LumiLoc: A Low-Light-Optimized Visual Localization Framework for Autonomous Drones

LumiLoc: A Low-Light-Optimized Visual Localization Framework for Autonomous Drones

In low-light conditions, UAV localization faces substantial challenges due to reduced visibility, elevated noise levels, and diminished contrast. To address these issues, we propose a low-light-optimized visual localization framework that integrates an attention-based image enhancement module, a rob...

Full description

Saved in:
Bibliographic Details
Main Authors: Ruokun Qu, Zhiyuan Wang, Yelu Liu, Chenglong Li, Hui Jiang, Chen Fang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Aerospace
Subjects:
low-light UAV localization
image enhancement
feature extraction
pose estimation
noise robustness
dynamic lighting adaptability
Online Access:https://www.mdpi.com/2226-4310/12/6/454
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items