Vision-based localization and data fusion in a system of cooperating mobile robots

IEEE International Conference on Intelligent Robots and Systems

Volumn 2, Issue , 2000, Pages 1199-1204

  Hanek, R ^a   Schmitt, T ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CAMERAS; IMAGE ANALYSIS; KALMAN FILTERING; KNOWLEDGE BASED SYSTEMS; LINEAR EQUATIONS; MATHEMATICAL MODELS; OBJECT RECOGNITION; OBSERVABILITY; PARAMETER ESTIMATION; SENSOR DATA FUSION; TRACKING (POSITION);

CALIBRATED COLOR CAMERAS; ROBOT SOCCER;

MOBILE ROBOTS;

EID: 0034448763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Using the condensation algorithm for robust, vision-based mobile robot localization
2. Soccer-robot localization using sporadic visual features
3. Three-dimensional computer vision: A geometric viewpoint
4. Monte Carlo localization: Efficient position estimation for mobile robots
5. A probabilistic approach to collaborative multi-robot localization
6. Yet another method for pose estimation: A probabilistic approach using points, lines and cylinders
7. Pose estimation from corresponding point data
8. Self-localization in the robocup environment
9. Object pose from 2-d to 3-d point and line correspondences
10. Pose determination of cylinders, cones, and spheres