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In current meta of Artificial Intelligence and Machine Learning, Self-Driving has gained a lot of popularity. Due to one-on-many usages of the technology, it becomes a massive challenge to deliver edge-driven technology. Self-Driving Car has various sections to it, like Lane Detection, Object Detection, Autonomous Driving Control, etc. Instead of opting for a traditional method for Machine Learning algorithms, we focused on Reinforcement Learning. In this paper, we discuss about various reinforcement learning challenges, solutions and results for it. This paper also talks about the Evolutionary Algorithms.

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Review of Self-driving Car Based on NEAT Algorithm

  • 会议论文

  • 发表日期：

    2025年

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  • Om Hotkar,
  • Prahas Nambiar,
  • Amol Dhumane,
  • Shwetambari Chiwhane,
  • Aditi Sharma,
  • Deepak Dharrao,
  • Vishal Meshram

摘要

In current meta of Artificial Intelligence and Machine Learning, Self-Driving has gained a lot of popularity. Due to one-on-many usages of the technology, it becomes a massive challenge to deliver edge-driven technology. Self-Driving Car has various sections to it, like Lane Detection, Object Detection, Autonomous Driving Control, etc. Instead of opting for a traditional method for Machine Learning algorithms, we focused on Reinforcement Learning. In this paper, we discuss about various reinforcement learning challenges, solutions and results for it. This paper also talks about the Evolutionary Algorithms.