SOTAVerified

Drone navigation

(Satellite -> Drone) Given one satellite-view image, the drone intends to find the most relevant place (drone-view images) that it has passed by. According to its flight history, the drone could be navigated back to the target place.

Papers

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Showing 21–30 of 40 papers

TitleStatusHype
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images—0
SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum—0
Towards bio-inspired unsupervised representation learning for indoor aerial navigation—0
Urban Drone Navigation: Autoencoder Learning Fusion for Aerodynamics—0
3D map creation using crowdsourced GNSS data—0
VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping—0
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones—0
A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives—0
An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation—0
ASMA: An Adaptive Safety Margin Algorithm for Vision-Language Drone Navigation via Scene-Aware Control Barrier Functions—0
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