On design of sequential sensor fusion system

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 4, Issue , 1998, Pages 3400-3406

  Emura, S ^a   Tachi, S ^b  

^a NTT CORPORATION   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MUTUAL INFORMATION RATES; REAL SITUATION; SENSOR COMBINATIONS; SENSOR FUSION SYSTEMS; SENSOR INTEGRATION; TIME VARIANT;

ROBOTICS; SENSOR DATA FUSION;

ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER SYSTEMS PROGRAMMING; SYNCHRONIZATION; TIME VARYING SYSTEMS;

SEQUENTIAL SENSOR FUSION SYSTEMS; TIME VARIANT SENSOR COMBINATION SYSTEMS;

EID: 0031640424     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.1998.680963     Document Type: Conference Paper

References (9)

1. R.C.Luo and M.G.Kay, "Multisensor Integration and Fusion in Intelligent Systems, " IEEE Trans.SMC, 19, 5, pp.901-931, 1989
2. H.R.Hashemipour, S.Roy and A.J.Laub, "Decentralized Structures for Parallel Kalman Filtering, " IEEE Trans. Automat Contr., 33, 1, pp.88-94, 1988
3. R.C.Luo and M.H.Lin, "Hierarchical Robot Multi-Sensor Data Fusion System, " NATO ASI Series, "Vol.F58, Highly Redundant Sensing in Robotic Systems, Springer-Verlag, pp.67-86, 1990
4. S.Bittani, P.Colaneri and G.D.Nicolao, "The Difference Periotic Ricatti Equation for the Periodic Prediction, " IEEE trans. Automat. Contr., 33, 8, pp.706-712, 1988
5. S.Emura and S.Tachi, "An Algorithm of Sequential Fusion of Multi-Sensor Data and its Theory, " Trans, of the Society of Instrument and Control Engineers, 31, 6, pp.705-711, 1995 (in Japanese)
6. A.H.Jazwinski, Stochastic processes and filtering theory, Academic press, 1970
7. D.R.Vaughan, "A Nonrecursive Algebraic Solution for Discrete Ricatti Equation, " IEEE Trans. Automat. Contr., 15, 5, pp.597-599, 1970
8. W.W.Harman, Principles of the Statistical Theory of Communication, McGraw-Hill, 1963
9. S.Emura and S.Tachi, "Compensation of Time Lag between Actual and Virtual Spaces by Multi-Sensor Integration, " IEEE Int. Conf. on MFI, pp.463-469, 1994