Certification Course in Advanced Driver Assistance Systems (ADAS) for EVs
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Module 1: ADAS Fundamentals & Prerequisites
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Module 2: Comprehensive ADAS Development & Simulation Using MATLAB-SimulinkTopic 1: Overview of Development Models, Testing, and Simulation15m 27sTopic 2: LDW & LKA – Sensor Based Implementation & Validation in MATLAB21m 56sTopic 3: MATLAB and Simulink Overview for ADAS Applications15m 27sTopic 4: Line-by-Line Code Demonstration – MATLAB Simulation of ADAS Lane Keeping System18m 26sTopic 5: Camera-Based Lane Detection and Video Processing for ADAS Using MATLAB27m 14sTopic 6: Sensor Limitations and ADAS Functional Block Diagram22m 21sTopic 7: Radar-Based Object Detection in ADAS – Principles, MATLAB Simulation, & Code Walkthrough22m 7s
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Module 3: Machine Learning Implementation in ADAS
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Module 4: Safety systems in ADAS part 1
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Module 5: Data Analysis and Visualization
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Module 6: ADAS Sensors Overview
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Module 7: Signal Processing for ADAS
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Module 8: ADAS Algorithms
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Module 9: Simulating ADAS Systems
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Module 10: Case Study and Project Introduction
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DIY Projects:
The Certification Program in ADAS for Electric Vehicles combines theoretical insights and hands-on training to provide a comprehensive understanding of designing, developing, and simulating Advanced Driver Assistance Systems (ADAS) using MATLAB. With a focus on key sensors, algorithms, and simulation tools, this program equips participants with the skills to create safe, efficient, and scalable ADAS solutions tailored for electric vehicles.
What's included
- -10 Modules
- -36 Lessons
- -25 Hours of Video Content
- -Certificate of Completion
- -1 Project Assignment
