Proposal

Genivi was started by the people who had the idea that car manufacturers were coming up with the same frameworks that looked similar. Like a face people have to have a common point of reference. In order to save time and money a collaboration project was formed. As a hardware and software engineer I find the Genivi to be interesting. As the number of older drivers increases I see a need for assistive communications. When people think of autonomous vehicles they tend to think of self driven cars, they think of self driven cars. However, antilock brakes have been saving lives for about 20 years. As shown by my attached resume it is easy to gather that I have an interest in helping people maintain a healthy and safe life style. C++ was my second programming language and I was used for many classes at Whitworth University. I watched a video that motivated me on the project. As the baby boomers in the United States age, they need more assistance driving. Neuromuscular diseases can restrict them from being a part of society. As people were able to drive automobiles to work instead of walking they had more of a purpose in life. The life expectancy in the time our country was founded was about 44. Now it is not unheard of to be 90 or 100. I believe that finding a purpose in life can be a meaning to get out of bed in the morning. Augmented reality is helpful in breaking complex situations into less complex situations. Factory work can be busy and workers are often wearing gloves. By displaying helpful information in the clearest way possible can be very helpful. With a faster, clearer viewing monitors it can help them in their persuing of happiness. We have come a long ways from the original computers that were heavily pixelated. I have enclosed an earlier graphics rendering with two more modern ones below.
I have an idea for coming up with a simulator that is based on this research: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0156512 they do indicate that mental workload has been shown in a simulator that showed some scenarios. I would like to be able to measure what specific situations are common for the workload overload. The simulator done by the University of Nottingham was only for a few minutes. I have reading a book called "Experience on Demand" on virtual reality. I can create a simulator in Unity3d so we can analyze situations noted by officials to be difficult by recreating traffic crash scenarios. By using an fNir and an eye movement sensor we can see where things could be made easier. I am fairly good at some of the Blender and Unity3d and Unreal game engines. The book Experiences on Demand says that the person is so caught up in focusing the task at hand, it can be difficult to remember that a person is actually in a simulator. By creating these scenes as realistic as possible with differing lead up scenarios such as incidents involving road rage, etc, I think we can go beyond acknowleding it exists to deconstructing them and so we can learn how augmented and virtual realities can assist the driver.

I have seen a presentation where a sidewalk chalk artist was able to make scenes that were 3d appearing but only so using a specific viewing point. This can be similar to a driver. By learning what falls apart and deconstructing scenes, we can have more information about helping people who have not yet developed or have lost hyerartical aqueity.



Some areas to figure out have to do with:
Night viewing and spacial reference
Points close to home which seem familiar so people let their guards down. It has been said that most car accidents happen close to home. In fact, a Progressive Insurance study from 2004 revealed that approximately 52% of all accidents occur within 5 miles from a person's home. Common neighborhood collisions include crashing into parked cars, backing out of a driveway and into someone driving by, and side-swiping a car to avoid pedestrians or other vehicles in the road.

 In addition to studying more about augmented reality enabling technologies I plan on studing tensor flow which, as the name implies uses tensors. It can be used as a metric when studying about brain images.

For more ideas  see statistics at:
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This expiriment has three stages:
1. Study crash reports and try to learn as much as we can about creating a story line for each of our tests.
2. Build virtual reality simulators that replicate selected scenarios
3. Recruit test subjects
4. Rerun simulator tests with augmented reality clues.
5. Evaluate which clues are effective

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