4 citations · 9 across the 13 of their papers we have counts for
7 papers · 1 filter
LEADER: Learning Reliable Local-to-Global Correspondences for LiDAR Relocalization
Jianshi Wu, Minghang Zhu, Dunqiang Liu +5
LiDAR relocalization has attracted increasing attention as it can deliver accurate 6-DoF pose estimation in complex 3D environments. Recent learning-based regression methods offer…
LightLoc: Learning Outdoor LiDAR Localization at Light Speed
Wen Li, Chen Liu, Shangshu Yu +5
Scene coordinate regression achieves impressive results in outdoor LiDAR localization but requires days of training. Since training needs to be repeated for each new scene, long tr…
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery
Ziwei Shi, Xiaoran Zhang, Wenjing Xu +4
We tackle the challenge of LiDAR-based place recognition, which traditionally depends on costly and time-consuming prior 3D maps. To overcome this, we first construct LiRSI-XA data…
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration
Kezheng Xiong, Haoen Xiang, Qingshan Xu +4
Point cloud registration, a fundamental task in 3D vision, has achieved remarkable success with learning-based methods in outdoor environments. Unsupervised outdoor point cloud reg…
ConDo: Continual Domain Expansion for Absolute Pose Regression
Zijun Li, Zhipeng Cai, Bochun Yang +5
Visual localization is a fundamental machine learning problem. Absolute Pose Regression (APR) trains a scene-dependent model to efficiently map an input image to the camera pose in…
A New Adversarial Perspective for LiDAR-based 3D Object Detection
Shijun Zheng, Weiquan Liu, Yu Guo +3
Autonomous vehicles (AVs) rely on LiDAR sensors for environmental perception and decision-making in driving scenarios. However, ensuring the safety and reliability of AVs in comple…