BEVFusion With Dual Hard Instance Probing for Multimodal 3D Object Detection
False negatives (FN) in 3D object detection, which occur when small, distant, or hidden objects are missed, pose significant safety risks in autonomous driving systems. Recent multi-modal fusion methods have been proposed to enhance 3D object detection by combining the geometric accuracy of LiDAR po...
Saved in:
Main Authors: | Taeho Kim, Joohee Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10872908/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A scalable multi-modal learning fruit detection algorithm for dynamic environments
by: Liang Mao, et al.
Published: (2025-02-01) -
RGB-D salient object detection based on BC2 FNet network
by: WANG Feng, et al.
Published: (2024-12-01) -
View adaptive multi-object tracking method based on depth relationship cues
by: Haoran Sun, et al.
Published: (2025-01-01) -
A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation
by: Xi Chen, et al.
Published: (2025-01-01) -
Predicting amyloid proteins using attention-based long short-term memory
by: Zhuowen Li
Published: (2025-02-01)