Multi-Task Foreground-Aware Network with Depth Completion for Enhanced RGB-D Fusion Object Detection Based on Transformer

Multi-Task Foreground-Aware Network with Depth Completion for Enhanced RGB-D Fusion Object Detection Based on Transformer

Fusing multiple sensor perceptions, specifically LiDAR and camera, is a prevalent method for target recognition in autonomous driving systems. Traditional object detection algorithms are limited by the sparse nature of LiDAR point clouds, resulting in poor fusion performance, especially for detectin...

Full description

Bibliographic Details
Main Authors: Jiasheng Pan, Songyi Zhong, Tao Yue, Yankun Yin, Yanhao Tang
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Sensors
Subjects:
point cloud data
YOLO
Transformer
multi-source feature fusion
depth completion
Online Access:https://www.mdpi.com/1424-8220/24/7/2374

Internet

https://www.mdpi.com/1424-8220/24/7/2374

Similar Items