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Monte Carlo localization

Known as: MCL 
Monte Carlo localization (MCL), also known as particle filter localization, is an algorithm for robots to localize using a particle filter. Given a… Expand
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Papers overview

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2013
2013
Industrial applications often impose hard requirements on the precision of autonomous vehicle systems. As a consequence… Expand
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Highly Cited
2012
Highly Cited
2012
One of the most prominent features on an urban road is the curb, which defines the boundary of a road surface. An intersection is… Expand
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2009
2009
In order to achieve the autonomy of mobile robots, effective localization is a necessary prerequisite. In this paper, we propose… Expand
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Highly Cited
2009
Highly Cited
2009
We present a robot localization system using biologically inspired vision. Our system models two extensively studied human visual… Expand
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Highly Cited
2008
Highly Cited
2008
Localization is crucial to many applications in wireless sensor networks. In this article, we propose a range-free anchor-based… Expand
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Highly Cited
2005
Highly Cited
2005
In this paper, we present a vision-based approach to mobile robot localization that integrates an image-retrieval system with… Expand
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Highly Cited
2004
Highly Cited
2004
Many sensor network applications require location awareness, but it is often too expensive to include a GPS receiver in a sensor… Expand
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Highly Cited
2001
Highly Cited
2001
Mobile robot localization is the problem of determining a robot’s pose from sensor data. This article presents a family of… Expand
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Highly Cited
1999
Highly Cited
1999
To navigate reliably in indoor environments, a mobile robot must know where it is. Thus, reliable position estimation is a key… Expand
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Highly Cited
1999
Highly Cited
1999
This paper presents a new algorithm for mobile robot localization, called Monte Carlo Localization (MCL). MCL is a version of… Expand
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