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Slam based on quantities invariant of the robot's configuration

Related publications (59)

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Feature-based 3D SLAM

Jan Weingarten

This doctoral thesis deals with an open subproblem of robot navigation, namely simultaneous localization and mapping (SLAM) in three-dimensional space. The goal is to develop a system which is capable of localizing a mobile robot in a reliable way and at t ...

EPFL2006

3D SLAM using Planar Segments

Roland Siegwart, Jan Weingarten

This paper presents an improved feature-based 3D SLAM approach for a mobile robot equipped with a rotating laser scanner. The features are represented within the SPmodel, with associated planar segment information based on decimated triangle sets. An Exten ...

2006

Stereo-Based Ego-Motion Estimation Using Pixel Tracking and Iterative Closest Point

Roland Siegwart

In this paper, we present a stereovision algorithm for real-time 6DoF ego-motion estimation, which integrates normalized cross-correlation-based feature tracking and 3D stereo information in the well-known Iterative Closest Point (ICP) scheme. The proposed ...

2006

Theoretical Results on On-line Sensor Self-Calibration

Roland Siegwart, Jan Weingarten

In this paper we derive theoretical results for the problem of on-line sensor calibration for a mobile robot. We consider the case of the odometry sensor. A first series of results regards the problem of understanding if a given system (consisting of a rob ...

2006

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

A Control Method for Stable and Smooth Path Following of Mobile Robots

Roland Siegwart

This paper addresses the problem of mobile robot navigation in indoor cluttered environments. A new algorithm for both longitudinal and lateral real-time control of wheel-based mobile robots has been proposed. Its main characteristic is smooth and stable f ...

2005

SLAM with Corner Features Based on a Relative Map

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

Improving the SLAM Convergence with a Relative Map Filter

Roland Siegwart

This paper presents an approach to solve the SLAM problem in the stochastic map framework based on the concept of the relative map. The idea consists in introducing a map state, which only contains quantities invariant under translation and rotation. This ...

2004

Open Challenges in SLAM: An Optimal Solution Based on Shift and Rotation Invariants

Roland Siegwart, Nicola Tomatis

This paper starts with a discussion of the open challenges in the SLAM problem. In our opinion they can be grouped in two main and distinct areas: convergence of the built map and computation requirement for real world application. To deal with the previou ...

2004

Motion planning and obstacle avoidance for mobile robots in highly cluttered dynamic environments

Roland Philippsen

After a quarter century of mobile robot research, applications of this fascinating technology appear in real-world settings. Some require operation in environments that are densely cluttered with moving obstacles. Public mass exhibitions or conventions are ...

EPFL2004