Adaptive Signal Processing Techniques for UAV Path Planning in Dynamic Urban Environments

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.