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Related Experiment Video

Updated: May 11, 2026

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

Visual Navigation Algorithms for Aircraft Fusing Neural Networks in Denial Environments.

Yang Gao¹, Yue Wang¹, Lingyun Tian¹

¹School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)

|August 10, 2024

Summary

This study introduces a lightweight visual navigation algorithm for aircraft, enhancing accuracy in satellite-denied environments. The neural network-fused approach improves aircraft edge computing performance and robustness.

Keywords:

UAV denial environment visual navigation

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Area of Science:

Aerospace Engineering
Computer Vision
Artificial Intelligence

Background:

Aircraft edge computing platforms face limitations in processing power, especially in satellite-denied environments.
Complex operational scenarios require robust navigation solutions independent of external signals.

Purpose of the Study:

To develop a lightweight visual navigation algorithm for aircraft edge computing.
To enhance navigation accuracy and robustness in satellite-denied and complex environments.

Main Methods:

Fusion of neural networks with visual navigation techniques.
Utilization of object detection for dynamic object labeling.
Implementation of dynamic feature point elimination for improved feature extraction.

Main Results:

The proposed algorithm significantly improves navigation accuracy.
Demonstrated high robustness compared to existing methods like monocular ORB-SLAM2.
Validated on both public datasets (TUM) and physical flight experiments.

Conclusions:

The developed algorithm effectively addresses computational constraints in aircraft edge computing.
Achieves superior navigation performance and robustness in challenging operational conditions.
Suitable for real-time applications in satellite-denied scenarios.