An hierarchical approach to grid-based and topological maps integration for autonomous indoor navigation

IEEE International Conference on Intelligent Robots and Systems

Volumn 2, Issue , 2001, Pages 883-888

  Bandera, Antonio ^a   Urdiales, Cristina ^a   Sandoval, Francisco ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; HIERARCHICAL SYSTEMS; MAPPING; MOBILE ROBOTS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; ROBOT LEARNING; SONAR; TOPOLOGY;

AUTONOMOUS INDOOR NAVIGATION; METRIC MAP; TOPOLOGICAL MAP;

MOTION PLANNING;

EID: 0035559792     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Efficient learning of variable-resolution cognitive maps for autonomous indoor navigation
2. A framed-quadtree approach for determining Euclidean shortest paths in 2-D environment
3. Interaction and intelligent behavior
4. Sensor fusion in certainty grids for mobile robots
5. An evidential approach to map-building for autonomous vehicles
6. Concurrent localisation and map building for mobile robots using ultrasonic sensors
7. A comparison of position estimation techniques using occupancy grids
8. Learning maps for indoor mobile robot navigation
9. Planning paths of complete coverage of an unstructured environment by a mobile robot