MPVF: Multi-Modal 3D Object Detection Algorithm with Pointwise and Voxelwise Fusion
3D object detection plays a pivotal role in achieving accurate environmental perception, particularly in complex traffic scenarios where single-modal detection methods often fail to meet precision requirements. This highlights the necessity of multi-modal fusion approaches to enhance detection perfo...
Saved in:
| Main Authors: | Peicheng Shi, Wenchao Wu, Aixi Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/3/172 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Att-BEVFusion: An Object Detection Algorithm for Camera and LiDAR Fusion Under BEV Features
by: Peicheng Shi, et al.
Published: (2024-11-01) -
A survey of 3D object detection algorithms
by: Zhe HUANG, et al.
Published: (2023-03-01) -
Height-Adaptive Deformable Multi-Modal Fusion for 3D Object Detection
by: Jiahao Li, et al.
Published: (2025-01-01) -
DMformer: a transformer with denoising and multi-modal data fusion for enhancing BEV perception
by: Xuefeng Bao, et al.
Published: (2025-07-01) -
CL-fusionBEV: 3D object detection method with camera-LiDAR fusion in Bird’s Eye View
by: Peicheng Shi, et al.
Published: (2024-07-01)