Optimal position and velocity navigation filters for autonomous vehicles

Automatica ◽  
2010 ◽  
Vol 46 (4) ◽  
pp. 767-774 ◽  
Author(s):  
Pedro Batista ◽  
Carlos Silvestre ◽  
Paulo Oliveira
Keyword(s):  
Autonomous Vehicles ◽  
Optimal Position ◽  
Navigation Filters

Analysis of field uniformity and quantitative evaluation of subsurface pitting corrosion in conductors via GPEC

2020 ◽  
Vol 64 (1-4) ◽  
pp. 19-29
Author(s):  
Shuting Ren ◽  
Yong Li ◽  
Bei Yan ◽  
Jinhua Hu ◽  
Ilham Mukriz Zainal Abidin ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Eddy Current ◽  
Pitting Corrosion ◽  
Gradient Field ◽  
Uniform Field ◽  
Eddy Current Method ◽  
Optimal Position ◽  
Pulsed Eddy Current ◽  
Field Uniformity ◽  
Processing Algorithms

Structures of nonmagnetic materials are broadly used in engineering fields such as aerospace, energy, etc. Due to corrosive and hostile environments, they are vulnerable to the Subsurface Pitting Corrosion (SPC) leading to structural failure. Therefore, it is imperative to conduct periodical inspection and comprehensive evaluation of SPC using reliable nondestructive evaluation techniques. Extended from the conventional Pulsed eddy current method (PEC), Gradient-field Pulsed Eddy Current technique (GPEC) has been proposed and found to be advantageous over PEC in terms of enhanced inspection sensitivity and accuracy in evaluation and imaging of subsurface defects in nonmagnetic conductors. In this paper two GPEC probes for uniform field excitation are intensively analyzed and compared. Their capabilities in SPC evaluation and imaging are explored through simulations and experiments. The optimal position for deployment of the magnetic field sensor is determined by scrutinizing the field uniformity and inspection sensitivity to SPC based on finite element simulations. After the optimal probe structure is chosen, quantitative evaluation and imaging of SPC are investigated. Signal/image processing algorithms for SPC evaluation are proposed. Through simulations and experiments, it has been found that the T-shaped probe together with the proposed processing algorithms is advantageous and preferable for profile recognition and depth evaluation of SPC.

Rural Positioning Challenges for Connected and Autonomous Vehicles

2019 ◽  
Author(s):  
Joseph G. Walters ◽  
Xiaolin Meng ◽  
Chang Xu ◽  
Hao (Julia) Jing ◽  
Stuart Marsh
Keyword(s):  
Autonomous Vehicles

An Open Multi-Sensor Fusion Toolbox for Autonomous Vehicles

2020 ◽  
Vol E103.A (1) ◽  
pp. 252-264
Author(s):  
Abraham MONRROY CANO ◽  
Eijiro TAKEUCHI ◽  
Shinpei KATO ◽  
Masato EDAHIRO
Keyword(s):  
Sensor Fusion ◽  
Autonomous Vehicles

Fundamental Imaging System Analysis for Autonomous Vehicles

2018 ◽  
Vol 2018 (17) ◽  
pp. 105-1-105-10 ◽  
Author(s):  
Robin Jenkin ◽  
Paul Kane
Keyword(s):  
Autonomous Vehicles ◽  
System Analysis ◽  
Imaging System

Autonomous vehicles and freight traffic: towards better efficiency of road, rail or urban logistics?

2018 ◽  
Vol 58 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Péter Bucsky
Keyword(s):  
Autonomous Vehicles ◽  
Road Transport ◽  
Transport Sector ◽  
Future Directions ◽  
Car Industry ◽  
Level Of Automation ◽  
Current State ◽  
Freight Traffic ◽  
Levels Of Automation ◽  
Private Car

Abstract The freight transport sector is a low profit and high competition business and therefore has less ability to invest in research and development in the field of autonomous vehicles (AV) than the private car industry. There are already different levels of automation technologies in the transport industry, but most of these are serving niche demands and answers have yet to be found about whether it would be worthwhile to industrialise these technologies. New innovations from different fields are constantly changing the freight traffic industry but these are less disruptive than on other markets. The aim of this article is to show the current state of development of freight traffic with regards to AVs and analyse which future directions of development might be viable. The level of automation is very different in the case of different transport modes and most probably the technology will favour road transport over other, less environmentally harmful traffic modes.

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