A hybrid sensor fusion algorithm architecture and tracklets

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3163, Issue , 1997, Pages 485-502

  Drummond, Oliver E ^a  

^a NONE   (United States)

Author keywords

Bayesian methods; Decorrelation; Distributed tracking; Estimation; Federated tracking; Feedback; Hybrid fusion; Inverse Kalman filter; Multiple sensor tracking; Multiple target tracking; Sensor data fusion; Shadow tracker; Target tracking; Track fusion; Tracklet

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; HYBRID SENSORS; KALMAN FILTERING; SENSOR DATA FUSION;

MULTIPLE TARGET TRACKING;

RADAR TRACKING;

EID: 0031288567     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.292746     Document Type: Conference Paper

References (21)

1. Feedback in track fusion without process noise
2. Track fusion with feedback
3. Hybrid fusion algorithm architecture
4. "Tracking with multiple sensors: Alternative architectures" and "Track fusion: With and without feedback"
5. Multiple sensor tracking with multiple frame probabilistic data association
6. Introduction
7. Tracklets and a hybrid fusion with process noise
8. The effect of the common process noise on the two-sensor fused-track covariance
9. On the track-to-track correlation problem
10. Multi-object, multi-radar track correlation
11. Hybrid fusion algorithm architecture
12. A new estimation architecture for multisensor data fusion
13. The pseudo-measurement approach to track-to-track data fusion
14. Multisensor tracking of ballistic targets
15. Federated filter for fault-tolerant integrated navigation