Cooperative sensing in dynamic environments

IEEE International Conference on Intelligent Robots and Systems

Volumn 3, Issue , 2001, Pages 1706-1713

  Dietl, Markus ^a   Gutmann, Jens Steffen ^a   Nebel, Bernhard ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; COMPUTER SIMULATION; COMPUTER VISION; FEATURE EXTRACTION; KALMAN FILTERING; LASERS; MARKOV PROCESSES; MATRIX ALGEBRA; OBJECT RECOGNITION; RANGE FINDERS; SENSOR DATA FUSION;

COOPERATIVE SENSING; DYNAMIC ENVIRONMENTS; MARKOV LOCALIZATION; MULTI OBJECT TRACKING; MULTI SENSOR FUSION;

MOBILE ROBOTS;

EID: 0035558837     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Optimizing schedules for prioritized path planning of multi-robot systems
2. A review of statistical data association techniques for motion correspondence
3. Collaborative multi-robot localization
4. An experimental comparison of localization methods
5. The CS Freiburg team: Playing robotic soccer on an explicit world model
6. Fast, accurate, and robust self-localization in polygonal environments
7. Vision-based localization and data fusion in a system of cooperating mobile robots
8. RoboCup: A challenge problem for AI
9. Fast and robust tracking of multiple moving objects with a laser range finder
10. A mobile robot sense net
11. The Kalman filter: An introduction to concepts
12. High resolution maps from wide-angle sonar
13. CoPS-team description
14. Agilo RoboCuppers 2001: Utility- and plan-based action selection based on probabilistically estimated game situations
15. Tracking multiple moving targets with a mobile robot using particle filters and statistical data association
16. Distributed sensor fusion for object position estimation by multi-robot systems
17. Map learning and high-speed navigation in RHINO
18. A real-time algorithm for mobile robot mapping with applications to multi-robot and 3d mapping
19. The CMUnited-98 champion small-robot team
20. Doing the right thing in a group