The thesis revolves around the path planning of a fleet of drones. This planning is specifically geared towards enabling efficient exploration with partial knowledge of regions with static obstacles, with the ultimate goal of multiple target identification. Once a target has been successfully identified, a designated sub-set of the drone fleet is tasked with tracking it, while the remaining drones continue their search for any remaining targets. This research is based on state-of-the-art methodologies for both the exploration process and the tracking of identified targets, all of which take place within realistic simulation environments. A good portion of this work is devoted to the setup and implementation of a reliable platform for the fast deployment of a fleet of UAVs for Coverage Path Planning (CPP) and successive Target Tracking (TT).