Week 1 Presentation

1. An Overview of UAV Collision Avoidance Techniques Ben Gardiner, Travis Cooper, Matthew Haveard, Waseem Ahmad

4. Right of Way Rules Vehicles in Distress > Balloons > Gliders > Everything Else Special Situations

6. Discrete Grid System Jungtae Kim, Daijin Kim, "New Path Planning Algorithm based on the Visibility Checking using a Quad-tree on a Quantized Space, and its improvements," Accepted to ICROS Korean Journal (in Korean), 2010.

8. Discrete Grid System Ruz, J.J.; Arevalo, O.; Pajares, G.; de la Cruz, J.M.; , "Decision making among alternative routes for UAVs in dynamic environments," Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on , vol., no., pp.997-1004, 25-28 Sept. 2007 doi: 10.1109/EFTA.2007.4416892 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4416892&isnumber=4416743

10. Discrete Grid System Alejo, D.; Conde, R.; Cobano, J.A.; Ollero, A.; , "Multi-UAV collision avoidance with separation assurance under uncertainties," Mechatronics, 2009. ICM 2009. IEEE International Conference on , vol., no., pp.1-6, 14-17 April 2009 doi: 10.1109/ICMECH.2009.4957235 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4957235&isnumber=4957110

12. Vector-Based Tsourdos, A.; , "A formal model approach for the analysis and validation of the cooperative path planning of a UAV team," Autonomous Agents in Control, 2005. The IEE Seminar on (Ref. No. 2005/10986) , vol., no., pp. 67- 73, 10 May 2005 doi: 10.1049/ic:20050183 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?p=&arnumber=1499807&isnumber=32209

13. Vector-Based Jung-Woo Park; Hyon-Dong Oh; Min-Jea Tahk; , "UAV collision avoidance based on geometric approach," SICE Annual Conference, 2008 , vol., no., pp.2122-2126, 20-22 Aug. 2008 doi: 10.1109/SICE.2008.4655013

14. Vector-Based Tsourdos, A.; , "A formal model approach for the analysis and validation of the cooperative path planning of a UAV team," Autonomous Agents in Control, 2005. The IEE Seminar on (Ref. No. 2005/10986) , vol., no., pp. 67- 73, 10 May 2005 doi: 10.1049/ic:20050183 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?p=&arnumber=1499807&isnumber=32209

16. Mixed Integer Linear Programming Introduction: What is Mixed Integer Linear Programming? Why is it useful? Applications? Example

19. MILP Collision Avoidance t=0.424192 dt=2

20. MILP Collision Avoidance t=2.051950 dt=2

21. MILP Collision Avoidance t=10.783420 dt=2

22. MILP Collision Avoidance t=72.713 dt=2

23. MILP Collision Avoidance t=5.5s dt=6

24. MILP Collision Avoidance t=1.06 dt=6

25. MILP Collision Avoidance t=4.899224 dt=6

31. The End