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Xiaofei Rui

2 accepted papers

2024

EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps

IROS 2024poster

Accurate and reliable ego-localization is critical for autonomous driving. In this paper, we present EgoVM, an end-to-end localization network that achieves comparable localization accuracy to prior state-of-the-art methods, but uses lightweight vectorized maps instead of heavy point-based maps. To…

Cited by 10SourceScholar
2020

DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving

ECCV 2020poster

We present a visual localization framework based on novel deep attention aware features for autonomous driving that achieves centimeter level localization accuracy. Conventional approaches to the visual localization problem rely on handcrafted features or human-made objects on the road. They are kno…

Cited by 57SourcePDFScholar