L7: System Integration, Validation, and Future Directions¶
Bridge: From Components to Deployed System
Learning Objectives¶
Understand complete system architecture
Master validation and testing strategies
Learn safety assessment methods
Explore future trends and challenges
Outline¶
Part 1: System Architecture and Integration¶
Covers the overall architecture of autonomous vehicles integrating perception, prediction, planning, control, and decision modules. Discusses middleware frameworks such as ROS 2 and data synchronization.
Part 2: Validation and Testing¶
Explores simulation-based validation, hardware-in-the-loop (HIL), and on-road testing. Introduces test coverage, corner-case discovery, and scenario-based evaluation.
Part 3: Safety Standards and Certification¶
Reviews safety and regulatory frameworks including ISO 26262, SOTIF, and UL 4600. Discusses certification challenges for AI-driven systems.
Part 4: Data and Continuous Learning¶
Highlights the importance of data-driven updates and online learning. Covers fleet learning, data labeling pipelines, and domain adaptation.
Part 5: Future Trends and Open Challenges¶
Discusses trends such as V2X communication, cooperative perception, end-to-end learning, and digital twin-based validation. Identifies ongoing research challenges in robustness, generalization, and explainability.