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Self-Driving Car Specialization Course · LearnSpace
Назад в каталог
courseraIT и технологии

Self-Driving Car Specialization Course

Курс от Packt
Средний≈ 10.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Embark on a transformative journey into the cutting-edge world of self-driving cars with this comprehensive specialization. Learn the core concepts, technologies, and systems that make autonomous vehicles a reality. From foundational principles to advanced decision-making, this course equips you with the expertise needed to design, implement, and test self-driving car technologies. The course begins with an introduction to autonomous vehicles, exploring their history, levels of automation, and the essential hardware and software components. Progress to system design and control systems, where you’ll master key topics like PID controllers, feedforward and feedback control, Kalman filters, and time-to-collision calculations. Delve into computer vision techniques, including object detection, semantic segmentation, and depth perception, critical for safe and accurate navigation. Engage in hands-on simulations with ROS and Gazebo, developing models, mapping environments, and implementing motion prediction. Finally, experiment with Jetbot implementation, integrating cutting-edge technologies like the Jetson Nano for real-world testing and optimization. This course is perfect for aspiring engineers, researchers, and professionals in autonomous driving. A background in programming, robotics, or vehicle dynamics is helpful but not mandatory. Suitable for intermediate learners eager to dive into the autonomous vehicle revolution.

Навыки, которые вы освоите

Computer VisionSimulation and Simulation SoftwareRoboticsSimulationsEstimationControl SystemsImage AnalysisMachine ControlsAutomationPredictive ModelingVirtual EnvironmentSystems ArchitectureEmbedded Software

Программа курса

6 модулей · 107 учебных материалов

01Module 1 - Self Driving Car Introduction10 материалов

Module 1 - Self Driving Car Introduction

Self Driving Car(SDC) IntroductionВидеоFull Course ResourcesЧтениеWhat Defines a Self Driving Car?ВидеоEvolution of Autonomous Car TechnologiesВидео

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Packt - Course Instructors

Преподаватель курса

Self-Driving Car Specialization Course
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 10.4 ч

6 модулей

Язык: Английский

Субтитры: Казахский

Часть программы вашего университета
Levels of AutomationВидео
Commonly Used Hardware and SoftwareВидео
Safety Standards for Autonomous DrivingВидео
Safety MeasuresВидео
Typology of Self Driving CarsВидео
Vehicle Events & Decision MakingВидео
02Module 2 - Self Driving Car System Design5 материалов

Module 2 - Self Driving Car System Design

SDC Hardware OverviewВидеоSDC SoftwareВидеоSystem ArchitectureВидеоExploring Hardware and Software for Self-Driving CarsDIALOGUEModule 2 - Self Driving Car System Design - AssessmentЗадание
03Module 3 - Control Systems46 материалов

Module 3 - Control Systems

Introduction to Longitudinal ControlВидеоIntroduction to Longitudinal Control System and Basics of LTI ControlВидеоProportional Integral Derivative (PID) ControllersВидеоLongitudinal Control with PIDВидеоIntroduction to Feedforward and Feedback ControlВидеоImportance of Feedforward and Feedback ControlВидеоFeedforward Control and Self-Driving CarВидеоIntroduction to Kalman FiltersВидеоRadar MeasurementВидеоFeatures of Kalman FiltersВидеоHow does it WorkВидеоCar Navigation SystemВидеоIntroduction to Adaptive Cruise ControlВидеоAdvantages and Limitations of ACCВидеоVision Based ACCВидеоVision Based Vehicle DetectionВидеоVision Based ACC Pattern MatchВидеоRole of Vision Based ACCВидеоPaper Review on Vision-Based Adaptive Cruise ControlВидеоWhat is SLAMВидеоWhy SimultaneousВидеоRole of MappingВидеоWhat is State EstimationВидеоExploring LocalizationВидеоExplanation of Work FlowВидеоMethods of ImplementationВидеоIntroduction to Modelling Motion with Motion Aware PredictionВидеоMotion Prediction - RequirementВидеоMotion Prediction – Complexities & Solution Part 1ВидеоMotion Prediction – Complexities & Solution Part 2ВидеоConstant Velocity Prediction ModelВидеоIntroduction to Incorporating time-to-collision (TTC) in Decision MakingВидеоTime to Collision – RequirementsВидеоTime to Collision – ImportanceВидеоApproaches to Calculate TTCВидеоWeakness & Strengths of TTC ApproachesВидеоEfficient Collision Detection MethodВидеоIntroduction to Simulation in ROSВидеоChallenges in RoboticsВидеоROS – Without ROSВидеоROS – Concepts & Components – Client LibrariesВидеоInstallation of ROSВидеоHow ROS Work in SDCВидеоLinear and Non Linear Kalman FilteringВидеоLongitudinal Control in VehiclesDIALOGUEModule 3 - Control Systems - AssessmentЗадание
04Module 4 - Computer Vision12 материалов

Module 4 - Computer Vision

Introduction to Computer Vision for Road Scene UnderstandingВидеоIntroduction to the Object Detection and 2D Object DetectionВидео3D Object DetectionВидеоObject Detection using Deep LearningВидеоObject TrackingВидеоSemantic Segmentation for Detecting Drivable AreaВидеоSegmentation - U-NETВидеоHydraNetsВидеоStereo Vision and Point CloudsВидеоReal-Time Vision Depth Perception on Jetson NanoВидеоComputer Vision FundamentalsDIALOGUEModule 4 - Computer Vision - AssessmentЗадание
05Module 5: ROS Simulation23 материалов

Module 5: ROS Simulation

Gazebo SetupВидеоROS2 Setup and installationВидеоOpen Source Repositories availableВидеоGazebo ROS2 integrationВидеоRos2 and Gazebo setupВидеоModel car creationВидеоModel Cars availableВидеоRoads InitializationВидеоRoad MappingВидеоCreating an Environment around RoadsВидеоLane SegmentationВидеоClassificationВидеоGenerations of definitive areasВидеоState EstimationВидеоModeling Motion with Motion Aware PredictionВидеоIncorporating time-to-collision (TTC) in decision making, Obstacle avoidanceВидеоLIDAR SensingВидеоLinear and Non Linear Kalman FilteringВидеоAlgorithmsВидеоVision-based Adaptive Cruise Control State EstimationВидеоLocalisation ImplementationВидеоUsing ROS2 and Gazebo for Self-Driving Car SimulationsDIALOGUEModule 5: ROS Simulation - AssessmentЗадание
06Module 6 - Jetbot Implementation - Integration & Experimentation11 материалов

Module 6 - Jetbot Implementation - Integration & Experimentation

Jetson Nano SetupВидеоJetbot hardware assemblyВидеоBasic Motion TeleoperationsВидеоCollision Avoidance. Localization on Jetbot.ВидеоRoad FollowingВидеоObject FollowingВидеоReal-Time Vision Depth Perception on Jetson Nano Integrating real time feed with built models Testing integration with test cases.ВидеоTesting our JetBot System in an IRL environmentВидеоModule 6 - Jetbot Implementation - Integration & Experimentation - AssessmentЗаданиеFull Course Practice AssessmentЗаданиеFull Course AssessmentЗадание