A Brain-Inspired Perception-Decision Driving Model Based on Neural Pathway Anatomical Alignment

• URL: http://arxiv.org/abs/2502.16027v1
• Date: Sat, 22 Feb 2025 01:08:22 GMT
• Title: A Brain-Inspired Perception-Decision Driving Model Based on Neural Pathway Anatomical Alignment
• Abstract summary: We propose a novel brain-inspired driving (BID) framework for autonomous driving.<n>It harnesses brain-inspired perception technology to achieve more efficient and robust environmental perception.<n>It also employs brain-inspired decision-making techniques to facilitate intelligent decision-making.
• Score: 15.98131469205444
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In the realm of autonomous driving, conventional approaches for vehicle perception and decision-making primarily rely on sensor input and rule-based algorithms. However, these methodologies often suffer from lack of interpretability and robustness, particularly in intricate traffic scenarios. To tackle this challenge, we propose a novel brain-inspired driving (BID) framework. Diverging from traditional methods, our approach harnesses brain-inspired perception technology to achieve more efficient and robust environmental perception. Additionally, it employs brain-inspired decision-making techniques to facilitate intelligent decision-making. The experimental results show that the performance has been significantly improved across various autonomous driving tasks and achieved the end-to-end autopilot successfully. This contribution not only advances interpretability and robustness but also offers fancy insights and methodologies for further advancing autonomous driving technology.

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