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Autonomous Vehicle Controls using MATLAB and Simulink in Chennai

Pursue the 3-month autonomous car course curated by industry experts and gain in-demand skills. Our mentor-led course will take you through the advanced concepts essential for developing ADAS control systems using MATLAB and 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 Chennai

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 Chennai

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
4.8

Learn Autonomous Vehicle Controls using MATLAB and Simulink Course at Skill-Lync in Chennai

Autonomous Vehicle Controls using MATLAB and Simulink is one of the best autonomous vehicle courses offered by Skill-Lync. Enrolling in this online learning program can help you understand model-based command techniques for driver-assist systems.

Skill-Lync's autonomous vehicle course is a three-month-long online certification program that helps you learn different control techniques used to design and develop automotive systems and model-based system engineering. In addition, this learning course offers a detailed overview of software tools such as Simulink and MATLAB, extensively employed in the automotive industry. 

After learning in detail about this extensive software and its uses, you can apply the practical knowledge gained to create models for level 2 autonomous vehicle characteristics and add transformations to enhance the system capacities. Apart from that, when you register for this online certification course at Skill-Lync, you get access to high-quality video lectures from expert mentors. These expert mentors can help you seamlessly understand concepts like algorithm development and interfaces for driver-assistant technologies. 

Also, this certification course online can allow you to effectively plan and design an ACC (Adaptive Cruise Control) algorithm and model in Simulink. As one of the best autonomous vehicle certification courses, the curriculum includes two industry-level projects to make you job-ready.

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

Why should I go for an Autonomous Vehicle Course at Skill-Lync in Chennai?

By opting for an Autonomous Vehicle Course course in Chennai, you get a chance to explore concepts related to control strategies employed to develop automotive systems and model-based system engineering to get better career avenues and upskill your careers.

What are the prerequisites for taking up an Autonomous Vehicle Course in Chennai?

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

What is the program fee for Skill-Lync's Autonomous Vehicle Course in Chennai?

The fee for the autonomous vehicle certification course ranges from INR 7,000 to INR 15,000. 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 benefits of pursuing an Autonomous Vehicle Course in Chennai?

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 are the career prospects after completing the Autonomous Vehicle Course in Chennai?  

Once you enroll in these autonomous vehicle courses, you can apply for different positions, such as:

  • ADAS test engineer
  • Architect ADAS
  • Machine learning engineer

What is the expected salary range after completing an Autonomous Vehicle Course in Chennai?

The average salary range for a Machine Learning Engineer after completing this Autonomous Vehicle Course is INR 9.7 lakhs per annum.

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.

Flexible Pricing

Talk to our career counsellors to get flexible payment options.

Premium

INR 40,000

Inclusive of all charges


Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals

  • 1 Year Accessto Skill-Lync’s Learning Management System (LMS)

  • Personalized Pageto showcase Projects & Certifications

  • Live Individual & Group Sessionsto resolve queries, Discuss Progress and Study Plans.

  • Personalized & Hands-OnSupport over Mail, Telephone for Query Resolution & Overall Learner Progress.

  • Job-Oriented Industry Relevant Curriculumavailable at your fingertips curated by Global Industry Experts along with Live Sessions.

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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