NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
Point Cloud Interpolation confronts challenges from point sparsity, complex spatiotemporal
dynamics, and the difficulty of deriving complete 3D point clouds from sparse temporal …
dynamics, and the difficulty of deriving complete 3D point clouds from sparse temporal …
Monocular 3D object detection with thermodynamic loss and decoupled instance depth
G Liu, X **e, Q Yu - Connection Science, 2024 - Taylor & Francis
Monocular 3D detection is to obtain the 3D information of the object from the image. The
mainstream methods mainly use L1 loss or L1-like loss to control the instance depth …
mainstream methods mainly use L1 loss or L1-like loss to control the instance depth …
Image-to-Point Registration via Cross-Modality Correspondence Retrieval
L Bie, S Li, K Cheng - Proceedings of the 2024 International Conference …, 2024 - dl.acm.org
Image-to-Point Cloud registration between 2D images and 3D LiDAR point clouds is a
significant task in computer vision. The traditional registration pipeline first establishes …
significant task in computer vision. The traditional registration pipeline first establishes …
Build a Cross-modality Bridge for Image-to-Point Cloud Registration
L Bie, S Pan, K Cheng, L Han - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Although the fusion of images and LiDAR point clouds is crucial to many applications in
computer vision, the relative poses of cameras and LiDAR scanners often need to be …
computer vision, the relative poses of cameras and LiDAR scanners often need to be …
Low-Cost Fusion Odometry Algorithm Based on 4D Radar and Pseudo-LiDAR: Bridging the Gap between 4D Radar and Images in 3D Space
M Huang, S Lu, G Zhuo - 2024 - sae.org
Abstract Recently, four-dimensional (4D) radar has shown unique advantages in the field of
odometry estimation due to its low cost, all-weather use, and dynamic and static recognition …
odometry estimation due to its low cost, all-weather use, and dynamic and static recognition …
[PDF][PDF] DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment (Supplementary Materials)
J Liu, D Zhuo, Z Feng, S Zhu, C Peng, Z Liu, H Wang - fq.pkwyx.com
In this supplementary material, we provide additional details about our network and show
more experimental results of the proposed methods. In Sec. 1, we illustrate more …
more experimental results of the proposed methods. In Sec. 1, we illustrate more …