MonoDFNet: Monocular 3D Object Detection with Depth Fusion and Adaptive Optimization

MonoDFNet: Monocular 3D Object Detection with Depth Fusion and Adaptive Optimization

Monocular 3D object detection refers to detecting 3D objects using a single camera. This approach offers low sensor costs, high resolution, and rich texture information, making it widely adopted. However, monocular sensors face challenges from environmental factors like occlusion and truncation, lea...

Full description

Saved in:
Bibliographic Details
Main Authors: Yuhan Gao, Peng Wang, Xiaoyan Li, Mengyu Sun, Ruohai Di, Liangliang Li, Wei Hong
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
deep learning
monocular 3D detection
depth estimation
Online Access:https://www.mdpi.com/1424-8220/25/3/760
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items