Estimating position of mobile robots from omnidirectional vision using an adaptive algorithm

L Li, YH Liu, K Wang, M Fang - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This paper presents a novel and simple adaptive algorithm for estimating the position of a
mobile robot with high accuracy in an unknown and unstructured environment by fusing …

Terrain-based vehicle localization using an active suspension system

Y Jiang, J Eisenmann, W Graves… - … IEEE Conference on …, 2022 - ieeexplore.ieee.org
This paper, for the first time, presents a terrain-based localization approach using sensor
data from an active suspension system. The contribution is four-fold. First, it is shown that a …

Ground vehicle localization based on inertial measurement signals

J Gim, C Ahn - 2015 15th International Conference on Control …, 2015 - ieeexplore.ieee.org
Terrain profiles can be a basis of localization even in the absence of Global Positioning
System (GPS). Especially, the pitch rate signals of a ground vehicle well represent the …

Robust data map design using chance constrained optimization

E Laftchiev, C Lagoa, S Brennan - 2014 American Control …, 2014 - ieeexplore.ieee.org
This paper presents a chance constrained approach to extracting linear models from
reference data to be used in subsequence identification or pattern matching. Due to the …

[图书][B] Robust dynamical model-based data representations and structuring of time series data for in-sequence localization

E Laftchiev - 2015 - search.proquest.com
In the modern era there is an unprecedented ability to actuate via an increasingly cheaper
array of actuators, and to sense through a growing, increasingly cheaper, array of sensors …

[PDF][PDF] The Graduate School College of Engineering

E Laftchiev - 2015 - researchgate.net
In the modern era there is an unprecedented ability to actuate via an increasingly cheaper
array of actuators, and to sense through a growing, increasingly cheaper, array of sensors …

Multi-attribute data dynamics discontinuity identification: A probabilistic approach using linear modeling

E Laftchiev, C Lagoa, S Brennan - 53rd IEEE Conference on …, 2014 - ieeexplore.ieee.org
Improvements in sensor technology and data processing rates are leading to the collection
of vast databases of time series data. These data sets are spawning new applications that …

[引用][C] Multi-Attribute Data Dynamics Discontinuity Identification: An Over-Bounding approach using One-Dimensional Probabilistic Constraints

E Laftchiev, C Lagoa, S Brennan - The Pennsylvania State University College of …, 2014