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Xuchang Zhong

2 accepted papers

2026

HOLO: Homography-Guided Pose Estimator Network for Fine-Grained Visual Localization on SD Maps

CVPR 2026

Visual localization on standard-definition (SD) maps has emerged as a promising low-cost and scalable solution for autonomous driving. However, existing regression-based approaches often overlook inherent geometric priors, resulting in suboptimal training efficiency and limited localization accuracy

Cited by 0SourcecodeScholar
2025

IMVPR: Implicit BEV-Enhanced Multi-View Aggregation for Visual Place Recognition

IROS 2025

Visual Place Recognition (VPR) is essential for robotics and autonomous driving, enabling localization by matching current observations with a database of known places. While monocular VPR methods rely on visual features, they are sensitive to environmental changes, and multimodal approaches using L

Cited by 0SourceScholar