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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Design and Control of Autonomous Vehicles
( 30 Modules )

Module #1
Introduction to Autonomous Vehicles
Overview of autonomous vehicles, history, and applications
Module #2
Sensing and Perception
Introduction to sensors used in autonomous vehicles, including cameras, lidar, radar, and ultrasonic sensors
Module #3
Computer Vision for Autonomous Vehicles
Computer vision techniques for object detection, tracking, and classification
Module #4
Sensor Fusion and Calibration
Techniques for combining and calibrating sensor data for robust perception
Module #5
Motion Planning and Control
Introduction to motion planning and control techniques for autonomous vehicles
Module #6
Kinematics and Dynamics of Autonomous Vehicles
Mathematical modeling of autonomous vehicle motion
Module #7
Control Systems for Autonomous Vehicles
Introduction to control systems and feedback control for autonomous vehicles
Module #8
State Estimation and Localization
Techniques for estimating the state of the vehicle and localizing it in the environment
Module #9
Mapping and Navigation
Techniques for building and using maps for navigation
Module #10
Machine Learning for Autonomous Vehicles
Introduction to machine learning techniques for autonomous vehicles, including deep learning
Module #11
Object Detection and Tracking
Machine learning techniques for object detection and tracking
Module #12
Behavioral Prediction and Motion Forecasting
Machine learning techniques for predicting the behavior of other agents
Module #13
Autonomous Vehicle Software Architecture
Overview of software architecture for autonomous vehicles, including ROS and AUTOSAR
Module #14
Vehicle-to-Everything (V2X) Communication
Introduction to V2X communication for autonomous vehicles, including DSRC and 5G
Module #15
Cybersecurity for Autonomous Vehicles
Threats and countermeasures for securing autonomous vehicles
Module #16
Testing and Validation of Autonomous Vehicles
Methods and tools for testing and validating autonomous vehicles
Module #17
Regulations and Standards for Autonomous Vehicles
Overview of regulations and standards for autonomous vehicles, including safety and performance
Module #18
Human-Machine Interface (HMI) Design
Design principles for human-machine interfaces for autonomous vehicles
Module #19
Functional Safety and Fault Tolerance
Designing for functional safety and fault tolerance in autonomous vehicles
Module #20
Autonomous Vehicle System Design
System-level design considerations for autonomous vehicles, including system architecture and integration
Module #21
Simulation and Modeling for Autonomous Vehicles
Using simulation and modeling tools for autonomous vehicle development and testing
Module #22
Sensor and Actuator Modeling
Modeling and simulation of sensors and actuators for autonomous vehicles
Module #23
Vehicle Dynamics and Simulation
Simulating vehicle dynamics and behavior for autonomous vehicle development
Module #24
Scenario-Based Testing and Validation
Using scenario-based testing and validation for autonomous vehicle development
Module #25
Autonomous Vehicle Development Tools and Platforms
Overview of development tools and platforms for autonomous vehicles, including simulation and testing frameworks
Module #26
Edge Computing and AI for Autonomous Vehicles
Using edge computing and AI for autonomous vehicle applications, including smart sensors and smart cameras
Module #27
Big Data Analytics for Autonomous Vehicles
Using big data analytics for autonomous vehicle applications, including data-driven insights and optimization
Module #28
Vehicle-to-Cloud (V2C) Connectivity
Using vehicle-to-cloud connectivity for autonomous vehicle applications, including data exchange and analytics
Module #29
Electrification and Powertrain for Autonomous Vehicles
Electrification and powertrain design considerations for autonomous vehicles
Module #30
Course Wrap-Up & Conclusion
Planning next steps in Design and Control of Autonomous Vehicles career


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