16 citations · 20 across the 6 of their papers we have counts for
7 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…
Deep Reinforcement Learning for Time-Critical Wilderness Search And Rescue Using Drones
Jan-Hendrik Ewers, David Anderson, Douglas Thomson
Traditional search and rescue methods in wilderness areas can be time-consuming and have limited coverage. Drones offer a faster and more flexible solution, but optimizing their se…
A Novel Methodology for Autonomous Planetary Exploration Using Multi-Robot Teams
Sarah Swinton, Jan-Hendrik Ewers, Euan McGookin +2
One of the fundamental limiting factors in planetary exploration is the autonomous capabilities of planetary exploration rovers. This study proposes a novel methodology for trustwo…
Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-based Integration Methods for Rover Search Planning
Jan-Hendrik Ewers, Sarah Swinton, David Anderson +2
This study investigates the computational speed and accuracy of two numerical integration methods, cubature and sampling-based, for integrating an integrand over a 2D polygon. Usin…