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.

Latest papers with no code

Towards bio-inspired unsupervised representation learning for indoor aerial navigation

no code yet • 17 Jun 2021

Aerial navigation in GPS-denied, indoor environments, is still an open challenge.

3D map creation using crowdsourced GNSS data

no code yet • 31 May 2021

This enables us to find the patterns of GNSS signal availability and create 3D maps.

On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation

no code yet • 26 May 2021

In this work we showcase the design and assessment of the performance of a multi-camera UAV, when coupled with state-of-the-art planning and mapping algorithms for autonomous navigation.

VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping

no code yet • 7 Apr 2021

The drone navigation requires the comprehensive understanding of both visual and geometric information in the 3D world.

Learn by Observation: Imitation Learning for Drone Patrolling from Videos of A Human Navigator

no code yet • 30 Aug 2020

Extensive experiments are conducted to demonstrate the accuracy of the proposed imitating learning process as well as the reliability of the holistic system for autonomous drone navigation.

Deep Convolutional Neural Network-Based Autonomous Drone Navigation

no code yet • 5 May 2019

This paper presents a novel approach for aerial drone autonomous navigation along predetermined paths using only visual input form an onboard camera and without reliance on a Global Positioning System (GPS).