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 26–40 of 40 papers

TitleStatusHype
DDOS: The Drone Depth and Obstacle Segmentation Dataset—0
Deep Convolutional Neural Network-Based Autonomous Drone Navigation—0
Drone navigation and license place detection for vehicle location in indoor spaces—0
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning—0
Hybrid Artificial Intelligence Strategies for Drone Navigation—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
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning—0
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images—0
Physical Passive Patch Adversarial Attacks on Visual Odometry SystemsCode0
Straight to Shapes++: Real-time Instance Segmentation Made More AccurateCode0
Drone Path-Following in GPS-Denied Environments using Convolutional NetworksCode0
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal RepresentationsCode0
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