, and at the Computer Science Department at City, University of London. He has a background in Autonomous Systems Engineering, and a Ph.D. in AI and Machine Learning from the University of Leeds, where he was awarded the highly prestigious “Research Excellence Award” and the “runner-up best Ph.D. dissertation award” by the European Association for AI.
Omar is currently a postdoctoral researcher and lecturer in robotics and autonomous systems at the Autonomous Systems and Advanced Robotics Centre - University of Salford, United Kingdom. He holds a Ph.D. in control, robotics, and autonomous systems engineering from the Department of Automatic Control and Systems Engineering, University of Sheffield, United. His areas of expertise are autonomous driving cars, unmanned aerial vehicles (UAV), drones, robotics, and control systems.
Ayham is currently working as a researcher and lecturer in the Mechatronics Research Group at Saxion University of Applied Sciences - Netherlands. His areas of expertise are Dynamic Systems Modeling, Simulation, Predictive Control, Physical Interaction Control, Aerial Robotics, and Embedded Control Systems.
Amr is currently working as a research & development engineer on a spaceplane development project at PD Aerospace in Japan. Amr holds a Ph.D. in Aerospace & Wind Energy from Kyushu University, Japan, and has over 10 years of work experience in both academia and industry in applied aerodynamics and CFD as well as a strong knowledge of various engineering tools and programming languages.
What our students say
Tuition & Financing
- Pay on monthly basis as you go through this specialization
- Full specialization with all deliverables and Instructor’s support.
- Save extra 22% vs. monthly subscription
- Full specialization with all deliverables and Instructor’s support.
FAQs
What is a Self-driving car?
Basically "Driverless". The concept behind it is fairly simple: build a car with cameras and sensors which can track all objects around it and charter its navigation accordingly. These vehicles are using extra advance technological systems with in-car computers that know all driving rules, they should be able to navigate to their destination successfully.
How do get started in self-driving car engineering?
You need to have basic knowledge of mathematics, computer programming, and computer vision. This should push you to start an entry-level career and create algorithms that are integral to self-driving car technologies like the automated sensor system.
What do self-driving engineers work on?
In this specialization, you will learn the most demanded programming skills like ROS, and Python,...and integrate them with the core concepts of vehicle kinematics and dynamics to be able to understand perception and sensor fusion. This will advance your steps in getting a role in this field, and work on training the vehicle to detect and identify obstacles to inform navigation.
Who is this course suitable for?
Learning autonomous vehicles is not that easy, yet it's possible. You can do it by self-paced learning, there's a huge amount of tutorials and online courses available on search engines. Meanwhile, it might take a long time to achieve the desired outcomes yet no practical experience might be done nor a mentor tracking. This course will help you achieve your goals if you're having a basis in engineering or computer science. You're expected to have at least the basic knowledge of mathematics and mainly programming. Need help to determine whether this course is right for you? Contact us.
Can I skip a certain course?
Not exactly, you can only waive courses in the initial phase (prerequisites kit). We recommend you to apply and join these foundational courses, to learn basic components before digging deep into the advanced level since the whole curriculum is designed following the synoptic methodology. You can waive these courses upon your responsibility if your submitted documents met our criteria. (Read more in the syllabus)
Is this program accredited?
This specialization program is non-academia-recognized. Our Bioinformatics professional training kit is designed and developed in collaboration with the industrial leads in the field, learning outcomes and the curriculum are articulated to meet market-based and in-demand skillset in such vacancies globally and regionally. Once completed the program, you will be qualified to apply for entry-level jobs in the field.
Does Phi Science offer financial aid or discounts?
As part of paying back to our society, Phi is glad to provide up to 2 full scholarships for any of its specializations. Please submit your application form. Moreover, you can get your early-bird registration discount when enrolling in any of the announced programs 2 weeks at least before the kick-off day.
