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Introduction to the Future of Vehicle Validation-ADAS

A comprehensive course on ADAS using practical and real-world examples. This course is highly suited for beginners

12 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies MATLAB, Simulink, Python

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • A complete basic level introduction to Advanced Driver-Assistance Systems (ADAS):
  • Information about the History of ADAS
  • Study of the various ADAS features
  • Introduction to the tools and methods used widely in the ADAS domain of the Automotive Industry
  • Basic Coding and Modeling knowledge will be required to develop the ADAS features

Course Syllabus

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week 1- History of ADAS and ADAS features

The following topics are covered in this week:

  • History of ADAS
  • Anti-lock braking system (Inc. Simulink)
  • Cruise Control

Week 2- ADAS features 1

Adaptive Cruise Control(ACC) is a system designed to accelerate or decelerate a vehicle depending on the traffic present in the road.
These type of Advance Driver Assistance Systems(ADAS) are widely present in present day vehicles and it acts as an extremely efficient safety feature. In this week, we will look into ACC in detail.

Week 3- ADAS features 2

The following topics are covered in this week:

  • Autonomous Emergency Braking
  • Lane Keeping Assist
  • Traffic Jam Assist

 

Week 4- ADAS and Autonomous Drive Development/Validation in the Automotive Industry

The following topics are covered in this week:

  • ADAS/AD Levels
  • SDLC types
  • Simulation Tools
  • Companies

Week 5- Scenario Creation

Automated Valet Parking is a brilliant technology that enables the driver with an app in the smartphone through which he/she can park the vehicle. No driver is required for this technology. The features, sensors and the working is discussed in detail this week.

Week 6- QGIS (Quantum Geographic Information System)

QGIS is an opensource geographic information system used in analyzing and editing geographic information. It is also used in composing and exporting maps from the software. In this week, all the important functionalities and its features are discussed.

Week 7- Post-Validation Scripting

Python scripting is one of the most widely used languages in building software, websites and many other technological applications. In this week, all the important concepts required for proficient python scripting is covered.

Week 8- Driving Scenario Designer

Autonomous driving systems are widely adopted in present day automobiles as they provide efficient and a safer ride. This week, these autonomous driving systems are tested for various scenarios using Matlab.

Week 9- Autonomous Emergency Braking With Sensor Fusion

Sensor fusion is the concept of taking inputs from multiple sensors to arrive at an accurate result for decision making. In this week, we will look into how sensor fusion helps in efficient working of an Autonomous Emergency Braking system. 

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Google Earth - Coordinates manipulation

Development of Simulink Model

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Boost your skillset with the Introduction to the Future of Vehicle Validation - ADAS course

Introduction to ADAS or Advanced Driver Assistance Systems is a course that will help you build systems to help decrease the number of road accidents. ADAS offers to track information and recognition to onboard safety systems. It can detect driver drowsiness, collision avoidance, warnings for lane departure, and protective features that help avoid accidents. 

This course will provide a theoretical understanding of ADAS and provide practical knowledge of the workings of the automotive industry. It will ensure that you have a strong foundation and the requisite tools required before looking for job opportunities.

The minimum duration of this course is six months, and the total course fee is merely Rs. 30,000. 

Who Should Take the ADAS Course?

This course is for anyone interested in learning about ADAS. It’s an opportunity for curious students to get ahead of their peers and acquire the knowledge and skills beneficial for their careers.

Graduates with a bachelors in electrical and electronics engineering, electronics and communications engineering, or mechanical engineering can also use this course to get ahead of the competition and develop a skill set omitted in many universities. It will provide them with an edge when they apply for jobs in the automotive industry. 

Employees in automotive industries like engineers and researchers can use this course to build upon their already existing pool of knowledge and expertise as per their requirements. 

What Will You Learn?

In this course, you will be learning a basic-level introduction to ADAS and its history, an introduction to the tools and methods widely used in the ADAS domain of the automotive industry, as well as some basic coding and modelling required to develop ADAS features. 

You will also be learning some basic software skills required in the automotive industry, including MATLAB scripting, Simulink modelling, python scripting, and driving scenario designer MATLAB app. There will be a balance between the theory and practical usage of the tools used in ADAS, giving a holistic view and knowledge of the domain and the industry.

Skills You Will Gain 

  • You will learn about ADAS features such as adaptive cruise control, autonomous emergency braking, lane-keeping assist, and traffic jam assist.
  • Python, an interpreted high-level, general-purpose programming language, will be used for post validation scripting.
  • You will learn about automated parking valets using the Simulink model.
  • You will learn about QGIS or the quantum geographic information system.

Key Highlights of the Program 

  • The top 5% of the class will get a merit certificate, and a course completion certificate will be provided to all students. 
  • This course has a duration of 6 months and requires only 2 hours of your time daily. 
  • This course teaches industry-relevant skills from various technical experts from all walks of life. The technical and customer support teams are at your beck and call to answer any of your queries about the course. 
  • You will obtain real-time coordinates from Google Earth to create problem statements and combine all knowledge learned to try and develop a Simulink model for 2 ADAS features of your choice.

Career Opportunities after Taking the Course

Introduction to the future of vehicle validation is a course that will help you get a job in the ADAS domain. Jobs in the ADAS domain include research and development positions in the pre-production line of Original Equipment Manufacturing firms such as Tata, Tesla, and Hyundai.

FAQs on Introduction to the Future of Vehicle Validation-ADAS

1. Who can apply for the course? 

This course is for anyone interested in learning about ADAS. Students, graduates, employees, and researchers may take this course.

2. What are the skills that I will learn from this course?

By the end of this course, you would have learned how to use the MATLAB, Simulink model along with QGIS and Python.

3. How are these tools and techniques applied in the real world?

They are used to validate the functioning of vehicles at the R&D stage of their development. It ensures that before it reaches the production stage, enough virtual simulation and testing to reduce the cost of physical testing has taken place.

4. How will this course help you get a PhD?

Any MS or PhD courses in this subject will contain content concerning the ADAS domain as it is now extensively used in the field. 

5. How will this course help me get a job?

The need for ADAS has increased tremendously, due to which many new positions are opening up worldwide. This course will give you a head start over your competition. It deals with practical expertise and functionalities within the industry and does not restrict itself to mere theoretical knowledge.

6. Can I manage to do this course while taking on a full-time job?

This course requires only 2 hours of your time daily. It will not interfere with your day-to-day activities or your full-time job, making it highly efficient for students, employees, and researchers.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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14 years in the experience range

Instructors with 14 years extensive industry experience.

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Areas of expertise

  • Electric vehicles

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