EKF SLAM

In robotics, EKF SLAM is a class of algorithms which utilizes the extended Kalman filter (EKF) for simultaneous localization and mapping (SLAM… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
This paper presents an improved EKF method applied into mobile robot SLAM problem, which has taken the sensor bias problem into… (More)
  • figure 1
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2017
2017
In this letter, we investigate the convergence and consistency properties of an invariant-extended Kalman filter (RI-EKF) based… (More)
  • figure 1
  • figure 2
  • table I
  • figure 3
  • table II
Is this relevant?
2015
2015
In this paper we address the inconsistency of the EKF-based SLAM algorithm that stems from non-observability of the origin and… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2011
Highly Cited
2011
Simultaneous Localization and Mapping (SLAM) and Visual SLAM (V-SLAM) in particular have been an active area of research lately… (More)
  • figure 1
  • figure 2
  • figure 5
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2010
Highly Cited
2010
In this work, we study the inconsistency problem of extended Kalman filter (EKF)-based simultaneous localization and mapping… (More)
  • figure 1
  • table I
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
2010
2010
In this paper, we address a method for improving the accuracy of the feature map from the extended Kalman filter based SLAM (EKF… (More)
  • figure 1
  • figure 2
  • table I
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2008
Highly Cited
2008
In this paper, we show that all processes associated with the move-sense-update cycle of extended Kalman filter (EKF… (More)
Is this relevant?
Highly Cited
2007
Highly Cited
2007
This paper investigates the convergence properties and consistency of extended Kalman filter (EKF) based simultaneous… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
2007
2007
In this paper we describe divide and conquer SLAM (D&C SLAM), an algorithm for performing simultaneous localization and mapping… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2006
Highly Cited
2006
The use of line features in real-time visual tracking applications is commonplace when a prior map is available, but building the… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?