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Found 5 papers, 1 papers with code
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps
The experimental results show that our method achieves centimeter-level localization accuracy, and outperforms existing methods using vectorized maps by a large margin.
A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation
For overlap detection, a cross-attention module is applied for interacting contextual information of input point clouds, followed by a classification head to estimate the overlapping region.
DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving
We present a visual localization framework based on novel deep attention aware features for autonomous driving that achieves centimeter level localization accuracy.
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration
We present DeepICP - a novel end-to-end learning-based 3D point cloud registration framework that achieves comparable registration accuracy to prior state-of-the-art geometric methods.
Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes
We present a robust and precise localization system that achieves centimeter-level localization accuracy in disparate city scenes.
