This chapter explores the complex architecture and decision-making processes behind self-driving car technology, emphasizing safety frameworks and the balancing act between user experience and maintaining safety standards. It discusses sensor technology, comparing camera and LiDAR systems, and highlights the contrasting strategies of companies like Tesla and Waymo in their approaches to data collection and technological deployment. The chapter also addresses the maintenance challenges of such systems and the importance of transparency in the rapidly advancing field of autonomous vehicles.

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