---
title: 'Making Human Robot Interaction Easier At Intersections by Modeling Human Drivers In A Probabilistic Way'
disqus: hackmd
---

LiuYC Master Thesis Draft
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###### tags: `master thesis`

> [name=員成][time=Tue, Jun 4]
> [color=#87CEFA]

ACKNOWLEDGEMENT
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ABSTRACT
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Highlights :

- no need to perform the trajectory prediction
- computationally efficient

CHAPTER 1 : Introduction
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### Summary (for the thesis)
.......
........

#### 1-1 Motivation : Autonomous vehicles need to drive like a human
- Fully (SAE level 5) autonomous vehicles are unlikely to be commercially available befoer 2020. Needless to say, we are decades away from the world with 100% fully autonomous vehicles adoptation.([Mckinsey][mck])
- > Mckinsey
> 

- > Silicon Valley Mobility
> 

- Autonomous vehicles nowadays can't stop human drivers from rear-ended them.([CA DMV][DMV])

[mck]:https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/disruptive-trends-that-will-transform-the-auto-industry
[DMV]:https://hackmd.io/@OKHSrMFMRuaIsXIG4gjmMA/BkgLxxrAE/edit

#### 1-2 Background and Literature Review

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CHAPTER 2 : Human Driver Modeling
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#### 2-1 Time to Collision and Time to Action

In support of the goasl set forth in Chapter 1, ....
(Here is the brief into of Chapter 2 section by section)

#### 2-2 Probability of Yielding (A probabilistic driver's model)

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CHAPTER 3 : Simulated Annealing and Analysis
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CHAPTER 4 : Varification and Validation
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- Classification Accuracy Rate
- [Confusion Matrices][CM]
- ROC, F1 test

[CM]:https://www.dataschool.io/simple-guide-to-confusion-matrix-terminology/

#### 4-1 Varification using simulated intersection

#### 4-2 Varification using real world intersection

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CHAPTER : Methodology and Application
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CHAPTER : Conclusions, Contributions and Future Work
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EXAMPLES
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- [Design and Control of a Self-balancing Bicycle Using an Electric Linear Actuator][designncontrol]
- [On Design and Analysis of Cyber-Physical Systems with Strategic Agents][ondesign]
- [ANALYSIS, DESIGN, AND OPTIMIZATION OF STRUCTURES WITH INTEGRAL COMPLIANT MECHANISMS FOR MID-FREQUENCY RESPONSE][analysis]

[designncontrol]:[https://deepblue.lib.umich.edu/bitstream/handle/2027.42/148871/MastersThesis_FinalDraft%20%283%29.pdf?sequence=1&isAllowed=y]
[ondesign]:[https://deepblue.lib.umich.edu/bitstream/handle/2027.42/140850/tavaf_1.pdf?sequence=1&isAllowed=y]
[analysis]:https://deepblue.lib.umich.edu/handle/2027.42/60284