Recent advances in multi-INT track fusion
| Autor: | Alan S. Willsky, William Kreamer, Stefano Coraluppi, Craig Carthel |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Computer science business.industry Kalman smoother Markov chain Monte Carlo 02 engineering and technology Kinematics Sensor fusion Tracking (particle physics) Machine learning computer.software_genre symbols.namesake 020901 industrial engineering & automation Filter (video) Asynchronous communication symbols Artificial intelligence business Algorithm computer |
| Zdroj: | 2016 IEEE Aerospace Conference. |
| Popis: | This paper provides recent experimental results on a large-scale scenario for recently-introduced MCMC-based and MHT-based solutions to the multi-INT problem, where sparse non-kinematic data is to be fused with multi-sensor kinematic data. The MCMC Data Fuser (MCMC-DF) and Asynchronous MHT (A-MHT) show promising scalability relative to classical track-oriented MHT, the leading paradigm for high-performance multi-target tracking. Additionally, we propose a number of modeling and algorithmic enhancements: (i) efficient hypothesis formation based on coarse (pairwise) track gating; (ii) a forward-backward Kalman smoother for Ornstein-Uhlenbeck (OU) processes; (iii) an OU-IMM filter for the target move-stop-move scenarios that are of interest; and (iv) fusion logic and scoring generalizations to accommodate multiple emitters per target.12 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|