Exploring Deep Learning-Based Visual Localization Techniques for UAVs in GPS-Denied Environments

• Published in: IEEE access Vol. 12; pp. 113049 - 113071
• Main Authors: Al-Jarrah, Omar Y., Shatnawi, Ahmed S., Shurman, Mohammad M., Ramadan, Omar A., Muhaidat, Sami
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Autonomous aerial vehicles; Deep learning; Global navigation satellite system; Global positioning systems; GPS; GPS-denied; Localization; Location awareness; Navigation; Navigation systems; Reviews; Satellite navigation systems; Signal reflection; Spoofing; Template matching; UAVs; Unmanned aerial vehicles; visual localization; Visualization

Unmanned Aerial Vehicles (UAVs) have proliferated across diverse domains. However, optimal UAV operations necessitate precise and reliable navigation systems. UAVs predominantly rely on the Global Navigation Satellite System (GNSS), such as the Global Positioning System (GPS), for navigation. Nevert...