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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… 
2013
2013
Probabilistic non-line-of-sight detection in reliable urban GNSS vehicle localization based on an empirical sensor model
Satellite based vehicle localization is an important requirement for a variety of innovative automotive applications. When… 
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
Improving RGBD Indoor Mapping with IMU data
With the release of RGBD-cameras (cameras that provide both RGB as well as depth information) researchers have started evaluating… 
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… 
2004
2004
Fast and easy systematic and stochastic odometry calibration
A method of odometry calibration is proposed and validated which is designed to be as convenient as possible. Convenience is… 
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… 
2002
2002
An empirical comparison of methods for image-based motion estimation
This paper presents a comparison between methods that estimate motion of a camera from a sequence of video images. We implemented… 
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… 
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