Gnss-denied unmanned aerial vehicle navigation: analyzing computational complexity, sensor fusion, and localization methodologies
Abstract Navigation without Global Navigation Satellite Systems (GNSS) poses a significant challenge in aerospace engineering, particularly in the environments where satellite signals are obstructed or unavailable. This paper offers an in-depth review of various methods, sensors, and algorithms for...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-04-01
|
| Series: | Satellite Navigation |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43020-025-00162-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849737540105404416 |
|---|---|
| author | Imen Jarraya Abdulrahman Al-Batati Muhammad Bilal Kadri Mohamed Abdelkader Adel Ammar Wadii Boulila Anis Koubaa |
| author_facet | Imen Jarraya Abdulrahman Al-Batati Muhammad Bilal Kadri Mohamed Abdelkader Adel Ammar Wadii Boulila Anis Koubaa |
| author_sort | Imen Jarraya |
| collection | DOAJ |
| description | Abstract Navigation without Global Navigation Satellite Systems (GNSS) poses a significant challenge in aerospace engineering, particularly in the environments where satellite signals are obstructed or unavailable. This paper offers an in-depth review of various methods, sensors, and algorithms for Unmanned Aerial Vehicle (UAV) localization in outdoor environments where GNSS signals are unavailable or denied. A key contribution of this study is the establishment of a critical classification system that divides GNSS-denied navigation techniques into two primary categories: absolute and relative localization. This classification enhances the understanding of the strengths and weaknesses of different strategies in various operational contexts. Vision-based localization is identified as the most effective approach in GNSS-denied environments. Nonetheless, it’s clear that no single-sensor-based localization algorithm can fulfill all the needs of a comprehensive navigation system in outdoor environments. Therefore, it’s vital to implement a hybrid strategy that merges various algorithms and sensors for effective outcomes. This detailed analysis emphasizes the challenges and possible solutions for achieving reliable and effective outdoor UAV localization in environments where GNSS is unreliable or unavailable. This multi-faceted analysis, highlights the complexities and potential pathways for achieving efficient and dependable outdoor UAV localization in GNSS-denied environments. |
| format | Article |
| id | doaj-art-d5e9204fcbf64c2dbc9f54f5e9290895 |
| institution | DOAJ |
| issn | 2662-9291 2662-1363 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Satellite Navigation |
| spelling | doaj-art-d5e9204fcbf64c2dbc9f54f5e92908952025-08-20T03:06:53ZengSpringerOpenSatellite Navigation2662-92912662-13632025-04-016113310.1186/s43020-025-00162-zGnss-denied unmanned aerial vehicle navigation: analyzing computational complexity, sensor fusion, and localization methodologiesImen Jarraya0Abdulrahman Al-Batati1Muhammad Bilal Kadri2Mohamed Abdelkader3Adel Ammar4Wadii Boulila5Anis Koubaa6College of Computer and Information Sciences, Prince Sultan UniversityCollege of Computer and Information Sciences, Prince Sultan UniversityCollege of Computer and Information Sciences, Prince Sultan UniversityCollege of Computer and Information Sciences, Prince Sultan UniversityCollege of Computer and Information Sciences, Prince Sultan UniversityCollege of Computer and Information Sciences, Prince Sultan UniversityCollege of Computer and Information Sciences, Prince Sultan UniversityAbstract Navigation without Global Navigation Satellite Systems (GNSS) poses a significant challenge in aerospace engineering, particularly in the environments where satellite signals are obstructed or unavailable. This paper offers an in-depth review of various methods, sensors, and algorithms for Unmanned Aerial Vehicle (UAV) localization in outdoor environments where GNSS signals are unavailable or denied. A key contribution of this study is the establishment of a critical classification system that divides GNSS-denied navigation techniques into two primary categories: absolute and relative localization. This classification enhances the understanding of the strengths and weaknesses of different strategies in various operational contexts. Vision-based localization is identified as the most effective approach in GNSS-denied environments. Nonetheless, it’s clear that no single-sensor-based localization algorithm can fulfill all the needs of a comprehensive navigation system in outdoor environments. Therefore, it’s vital to implement a hybrid strategy that merges various algorithms and sensors for effective outcomes. This detailed analysis emphasizes the challenges and possible solutions for achieving reliable and effective outdoor UAV localization in environments where GNSS is unreliable or unavailable. This multi-faceted analysis, highlights the complexities and potential pathways for achieving efficient and dependable outdoor UAV localization in GNSS-denied environments.https://doi.org/10.1186/s43020-025-00162-zUAV localizationGNSS-denied navigationAbsolute localizationRelative localizationVisual sensorsNon-visual sensors |
| spellingShingle | Imen Jarraya Abdulrahman Al-Batati Muhammad Bilal Kadri Mohamed Abdelkader Adel Ammar Wadii Boulila Anis Koubaa Gnss-denied unmanned aerial vehicle navigation: analyzing computational complexity, sensor fusion, and localization methodologies Satellite Navigation UAV localization GNSS-denied navigation Absolute localization Relative localization Visual sensors Non-visual sensors |
| title | Gnss-denied unmanned aerial vehicle navigation: analyzing computational complexity, sensor fusion, and localization methodologies |
| title_full | Gnss-denied unmanned aerial vehicle navigation: analyzing computational complexity, sensor fusion, and localization methodologies |
| title_fullStr | Gnss-denied unmanned aerial vehicle navigation: analyzing computational complexity, sensor fusion, and localization methodologies |
| title_full_unstemmed | Gnss-denied unmanned aerial vehicle navigation: analyzing computational complexity, sensor fusion, and localization methodologies |
| title_short | Gnss-denied unmanned aerial vehicle navigation: analyzing computational complexity, sensor fusion, and localization methodologies |
| title_sort | gnss denied unmanned aerial vehicle navigation analyzing computational complexity sensor fusion and localization methodologies |
| topic | UAV localization GNSS-denied navigation Absolute localization Relative localization Visual sensors Non-visual sensors |
| url | https://doi.org/10.1186/s43020-025-00162-z |
| work_keys_str_mv | AT imenjarraya gnssdeniedunmannedaerialvehiclenavigationanalyzingcomputationalcomplexitysensorfusionandlocalizationmethodologies AT abdulrahmanalbatati gnssdeniedunmannedaerialvehiclenavigationanalyzingcomputationalcomplexitysensorfusionandlocalizationmethodologies AT muhammadbilalkadri gnssdeniedunmannedaerialvehiclenavigationanalyzingcomputationalcomplexitysensorfusionandlocalizationmethodologies AT mohamedabdelkader gnssdeniedunmannedaerialvehiclenavigationanalyzingcomputationalcomplexitysensorfusionandlocalizationmethodologies AT adelammar gnssdeniedunmannedaerialvehiclenavigationanalyzingcomputationalcomplexitysensorfusionandlocalizationmethodologies AT wadiiboulila gnssdeniedunmannedaerialvehiclenavigationanalyzingcomputationalcomplexitysensorfusionandlocalizationmethodologies AT aniskoubaa gnssdeniedunmannedaerialvehiclenavigationanalyzingcomputationalcomplexitysensorfusionandlocalizationmethodologies |