BTC: A Binary and Triangle Combined Descriptor for 3D Place Recognition
Accurate and robust place recognition is essential for robot navigation, yet achieving full
pose invariance and high performance across diverse scenes remains challenging. In this …
pose invariance and high performance across diverse scenes remains challenging. In this …
CRPlace: Camera-Radar Fusion with BEV Representation for Place Recognition
The integration of complementary characteristics from camera and radar data has emerged
as an effective approach in 3D object detection. However, such fusion-based methods …
as an effective approach in 3D object detection. However, such fusion-based methods …
MVSE-Net: A Multi-View Deep Network With Semantic Embedding for LiDAR Place Recognition
J Zhang, Y Zhang, L Rong, R Tian… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Place recognition is a critical technology in robot navigation and autonomous driving,
remains challenging due to inefficient point cloud computation, limited feature …
remains challenging due to inefficient point cloud computation, limited feature …
Rotation Initialization and Stepwise Refinement for Universal LiDAR Calibration
Autonomous systems often employ multiple LiDARs to leverage the integrated advantages,
enhancing perception and robustness. The most critical prerequisite under this setting is the …
enhancing perception and robustness. The most critical prerequisite under this setting is the …