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Bibliographic Details
Main Authors: He, Xu, Meng, Xiaolin, Yin, Wenxuan, Zhang, Youdong, Mo, Lingfei, An, Xiangdong, Yu, Fangwen, Pan, Shuguo, Liu, Yufeng, Liu, Jingnan, Zhang, Yujia, Gao, Wang
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2510.16771
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Table of Contents:
  • Developing universal Positioning, Navigation, and Timing (PNT) is our enduring goal. Today's complex environments demand PNT that is more resilient, energy-efficient and cognitively capable. This paper asks how we can endow unmanned systems with brain-inspired spatial cognition navigation while exploiting the high precision of machine PNT to advance universal PNT. We provide a new perspective and roadmap for shifting PNT from "tool-oriented" to "cognition-driven". Contributions: (1) multi-level dissection of differences among traditional PNT, biological brain PNT and brain-inspired PNT; (2) a four-layer (observation-capability-decision-hardware) fusion framework that unites numerical precision and brain-inspired intelligence; (3) forward-looking recommendations for future development of brain-inspired PNT.