vehicle localization
OKPS: A Reactive/Cooperative Multi Sensors Data Fusion Approach Designed for Robust Vehicle Localization
... The results of the AG132 synchronous test are shown in Figure 6 and Table 1 and Table 2. Figure 6 describes according to the subfigures from left to right and from top to bottom the following criteria: the Euclidean ...
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Comparison of Interval Constraint Propagation Algorithms for Vehicle Localization
... Constraint propagation algorithms are often used to solve once an unique system. We have used them on evolving CSPs having a time window in order to solve a localiza- tion problem. We aim at localizing a vehicle ...
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A Robust Hybrid Multisource Data Fusion Approach for Vehicle Localization
... ego-vehicle localization is ...ego-vehicle localization, especially for highly dy- namic on-road maneuvers, a filter needs to be robust and reactive at the same ...
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Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter
... for localization and naviga- ...underwater vehicle localization that improves state estimation by augmentation of the radial basis function (RBF) neural network with ...and localization ...
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Vision Based Vehicle Localization for Infrastructure Enabled Autonomy
... localized vehicle position by MSSP camera plotted at vehicle velocity 6m/s Figure ...a localization close to the true ...the vehicle location has been transmitted between MSSPs and ...
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Sensor fusion of raw GPS measurements for autonomous vehicle localization
... Ground Vehicle of the ...the localization system in case of interruption of GPS data, due to sensor breakage, temporary obstructed line of sight with satellites or also poor reception, when only few ...
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Simulation of an autonomous vehicle localization
... autonomous vehicle navigation” published by ...on localization as well as navigation of autonomous vehicle using natural ...provide localization information for an outdoor ...
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Improving Quality of GNSS Vehicle Localization
... Easy-OBU is suitable only for applications that do not necessarily require the improved location information in real time:. • Shortly after leaving the tunnel, but not during the signal [r] ...
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Vehicle pose estimation using G-Net: multi-class localization and depth estimation
... of vehicle localization using a Region-Proposal-Network for extracting the first proposals of vehicle in input images, after two refinement steps in which the visible parts of each detected ...
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Vehicle infrastructure cooperative localization using Factor Graphs
... • Data Association Uncertainties: Correct identification of vehicles is required for multiple vehicle localization. Although V2V and V2I technologies support this func- tionality, if there is no measurement ...
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Cooperative Localization of Vehicles without Inter-vehicle Measurements
... through vehicle- to-infrastructure (V2I) communication, or cooperating vehicles in range (V2V communication), they can share ...a vehicle as well as associations among vehicles must be ...and vehicle ...
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GlobalWay. Your Core Value Partner for Localization. Localization & Globalization Game Localization Desktop Publishing
... Game Localization In game localization, the amount of game experience the localizer has is more important than his or her linguistic knowledge, due to the peculiarities of the game ...
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Internationalization & Localization
... OpenOffice.org is the open source project through which Sun Microsystems has released the technology for the popular StarOffice[tm] Productivity Suite. With a worldwide developer community, open access to a common source ...
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Self-Correcting Localization Scheme for Vehicle to Vehicle Communication
... – Vehicle to Vehicle communication (V2V) has taken place in research interest for many purposes such as road safety and traffic ...the localization error due to signal strength measurements clearly ...
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Fusion of cooperative localization data with dynamic object information using data communication for preventative vehicle safety applications
... cooperative localization data with a standard motion model with limited dynamics, the communication of dynamic states does not significantly contribute to the over- all filter dynamics, especially when dealing ...
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The Evolution of Localization
... for localization experts, with many job opportunities and a strong social network, software publishers began to doubt the validity of the in- house localization ...large localization departments that ...
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The autonomous underwater vehicle emergency localization system : an under ice AUV tracking technology for over the horizon operations
... are acceptable. However, as AUV technology is pushed and pulled into applica- tion areas with non-standard operational and environmental characteristics, the existing technologies sometimes cannot deliver the required ...
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Computational cost analysis of extended kalman filter in simultaneous localization and mapping (EKF SLAM) problem for autonomous vehicle
... of control inputs, and a vector of taking measurements are known. The current autonomous vehicle's pose is assumed to depend only on the previous pose and the current control input. The motion model ( � � | � �−1 , � � ) ...
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Neural Network Predicting Remote Vehicle Movement with Vehicle-to-Vehicle Data
... remote vehicle using post facto created vehicle-to-vehicle (V2V) data and uses that prediction to determine whether it is safe for the host vehicle to change ...find vehicle paths ...
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Parathyroid adenoma Localization
... Our current large study of 80 unselected patients, confirms the validity of US for pre- operative localization of parathyroid adeno- mas in patients with PHPT. Ultrasonography provided positive imaging results in ...
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