A Sparse Weight Kalman Filter approach to simultaneous localisation and map building

IEEE International Conference on Intelligent Robots and Systems

Volumn 3, Issue , 2001, Pages 1251-1256

  Julier, Simon J ^a  

^a IDAK Industries   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; LINEAR EQUATIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; STATE ESTIMATION; STATE SPACE METHODS; THEOREM PROVING;

OPTIMAL KALMAN FILTER; SIMULTANEOUS LOCALISATION AND MAP BUILDING; SPARSE WEIGHT KALMAN FILTER; SUBOPTIMAL UPDATE METHOD;

KALMAN FILTERING;

EID: 0035559841     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. In-situ exploration of Mars using rover systems
2. A counter example to the theory of simultaneous localisation and map building
3. An experimental and theoretical investigation into the simultaneous localisation and map building problem
4. New approach to map building using relative position estimates
5. A computationally efficient method for large-scale concurrent mapping and localisation
6. Real time distributed map building in large environments
7. Simultaneous localisation and map building using split covariance intersection
8. Simultaneous localisation and map building using natural features in outdoor environments
9. Applications of state space methods to navigation problems
10. An autonomous guided vehicle for cargo handling applications