A Survey on Neuromorphic Navigation: Implementation Resources, Challenges and Perspectives

Although traditional navigation technologies have seen continued progress, they remain constrained by persistent issues such as high power consumption, significant latency, and limited dynamic adaptability, especially in challenging environments like urban canyons and underground spaces. Neuromorphic technologies, leveraging event-driven sensing, spike-based computing, and brain-inspired compute-in-memory, offer a promising new avenue to overcome these limitations. However, as an emerging field, neuromorphic navigation currently lacks dedicated survey efforts to systematically map the ecosystem and resources that support its development. Motivated by this, this survey provides a comprehensive overview of implementation resources across three key dimensions: data, hardware, and software. Building on this foundation, we identify main challenges, including the absence of evaluation benchmarks, fragmented ecosystem resources, the lack of a full-stack theoretical framework, and emerging concerns regarding security, trust, and data privacy. We also propose perspectives aimed at supporting community-driven growth and ecosystem maturation. A curated list of resources is available at: https://github.com/BINUCOE/Awesome-Neuromorphic-Navigation-Resources.