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Improving Robustness and Precision in Mobile Robot Localization by Using Laser Range Finding and Monocular Vision

Related publications (42)

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Automatic Self-Calibration of a Vision System during Robot Motion

Roland Siegwart, Davide Scaramuzza

This paper presents a new technique to estimate the extrinsic parameters of a robot-vision sensor system. More in general, this technique can be adopted to calibrate any robot bearing sensor. It is based on the Extended Kalman Filter. It is very simple and ...

2006

Topological SLAM

Adriana Tapus

This thesis is about topological navigation, more precisely about space representation, perception, localization and mapping. All these elements are needed in order to obtain a robust and reliable framework for navigation. This is essential in order to mov ...

EPFL2005

EKF-based 3D SLAM for Structured Environment Reconstruction

Roland Siegwart, Jan Weingarten

This paper presents the extension and experimental validation of the widely used EKF1-based SLAM2 algorithm to 3D space. It uses planar features extracted probabilistically from dense three-dimensional point clouds generated by a rotating 2D laser scanner. ...

2005

A Comparison of Line Extraction Algorithms using 2D Laser Rangefinder for Indoor Mobile Robotics

Roland Siegwart, Nicola Tomatis

This paper presents an experimental evaluation of different line extraction algorithms on 2D laser scans for indoor environment. Six popular algorithms in mobile robotics and computer vision are selected and tested. Experiments are performed on 100 real da ...

2005

Precise Bearing Angle Measurement Based on Omnidirectional Conic Sensor and Defocusing

Roland Siegwart, Davide Scaramuzza

Recent studies on multi-robot localization have shown that the uncertainty of robot location may be considerably reduced by optimally fusing odometry and the relative angles of sight (bearing) among the team members. However, the latter requires the capabi ...

2005

Miniature Cameras for Ultra-Light Flying Robots

Adam Klaptocz

The Laboratory of Intelligent Systems (LIS) at the Swiss Federal Technical Institute at Lausanne (EPFL) is working on a project to create an autonomous flying robot that uses ‘vision’ (i.e. optical flow) to maneuver through small spaces such as corridors i ...

2005

Slam based on quantities invariant of the robot's configuration

Roland Siegwart, Nicola Tomatis

This paper presents a solution to the Simultaneous Localization and Mapping (SLAM) problem in the stochastic map framework for a mobile robot navigating in an indoor environment. The approach is based on the concept of the relative map. The idea consists i ...

2004

SLAM with Corner Features Based on a Relative Map

Roland Siegwart, Nicola Tomatis

2004

Bayesian Networks for Error Handling through Multimodality Fusion in Spoken Dialogues with Mobile Robots

In this paper, we introduce Bayesian networks architecture for combining speech-based information with that from another modality for error handling in human-robot dialogue system. In particular, we report on experiments interpreting speech and laser scann ...

2004

Estimating the Odometry Error of a Mobile Robot during Navigation

Roland Siegwart

This paper addresses the problem of the odometry error estimation during the robot navigation. The robot is equipped with an external sensor (like laser range finder). Concerning the systematic error an augmented Kalman Filter is introduced. This filter es ...

2003