4 papers
Stone Soup Multi-Target Tracking Feature Extraction For Autonomous Search And Track In Deep Reinforcement Learning Environment
Jan-Hendrik Ewers, Joe Gibbs, David Anderson
Management of sensing resources is a non-trivial problem for future military air assets with future systems deploying heterogeneous sensors to generate information of the battlespa…
Recurrent Auto-Encoders for Enhanced Deep Reinforcement Learning in Wilderness Search and Rescue Planning
Jan-Hendrik Ewers, David Anderson, Douglas Thomson
Wilderness search and rescue operations are often carried out over vast landscapes. The search efforts, however, must be undertaken in minimum time to maximize the chance of surviv…
Multi-Target Radar Search and Track Using Sequence-Capable Deep Reinforcement Learning
Jan-Hendrik Ewers, David Cormack, Joe Gibbs +1
The research addresses sensor task management for radar systems, focusing on efficiently searching and tracking multiple targets using reinforcement learning. The approach develops…
Predictive Probability Density Mapping for Search and Rescue Using An Agent-Based Approach with Sparse Data
Jan-Hendrik Ewers, David Anderson, Douglas Thomson
Predicting the location where a lost person could be found is crucial for search and rescue operations with limited resources. To improve the precision and efficiency of these pred…