Pre-simulated Escape Trajectory Selection for UAV Collision Avoidance
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Solution Overview
Problem
Current collision avoidance systems for unmanned aerial vehicles (UAVs) require significant processor capacity to calculate escape maneuvers, limiting the number of possible maneuvers that can be tested for safe mid-air collision avoidance.
Innovation Solution
A collision avoidance system that receives navigational data, stores pre-simulated escape trajectories associated with various navigational data sets and escape directions, and selects the most suitable trajectory by comparison, reducing the need for real-time calculation and conserving processor capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time calculation of escape maneuvers is performed, then accurate collision avoidance can be achieved, but processor capacity requirements increase significantly
Solution Approach 1:
Escape trajectories are pre-calculated and stored in a database before runtime. The system performs preliminary simulation of multiple possible escape maneuvers offline, then stores the results for rapid retrieval during actual collision avoidance scenarios. This eliminates the need for computationally intensive real-time calculations while maintaining accurate escape maneuver selection.
Solution Approach 2:
Instead of performing original real-time calculations, the system uses pre-computed copies of escape trajectory data stored in a database. These copied trajectories are retrieved and compared with the presumed intruder trajectory during runtime, providing accurate collision avoidance information without requiring excessive processor capacity for recalculation.
2Reliability
If multiple escape maneuvers are tested to find optimal trajectory, then collision avoidance reliability improves, but the number of maneuvers that can be tested is limited by processor capacity
Solution Approach 1:
Multiple escape maneuvers are pre-simulated and stored in the database during offline preparation. This allows the system to have a comprehensive set of pre-tested trajectories available for comparison during runtime, enabling thorough evaluation of multiple escape options without being constrained by real-time processor capacity limitations.
Data Source
AI summary
A collision avoidance system including a receiver configured to receive navigational data regarding intruding aerial vehicle and own aircraft. Storage is configured to store a plurality of predefined escape trajectories. A processor is configured to compare at least a subset of the predefined escape trajectories with a presumed trajectory of the intruding aerial vehicle and to select one of the predefined escape trajectories based on the comparison. The predefined escape trajectories are pre-simulated, wherein each escape trajectory is associated to a set of navigational data and to an escape maneuver direction.