Module #1 Introduction to Autonomous Vehicles Overview of autonomous vehicles, benefits, and challenges
Module #2 Sensor Systems Overview Types of sensor systems used in autonomous vehicles, sensor fusion, and data processing
Module #3 Computer Vision for Autonomous Vehicles Introduction to computer vision, camera types, and image processing techniques
Module #4 Camera Sensor Technology Camera sensor types, resolutions, and lens designs for autonomous vehicles
Module #5 Image Processing for Object Detection Image processing techniques for object detection, segmentation, and tracking
Module #6 Lidar Technology Introduction to lidar technology, types, and applications in autonomous vehicles
Module #7 Lidar Sensor Quality and Performance Factors affecting lidar sensor quality and performance, resolution, and range
Module #8 Radar Technology Introduction to radar technology, types, and applications in autonomous vehicles
Module #9 Radar Sensor Signal Processing Radar signal processing techniques, frequency modulation, and Doppler shift
Module #10 Ultrasonic Sensors Introduction to ultrasonic sensors, types, and applications in autonomous vehicles
Module #11 Inertial Measurement Units (IMUs) Introduction to IMUs, types, and applications in autonomous vehicles
Module #12 GPS and GNSS for Autonomous Vehicles Introduction to GPS and GNSS, precision, and accuracy in autonomous vehicles
Module #13 Sensor Fusion and Data Integration Methods for sensor fusion, data integration, and Kalman filters
Module #14 Object Detection and Tracking Object detection and tracking algorithms, egomotion estimation, and odometry
Module #15 Sensor System Calibration and Validation Methods for sensor system calibration, validation, and fault detection
Module #16 Advanced Sensor Systems for Autonomous Vehicles Emerging sensor technologies, such as solid-state lidar and photonics-based sensors
Module #17 Case Studies:Autonomous Vehicle Sensor Systems Real-world case studies of autonomous vehicle sensor systems, successes, and challenges
Module #18 Future of Autonomous Vehicle Sensor Systems Trends, opportunities, and challenges in the development of autonomous vehicle sensor systems
Module #19 Sensor System Design and Development Principles and best practices for designing and developing sensor systems for autonomous vehicles
Module #20 Sensor System Testing and Validation Methods and tools for testing and validating sensor systems for autonomous vehicles
Module #21 Cybersecurity for Autonomous Vehicle Sensor Systems Threats, vulnerabilities, and countermeasures for securing autonomous vehicle sensor systems
Module #22 Regulations and Standards for Autonomous Vehicle Sensor Systems Overview of regulations, standards, and guidelines for autonomous vehicle sensor systems
Module #23 Business and Market Trends Market trends, business opportunities, and challenges in the autonomous vehicle sensor industry
Module #24 Autonomous Vehicle Sensor System Design Projects Guided design projects for developing autonomous vehicle sensor systems
Module #25 Sensor System Simulation and Modeling Simulation and modeling techniques for sensor systems, sensor modeling, and scenario simulation
Module #26 Sensor System Optimization and Tuning Methods for optimizing and tuning sensor systems for autonomous vehicles
Module #27 Sensor System Integration and Validation Methods for integrating and validating sensor systems with autonomy software and hardware
Module #28 Autonomous Vehicle Sensor System Reliability and Durability Methods for ensuring reliability and durability of autonomous vehicle sensor systems
Module #29 Advanced Topics in Autonomous Vehicle Sensor Systems Selected advanced topics in autonomous vehicle sensor systems, such as swarm intelligence and sensor networks
Module #30 Course Wrap-Up & Conclusion Planning next steps in Advanced Sensor Systems for Autonomous Vehicles career
