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Simultaneous localization and mapping

Known as: VSLAM, FastSLAM, Slam 
In robotic mapping, simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown… Expand
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Highly Cited
2007
Highly Cited
2007
  • Sebastian Thrun
  • Robotics and Cognitive Approaches to Spatial…
  • 2007
  • Corpus ID: 14107207
Dieses Kapitel gibt eine Einfuhrung in die Kartenerstellung und gleichzeitige Lokalisierung mobiler Sensorplattformen. Die… Expand
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Highly Cited
2007
Highly Cited
2007
Simultaneous localization, mapping and moving object tracking (SLAMMOT) involves both simultaneous localization and mapping (SLAM… Expand
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Highly Cited
2006
Highly Cited
2006
This paper discusses the recursive Bayesian formulation of the simultaneous localization and mapping (SLAM) problem in which… Expand
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Highly Cited
2006
Highly Cited
2006
Solving the SLAM (simultaneous localization and mapping) problem is one way to enable a robot to explore, map, and navigate in a… Expand
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Highly Cited
2004
Highly Cited
2004
In this paper we describe a scalable algorithm for the simultaneous mapping and localization (SLAM) problem. SLAM is the problem… Expand
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Highly Cited
2003
Highly Cited
2003
Proceedings of IJCAI 2003 In [15], Montemerlo et al. proposed an algorithm called FastSLAM as an efficient and robust solution to… Expand
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Highly Cited
2003
Highly Cited
2003
  • Andrew J. Davison
  • Proceedings Ninth IEEE International Conference…
  • 2003
  • Corpus ID: 14399225
Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem… Expand
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Highly Cited
2003
Highly Cited
2003
The extended Kalman filter (EKF) has been the de facto approach to the Simultaneous Localization and Mapping (SLAM) problem for… Expand
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Highly Cited
2002
Highly Cited
2002
The ability to simultaneously localize a robot and accurately map its surroundings is considered by many to be a key prerequisite… Expand
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Highly Cited
2001
Highly Cited
2001
This paper presents a new method for simultaneous localization and mapping that exploits the topology of the robot's free space… Expand
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