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Self-Driving Car Specialization Course
Self-Driving Car Specialization Course

Self-Driving Car Specialization Course: Master the Future of Mobility with Advanced Autonomous Vehicle Technologies

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Profile Icon Ritesh Kanjee
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€18.99 per month
Video May 2024 6hrs 42mins 1st Edition
Video
€224.99
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Arrow left icon
Profile Icon Ritesh Kanjee
Arrow right icon
€18.99 per month
Video May 2024 6hrs 42mins 1st Edition
Video
€224.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€224.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • From introductory concepts to advanced systems, the course covers all aspects of autonomous vehicle technology
  • Each module includes case studies and practical examples
  • Explore the latest technologies in computer vision, ROS simulations, and control systems that are pivotal in self-driving cars

Description

Begin your journey with an in-depth exploration of autonomous vehicle fundamentals in the first module, where you'll learn about the evolution, typologies, and key technologies that define self-driving cars. Each video segment builds a robust framework, detailing levels of automation, the hardware and software utilized, and crucial safety standards and measures that govern this cutting-edge industry. Progress into the specialized realms of system design and control systems in subsequent modules, where practical applications meet theoretical knowledge. Here, the course intricately details the architecture of self-driving car systems, including both hardware and software perspectives, and delves into advanced control mechanisms like PID controllers, Kalman filters, and adaptive cruise control systems. The final modules encapsulate the application of computer vision in autonomous driving and the integration of ROS simulations, providing a hands-on approach to understanding and implementing these technologies. Through this course you'll gain insights into object detection, scene understanding, and the implementation of navigation and collision avoidance systems, culminating in a comprehensive understanding of the real-world challenges and solutions in autonomous vehicle technology.

Who is this book for?

This course is ideal for enthusiasts in robotics and automotive technologies. Prerequisites include a basic understanding of programming and a keen interest in automation and robotics technologies. Prior experience with system design or control theory will be beneficial but is not mandatory.

What you will learn

  • Understand the foundational concepts and technologies behind autonomous vehicles
  • Design and implement complex system architectures for self-driving cars
  • Develop skills in computer vision and object detection
  • Apply control systems knowledge to enhance vehicle automation and safety
  • Evaluate the performance and safety of autonomous systems through simulations and real-world applications

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 21, 2024
Length: 6hrs 42mins
Edition : 1st
Language : English
ISBN-13 : 9781836208075
Category :
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Product Details

Publication date : May 21, 2024
Length: 6hrs 42mins
Edition : 1st
Language : English
ISBN-13 : 9781836208075
Category :
Tools :

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Table of Contents

6 Chapters
Module 1 - Self Driving Car Introduction Chevron down icon Chevron up icon
Module 2 - Self Driving Car System Design Chevron down icon Chevron up icon
Module 3 - Control Systems Chevron down icon Chevron up icon
Introduction to Longitudinal Control
Introduction to Longitudinal Control System and Basics of LTI Control
Proportional Integral Derivative (PID) Controllers
Longitudinal Control with PID
Introduction to Feedforward and Feedback Control
Importance of Feedforward and Feedback Control
Feedforward Control and Self-Driving Car
Introduction to Kalman Filters
Radar Measurement
Features of Kalman Filters
How does it Work
Car Navigation System
Introduction to Adaptive Cruise Control
Advantages and Limitations of ACC
Vision Based ACC
Vision Based Vehicle Detection
Vision Based ACC Pattern Match
Role of Vision Based ACC
Paper Review on Vision-Based Adaptive Cruise Control
What is SLAM
Why Simultaneous
Role of Mapping
What is State Estimation
Exploring Localization
Explanation of Work Flow
Methods of Implementation
Introduction to Modelling Motion with Motion Aware Prediction
Motion Prediction - Requirement
Motion Prediction – Complexities & Solution Part 1
Motion Prediction – Complexities & Solution Part 2
Constant Velocity Prediction Model
Introduction to Incorporating time-to-collision (TTC) in Decision Making
Time to Collision – Requirements
Time to Collision – Importance
Approaches to Calculate TTC
Weakness & Strengths of TTC Approaches
Efficient Collision Detection Method
Introduction to Simulation in ROS
Challenges in Robotics
ROS – Without ROS
ROS – Concepts & Components – Client Libraries
Installation of ROS
How ROS Work in SDC
Linear and Non Linear Kalman Filtering
Module 4 - Computer Vision Chevron down icon Chevron up icon
Module 5: ROS Simulation Chevron down icon Chevron up icon
Module 6 - Jetbot Implementation - Integration & Experimentation Chevron down icon Chevron up icon
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