Title : 
An algorithm for collaborative patrolling systems with unmanned air vehicles and unmanned ground vehicles
         
        
            Author : 
Caska, Serkan ; Gayretli, Ahmet
         
        
            Author_Institution : 
Mechatron. Eng. Dept., Afyon Kocatepe Univ., Afyonkarahisar, Turkey
         
        
        
        
        
            Abstract : 
In the past decade Unmanned Vehicles have become a topic of interest in many research organizations. Unmanned vehicles based systems are integrated to many applications in various areas ranging from military missions to wildfire detection. Recently, there has been a great interest to design collaborative systems of unmanned air vehicles (UAV) and unmanned ground vehicles (UGV). This paper proposes a new algorithm that can be used to calculate optimal UAV paths and UAV-UGV quantities to cover a target area. This algorithm is useful for patrolling systems based on the collaboration of unmanned air vehicles and unmanned ground vehicles.
         
        
            Keywords : 
autonomous aerial vehicles; multi-robot systems; path planning; collaborative patrolling systems; collaborative unmanned air vehicle systems; military missions; optimal UAV path calculation; optimal UAV-UGV quantity calculation; unmanned ground vehicles; unmanned vehicle based systems; wildfire detection; Batteries; Collaboration; Land vehicles; Robot kinematics; Robot sensing systems; Unmanned aerial vehicles; autonomous robots; multi-agent systems; path planning; robot collaboration; unmanned systems;
         
        
        
        
            Conference_Titel : 
Recent Advances in Space Technologies (RAST), 2015 7th International Conference on
         
        
            Conference_Location : 
Istanbul
         
        
            Print_ISBN : 
978-1-4673-7760-7
         
        
        
            DOI : 
10.1109/RAST.2015.7208425