RETRACTED ARTICLE: Obstacles Uncovering System for Slender Pathways Using Unmanned Aerial Vehicles with Automatic Image Localization Technique
Abstract In this study, unidentified flying machines are built with real-time monitoring in mid-course settings for obstacle avoidance in mind. The majority of the currently available methods are implemented as comprehensive monitoring systems, with significant success in monitored applications like...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-10-01
|
| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-023-00344-0 |
| _version_ | 1797233277456613376 |
|---|---|
| author | Shitharth Selvarajan Hariprasath Manoharan Alaa O. Khadidos Achyut Shankar Adil O. Khadidos Edeh Michael Onyema |
| author_facet | Shitharth Selvarajan Hariprasath Manoharan Alaa O. Khadidos Achyut Shankar Adil O. Khadidos Edeh Michael Onyema |
| author_sort | Shitharth Selvarajan |
| collection | DOAJ |
| description | Abstract In this study, unidentified flying machines are built with real-time monitoring in mid-course settings for obstacle avoidance in mind. The majority of the currently available methods are implemented as comprehensive monitoring systems, with significant success in monitored applications like bridges, railways, etc. So, the predicted model is developed exclusively for specific monitoring settings, as opposed to the broad conditions that are used by the current approaches. Also, in the design model, the first steps are taken by limiting the procedure to specific heights, and the input thrust that is provided for take up operation is kept to a minimum. Due to the improved altitudes, the velocity and acceleration units have been cranked up on purpose, making it possible to sidestep intact objects. In addition, Advanced Image Mapping Localization (AIML) is used to carry out the implementation process, which identifies stable sites at the correct rotation angle. Besides, Cyphal protocol integration improves the security of the data-gathering process by transmitting information gathered from sensing devices. The suggested system is put to the test across five different case studies, where the designed Unmanned aerial vehicle can able to detect 25 obstacles in the narrow paths in considered routs but existing approach can able to identify only 14 obstacle in the same routes. |
| first_indexed | 2024-03-10T17:04:14Z |
| format | Article |
| id | doaj.art-bcfd9aef12f748d5845bd0359cf49178 |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-04-24T16:13:37Z |
| publishDate | 2023-10-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-bcfd9aef12f748d5845bd0359cf491782024-03-31T11:35:01ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832023-10-0116111410.1007/s44196-023-00344-0RETRACTED ARTICLE: Obstacles Uncovering System for Slender Pathways Using Unmanned Aerial Vehicles with Automatic Image Localization TechniqueShitharth Selvarajan0Hariprasath Manoharan1Alaa O. Khadidos2Achyut Shankar3Adil O. Khadidos4Edeh Michael Onyema5Department of Computer Science, Kebri Dehar UniversityDepartment of Electronics and Communication Engineering, Panimalar Engineering CollegeDepartment of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz UniversitySecure Cyber Systems Research Group (SCSRG), WMG, University of WarwickDepartment of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz UniversityMathematics and Computer Science, Coal City UniversityAbstract In this study, unidentified flying machines are built with real-time monitoring in mid-course settings for obstacle avoidance in mind. The majority of the currently available methods are implemented as comprehensive monitoring systems, with significant success in monitored applications like bridges, railways, etc. So, the predicted model is developed exclusively for specific monitoring settings, as opposed to the broad conditions that are used by the current approaches. Also, in the design model, the first steps are taken by limiting the procedure to specific heights, and the input thrust that is provided for take up operation is kept to a minimum. Due to the improved altitudes, the velocity and acceleration units have been cranked up on purpose, making it possible to sidestep intact objects. In addition, Advanced Image Mapping Localization (AIML) is used to carry out the implementation process, which identifies stable sites at the correct rotation angle. Besides, Cyphal protocol integration improves the security of the data-gathering process by transmitting information gathered from sensing devices. The suggested system is put to the test across five different case studies, where the designed Unmanned aerial vehicle can able to detect 25 obstacles in the narrow paths in considered routs but existing approach can able to identify only 14 obstacle in the same routes.https://doi.org/10.1007/s44196-023-00344-0Unmanned aerial vehicle (UAV)CyphalAdvanced image mapping localization (AIML)Obstacle detection |
| spellingShingle | Shitharth Selvarajan Hariprasath Manoharan Alaa O. Khadidos Achyut Shankar Adil O. Khadidos Edeh Michael Onyema RETRACTED ARTICLE: Obstacles Uncovering System for Slender Pathways Using Unmanned Aerial Vehicles with Automatic Image Localization Technique International Journal of Computational Intelligence Systems Unmanned aerial vehicle (UAV) Cyphal Advanced image mapping localization (AIML) Obstacle detection |
| title | RETRACTED ARTICLE: Obstacles Uncovering System for Slender Pathways Using Unmanned Aerial Vehicles with Automatic Image Localization Technique |
| title_full | RETRACTED ARTICLE: Obstacles Uncovering System for Slender Pathways Using Unmanned Aerial Vehicles with Automatic Image Localization Technique |
| title_fullStr | RETRACTED ARTICLE: Obstacles Uncovering System for Slender Pathways Using Unmanned Aerial Vehicles with Automatic Image Localization Technique |
| title_full_unstemmed | RETRACTED ARTICLE: Obstacles Uncovering System for Slender Pathways Using Unmanned Aerial Vehicles with Automatic Image Localization Technique |
| title_short | RETRACTED ARTICLE: Obstacles Uncovering System for Slender Pathways Using Unmanned Aerial Vehicles with Automatic Image Localization Technique |
| title_sort | retracted article obstacles uncovering system for slender pathways using unmanned aerial vehicles with automatic image localization technique |
| topic | Unmanned aerial vehicle (UAV) Cyphal Advanced image mapping localization (AIML) Obstacle detection |
| url | https://doi.org/10.1007/s44196-023-00344-0 |
| work_keys_str_mv | AT shitharthselvarajan retractedarticleobstaclesuncoveringsystemforslenderpathwaysusingunmannedaerialvehicleswithautomaticimagelocalizationtechnique AT hariprasathmanoharan retractedarticleobstaclesuncoveringsystemforslenderpathwaysusingunmannedaerialvehicleswithautomaticimagelocalizationtechnique AT alaaokhadidos retractedarticleobstaclesuncoveringsystemforslenderpathwaysusingunmannedaerialvehicleswithautomaticimagelocalizationtechnique AT achyutshankar retractedarticleobstaclesuncoveringsystemforslenderpathwaysusingunmannedaerialvehicleswithautomaticimagelocalizationtechnique AT adilokhadidos retractedarticleobstaclesuncoveringsystemforslenderpathwaysusingunmannedaerialvehicleswithautomaticimagelocalizationtechnique AT edehmichaelonyema retractedarticleobstaclesuncoveringsystemforslenderpathwaysusingunmannedaerialvehicleswithautomaticimagelocalizationtechnique |