Robustness-aware 3d object detection in autonomous driving: A review and outlook

Z Song, L Liu, F Jia, Y Luo, C Jia… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …

Multi-modal data-efficient 3d scene understanding for autonomous driving

L Kong, X Xu, J Ren, W Zhang, L Pan… - … on Pattern Analysis …, 2025 - ieeexplore.ieee.org
Efficient data utilization is crucial for advancing 3D scene understanding in autonomous
driving, where reliance on heavily human-annotated LiDAR point clouds challenges fully …

Calib3d: Calibrating model preferences for reliable 3d scene understanding

L Kong, X Xu, J Cen, W Zhang, L Pan, K Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
Safety-critical 3D scene understanding tasks necessitate not only accurate but also
confident predictions from 3D perception models. This study introduces Calib3D, a …

Is your lidar placement optimized for 3d scene understanding?

Y Li, L Kong, H Hu, X Xu, X Huang - The Thirty-eighth Annual …, 2024 - openreview.net
The reliability of driving perception systems under unprecedented conditions is crucial for
practical usage. Latest advancements have prompted increasing interest in multi-LiDAR …

An empirical study of training state-of-the-art LiDAR segmentation models

J Sun, C Qing, X Xu, L Kong, Y Liu, L Li, C Zhu… - arxiv preprint arxiv …, 2024 - arxiv.org
In the rapidly evolving field of autonomous driving, precise segmentation of LiDAR data is
crucial for understanding complex 3D environments. Traditional approaches often rely on …