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Xubo Zhu

3 accepted papers

2026

Dr.Occ: Depth- and Region-Guided 3D Occupancy from Surround-View Cameras for Autonomous Driving

CVPR 2026

3D semantic occupancy prediction is crucial for autonomous driving perception, offering comprehensive geometric scene understanding and semantic recognition. However, existing methods struggle with geometric misalignment in view transformation due to lack of pixel-level accurate depth estimation, an

Cited by 0SourceScholar
2026

I2D-LocX: An Efficient, Precise and Robust Method for Camera Localization in LiDAR Maps

ICRA 2026poster

Camera localization within LiDAR maps has gained significant attention due to its potential for accurate positioning with low-cost and lightweight sensors compared to LiDAR-based systems. However, existing methods often prioritize localization accuracy, sometimes compromising efficiency, which can l…

Cited by 0SourceScholar
2025

I2D-LocX: An Efficient, Precise and Robust Method for Camera Localization in LiDAR Maps

RA-L 2025

Camera localization within LiDAR maps has gained significant attention due to its potential for accurate positioning with low-cost and lightweight sensors compared to LiDAR-based systems. However, existing methods often prioritize localization accuracy, sometimes compromising efficiency, which can l

Cited by 2SourceScholar