Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
IEEE

RMMNet: Deep Memory Aided Extended Object Tracking via High-Order Markovian Modeling and State Decoupling

Abstract: Grounded in Bayesian filtering (BF), random matrix-based extended object tracking (EOT) offers an efficient framework for the joint estimation of a target’s kinematic state and extension.
IEEE

Stone Soup Multi-Target Tracking Feature Extraction for Autonomous Search and Track in Deep Reinforcement Learning Environment

Abstract: 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 battlespace.