Advanced Modeling, ADAS & AUTOSAR Program for Automotive & EV Systems

The Advanced Modeling, ADAS & AUTOSAR Program for Automotive & EV Systems is a comprehensive 24-week, LIVE + Self-Paced career-focused program built to prepare engineers for the future of intelligent mobility and autonomous systems. The program offers hands-on, end-to-end training in both ADAS (Advanced Driver Assistance Systems) and AUTOSAR (Automotive Open System Architecture) — with simulation and modeling expertise. Learners gain practical experience in automotive software design, simulation

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Program Highlights

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The Advanced Modeling, ADAS & AUTOSAR Program for Automotive & EV Systems is a comprehensive 24-week, LIVE + Self-Paced career-focused program built to prepare engineers for the future of intelligent mobility and autonomous systems. The program offers hands-on, end-to-end training in both ADAS (Advanced Driver Assistance Systems) and AUTOSAR (Automotive Open System Architecture) — with simulation and modeling expertise. Learners gain practical experience in automotive software design, simulation, and validation using industry-standard tools such as MATLAB, Simulink, QSS, Python, and machine learning frameworks. With in-depth modules on EV system design, sensor fusion, safety systems, and embedded software architecture, participants develop the technical expertise required to thrive in careers across electric vehicles, autonomous driving, and automotive software engineering.

Leverage the prestige of IIT Guwahati

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Program certificate and 'Executive Alumni Status' from the E&ICT Academy, IIT Guwahati

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Opportunity to attend a campus immersion program hosted by IIT Guwahati

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50+ Live Sessions Over 6 Months

<li>Engage in interactive sessions led by IIT faculty and industry veterans.</li>

<li>Deep dive into advanced EV design, control systems, and embedded systems.</li>

<li>Flexible scheduling to accommodate working professionals and freshers.</li>

Exclusive, Industry-Aligned Projects

<li>Work on powertrain optimization and battery management systems.</li>

<li>Apply skills through EV simulations using MATLAB and SIMULINK.</li>

<li>Hands-on projects aligned with real-world industry needs.</li>

One-on-One Mentorship </a>

<li>Receive personalized guidance on technical challenges.</li>

<li>Get career advice from seasoned mentors and industry experts.</li>

<li>In-depth support tailored to individual learning needs.</li>

24/7 Learning Support by DIYguru </a>

<li>Access round-the-clock assistance for a smooth learning experience.</li>

<li>Immediate response to academic and technical queries.</li>

<li>Dedicated support team available for continuous guidance.</li>

Learn from IIT Faculty & Industry Experts </a>

<li>Gain insights directly from IIT Guwahati faculty.</li>

<li>Learn from industry professionals with practical experience in EVs.</li>

<li>Bridge the gap between theoretical concepts and real-world applications.</li>

Tailored for Working Professionals and Freshers </a>

<li>Flexible learning pathways to suit diverse needs.</li>

<li>Accommodates the schedules of working professionals.</li>

<li>Offers a comprehensive introduction for freshers entering the EV sector.</li>

Flexible Payment Options with No-Cost EMI </a>

<li>Access quality education with interest-free payment plans.</li>

<li>Ease the financial burden of pursuing advanced studies.</li>

<li>Multiple payment options available for added convenience.</li>

Industry-Recognized EICT - IIT Guwahati Certification </a>

<li>Boost your credentials with a globally recognized certification.</li>

<li>Enhance your career prospects in the EV industry.</li>

<li>Certification recognized by leading industry players and employers.</li>

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Comprehensive Career Services by DIYguru </a>

<li>Resume building and LinkedIn profile optimization.</li>

<li>1:1 mock interviews to prepare for job opportunities.</li>

<li>Dedicated career support to enhance employability.</li>

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Specialized Training from Tadpole Projects & EVI Technology Professionals </a>

<li>24 hours of additional training focused on EV embedded applications.</li>

<li>Hands-on training for EV retrofitment and practical applications.</li>

<li>Gain expertise from industry-leading professionals.</li>

5-Day Campus Immersion at DIYguru COEs developed with L&T Edutech </a>

<li>Experience state-of-the-art labs and facilities.</li>

<li>Network with peers and industry leaders during the program.</li>

<li>Engage in on-campus activities for a deeper learning experience.</li>

NEAT AICTE & ASDC Accreditation </a>

<li>Accredited by NEAT AICTE and ASDC for high educational standards.</li>

<li>Ensures industry relevance and compliance with technical standards.</li>

<li>Recognized by employers across the EV industry.</li>

Vast Industry Tie-Ups </a>

<li>Leverage DIYguru's extensive network of industry partnerships.</li>

<li>Access opportunities for job placements and industry exposure.</li>

<li>Collaborations with leading automotive and EV manufacturers.</li>

Access to emobility.careers Portal </a>

<li>Leverage DIYguru's extensive network of industry partnerships.</li>

<li>Access opportunities for job placements and industry exposure.</li>

<li>Collaborations with leading automotive and EV manufacturers.</li>

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Admission Closes on 1st Nov

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Days Hours Minutes Seconds

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Get more information

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Career Opportunities

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Key Job Areas

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Job Roles

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Skill Sets

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Companies Hiring

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<li>Advanced Driver Assistance Systems (ADAS) Development</li>

<li>AUTOSAR-based Embedded Software Development</li>

<li>Model-Based Development (MBD) for Automotive Applications</li>

<li>EV Powertrain & Battery Management Systems (BMS) Software Engineering</li>

<li>Functional Safety (ISO 26262) & Cybersecurity (ISO 21434) Compliance</li>

<li>Vehicle Communication (CAN, LIN, FlexRay, Ethernet) Engineering</li>

<li>AI & Computer Vision for Autonomous Vehicles</li>

<li>Real-Time Operating Systems (RTOS) & Multi-Core Processing</li>

<li>HIL/SIL/MIL Testing for ADAS & EV Systems</li>

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<ul><li>ADAS Software Engineer (Radar, LiDAR, Camera Sensor Fusion)</li><li>AUTOSAR Embedded Software Engineer (Classic & Adaptive AUTOSAR)</li><li>Model-Based Development Engineer (MATLAB, Simulink, Embedded C)</li><li>Vehicle Communication Engineer (CAN, LIN, FlexRay, SOME/IP)</li><li>Functional Safety Engineer (ISO 26262 Compliance)</li><li>Cybersecurity Engineer (ISO 21434 & Secure Boot Implementation)</li><li>Battery Management System (BMS) Engineer (EV Powertrain & Battery Control)</li><li>HIL Validation Engineer (SIL, MIL, HIL Testing using dSPACE, CANoe)</li><li>AI & Perception Engineer (Computer Vision & Sensor Fusion for ADAS)</li></ul>

<ul><li>AUTOSAR Classic & Adaptive (Architecture, RTE, MCAL, BSW, OS, COM)</li><li>MATLAB/Simulink & Model-Based Development (MIL, SIL, HIL)</li><li>AI & Machine Learning for ADAS (Python, OpenCV, TensorFlow)</li><li>Vehicle Communication Protocols (CAN, LIN, FlexRay, SOME/IP, DDS)</li><li>Embedded C & C++ for Automotive Software Development</li><li>ADAS Sensor Integration (Radar, LiDAR, Camera, Ultrasonic Sensors)</li><li>ISO 26262 Functional Safety & ISO 21434 Cybersecurity Implementation</li><li>BMS, Power Electronics & Motor Control Strategies for EVs</li><li>HIL Testing & Validation (Vector CANoe, dSPACE, NI LabVIEW)</li><li>Real-Time Operating Systems (RTOS) for Automotive ECUs</li></ul>

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<li>Tata Motors</li>

<li>Mahindra Electric Mobility Limited</li>

<li>Hero Electric</li>

<li>Ather Energy</li>

<li>Ola Electric</li>

<li>TVS Motor Company</li>

<li>Bajaj Auto</li>

<li>MG Motor India</li>

<li>Hyundai Motor India</li>

<li>Ashok Leyland</li>

<li>Kinetic Green Energy & Power Solutions</li>

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<li>Advanced Driver Assistance Systems (ADAS) Development</li>

<li>AUTOSAR-based Embedded Software Development</li>

<li>Model-Based Development (MBD) for Automotive Applications</li>

<li>EV Powertrain & Battery Management Systems (BMS) Software Engineering</li>

<li>Functional Safety (ISO 26262) & Cybersecurity (ISO 21434) Compliance</li>

<li>Vehicle Communication (CAN, LIN, FlexRay, Ethernet) Engineering</li>

<li>AI & Computer Vision for Autonomous Vehicles</li>

<li>Real-Time Operating Systems (RTOS) & Multi-Core Processing</li>

<li>HIL/SIL/MIL Testing for ADAS & EV Systems</li>

</ul><ul><li>ADAS Software Engineer (Radar, LiDAR, Camera Sensor Fusion)</li><li>AUTOSAR Embedded Software Engineer (Classic & Adaptive AUTOSAR)</li><li>Model-Based Development Engineer (MATLAB, Simulink, Embedded C)</li><li>Vehicle Communication Engineer (CAN, LIN, FlexRay, SOME/IP)</li><li>Functional Safety Engineer (ISO 26262 Compliance)</li><li>Cybersecurity Engineer (ISO 21434 & Secure Boot Implementation)</li><li>Battery Management System (BMS) Engineer (EV Powertrain & Battery Control)</li><li>HIL Validation Engineer (SIL, MIL, HIL Testing using dSPACE, CANoe)</li><li>AI & Perception Engineer (Computer Vision & Sensor Fusion for ADAS)</li></ul><ul><li>AUTOSAR Classic & Adaptive (Architecture, RTE, MCAL, BSW, OS, COM)</li><li>MATLAB/Simulink & Model-Based Development (MIL, SIL, HIL)</li><li>AI & Machine Learning for ADAS (Python, OpenCV, TensorFlow)</li><li>Vehicle Communication Protocols (CAN, LIN, FlexRay, SOME/IP, DDS)</li><li>Embedded C & C++ for Automotive Software Development</li><li>ADAS Sensor Integration (Radar, LiDAR, Camera, Ultrasonic Sensors)</li><li>ISO 26262 Functional Safety & ISO 21434 Cybersecurity Implementation</li><li>BMS, Power Electronics & Motor Control Strategies for EVs</li><li>HIL Testing & Validation (Vector CANoe, dSPACE, NI LabVIEW)</li><li>Real-Time Operating Systems (RTOS) for Automotive ECUs</li></ul><ul>

<li>Tata Motors</li>

<li>Mahindra Electric Mobility Limited</li>

<li>Hero Electric</li>

<li>Ather Energy</li>

<li>Ola Electric</li>

<li>TVS Motor Company</li>

<li>Bajaj Auto</li>

<li>MG Motor India</li>

<li>Hyundai Motor India</li>

<li>Ashok Leyland</li>

<li>Kinetic Green Energy & Power Solutions</li>

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FOR ENTERPRISE

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<h5>Looking to enroll your employees into this program ?</h5>

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Program Outcomes

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EICT - IITG Certification

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DIYguru + NEAT AICTE + ASDC

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Tadpole Projects + EVI Technology

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Program Curriculum

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Module 1: EV Engineering Essentials Part I and II

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<li>Module Description:

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<li>In this foundational module, you’ll explore the essential components and technologies of electric vehicles, covering the transition from internal combustion engines (ICE) to EVs. This part covers EV design principles, key subsystems, and safety considerations, along with battery technologies, power electronics (inverters, converters), and motor systems, with a focus on control strategies and efficiency optimization. You’ll also gain insights into vehicle electrification, voltage distribution, and the latest charging technologies, including standards and fast-charging solutions.</li>

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<li>Starting with EV Technology: Overview of Electric Vehicles, Components, Key Technologies.</li>

<li>Understanding ICE to EV Transition: Key Differences, Benefits, Challenges.</li>

<li>Electric Vehicle Engineering: EV Design Principles, Key Subsystems, Safety Considerations.</li>

<li>Battery Technology for EV Systems: Battery Chemistries, Energy Density, Charging Cycles</li>

<li>Power Electronics for EV Systems: Inverters, Converters, Power Management.</li>

<li>Motor Systems for Electric Vehicles: Types of Motors, Control Strategies, Efficiency Optimization.</li>

<li>Vehicle Electrification Systems: Vehicle Wiring, Voltage Distribution, High and Low Voltage Components.</li>

<li>Electric Vehicle Charging Technology: Charging Infrastructure, Standards (CCS, CHAdeMO), Fast Charging Solutions.</li>

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Module 2: Advanced Certification in Electric Vehicle Design and Simulation using MATLAB, SIMULINK, and QSS

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<li>This module covers key aspects of electric vehicle (EV) development, including architecture modeling, powertrain design, and energy flow simulations. It analyzes road load factors like aerodynamic drag, rolling resistance, and gradient forces. The module also focuses on inverter design, efficiency, and thermal management, along with advanced Simscape modeling for electrical, mechanical, and thermal systems. Additionally, it integrates QSS and ADVISOR toolboxes for vehicle design, energy efficiency analysis, and battery performance modeling.</li>

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<li>Road Load Understanding: Forces Acting on Vehicles, Load Distribution</li>

<li>Road Load Analysis: Modeling Aerodynamic Drag, Rolling Resistance, Gradient Forces</li>

<li>Inverter Design and Modeling: Sizing, Efficiency, Thermal Management</li>

<li>Advanced Simscape Modeling: Electrical, Mechanical, Thermal Modeling for EV Systems</li>

<li>QSS and ADVISOR Toolbox Applications: Vehicle Design Simulations, Energy Efficiency Analysis</li>

<li>BMS Modeling and Energy Analysis: Battery Performance Modeling, Energy Flow Simulations</li>

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Module 3: Introduction To AUTOSAR

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<li>This module introduces AUTOSAR, covering its definition, history, and key goals. It highlights the importance of AUTOSAR for standardization, scalability, and reusability in automotive applications.</li>

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Course Overview & Learning Outcomes

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Guidelines for Course Participation

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Introduction to AUTOSAR – Definition, History, and Goals

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Why AUTOSAR is Essential – Standardization Benefits, Scalability & Reusability in Automotive Applications.

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Module 4: Basic Software (BSW) Layer

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<li>This module provides an overview of the AUTOSAR Basic Software architecture, focusing on key layers such as the Services Layer, ECU Abstraction Layer, and Microcontroller Abstraction Layer (MCAL). Learners explore how standardized interfaces and the communication stack enable hardware-independent software development in automotive systems.</li>

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<li>Module Details:

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<li>Overview of the AUTOSAR Basic Software (BSW)</li>

<li>Introduction to BSW Module

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<li>Services Layer</li>

<li>ECU Abstraction Layer</li>

<li>Microcontroller Abstraction Layer (MCAL)</li>

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<li>AUTOSAR Layered Architecture:

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<li>Communication Stack</li>

<li>Interface Abstractions & Standardized APIs</li>

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Module 5: Software Components (SWC)

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<li>This module covers the roles of Atomic and Composite Software Components in AUTOSAR. It introduces component composition through functional grouping and reusability patterns, enabling modular and scalable automotive software design..</li>

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Software Components and Their Roles:

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Atomic Software Components

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Composite Software Components

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<li> Composition Examples:

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Functional Grouping & Reusability Patterns

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Module 6: Ports & Interfaces

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<li>This module focuses on the communication mechanisms between AUTOSAR Software Components using well-defined ports and interfaces. Learners explore the Sender-Receiver (SR) and Client-Server (CS) models, which enable data exchange and service-oriented communication. The module also covers port-level interface definitions, connectors, and port compositions, with practical examples demonstrating how components interact within an automotive ECU environment.</li>

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Port-Level Interface Definitions in AUTOSAR

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Sender-Receiver (SR) Communication Model – Data Exchange Principles

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Client-Server (CS) Interface – Service-Oriented Communication

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Connectors & Port Compositions

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Practical Examples – Port-to-Port Communication Scenarios

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Module 7: Runnables And Events

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<li>This module focuses on Runnables in AUTOSAR, which serve as the execution entities within Software Components (SWCs). It details the various types of events that trigger these Runnables to execute, including Time Events that occur at specific intervals, Mode Switch Events triggered by changes in system modes, and Operation Invocations initiated by function calls.</li>

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Runnables in AUTOSAR – Execution Entities of SWCs.

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Events Triggering Execution:

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Time Events

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Mode Switch Events

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Operation Invocations

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Module 8: Application Software Component (ASW)

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This module provides an overview of the Application Software (ASW) Layer, focusing on the design of its functional layer. It covers how various functionalities are mapped and organized into Software Components (SWCs), enabling modular and efficient software development in AUTOSAR systems.

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<li>Module Details:

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<li>ASW Layer Overview – Functional Layer Design</li>

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Mapping Functionalities into SWCs

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Module 9: Run-Time Environment (RTE)

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<li>Module Description:

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<li>This module introduces the Run-Time Environment (RTE) layer, which acts as middleware between Software Components (SWCs) and the Basic Software (BSW) layer. It covers the two main RTE communication models: Sender-Receiver and Client-Server. The module explains the end-to-end communication flow facilitated by the RTE, along with event scheduling and triggering mechanisms managed through the RTE. Additionally, it includes the process of RTE code generation using AUTOSAR builder tools and the output artifacts produced.</li>

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Introduction to RTE Layer – Roles.

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Middleware between SWC and BSW

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Sender-Receiver RTE Communication

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Client-Server RTE Communication

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End-to-End Communication Flow using RTE

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Event Scheduling and Triggering via RTE

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RTE Code Generation – AUTOSAR Builder Tools & Output Artifacts.

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Module 10: AUTOSAR Development Methodology

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<li>This module covers the AUTOSAR development methodology, focusing on the engineering approaches used in AUTOSAR including top-down and bottom-up development. It explains the complete workflow of system design, configuration, and integration within AUTOSAR, supplemented by real-world examples illustrating the lifecycle of component development.</li>

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Engineering Approach in AUTOSAR – Top-down vs. Bottom-up Development.

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AUTOSAR Methodology Workflow – System Design, Configuration, Integration.

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Real-World Examples – Lifecycle of Component Development

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Module 11: Introduction To ADAS

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<li>This module introduces the fundamental concepts of Advanced Driver Assistance Systems (ADAS), explaining their essential role in modern vehicles. It provides a visual understanding of ADAS components and how they interact within the system. Additionally, the module explores the importance of ADAS as the foundational technology for autonomous driving and covers key terminology and global standards related to ADAS.</li>

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<li>Module Details:

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<li>What is ADAS – Understand the core concept of Advanced Driver Assistance Systems and their role in modern vehicles.</li>

<li>Block Diagram Representation – Visual overview of ADAS components and system interactions.</li>

<li>Role of ADAS in Today’s Autonomous Driving – Explore how ADAS is building block for autonomous vehicle technologies.</li>

<li>Specific Terms and Standard Definitions – Learn common terminology and global standards relevant to ADAS.</li>

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Module 12: Implementation Of ADAS in MATLAB

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<li>This module focuses on practical implementation of Advanced Driver Assistance Systems (ADAS) using MATLAB. It covers simulation and modeling of automotive radar systems for object detection. The camera-based vision system section deals with image acquisition and object recognition through computer vision techniques. You will also learn to simulate ultrasonic sensors for close-range object detection and parking assistance. The module includes LIDAR technology for 3D mapping and obstacle detection using laser-based systems. Finally, it addresses integration of GNSS, GPS, and IMU sensors to support accurate vehicle positioning and navigation..</li>

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<li>Module Details:

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Automotive Radar – Simulation and modeling of radar-based object detection.

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Camera (Vision System) – Image acquisition and object recognition using computer vision.

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Ultrasonic Sensor – Close-range object detection and parking assistance simulation.

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LIDAR – 3D mapping and obstacle detection using laser-based systems.

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GNSS, GPS, IMU – Integration of location and motion sensors for vehicle positioning and navigation.

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Module 13: Machine Learning Implementation In Adas

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<ul><li>Module Description:<ul><li>This module introduces the use of AI, ML, and DL in ADAS, focusing on how data-driven models enhance driving safety. It covers core concepts like classification, detection, and prediction, along with sensor fusion for improved accuracy and the hardware requirements for real-time AI processing in vehicles.</li></ul></li><li>Module Details:<ul><li>Introduction to Machine Learning in ADAS – Role of Al and data-driven models in enhancing driving safety</li><li>ML & DL in ADAS – Overview – Introduction to classification, detection, and prediction using ML/DL</li><li>ML & DL in ADAS – Sensors and Sensor Fusion – Combining data from multiple sensors for improved accuracy</li><li>ML & DL in ADAS – Processors – Understanding hardware requirements and optimization for Al models.</li></ul></li></ul>

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Module 14: Safety Systems In ADAS– Part 1

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<ul><li>Module Description:<ul><li>This course offers a compact overview of ADAS safety features that help prevent or reduce collisions. Topics include Adaptive Cruise Control, Cross Traffic Alerts, Blind Spot Detection, Lane Change Assist, Parking & Headlight Assistance, as well as Occupant, Pedestrian, and Evasive Protection Systems — all designed to enhance situational awareness and driving safety.</li></ul></li><li>Module Details:<ul><li>Introduction – Overview of safety features that prevent or reduce collision risks</li><li>Adaptive Cruise Control (ACC) – Maintaining safe distance and speed relative to surrounding vehicles</li><li>Rear Cross Traffic Alert (RCTA) – Detecting approaching vehicles while reversing</li><li>Vehicle Exit Alert – Warning when opening doors into oncoming traffic</li><li>Front Cross Traffic Alert – Detecting vehicles approaching from the side at junctions</li><li>Forward Collision Warning – Alerting drivers of imminent front-end collisions</li><li>Vehicle Turning Assistance – Monitoring blind spots and surrounding vehicles during turns</li><li>Blind Spot Detection – Detecting vehicles in the driver’s blind zone</li><li>Lane Change Assist – Supporting safe and timely lane changes</li><li>Parking Assistance System – Automated steering and alerts during parking</li><li>Intelligent Headlight Control – Adjusting beam intensity and direction based on traffic conditions</li><li>Occupant Protection System – Pre-crash systems like airbag deployment and seatbelt tensioning</li><li>Pedestrian Protection System – Sensing and mitigating risk to pedestrians</li><li>Evasive Steering Support – Assisting in controlled steering during obstacle avoidance</li></ul></li></ul>

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Module 15: Safety System In ADAS- Part 2

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<ul><li>Module Description:<ul><li><article dir="auto" data-testid="conversation-turn-48" data-scroll-anchor="true">This module explores advanced ADAS technologies that enhance driver awareness and vehicle stability. It covers systems like Traffic Sign Recognition, Speed Limit Assist, Lane Departure Warning, and 360° View Cameras, alongside critical safety features such as Driver Monitoring, Emergency Brake Assist, ABS, TCS, and Cross Wind Assist—all designed to improve response, control, and road safety. </article></li></ul></li><li>Module Details:<ul><li>Introduction – Advanced systems for environment awareness and driver support</li><li>Traffic Sign Recognition System – Detecting and interpreting road signs using vision-based systems</li><li>Speed Limit Assist – Monitoring and maintaining legal speed limits dynamically</li><li>Lane Departure Warning – Alerting drivers when unintentionally drifting out of lanes</li><li>360° Surrounding View System – Providing a bird’s-eye view for enhanced spatial awareness</li><li>Driver Monitoring System – Observing driver behavior for signs of distraction or fatigue</li><li>Driver Drowsiness Detection – Identifying early signs of driver fatigue</li><li>Emergency Brake Assist – Supporting braking when sudden obstacles are detected</li><li>Anti-lock Braking System (ABS) – Preventing wheel lock during hard braking</li><li>Traction Control System (TCS) – Maintaining vehicle stability on slippery surfaces</li><li>Cross Wind Assist – Stabilizing vehicle in strong lateral wind conditions</li></ul></li></ul>

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Module 16: Testing And Validation In ADAS

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<ul><li>Module Description:<ul><li>Learn the validation of safety-critical ADAS features through rigorous testing techniques. Covers functional, scenario-based, and performance testing, including Simulation, SIL, HIL, and DIL methods. Also explores on-track and real-world validation approaches essential for ensuring ADAS reliability and road readiness..</li></ul></li><li>Module Details:<ul><li>Introduction – The critical need for rigorous validation in safety-critical ADAS applications</li><li>Overview of ADAS Testing – Functional, scenario-based, and performance testing approaches</li><li>Simulation, SIL, HIL, and DIL Testing – Model-in-the-loop and hardware-in-the-loop validation techniques</li><li>On-Track Testing and Real-World Validation – Physical testing on proving grounds and public roads</li></ul></li></ul>