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Detection and Classification of Pole-like Landmarks for Domain-invariant 3D Point Cloud Map Matching. (arXiv:2305.06845v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
In 3D point cloud-based visual self-localization, pole landmarks have a great
potential as landmarks for accurate and reliable localization due to their
long-term stability under seasonal and weather changes. In this study, we aim
to explore the use of recently developed deep learning models for pole
classification in the context of pole landmark-based self-localization.
Specifically, the proposed scheme consists of two main modules: pole map
matching and pole class matching. In the former module, local pole map is
constructed and …
aim arxiv classification cloud cloud-based deep learning detection localization long-term map study weather