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#6- Social

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It is thought that a project cannot be successful unless it is open to public and fixed the mistakes based on clients' feedbacks. Sometimes, users' opinions are also an inspiration to manufacturers make the market more colourful. This definitely involves automated cars and some relevant projects. Let's take a look at some illustrations below to clearly see the difference in people's outlook on autonomous world. 1. Type of vehicle used: Since  Vietnam (my country) is still a developing country, affording a car is not easy to most of the population, and because of the limited traffic system, riding a motorbike is always the number one choice for people.                 2. Interest in having an autonomous car: 2 among 10 people asked seem not to be interested in autonomous car since one prefer driving the car by himself and enjoy his car's ownership (maybe it is hard to him to afford a car so he really appreciates it), and the other worries about some bad sit

#4- Personality

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  Hello~ I'm Joxy, an almost-sophomore student from Duy Tan University, Danang, Vietnam. As we all know, each of us is an unique individual with different characteristics, which affect pretty much our behaviour, our outlook on life and the way we contribute to a team's performance. Now let's take a look at some summaries of my personal traits which is a result of personality assessing quiz from ITP metrics: 1. EXTRAVERSION - highly moderate This pattern reflects that I am relatively an extrovert who are joyful, optimistic, open to ideas/ experiences and comfortable to meet new people. Besides, I seem to prefer to individualism to collectivism and can switch  between managing multiple activities at once and finding time to take it easy and relax. However, in this modern world which appreciates team-work more and more, I need to improve the skills of adapting to work involving more people and also let the others step forwards and contribute more. 2. EMOTIONAL

#2- Technological

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1. Types of technology found in autonomous vehicles: - Radar: Accident-prevention systems trigger alerts when they detect something in a car's  blind spot. - Lidar: A rooftop ranging system comprised of laser paints a 360-degree picture of the car's surroundings that is accurate to within 2 centimeters. - Stereo vision: 2 wind-shield mounted cameras build a real-time 3D image of the road ahead, spoting hazards like pedestrians and animals. - Lane guidance: Cameras mounted behind the rear-view mirror recognize lane markings, spoting te contrast between the road surface and boundary lines. - Infrared camera: 2  infrared headlamps extend your vision at night without blinding other drivers. The  signature of the infrared beam is detected by a camera, which displays an illuminated image on the dashboard. - GPS: GPS is accurate to within 1.9 meters. With GPS covering the macro location of a vehicle, smaller on-deck cameras can recognize smaller details like red li

#1- Introduction

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1. SAE International's autonomous vehicles classification: Level 0: Automated system issues warnings but has no vehicle control. Level 1 (”hands on”): Driver and automated system shares control over the vehicle. An example would be Adaptive Cruise Control (ACC) where the driver controls steering and the automated system controls speed. Using Parking Assistance, steering is automated while speed is manual. The driver must be ready to retake full control at any time. Lane Keeping Assistance (LKA) Type II is a further example of level 1 self driving. Level 2 (”hands off”): The automated system takes full control of the vehicle (accelerating, braking, and steering). The driver must monitor the driving and be prepared to immediately intervene at any time if the automated system fails to respond properly. The shorthand ”hands off” is not meant to be taken literally. In fact, contact between hand and wheel is often mandatory during SAE 2 driving, to confirm that the driver is rea