SLIDE: A Straight Line Conflict Detection and Alerting Algorithm for Multiple Unmanned Aerial Vehicles

Conflict detection is an important research issue in Unmanned Aerial Vehicles to ensure safety and collision free flights. In this paper, we first propose a comprehensive analytical framework for a three dimensional conflict detection. Then, we propose SLIDE a new Straight LIne conflict DEtection and alerting algorithm for a set of UAVs to safely share a common airspace. SLIDE is fully distributed and requires a limited state information exchange between UAVs. The assumptions of precise state information and packet-loss free communications are relaxed so as to guarantee the applicability and efficiency of the algorithm in real world situations. A thorough discussion is also presented to deal with appropriate tuning of the different parameters of the collision detection framework. Extensive simulations based on OMNeT++ are used to validate SLIDE and evaluate its performance. Simulation results indicate that SLIDE guarantees a reduced number of false and missed alarms even in high density traffic scenarios and communication perturbed environments, yet it leaves adequate time to accomplish the required maneuver actions.

[1]  Dominique Gruyer,et al.  A fast Monte Carlo algorithm for collision probability estimation , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

[2]  George J. Vachtsevanos,et al.  Military and Civilian Unmanned Aircraft , 2015 .

[3]  Aníbal Ollero,et al.  Conflict Detection and Resolution Method for Cooperating Unmanned Aerial Vehicles , 2012, J. Intell. Robotic Syst..

[4]  Dinesh Manocha,et al.  Smooth and collision-free navigation for multiple robots under differential-drive constraints , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Abdelfettah Belghith,et al.  A Review on Collision Avoidance Systems for Unmanned Aerial Vehicles , 2015, Nets4Cars/Nets4Trains/Nets4Aircraft.

[6]  D. Alejo,et al.  Multi-UAV collision avoidance with separation assurance under uncertainties , 2009, 2009 IEEE International Conference on Mechatronics.

[7]  A. Varga,et al.  THE OMNET++ DISCRETE EVENT SIMULATION SYSTEM , 2003 .

[8]  U. Ciniglio,et al.  A Novel 3D Geometric Algorithm for Aircraft Autonomous Collision Avoidance , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[9]  Juan JosRebollo Collision avoidance among multiple aerial robots and other non-cooperative aircraft based on velocity planning , 2007 .

[10]  Fethi Belkhouche Modeling and Calculating the Collision Risk for Air Vehicles , 2013, IEEE Transactions on Vehicular Technology.

[11]  David Wetherall,et al.  Predictable 802.11 packet delivery from wireless channel measurements , 2010, SIGCOMM '10.

[12]  Jan Faigl,et al.  AR-Drone as a Platform for Robotic Research and Education , 2011, Eurobot Conference.

[13]  Dario Floreano,et al.  Dealing with midair collisions in dense collective aerial systems , 2011, J. Field Robotics.

[14]  Martin Jacobsson,et al.  Estimating Packet Delivery Ratio for Arbitrary Packet Sizes Over Wireless Links , 2015, IEEE Communications Letters.

[15]  Aníbal Ollero,et al.  The Velocity Assignment Problem for Conflict Resolution with Multiple Aerial Vehicles Sharing Airspace , 2013, J. Intell. Robotic Syst..

[16]  Anis Koubaa,et al.  Radio link quality estimation in wireless sensor networks , 2012, ACM Trans. Sens. Networks.

[17]  B. M. Albaker,et al.  Straight projection conflict detection and cooperative avoidance for autonomous unmanned aircraft systems , 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications.

[18]  Srikanth V. Krishnamurthy,et al.  Forensic Analysis of Packet Losses in Wireless Networks , 2012, IEEE/ACM Transactions on Networking.

[19]  David Sislák,et al.  Automated Conflict Resolution Utilizing Probability Collectives Optimizer , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[20]  Sajal K. Das,et al.  A survey on sensor localization , 2010 .

[21]  James K. Kuchar,et al.  A review of conflict detection and resolution modeling methods , 2000, IEEE Trans. Intell. Transp. Syst..