TY - GEN
T1 - Direction Estimation of Drone Collision Using Optical Flow for Forensic Investigation
AU - Editya, Arda Surya
AU - Ahmad, Tohari
AU - Studiawan, Hudan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Nowadays drones have an important role to help people in several aspects. For example, drones are very beneficial in military sector. In this sector, drones may have a collision with different reasons, such as human error and a malfunctioning system. Therefore, forensic investigation helps the authority to find out drone collision cause. One indication before having collision is a change of direction of the drone. This cause can be detected by analyzing drone flying direction which changes irregularly. In this paper, we propose to use direction estimation method to assist the forensic investigation of a drone collision. We apply optical flow methods, specifically Lucas-Kanade, Horn-Schunck, and Gunnar-Farnerback. Based on the experimental results, Lucas-Kanade technique can achieve the best direction estimation providing a specific motion vector and also a filter to reduce noise.
AB - Nowadays drones have an important role to help people in several aspects. For example, drones are very beneficial in military sector. In this sector, drones may have a collision with different reasons, such as human error and a malfunctioning system. Therefore, forensic investigation helps the authority to find out drone collision cause. One indication before having collision is a change of direction of the drone. This cause can be detected by analyzing drone flying direction which changes irregularly. In this paper, we propose to use direction estimation method to assist the forensic investigation of a drone collision. We apply optical flow methods, specifically Lucas-Kanade, Horn-Schunck, and Gunnar-Farnerback. Based on the experimental results, Lucas-Kanade technique can achieve the best direction estimation providing a specific motion vector and also a filter to reduce noise.
KW - direction estimation
KW - drone forensics
KW - forensic investigation
KW - optical flow
UR - http://www.scopus.com/inward/record.url?scp=85134215925&partnerID=8YFLogxK
U2 - 10.1109/ISDFS55398.2022.9800790
DO - 10.1109/ISDFS55398.2022.9800790
M3 - Conference contribution
AN - SCOPUS:85134215925
T3 - 10th International Symposium on Digital Forensics and Security, ISDFS 2022
BT - 10th International Symposium on Digital Forensics and Security, ISDFS 2022
A2 - Varol, Asaf
A2 - Karabatak, Murat
A2 - Varol, Cihan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Symposium on Digital Forensics and Security, ISDFS 2022
Y2 - 6 June 2022 through 7 June 2022
ER -