AI RESEARCH
EdgeLPR: On the Deep Neural Network trade-off between Precision and Performance in LiDAR Place Recognition
arXiv CS.CV
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ArXi:2605.02275v1 Announce Type: new Place recognition is essential for long-term autonomous navigation, enabling loop closure and consistent mapping. Although deep learning has improved performance, deploying such models on resource-constrained platforms remains challenging. This work explores efficient LiDAR-based place recognition for EdgeAI by leveraging Bird's Eye View representations to enable lightweight image-based networks.