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2016-09-27
Technical Paper
2016-01-8109
Daniel Aceituna
When specifying an embedded system-to-be, a key consideration is how the embedded system will interact with its operating environment. Of particular concern, is the system's vulnerability to Off-Nominal Behaviors (ONB) from human interaction. ONB vulnerability can result in human operators placing the system in an undesired state through an unforeseen sequence of events. This, in turn, can have an adverse effect on the system’s quality. Reducing ONB vulnerability can be challenging because human behavior can be unpredictable and stakeholders have a natural tendency to assume the system will be used in a predictable, nominal, manner. One approach to reducing ONB vulnerability is to specify the system as "fool-proof" as possible, during the requirements phase, where access to domain experts is at its most convenient.
2016-09-14
Technical Paper
2016-01-1888
Jie Hu, Yehui Li, Jun Cai, Richard Turkson, Feng Lin, Meiyun Qiao
With the development of the society, automobiles have been widely used in various classes of the society, while some issues came out such as traffic safety, environmental pollution and energy shortages and became increasingly serious. It reported that good driving behaviors can be applied to driving assistance, active safety, fuel economy improvement and others aspects to alleviate this problem. This thesis proposed that by way of data acquisition and identification of driving behaviors based on vehicle bus, it can be identified the driver’s driving habit and accelerating intentions through these information without additional sensors. Firstly, K line and CAN line, which are known by the current mainstream vehicle bus, are selected as the research object, then we analyzing communication protocol of bus data link layer, data transport layer and application layer according to the OSI model.
2016-09-14
Technical Paper
2016-01-1870
Jun Ma, Maofei Xu, Yuchun Du
Today’s drivers have to deal with a growing amount of information coming from in-vehicle infotainment systems. The interaction between the driver and the system is critical because it might distract the driver from the primary task of driving. To make the in-car interactions more convenient and intuitive, gestures and gesture recognition are terms increasingly arisen in discussions of human-computer interaction, and application trials of gesture control have appeared more and more in automotive industry. The aim of this study is to find out if gestures can reasonably be used to control in-car devices. Since there exists a big cultural difference of gesture between different countries because of its particularity, a set of gestures which support intuitive human-machine interaction in an automotive environment is searched. The results show a gesture dictionary for a variety of on-board functions, which conforms to Chinese drivers’ driving habits.
2016-09-14
Technical Paper
2016-01-1872
Bin Wu, Xichan Zhu, Lin li
This paper aims to determine how vehicle driver steering behavior seen in the emergency lane change event. Through the emergency lane change cases extracted from the China naturalistic driving data, the driver’s steering characteristics can be obtained and analyzed. Then the driving steering behaviors divides into avoidance and stabilization steering phases, and the different steering characteristics were found. It’s shown that during the avoidance phase, the steering generally follow the bell-shaped profiles of steering angle rate, and a linear relationship was found between the maximum steering wheel rate and steering wheel angle, which indicates a constant movement time for the avoidance steering. However, during the stabilization phase, the steering angle rate can be described using two or more overlapping bell-shaped profiles, something which relates to the different steering strategies in the avoidance phase.
2016-07-19
Video
Americans are wary of driverless cars. In this episode of SAE Eye on Engineering, Editor-In-Chief Lindsay Brooke looks at a recent national survey following the death of a Tesla Model S driving using his car's "Autopilot" feature. SAE Eye on Engineering also airs Monday mornings on WJR 760 AM Detroit's Paul W. Smith Show. Access archived episodes of SAE Eye on Engineering.
2016-06-27
WIP Standard
AIR6319
This document describes how the program achieves its objective: to educate and train currently qualified commercial pilots with multi-engine and instrument ratings for First Officer and eventually Captain positions with the regional and/or the major airlines. This document provides an overview of a selection process, an academic curriculum, and a flight training program which will develop industry-recognized competencies and instill the knowledge, skills and attitudes known as professional standards.
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