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

Advanced Sensors and Perception for Autonomous Systems
( 30 Modules )

Module #1
Introduction to Autonomous Systems
Overview of autonomous systems, challenges, and applications
Module #2
Sensor Fundamentals
Principles of sensing, sensor types, and sensor characteristics
Module #3
Camera Systems
Camera types, camera models, and computer vision fundamentals
Module #4
Lidar and Radar Fundamentals
Principles of lidar and radar sensing, range and velocity measurement
Module #5
Inertial Measurement Units (IMUs)
IMU principles, sensor fusion, and dead-reckoning navigation
Module #6
GPS and GNSS
GPS and GNSS principles, satellite navigation, and precision
Module #7
Ultrasonic and Acoustic Sensors
Principles of ultrasonic and acoustic sensing, ranging, and obstacle detection
Module #8
Radar and Lidar Sensor Fusion
Fusion of radar and lidar data for object detection and tracking
Module #9
Computer Vision for Object Detection
Object detection using computer vision, CNNs, and deep learning
Module #10
Sensor Calibration and Validation
Calibration and validation methods for various sensor types
Module #11
Sensor Fusion and Perception
Fusion of sensor data for perception, state estimation, and decision-making
Module #12
Machine Learning for Perception
Machine learning techniques for perception, classification, and regression
Module #13
SLAM (Simultaneous Localization and Mapping)
SLAM principles, algorithms, and applications
Module #14
scene Understanding and 3D Reconstruction
Scene understanding, 3D reconstruction, and point cloud processing
Module #15
Motion Forecasting and Prediction
Motion forecasting and prediction techniques for autonomous systems
Module #16
Sensor and Perception System Design
Design considerations for sensor and perception systems
Module #17
Advanced Topics in Autonomous Perception
Emerging trends and advanced topics in autonomous perception
Module #18
Case Studies in Autonomous Systems
Real-world case studies and applications of autonomous systems
Module #19
Safety and Security Considerations
Safety and security considerations for autonomous systems
Module #20
Ethics and Societal Impact
Ethical considerations and societal impact of autonomous systems
Module #21
Hands-on Project:Sensor Fusion and Perception
Hands-on project to develop a sensor fusion and perception system
Module #22
Hands-on Project:Computer Vision and Object Detection
Hands-on project to develop a computer vision and object detection system
Module #23
Hands-on Project:SLAM and 3D Reconstruction
Hands-on project to develop a SLAM and 3D reconstruction system
Module #24
Hands-on Project:Motion Forecasting and Prediction
Hands-on project to develop a motion forecasting and prediction system
Module #25
Hands-on Project:Sensor and Perception System Design
Hands-on project to design a sensor and perception system
Module #26
Group Project:Autonomous System Development
Group project to develop an autonomous system with advanced sensors and perception
Module #27
Project Presentations and Review
Project presentations and review by instructor and peers
Module #28
Advanced Topics in Sensor and Perception Research
Research papers and advanced topics in sensor and perception
Module #29
Industry Applications and Use Cases
Industry applications and use cases of advanced sensors and perception
Module #30
Course Wrap-Up & Conclusion
Planning next steps in Advanced Sensors and Perception for Autonomous Systems career


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