Drone navigation
10 papers with code • 1 benchmarks • 1 datasets
(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.
Benchmarks
These leaderboards are used to track progress in Drone navigation
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University-1652
Latest papers with no code
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
Navigating drones through natural language commands remains challenging due to the dearth of accessible multi-modal datasets and the stringent precision requirements for aligning visual and textual data.
Urban Drone Navigation: Autoencoder Learning Fusion for Aerodynamics
Drones are vital for urban emergency search and rescue (SAR) due to the challenges of navigating dynamic environments with obstacles like buildings and wind.
Learning-Initialized Trajectory Planning in Unknown Environments
Autonomous flight in unknown environments requires precise planning for both the spatial and temporal profiles of trajectories, which generally involves nonconvex optimization, leading to high time costs and susceptibility to local optima.
Panoramas from Photons
Here we present a method capable of estimating extreme scene motion under challenging conditions, such as low light or high dynamic range, from a sequence of high-speed image frames such as those captured by a single-photon camera.
Drone navigation and license place detection for vehicle location in indoor spaces
This work is aimed at creating a solution based on a nano-drone that navigates across rows of parked vehicles and detects their license plates.
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones
Accurate navigation is of paramount importance to ensure flight safety and efficiency for autonomous drones.
Autonomous Systems: Autonomous Systems: Indoor Drone Navigation
Drones are a promising technology for autonomous data collection and indoor sensing.
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning
This work proposes a first-of-its-kind SLAM architecture fusing an event-based camera and a Frequency Modulated Continuous Wave (FMCW) radar for drone navigation.
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning
To address this challenge, we propose a reconfigurable architecture with preemptive exits for efficient deep RL (RAPID-RL).
Towards bio-inspired unsupervised representation learning for indoor aerial navigation
Aerial navigation in GPS-denied, indoor environments, is still an open challenge.
