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Odometry

Odometry is the use of data from motion sensors to estimate change in position over time. It is used by some legged or wheeled robots to estimate… 
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Related topics

Related topics

7 relations
Autonomous carDead reckoningRobotTelematics

Broader (1)

Robot control

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Visual and 3D Mapping for Steel Bridge Inspection Using a Climbing Robot
There are over six hundred thousand bridges in the U.S. which require great amount of human effort along with expensive and… 
2012
2012
Towards real-time multi-sensor information retrieval in Cloud Robotic System
Cloud Robotics is currently driving interest in both academia and industry. It allows different types of robots to share… 
2012
2012
Accurate 3D maps from depth images and motion sensors via nonlinear Kalman filtering
This paper investigates the use of depth images as localisation sensors for 3D map building. The localisation information is… 
2011
2011
Sonar-based FastSLAM in an underwater environment using walls as features
A lot of research has been done in the area of Simultaneous Localization and Mapping (SLAM). It is particularly challenging in… 
2011
2011
RoadGraph: High level sensor data fusion between objects and street network
The RoadGraph is a graph based environmental model for driver assistance systems. It integrates information from different… 
2006
2006
Multi-cue Localization for Soccer Playing Humanoid Robots
An essential capability of a soccer playing robot is to robustly and accurately estimate its pose on the field. Tracking the pose… 
Highly Cited
2003
Highly Cited
2003
Accurate relative localization using odometry
All mobile robots suffer from odometry error. Relative localization from odometry has both the systematic and the non-systematic… 
Highly Cited
2002
Highly Cited
2002
Performance Metrics for Robot Coverage Tasks
Applications that require a robot to cover an area can be described as complete coverage navigation tasks. Examples of this type… 
1998
1998
Location Estimation for an Autonomously Guided Vehicle using an Augmented Kalman Filter to Autocalib
A Kalman lter using encoder readings as inputs and vision measurements as observations is designed as a location estimator for an… 
Highly Cited
1995
Highly Cited
1995
UMBmark: a benchmark test for measuring odometry errors in mobile robots
This paper introduces a method for measuring odometry errors in mobile robots and for expressing these errors quantitatively… 
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