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Navigating the Complexities of Autonomous Driving Training
This chapter explores the intricacies of training strategies in autonomous driving, comparing end-to-end training methods with traditional subsystem approaches. It emphasizes the importance of thorough validation, including comprehensive testing frameworks and expert input, to ensure safety and effectiveness in unique driving scenarios. The discussion also highlights the ongoing development of challenges and datasets that foster innovation in the field of autonomous driving technology.