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…
Electrical · Course
Autonomous Vehicle Controls using MATLAB and Simulink
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.
- Duration
- 12 weeks
- Content
- 24 hours
- Projects
- 2
- Mode
- Online
OverviewWhat you'll
What you'll
be able to do.
- 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.
Tools you'll use
MATLABSimulink
Curriculum12 modules,
12 modules,
built with industry.
01Autonomous Vehicle Controls using MATLAB and Simulink
- Course Overview and Classical controlW01
- 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
- Course overview:
- Longitudinal Controller DesignW02
- Longitudinal Dynamic Model
- Aero Drag and Rolling Resistance
- Linearizing Longitudinal Model
- Controller Design in Simulink
- Normal Cruise Control Project
- Performance Analysis Using Step Response
- Adaptive cruise control modelW03
- 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
- Design and Develop ACC Control Algorithm and Model in Simulink
- Advanced ACC - ACC Feature ModificationW04
- 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
- Add Additional Functionality to the Model to Improve ACC Performance.
- Lateral Control for Vehicles - Geometric MethodW05
- Geometric Control Methods
- Pure Pursuit Controller
- Lane Keep System Using Pure Pursuit
- Stanley Controller
- LKS Using Stanley
- Lateral Controller Model for Vehicles- Dynamic ModelingW06
- 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
- Lane Centering AssistW07
- 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
- Develop a Level 2 Model for Lane Centering Assist
- Complete Level 2 Feature Model - AutopilotW08
- 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
- Combine the Models Developed Previously into a Single-vehicle Model and Simulate Scenarios with all Active Features
- LCA Modification: Assisted Lane Biasing and Assisted Lane ChangeW09
- Assisted Lane Biasing Logic and Implementation
- Assisted Lane Change Logic
- Path Planning for ALC
- Path Planning Function with LCA Model
- Combined Controller - 5 DOFW10
- 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
- Advanced Topics in Controls for Autonomous Driving- Part 1W11
- 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
- Predictive Speed Assist
- Advanced Topics in Controls for Autonomous Driving- Part 2W12
- 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
- AV Special Applications
- Course Overview and Classical controlW01
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.
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…
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.
Who can take up these autonomous vehicle certification courses?
Students and graduates with a technical background in electrical engineering and mechanical engineering can opt for this course.
Is this an online autonomous vehicle course?
Yes, this is a 100% online course.
What is an autonomous vehicle?
A conventional vehicle that has automated its driving parameters. Autonomous driving does not just include self-driving cars, it includes proximity sensors that warn the user when a vehicle is approaching your vehicle or cruise controls that ensure a static speed while driving on the highway.
What is the fee for this autonomous vehicle online course?
The fee structure is flexible, and you can choose a plan that suits you. The basic plan would give you two months of access, the pro plan would give you four months of access, and the premium plan would give you lifetime access.
How much can a machine learning engineer earn?
According to Glassdoor, the average salary of a machine learning engineer is INR 8 LPA. After completing this course, you can also earn this average pay, and you can expect more once you become an experienced professional.
Is there any certificate for completing this Autonomous Vehicle Controls using MATLAB and Simulink course?
Yes, After completing this Autonomous Vehicle Controls using MATLAB and Simulink course, you shall be given a course completion certificate. The top 5% of the scorers will be given a merit certificate alongside the course completion certificate.
Is there any technical support available for this autonomous vehicle course?
Yes, you can clear your queries with email and forum support.
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Next stepNot sure it's
Not sure it's
the right fit?
A counsellor will walk you through the syllabus, projects and fee options — and tell you honestly if another course suits you better.