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Autonomous Vehicle Controls using MATLAB and Simulink in Mumbai

A 3 month course designed to give students a hands on approach to learn and develop model based control strategies for driver assist systems.

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

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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

  • The students will learn and develop model-based control strategies for driver-assistant systems.
  • During the coursework, the students will learn the following concepts:
    • Various control strategies used to develop automotive systems
    • Hands-on experience in developing algorithms and interfaces for driver-assistant technologies
    • Model-based system engineering
  • Also, they will be able to build their own model for level 2 autonomous vehicle features and add modifications to improve the system capabilities
  • The course will give an overview of the software tools such as MATLAB and Simulink which are widely used in the industry.
  • The students are exposed to the modern trends and standard practices being followed in the industry right now.
  • This course forms the foundation for anyone wanting to pursue a career in this domain.

Course Syllabus in Mumbai

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

Week 1 - Course Overview and Classical control

  • Course overview:
    • Introduction
    • Overview of Automotive Systems Engineering
    • Program Management – Systems Engineering
  • Classical Controls Theory Overview
    • Stability Pole Zeros
    • Transient Performance
    • Disturbance and Tracking
    • PID Systems
    • Gain Selection and Tuning
    • Examples Comparing P, PI, PD, PID

Week 2 - Longitudinal Controller Design

  • Longitudinal Dynamic Model
  • Aero Drag and Rolling Resistance
  • Linearizing Longitudinal Model
  • Controller Design in Simulink
  • Normal Cruise Control Project
  • Performance Analysis Using Step Response

Week 3 - Adaptive cruise control model

  • Design and Develop ACC Control Algorithm and Model in Simulink
    • Feature Overview: Implementation, Sensor Sets, etc.
    • Headway Control Model
    • Speed Control Model
    • Switching Logic in State Flow Techniques
    • Controller Design and Tuning
    • Performance Tuning using Feed-Forward Method

Week 4 - Advanced ACC - ACC Feature Modification

  • Add Additional Functionality to the Model to Improve ACC Performance.
    • CACC overview: Cooperative ACC Model
    • Logic Implementation
    • A Complete Model with Ego Vehicle and Target Vehicle in Simulink
    • Simulation Scenarios and MIL 

Week 5 - Lateral Control for Vehicles - Geometric Method

  • Geometric Control Methods
  • Pure Pursuit Controller 
  • Lane Keep System Using Pure Pursuit
  • Stanley Controller
  • LKS Using Stanley

Week 6 - Lateral Controller Model for Vehicles- Dynamic Modeling

  • Lateral Control Model Elements and Overview
  • Bicycle Model
  • Tire Model
  • State Equation for Lateral Control Model
  • Introduction to MPC
  • Controller Design using MPC
  • Integration and Modelling in MATLAB

Week 7 - Lane Centering Assist

  • Develop a Level 2 Model for Lane Centering Assist
    • Lane Center Assist Logic
    • Feature Boundary Diagram and Functions
    • Steering Path Polynomial
    • Mode Manager and Fault Manager Design
    • Switching Logic for Scenarios
    • Model in Simulink

Week 8 - Complete Level 2 Feature Model - Autopilot

  • Combine the Models Developed Previously into a Single-vehicle Model and Simulate Scenarios with all Active Features
    • Introduction to System Architecture
    • Introduction to Electronic Horizon, HD Maps

Week 9 - LCA Modification: Assisted Lane Biasing and Assisted Lane Change

  • Assisted Lane Biasing Logic and Implementation
  • Assisted Lane Change Logic
  • Path Planning for ALC
  • Path Planning Function with LCA Model

Week 10 - Combined Controller - 5 DOF

  • Combined Model of Lateral and Longitudinal Control
  • Vehicle Dynamic Derivation for State Matrices
  • State-Space Mathematics for 5 DOF System
  • Implement a Single Controller System in Simulink

Week 11 - Advanced Topics in Controls for Autonomous Driving- Part 1

  • Predictive Speed Assist
    • Introduction to Predictive Speed Assist and Intelligent Speed Assist
    • Curve Speed Control Derivation
    • Pseudo Code for PSA and ISA
    • Integration of PSA with Velocity Control Logic
  • Control for Roundabout Scenarios
  • Minimum Risk Manuevers

Week 12 - Advanced Topics in Controls for Autonomous Driving- Part 2

  • AV Special Applications
    • Off-road Mining
    • Logistics and Supply Chain
    • Agricultural Activities
    • Smart Mobility
  • AV Special ODs
    • Toll Gates
    • U-turns in Dead-end
  • Other Control Techniques
    • Cascade Control
    • Nonlinear MPC
    • Sliding Mode Control
  • Future Topics for Research
    • Deep Reinforcement Learning
    • Machine Learning Applications in AVs

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

Industry Projects in Mumbai

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.

Design and Develop Adaptive Cruise Control Model in Simulink

In this project, the students will create a green wave traffic assist feature that recommends vehicle speeds such that the vehicle can be driven in the green wave and minimise stop time in traffic. The students will design and develop an ACC control algorithm and model in Simulink.

Develop an Integrated Automated Driving Model

In this project, the students will develop a level 2 model for lane centering assist and analyze the performance of different controller designs at different road/vehicle scenarios. They will gain hands on experience to develop an integrated automated driving 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

Get a Comprehensive Understanding of Autonomous Vehicles with Skill-Lync's Autonomous Vehicle Controls using MATLAB and Simulink Course in Mumbai

Autonomous vehicles are those in which human drivers are not required to take control to operate the vehicle safely. Also known as driverless or self-driving cars, autonomous vehicles combine sensors and software to control, navigate, and drive the vehicle.

Skill-Lync's Autonomous Vehicle certification course covers all aspects of engineering practices used in the autonomous vehicle industry. The course is primarily directed at the automotive sector. Still, many of the skills students acquire – such as machine learning, pattern detection, and computer vision – are highly sought-after in other industries.

Leading academicians and experienced industry professionals teach it, providing students with the knowledge and skills necessary to pursue a career in this rapidly growing field, making it the best autonomous vehicle course in Mumbai.

By the end of this autonomous vehicle course, students will understand the various types of autonomous vehicles, be familiar with the sensors and software used to control them, and have a strong foundation in machine learning and artificial intelligence. Students can also apply these skills to real-world problems and develop solutions for autonomous vehicles. So if you're looking to get ahead in the ever-changing world of autonomous cars, this is the course for you!

Frequently Asked Questions About Autonomous Vehicle Controls using MATLAB and Simulink Course in Mumbai

Why should I choose the Autonomous Vehicle Controls using MATLAB and Simulink course from Skill-Lync in Mumbai?

This course offers an in-depth understanding of engineering practices used in the autonomous vehicle industry, from machine learning and computer vision to trajectory optimization and radar systems. You'll also get to work on real-world projects with industry partners. This autonomous vehicle course is perfect for those who want to make a career in the autonomous vehicle industry. This course prepares you for success with its comprehensive coverage of critical topics and hands-on experience.

What are the prerequisites for taking up Autonomous Vehicle Controls using MATLAB and Simulink from Skill-Lync in Mumbai?

There are no specific prerequisites for enrolling in the autonomous vehicle course. However, the course is specially curated for students and graduates of electrical, electronics, and related engineering streams.

What are the benefits of taking the autonomous vehicle certification course from Skill-Lync in Mumbai?

As one of the best autonomous vehicle courses, it offers many benefits to you.

  • Industry-oriented curriculum.
  • Hands-on experience in solving industry projects.
  • Email and forum support from the technical support team to clear your doubts.
  • A certificate of completion for all participants and a merit certificate for the top 5% of the scorers.

What is the program fee for the Autonomous Vehicle Controls using MATLAB and Simulink course from Skill-Lync in Mumbai?

The course fee is flexible and is available in three plans. The basic plan provides you with two months of access at INR 7000 per month for three months, the Pro plan provides you with four months of access at INR 10,000 per month for three months and the Premium plan provides you lifetime access at INR 15,000 per month for three months.

What are the career prospects after completing the Autonomous Vehicle Controls using MATLAB and Simulink course from Skill-Lync in Mumbai?

After completing the autonomous vehicle course, you can begin applying for jobs in the automotive industry for roles like:

  • embedded software engineers
  • system engineers
  • research engineers
  • applications engineers

With a comprehensive understanding of engineering practices used in the autonomous vehicle industry, you will be ready for exciting job opportunities in the sector.

What is the average salary after completing the Autonomous Vehicle Controls using MATLAB and Simulink course from Skill-Lync in Mumbai?

Autonomous vehicle engineers in Mumbai earn an average salary of around INR 6 lakhs per year. The median wage is Rs. 8 lakhs, with a range between INR 4 lakhs and INR 20 lakhs per year. Salaries vary depending on experience, education, and skillset.

Can you tell me more about Skill-Lync?

Skill-Lync is among India's leading EdTech platforms dedicated to transforming engineering education. We equip young engineers with the latest skill sets and cutting-edge tools in new-age technologies.

The brainchild of two engineers, Skill-Lync, is on a mission to bridge the skill gap between aspiring professionals and the industry's demands through job-oriented courses.

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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4 years in the experience range

Instructors with 4 years extensive industry experience.

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Areas of expertise

  • RADAR

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