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» Mobile robot navigation using sensor fusion
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ICRA
2009
IEEE
171views Robotics» more  ICRA 2009»
14 years 2 months ago
Consistent cooperative localization
— In cooperative navigation, teams of mobile robots obtain range and/or angle measurements to each other and dead-reckoning information to help each other navigate more accuratel...
Alexander Bahr, Matthew R. Walter, John J. Leonard
ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
14 years 1 months ago
Correspondenceless Ego-Motion Estimation Using an IMU
Abstract— Mobile robots can be easily equipped with numerous sensors which can aid in the tasks of localization and ego-motion estimation. Two such examples are Inertial Measurem...
Ameesh Makadia, Kostas Daniilidis
HRI
2006
ACM
14 years 1 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
ICRA
1998
IEEE
148views Robotics» more  ICRA 1998»
13 years 12 months ago
Position Estimation Using Principal Components of Range Data
1 sensors is to construct a structural description from sensor data and to match this description to a previously acquired model [Crowley 85]. An alternative is to project individu...
James L. Crowley, Frank Wallner, Bernt Schiele
TFS
2008
93views more  TFS 2008»
13 years 7 months ago
Using Fuzzy Logic to Design Separation Function in Flocking Algorithms
Abstract--Flocking algorithms essentially consist of three components: alignment, cohesion, and separation. To track a desired trajectory, the flock center should move along the de...
Dongbing Gu, Huosheng Hu