Stochastic mapping frameworks

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 1, Issue , 2002, Pages 426-433

  Rikoski, Richard J ^a   Leonard, John J ^a   Newman, Paul M ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; KALMAN FILTERING; MOBILE ROBOTS; MONTE CARLO METHODS; POSITION CONTROL; REMOTELY OPERATED VEHICLES; SONAR; STATE ESTIMATION;

CONCURRENT MAPPING AND LOCALIZATION; EXTENDED KALMAN FILTERING; STOCHASTIC MAPPING;

MOTION PLANNING;

EID: 0036057708     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

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3. A solution to the simultaneous localization and map building (slam) problem
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5. A new extension of the Kalman filter to nonlinear systems
6. Listening with two ears
7. Fusing binaural sonar information for object recognition
8. The spatial semantic hierarchy
9. Incorporation of delayed decision making into stochastic mapping
10. Stochastic multi-sensory data fusion for mobile robot location and environment modeling
11. Data association in stochastic mapping: The fallacy of the nearest neighbor
12. A stochastic map for uncertain spatial relationships
13. An online mapping algorithm for teams of mobile robots