In this paper the metric and topological paradigm are inte-grated in a single system for both localization and map build-ing. A global topological map connects local metric maps, allowing a compact environment model, which does not re-quire global metric consistency and permits both precision and robustness. Furthermore, the approach permits to han-dle loops in the environment by automatic mapping using the information of the multimodal topological localization. The system uses a 360 degree laser scanner to extract corners and openings for the topological approach and lines for the metric method. This hybrid approach has been tested in a 50 x 25 m2 portion of the institute building with the fully auton-omous robot Donald Duck. Experiments a...
In this paper we present an algorithm for the application of simultaneous localization and mapping i...
The paper proposes a vision based online mapping of large-scale environments. Our approach uses a hy...
The paper proposes a vision based online mapping of large-scale environments. Our approach uses a hy...
In this paper an approach combining the metric and topological paradigm for simultaneous localizatio...
In this paper the metric and topological paradigms are integrated in a hybrid system for both locali...
In this paper an approach combining the metric and topological paradigm for simultaneous localizatio...
This chapter describes an approach for indoor spatial representation, which is used to model the env...
This paper addresses the problem of localization and map construction by a mobile robot in an indoor...
This paper presents a method for localisation in hybrid metric-topological maps built using only loc...
This paper presents a method for localisation in hybrid metric-topological maps built using only loc...
This paper presents a method for localisation in hybrid metric-topological maps built using only loc...
Robotic mapping systems are traditionally separated into the metric and the topological paradigm. Th...
This paper presents a method for localisation in hybrid metric-topological maps built using only loc...
This paper presents a method for localisation in hybrid metric-topological maps built using only loc...
In this paper we present an algorithm for the application of simultaneous localization and mapping i...
In this paper we present an algorithm for the application of simultaneous localization and mapping i...
The paper proposes a vision based online mapping of large-scale environments. Our approach uses a hy...
The paper proposes a vision based online mapping of large-scale environments. Our approach uses a hy...
In this paper an approach combining the metric and topological paradigm for simultaneous localizatio...
In this paper the metric and topological paradigms are integrated in a hybrid system for both locali...
In this paper an approach combining the metric and topological paradigm for simultaneous localizatio...
This chapter describes an approach for indoor spatial representation, which is used to model the env...
This paper addresses the problem of localization and map construction by a mobile robot in an indoor...
This paper presents a method for localisation in hybrid metric-topological maps built using only loc...
This paper presents a method for localisation in hybrid metric-topological maps built using only loc...
This paper presents a method for localisation in hybrid metric-topological maps built using only loc...
Robotic mapping systems are traditionally separated into the metric and the topological paradigm. Th...
This paper presents a method for localisation in hybrid metric-topological maps built using only loc...
This paper presents a method for localisation in hybrid metric-topological maps built using only loc...
In this paper we present an algorithm for the application of simultaneous localization and mapping i...
In this paper we present an algorithm for the application of simultaneous localization and mapping i...
The paper proposes a vision based online mapping of large-scale environments. Our approach uses a hy...
The paper proposes a vision based online mapping of large-scale environments. Our approach uses a hy...