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This chapter discusses the economic potential and technical challenges of self-driving cars, focusing on perception, prediction, and planning. It highlights the role of neural networks in environment modeling and trajectory optimization while addressing safety concerns related to AI robustness and regulatory compliance. The chapter also explores the growing interest in end-to-end neural planners and the hurdles in commercialization and real-world deployment.

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Self-Driving Vehicles

  • 章节

  • 发表日期：

    2025年

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  • Alishba Imran,
  • Keerthana Gopalakrishnan

摘要

This chapter discusses the economic potential and technical challenges of self-driving cars, focusing on perception, prediction, and planning. It highlights the role of neural networks in environment modeling and trajectory optimization while addressing safety concerns related to AI robustness and regulatory compliance. The chapter also explores the growing interest in end-to-end neural planners and the hurdles in commercialization and real-world deployment.