Attention-Based LiDAR–Camera Fusion for 3D Object Detection in Autonomous Driving
In multi-vehicle traffic scenarios, achieving accurate environmental perception and motion trajectory tracking through LiDAR–camera fusion is critical for downstream vehicle planning and control tasks. To address the challenges of cross-modal feature interaction in LiDAR–image fusion and the low rec...
Saved in:
| Main Authors: | Zhibo Wang, Xiaoci Huang, Zhihao Hu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/16/6/306 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LiGenCam: Reconstruction of Color Camera Images from Multimodal LiDAR Data for Autonomous Driving
by: Minghao Xu, et al.
Published: (2025-07-01) -
Robust Extrinsic Calibration for LiDAR-Camera Systems via Depth and Height Complementary Supervision Network
by: Chen Yaqing, et al.
Published: (2025-01-01) -
Cross-Supervised LiDAR-Camera Fusion for 3D Object Detection
by: Chao Jie Zuo, et al.
Published: (2025-01-01) -
A Method of Simultaneous Vehicle Localization and Roadside Pole-shaped Object Inventory Creation Based on Integrated LiDAR-IMU-GNSS System
by: YUAN Chao, et al.
Published: (2024-02-01) -
A Method for the Calibration of a LiDAR and Fisheye Camera System
by: Álvaro Martínez, et al.
Published: (2025-02-01)