Vehicle Direction Detection
During this project work, the students will develop a MATLAB Simulink model for detecting the direction of the vehicle based on the given requirements. The projects should be MBD c…
Electrical · Course
Introduction to Model-Based Development using MATLAB and Simulink
A comprehensive course on Advanced Driver Assistance System using Matlab and Simulink. This course is highly suited for beginners
- Duration
- 12 weeks
- Content
- 29 hours
- Projects
- 2
- Mode
- Online
OverviewWhat you'll
What you'll
be able to do.
- Learn about the fundamentals of MATLAB, Simulink.
- Learn about Software Development Life Cycle related concepts incl Model based Design, Data Management, Embedded Code Generation, In Loop Validation etc.
- Implementation of control model of ADAS features.
Tools you'll use
MATLABSimulink
Curriculum5 modules,
Get the full syllabus ↓5 modules,
built with industry.
01Introduction to Model-Based Development using MATLAB and Simulink
- Fundamentals & Basics of MATLAB scriptingW01
- Introduction to MATLAB scripting and Syntax Basics
- Vectors, Matrices & Data Types in m-scripting
- MATLAB Operators, Decision Making Statements & Strings in m-scripting
- MATLAB Data Structures Overview & Cell Arrays in m-scripting
- Tables & Structures, MATLAB Functions & Callbacks in m-scripting
- File Handling Formats, Debugging & Flow Control Logics in m-scripting
- Block properties, Different Workspaces in m-scripting
- Programmatically accessing Simulink in m-scripting
- SimulinkW02
- Introduction to Simulink & Simulink Toolbars
- Block Settings, Model Annotation, Simulink Solvers
- Sources & Sink Libraries
- Math Operations; Logical & Bit Operations
- Ports & Subsystems; Atomic Subsystems
- Masked Subsystem & Linked Libraries
- Continuous, Discontinuous & Discrete Blocks
- User-Defined Functions & Lookup Tables
- Mathematical Model Representation & System Models Creation in Simulink
- Stateflow-1
- Stateflow-2
- MATLAB Model-Based DevelopmentW03
- Overview of Automotive Industry
- Software Development demands of Automotive Industry
- Model Based Development in Automotive Industry & Model Based Development in MATLAB
- Requirement Analysis in Model Based Development
- Model Based Development Configuration Parameters Settings
- Creating Simulink Data Dictionary
- Accessing Simulink Data Dictionary & Port Property SettingsSignal Names & Signal Property Configuration
- Model ValidationW04
In this week, the following topics are discussed:
- Model Simulation & Model Advisor Report
- Code Generation Settings, Auto-code Generation
- Overview of Model in Loop, Software in Loop & Hardware in Loop
- Testing Theory
- Test Report Analysis (Coverage Analysis & Different Techniques)
- Model in Loop Testing
- Software in Loop Testing
- Overview of Hardware in Loop Testing
- Advanced Driver Assistance SystemW05
- Introduction to ADAS & Levels of Autonomous Driving
- Overview to ADAS Features - 1
- Overview to ADAS Features - 2
- ADAS Project - Tilt & Telescopic Steering Column
- Requirement Analysis & Problem Understanding
- MATLAB Model Development of Tilt & Telescopic Function Feature
- Fundamentals & Basics of MATLAB scriptingW01
Industry projects2 projects
2 projects
you'll ship.
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.
Adaptive Cruise Control
During this project work, the students will develop the Adaptive Cruise Control Feature for passenger cars in the MATLAB Simulink environment based on the given requirements. The s…
Go further
Part of a PG program.
FeeOne fee.
One fee.
Everything included.
Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals
Premium
₹40,000
Inclusive of all charges- 1 Year Access
- Personalized Page
- Live Individual & Group Sessions
- Personalized & Hands-On
- Job-Oriented Industry Relevant Curriculum
FAQQuestions,
Questions,
answered.
How is this course distinct from the ones taught in college?
Field experts have designed the course curriculum to deliver both academic and practical learning experiences. Through projects on MATLAB and Simulink, this course assists you in reconciling academic knowledge with industry application. The curriculum in Indian colleges does not address these concepts or their application in industry.
What if I get stuck somewhere or have any doubts?
A professional support expert engineer is always available to help you with any questions or concerns. You may also contact Skill-Lync professionals for personalized assistance through email and forum support.
Which companies hire for such roles in India?
Many OEMs like Renault, Ford, Tesla, and Hyundai use ADAS features and look out for skilled engineers in this domain.
What kinds of projects will I get to work on as part of the curriculum?
Learners will work on one mini-project and one main project, namely Vehicle Direction Detection and Adaptive Cruise Control.
What are the prerequisites for this MATLAB Simulink course ?
You must be pursuing or have completed a B.E/B. Tech degree in Mechanical, Automotive, Electrical, Electronics, Mechatronics, or Instrumentation Engineering. A fundamental understanding of Model-Based Development (MBD) and Advanced Driver Assistance Systems is also expected.
What is the duration of the MATLAB Simulink online course ?
The duration of this course is usually three months. However, you may need some more time to finish the project work.
Who are the educators MATLAB Simulink course ? How does the learning take place?
Our instructors for this ADAS course are industry experts with ten years of experience. You will be provided with access to recorded videos and the learning takes place through online mode.
What is ADAS?
ADAS is Advanced Driver Assistance System that works primarily to avoid accidents that happen on road due to human error. It is implemented in autonomous vehicles and many other vehicles to assist drivers. It helps to detect vehicles and obstacles that are even in the blind spot using sensors and cameras.
What is the salary of an ADAS engineer?
The national average salary of an ADAS engineer is about INR 8 LPA.
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