scholarly journals An Integrity Assessment Framework for Multi-modal Vehicle Localization

Author(s):  
Arjun Balakrishnan ◽  
Sergio A. Rodriguez F. ◽  
Roger Reynaud
Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4654
Author(s):  
Arjun Balakrishnan ◽  
Sergio Rodriguez Florez ◽  
Roger Reynaud

Autonomous driving systems tightly rely on the quality of the data from sensors for tasks such as localization and navigation. In this work, we present an integrity monitoring framework that can assess the quality of multimodal data from exteroceptive sensors. The proposed multisource coherence-based integrity assessment framework is capable of handling highway as well as complex semi-urban and urban scenarios. To achieve such generalization and scalability, we employ a semantic-grid data representation, which can efficiently represent the surroundings of the vehicle. The proposed method is used to evaluate the integrity of sources in several scenarios, and the integrity markers generated are used for identifying and quantifying unreliable data. A particular focus is given to real-world complex scenarios obtained from publicly available datasets where integrity localization requirements are of high importance. Those scenarios are examined to evaluate the performance of the framework and to provide proof-of-concept. We also establish the importance of the proposed integrity assessment framework in context-based localization applications for autonomous vehicles. The proposed method applies the integrity assessment concepts in the field of aviation to ground vehicles and provides the Protection Level markers (Horizontal, Lateral, Longitudinal) for perception systems used for vehicle localization.


2015 ◽  
Author(s):  
Xuefei Guan ◽  
Xiang Ren ◽  
Wen Jiang ◽  
S. Kevin Zhou

Author(s):  
Amee P. Shah

In this paper, I present accent-related variations unique to Asian-Indian speakers of English in the United States and identify specific speech and language features that contribute to an “Indian accent.” I present a model to answer some key questions related to assessment of Indian accents and help set a strong foundation for accent modification services.


2011 ◽  
Vol 38 (S 01) ◽  
Author(s):  
B Lindelius ◽  
E Björkenstam ◽  
C Dahlgren ◽  
R Ljung ◽  
C Stefansson

2020 ◽  
Vol 78 (12) ◽  
pp. 1276-1285
Author(s):  
Shibu John A

Enterprise asset management (EAM) systems are used by asset owners and/or operators to manage the maintenance of their physical assets. These assets, including equipment, facilities, vehicles, and infrastructure, need maintenance to sustain their operations. An EAM system provides the means to have less unplanned downtime and extended asset longevity, which offers clear business benefits that improve the profit and loss statement and balance sheet. Particularly for capital-intensive industries, like drilling and exploration, the failure of on-time delivery of critical equipment or processes is disruptive and costs nonproductive time and customer satisfaction. Organizations understand these issues and employ an appropriate asset management system to engineer their asset maintenance and management. An EAM system is needed to manage the people, assets/equipment, and processes. EAMs are used to plan, optimize, execute, and track the needed maintenance activities with associated priorities, skills, materials, tools, and information. Similarly, nondestructive testing (NDT) is used as a tool for integrity assessment of assets in drilling and exploration. The main advantage of using NDT is that the item’s intended use or serviceability is not affected. The selection of a specific technique should be based on knowledge and skills that include design, material processing, and material evaluation. Validating the purpose of this paper, we emphasize the importance of optimizing the asset utilization and serviceability to enhance overall efficiency by integrating EAM software that manages assets, the operation management system (OMS) controlling the processes, and asset inspection management systems (AIMSs).


10.1596/30254 ◽  
2018 ◽  
Author(s):  
Anne Olivier ◽  
Caterina Ruggeri Laderchi

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