Towards Autonomous Investigation of Crime Scene by Using Drones
A location associated with a committed crime must be preserved, even before criminal experts start collecting and analyzing evidences. Indeed, crime scenes should be recorded with minimal human interference. In order to help specialists to accomplish this task, we propose an autonomous system for in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2019-06-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | https://sensorsportal.com/HTML/DIGEST/june_2019/Vol_234/P_3089.pdf |
| _version_ | 1797774668219809792 |
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| author | Pompílio ARAÚJO JR. Marcelo MENDONÇA Jefferson FONTINELE Luciano OLIVEIRA |
| author_facet | Pompílio ARAÚJO JR. Marcelo MENDONÇA Jefferson FONTINELE Luciano OLIVEIRA |
| author_sort | Pompílio ARAÚJO JR. |
| collection | DOAJ |
| description | A location associated with a committed crime must be preserved, even before criminal experts start collecting and analyzing evidences. Indeed, crime scenes should be recorded with minimal human interference. In order to help specialists to accomplish this task, we propose an autonomous system for investigation of a crime scene using a drone. Our proposed autonomous system recognizes objects considered as important evidence at a crime scene, defining the trajectories through which a drone performs a detailed search. We used our previously proposed method, called Air- SSLAM, to estimate drone's pose, as well as proportional-integral-derivative controllers for aircraft stabilization. The goal is to make the drone fly through the paths defined by the objects recognized across the scene. At the end, the proposed system outputs a report containing a list of evidences, sketches, images and videos collected during the investigation. The performance of our system is assessed from a simulator, and a real- life drone system is being prepared to reach the goal. |
| first_indexed | 2024-03-12T22:24:26Z |
| format | Article |
| id | doaj.art-33221df741ce4000a490dd3ca8970686 |
| institution | Directory Open Access Journal |
| issn | 2306-8515 1726-5479 |
| language | English |
| last_indexed | 2024-03-12T22:24:26Z |
| publishDate | 2019-06-01 |
| publisher | IFSA Publishing, S.L. |
| record_format | Article |
| series | Sensors & Transducers |
| spelling | doaj.art-33221df741ce4000a490dd3ca89706862023-07-22T09:07:22ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792019-06-0123463036Towards Autonomous Investigation of Crime Scene by Using DronesPompílio ARAÚJO JR.0Marcelo MENDONÇA1Jefferson FONTINELE2Luciano OLIVEIRA3Intelligent Vision Research Lab Federal University of BahiaIntelligent Vision Research Lab Federal University of BahiaIntelligent Vision Research Lab Federal University of BahiaIntelligent Vision Research Lab Federal University of BahiaA location associated with a committed crime must be preserved, even before criminal experts start collecting and analyzing evidences. Indeed, crime scenes should be recorded with minimal human interference. In order to help specialists to accomplish this task, we propose an autonomous system for investigation of a crime scene using a drone. Our proposed autonomous system recognizes objects considered as important evidence at a crime scene, defining the trajectories through which a drone performs a detailed search. We used our previously proposed method, called Air- SSLAM, to estimate drone's pose, as well as proportional-integral-derivative controllers for aircraft stabilization. The goal is to make the drone fly through the paths defined by the objects recognized across the scene. At the end, the proposed system outputs a report containing a list of evidences, sketches, images and videos collected during the investigation. The performance of our system is assessed from a simulator, and a real- life drone system is being prepared to reach the goal.https://sensorsportal.com/HTML/DIGEST/june_2019/Vol_234/P_3089.pdfcriminal scene investigationobject detectionslamautonomous droneself-localization |
| spellingShingle | Pompílio ARAÚJO JR. Marcelo MENDONÇA Jefferson FONTINELE Luciano OLIVEIRA Towards Autonomous Investigation of Crime Scene by Using Drones Sensors & Transducers criminal scene investigation object detection slam autonomous drone self-localization |
| title | Towards Autonomous Investigation of Crime Scene by Using Drones |
| title_full | Towards Autonomous Investigation of Crime Scene by Using Drones |
| title_fullStr | Towards Autonomous Investigation of Crime Scene by Using Drones |
| title_full_unstemmed | Towards Autonomous Investigation of Crime Scene by Using Drones |
| title_short | Towards Autonomous Investigation of Crime Scene by Using Drones |
| title_sort | towards autonomous investigation of crime scene by using drones |
| topic | criminal scene investigation object detection slam autonomous drone self-localization |
| url | https://sensorsportal.com/HTML/DIGEST/june_2019/Vol_234/P_3089.pdf |
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