NavBLIP: a visual-language model for enhancing unmanned aerial vehicles navigation and object detection

NavBLIP: a visual-language model for enhancing unmanned aerial vehicles navigation and object detection

IntroductionIn recent years, Unmanned Aerial Vehicles (UAVs) have increasingly been deployed in various applications such as autonomous navigation, surveillance, and object detection. Traditional methods for UAV navigation and object detection have often relied on either handcrafted features or unim...

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Bibliographic Details
Main Authors: Ye Li, Li Yang, Meifang Yang, Fei Yan, Tonghua Liu, Chensi Guo, Rufeng Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Neurorobotics
Subjects:
UAV navigation
object detection
multimodal learning
transfer learning
computational efficiency
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2024.1513354/full
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