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This technical paper collection contains 11 papers by leading experts in the field of intelligent vehicle technologies. Topics include vehicle navigation, collision avoidance, sensor and camera-based autonomous driving and parking, and vehicle to vehicle communications. Practical examples include the use of sensors, software, data and control logic to assist or guide the driver and/or to control the vehicle.

When vehicles share certain information wirelessly via Dedicated Short Range Communications (DSRC), they enable a new layer of electronic vehicle safety that, when needed, can generate warnings to drivers and even initiate automatic preventive actions. Vehicle location and velocity provided by Global Navigation Systems (GNSS), including GPS, are key in allowing vehicle path estimation. GNSS is effective in accurately determining a vehicle's location coordinates in most driving environments, but its performance suffers from obstructions in dense urban environments. To combat this, augmentations to GNSS are being contemplated and tested. This testing has been typically done using a reference GNSS system complimented by expensive military-grade inertial sensors, which can still fail to provide adequate reference performance in certain environments.

Traditionally, an in-vehicle map consists of only one type of data, tailored for a single user function. For example, the navigation maps contain spatial information about the roads. Presenter Peter Nordin, Link�ping University

The 7 papers in this technical paper collections focus on intelligent vehicle initiative (IVI) technology advanced controls and navigation systems. Topics covered include Curvilinear Coordinate system, PHEV Energy Management, DSRC Communication, and more. The 7 papers in this technical paper collections focus on intelligent vehicle initiative (IVI) technology advanced controls and navigation systems. Topics covered include Curvilinear Coordinate system, PHEV Energy Management, DSRC Communication, and more.

Abstract A number of studies have shown that driving an unfamiliar vehicle has the potential to introduce additional risk, especially for novice drivers. However, such studies have generally used statistical methods based on analyzing crash and near-crash data from a range of driver groups, and therefore the evaluation has the potential to be subjective and limited. For a more objective perspective, this study suggests that it would be worthwhile to consider vehicle dynamic signals obtained from the Controller Area Network (CAN-Bus) and smartphones. This study, therefore, is focused on the effect of driver experience and vehicle familiarity for issues in driver modeling and distraction. Here, a group of 20 drivers participated in our experiment, with 13 of them having participated again after a one-year time lapse in order for analysis of their change in driving performance.

Abstract Future SAE Level 4 and Level 5 autonomous vehicles (AV) will require novel applications of localization, perception, control, and artificial intelligence technology in order to offer innovative and disruptive solutions to current mobility problems. This article concentrates on low-speed autonomous shuttles that are transitioning from being tested in limited traffic, dedicated routes to being deployed as SAE Level 4 automated driving vehicles in urban environments like college campuses and outdoor shopping centers within smart cities. The Ohio State University has designated a small segment in an underserved area of the campus as an initial AV pilot test route for the deployment of low-speed autonomous shuttles. This article presents initial results of ongoing work on developing solutions to the localization and perception challenges of this planned pilot deployment.

The 11 papers in this technical paper collection cover intelligent vehicle technologies. Topics include: vehicle communications and networks, driver drowsiness and driving pattern detection, sensors and GPS, vehicle and chassis control and autonomous vehicles, route prediction, head-up displays and power transmission for electric vehicles.

This document establishes techniques for validating that a mission store complies with the interface requirements contained in MIL-STD-1760 Revision D.

This interface control document defines the (e)Loran based alternate PNT interface for the EGI. It provides technical descriptions of definitions, specifications, and explanations for general distribution to providers, manufacturers, and consumers.

This Loran-C specification is intended as a reference document consisting of definitions, specifications, and explanations for general distribution to designers, manufacturers, and users. This specification provides a technical description of the Loran-C transmitting station’s signal.

This information report provides an overview of the eLoran PNT system.

This recommended practice provides guidance for using the eLoran signal for timing, phase, and frequency.

This document explains how industry standard SAE AS5553 supports implementation of DFARS 252-246-7007 using a practical cost effective and risk based approach

Acoustic Microscopy Test Methods for Counterfeit Capacitors

The intent of this document is to define the methodology for suspect/counterfeit parts inspection using REME Analysis. The purpose of REME Analysis for suspect counterfeit part inspection is to detect misrepresentation or tampering of a part. REME Analysis can also potentially detect unintentional damage to the part resulting from improper removal of the part from assemblies, exposure to electrostatic discharge, exposure to radiation outside of acceptable limits (ionizing or high-power electromagnetic), or degradation. Improper removal of part from assemblies may include, but is not limited to, prolonged elevated temperature exposure during desoldering operations or mechanical stresses during removal. Degradation may include, but is not limited to, prolonged burn-in/testing, exposure to out-of-specification environmental conditions, or use outside of expected electrical tolerances.

Non-conformance and now Suspect counterfeit packaging represents a hazard to electrostatic discharge (ESD) sensitive devices or components through cross contamination during transport and storage while generating high voltage discharges to ESD sensitive devices during in shipping, the inspection process, handling and manufacturing. Several aerospace related issues involve long-term storage supplier non-conformance with antistatic foams, antistatic bubble, antistatic pink poly, vacuum formed antistatic polymers, Type I moisture barrier bags and Type III static shielding bags have posed issues. The late John Kolyer, Ph.D. (Boeing, Ret.) and Ray Gompf, P.E., Ph.D. (NASA-KSC, Ret.) were advocates in the utilization of a formalized physical testing material qualification process. Today, however, prime contractors and CMs rely heavily upon a visual inspection process for ESD packaging materials.

This document defines capabilities and limitations of LSM and CLSM as they pertain to suspect/counterfeit EEE part detection. Additionally, this document outlines requirements associated with the application of LSM and CLSM including: operator training, sample preparation, various imaging techniques, data interpretation, calibration, and reporting of test results. This test method is primarily directed to analyses performed in the visible to near infrared range (approximately 400nm to 1100nm). The Test Laboratory shall be accredited to ISO/IEC 17025 to perform the LSM and CLSM Test Methods as defined in this standard. The Test Laboratory shall indicate in the ISO/IEC 17025 Scope statement, the specific method being accredited to: Option 1: All AS6171/17 Test Methods, or Option 2: All AS6171/17 Test Methods except CLSM. If SAE AS6171/17 is invoked in the contract, the base document, AS6171 General Requirements shall also apply.

This test method provides the capabilities, limitations, and suggested possible applications of TMA as it pertains to detection of suspect/counterfeit EEE parts. Additionally, this document outlines requirements associated with the application of TMA including: equipment requirements, test sample requirements, methodology, control and calibration, data analysis, reporting, and qualification and certification.

This document defines capabilities and limitations of Auger Electron Spectroscopy (AES) as it pertains to detection of suspect/counterfeit EEE parts and suggests possible applications to these ends. Additionally, this document outlines requirements associated with the application of AES including: operator training and requirements; sample preparation; data interpretation and reporting of data.

This document defines capabilities and limitations of Gas Chromatography/Mass Spectrometry (GC/MS) as it pertains to detection of suspect/counterfeit EEE parts and suggests possible applications to these ends. Additionally, this document outlines requirements associated with the application of GC/MS including: operator training; sample preparation; various sampling techniques; data interpretation; computerized spectral matching; equipment maintenance; and reporting of data. The discussion is limited to unit mass resolution spectrometers such as quadrupole systems and electron impact ionization.