Summary. Simultaneous Localization and Mapping (SLAM) is one of the classical problems in mobile robotics. The task is to build a map of the environment using on-board sensors while at the same time localizing the robot relative to this map. Rao-Blackwellized particle filters have emerged as a powerful technique for solving the SLAM problem in a wide variety of environments. It is a well-known fact for sampling-based approaches that the choice of the proposal distribution greatly influences the robustness and efficiency achievable by the algorithm. In this paper, we present a significantly improved proposal distribution for grid-based SLAM, which utilizes whole sequences of sensor measurements rather than only the most recent one. We have i...
Simultaneous Localization and Mapping (SLAM) problem is a well-known problem in robotics, where a ro...
We propose a robust simultaneous localization and mapping (SLAM) with a Rao-Blackwellized particle f...
The distributed SLAM system has a similar estimation performance and requires only one-fifth of the ...
Summary. Simultaneous Localization and Mapping (SLAM) is one of the classical prob-lems in mobile ro...
Simultaneous Localization and Mapping (SLAM) is one of the classical problems in mobile robotics. Th...
Summary. Simultaneous Localization and Mapping (SLAM) is one of the classical prob-lems in mobile ro...
Summary. Simultaneous Localization and Mapping (SLAM) is one of the classical prob-lems in mobile ro...
Simultaneous Localization and Mapping (SLAM) is one of the classical problems in mobile robotics. Th...
Simultaneous Localization and Mapping (SLAM) is one of the clas-sical problems in mobile robotics. T...
Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the sim...
Recently, Rao-Blackwellized particle filters have become a popular tool to solve the simultaneous lo...
Rao–Blackwellized particle filters have become a popular tool to solve the simultaneous localization...
DoctorIntelligent mobility is a fundamental requirement of autonomous robots. To achieve this, mobil...
Copyright © 2014 Fujun Pei et al.This is an open access article distributed under theCreative Common...
Autonomous mobile robots have become more popular over the past few decades, influencing both indust...
Simultaneous Localization and Mapping (SLAM) problem is a well-known problem in robotics, where a ro...
We propose a robust simultaneous localization and mapping (SLAM) with a Rao-Blackwellized particle f...
The distributed SLAM system has a similar estimation performance and requires only one-fifth of the ...
Summary. Simultaneous Localization and Mapping (SLAM) is one of the classical prob-lems in mobile ro...
Simultaneous Localization and Mapping (SLAM) is one of the classical problems in mobile robotics. Th...
Summary. Simultaneous Localization and Mapping (SLAM) is one of the classical prob-lems in mobile ro...
Summary. Simultaneous Localization and Mapping (SLAM) is one of the classical prob-lems in mobile ro...
Simultaneous Localization and Mapping (SLAM) is one of the classical problems in mobile robotics. Th...
Simultaneous Localization and Mapping (SLAM) is one of the clas-sical problems in mobile robotics. T...
Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the sim...
Recently, Rao-Blackwellized particle filters have become a popular tool to solve the simultaneous lo...
Rao–Blackwellized particle filters have become a popular tool to solve the simultaneous localization...
DoctorIntelligent mobility is a fundamental requirement of autonomous robots. To achieve this, mobil...
Copyright © 2014 Fujun Pei et al.This is an open access article distributed under theCreative Common...
Autonomous mobile robots have become more popular over the past few decades, influencing both indust...
Simultaneous Localization and Mapping (SLAM) problem is a well-known problem in robotics, where a ro...
We propose a robust simultaneous localization and mapping (SLAM) with a Rao-Blackwellized particle f...
The distributed SLAM system has a similar estimation performance and requires only one-fifth of the ...