English(EN) SDPAD: A Fully Spike-Driven Pipeline for End-to-End Autonomous Driving

脉冲神经网络在自动驾驶中实现高精度和低能耗

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-09 04:00

研究人员开发了SDPAD，一种用于端到端自动驾驶的新型流水线，它利用脉冲神经网络（SNN）以显著降低的能耗实现高精度。该方法将预训练的人工神经网络（ANN）感知模型转换为脉冲驱动格式，从而实现高效处理。SDPAD在nuScenes和NAVSIM等基准测试中展示了与强大的ANN规划器相当的性能，同时能耗却不到2%，使其成为边缘部署的有前途的解决方案。 AI

影响证明了脉冲神经网络在复杂的驾驶任务中可以与密集ANN相媲美，为更节能的自动驾驶系统铺平了道路。

排序理由该集群包含一篇详细介绍使用脉冲神经网络进行自动驾驶新方法的 ist 研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Chengjun Zhang, Yuhao Zhang, Jie Yang, Mohamad Sawan · 2026-10-09 04:00

SDPAD：全脉冲驱动的端到端自动驾驶流水线

arXiv:2610.11583v1 Announce Type: cross Abstract: End-to-end autonomous driving demands trajectory planners that are both highly accurate and cheap enough for edge deployment. State-of-the-art artificial neural network (ANN) planners meet the accuracy requirement at the cost of h…

本文如何被排名

报道来源 [1]

SDPAD：全脉冲驱动的端到端自动驾驶流水线

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