Cooperative Evasion and Pursuit for Autonomous Vehicles
Abstract
The proposed research focuses on the development of novel algorithms and concepts for cooperative evasion and pursuit, applicable to groups of autonomous vehicles, while taking into account task assignment and stimation considerations. This effort seeks to answer fundamental planning questions such as: 1) What is the optimal cooperative trajectory planning that lures attacking missiles into multiple traps? 2) How can multiple defenders launched from multiple aircraft be assigned optimally to multiple threats so as to optimize performance and allow robustness to failures? 3) What are the achievable protection envelopes when a defender is launched from a neighboring aircraft? 4) What are the tradeoffs between centralized and decentralized implementations of the aircraft and defenders guidance strategies? 5) What is the optimal evasion strategy from an interceptor while trying to simultaneously identify its guidance strategy? 6) What are the preferable deployment strategies and trajectories of the vehicles such that cooperative guidance is performed while estimation considerations are taken into account?
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 23, 2016
- Source ID
- FA95501510429
Entities
People
- Tal Shima
Organizations
- Air Force Office of Scientific Research
- Technion – Israel Institute of Technology
- United States Air Force