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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Adaptive Signal Processing Techniques for UAV Path Planning in Dynamic Urban Environments
AU - Shahid, Noor
AU - Abrar, Muhammad
AU - Masroor, Roha
PY - 2024/6/12
Y1 - 2024/6/12
N2 - Autonomous navigation of unmanned aerial vehicles (UAVs) in an urban area is a challenging research area these days. Planning of safe, optimized and collision free path are the basic challenges encountered in UAV mission. The major issue faced while planning a feasible path is to detect and avoid the obstacles encountered during a mission. This study uses a firefly algorithm for planning the shortest, optimal and collision free path in an urban environment. The key concept behind the working of firefly algorithm is the attraction of one firefly towards the other regardless of their gender. The proposed approach explores the environment and finds the shortest and safe path in the minimum time possible. The Firefly algorithm efficiently avoids obstacles and can also be implemented in a complex environment.
AB - Autonomous navigation of unmanned aerial vehicles (UAVs) in an urban area is a challenging research area these days. Planning of safe, optimized and collision free path are the basic challenges encountered in UAV mission. The major issue faced while planning a feasible path is to detect and avoid the obstacles encountered during a mission. This study uses a firefly algorithm for planning the shortest, optimal and collision free path in an urban environment. The key concept behind the working of firefly algorithm is the attraction of one firefly towards the other regardless of their gender. The proposed approach explores the environment and finds the shortest and safe path in the minimum time possible. The Firefly algorithm efficiently avoids obstacles and can also be implemented in a complex environment.
U2 - 10.1109/HORA61326.2024.10550807
DO - 10.1109/HORA61326.2024.10550807
M3 - Conference contribution/Paper
SN - 9798350394641
T3 - HORA 2024 - 6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
BT - 2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA)
PB - IEEE Publishing
ER -