Add to ORKGThis paper addresses the problem of building large-scale maps of indoor environments with mobile robots. It proposes a statistical approach that phrases the map building problem as a constrained maximum-likelihood estimation problem, for which it devises a practical algorithm. Experimental results in large, cyclic environments illustrate the appropriateness of the approach.
In recent years, probabilistic approaches have found many successful applications to mobile robot lo...
In recent years, probabilistic approaches have found many successful applications to mobile robot lo...
The essential key capabilities for a mobile robot are to determine where it is located and gather an...
Abstract. This paper addresses the problem of building large-scale geometric maps of indoor environm...
This paper addresses the problem of building large-scale geometric maps of indoor environments with ...
The problem of map building is the problem of determining the location of entities-of-interest in a ...
Mobile robots require basic information to navigate through an environment: they need to know where ...
Abstract — This paper describes a method of probabilistic obstacle map building based on Bayesian es...
Generating meaningful spatial models of physical environments is a crucial ability for autonomous na...
Generating meaningful spatial models of physical environments is a crucial ability for autonomous na...
The robotics field has seen indoor robots that are increasingly capable of accurately navigating in ...
Abstract. In this paper, we present a new approach for continuous probabilistic mapping. The objecti...
We propose an occupancy grid mapping algorithm for mobile robots operating in environments where obj...
Abstract. In this paper, we present a new approach for continuous probabilistic mapping. The objecti...
Autonomous mobile robots need very reliable navigation capabilities in order to operate unattended ...
In recent years, probabilistic approaches have found many successful applications to mobile robot lo...
In recent years, probabilistic approaches have found many successful applications to mobile robot lo...
The essential key capabilities for a mobile robot are to determine where it is located and gather an...
Abstract. This paper addresses the problem of building large-scale geometric maps of indoor environm...
This paper addresses the problem of building large-scale geometric maps of indoor environments with ...
The problem of map building is the problem of determining the location of entities-of-interest in a ...
Mobile robots require basic information to navigate through an environment: they need to know where ...
Abstract — This paper describes a method of probabilistic obstacle map building based on Bayesian es...
Generating meaningful spatial models of physical environments is a crucial ability for autonomous na...
Generating meaningful spatial models of physical environments is a crucial ability for autonomous na...
The robotics field has seen indoor robots that are increasingly capable of accurately navigating in ...
Abstract. In this paper, we present a new approach for continuous probabilistic mapping. The objecti...
We propose an occupancy grid mapping algorithm for mobile robots operating in environments where obj...
Abstract. In this paper, we present a new approach for continuous probabilistic mapping. The objecti...
Autonomous mobile robots need very reliable navigation capabilities in order to operate unattended ...
In recent years, probabilistic approaches have found many successful applications to mobile robot lo...
In recent years, probabilistic approaches have found many successful applications to mobile robot lo...
The essential key capabilities for a mobile robot are to determine where it is located and gather an...